Articles | Volume 23, issue 7
https://doi.org/10.5194/hess-23-2841-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-2841-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Jul 2019
Research article |
| 08 Jul 2019
| 08 Jul 2019
Multi-decadal hydrologic change and variability in the Amazon River basin: understanding terrestrial water storage variations and drought characteristics
Suyog Chaudhari
Department of Civil and Environmental Engineering, Michigan State
University, East Lansing, MI 48824, USA
Department of Civil and Environmental Engineering, Michigan State
University, East Lansing, MI 48824, USA
Emilio Moran
Department of Geography, Environment and Spatial Sciences, Michigan
State University, East Lansing, MI 48824, USA
Gonzalo Miguez-Macho
Non-Linear Physics Group, Faculty of Physics 15782, Universidade de
Santiago de Compostela, Galicia, Spain
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Marc Lemus-Canovas, Sergi Gonzalez-Herrero, Laura Trapero, Anna Albalat, Damian Insua-Costa, Martin Senande-Rivera, and Gonzalo Miguez-Macho
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-192, https://doi.org/10.5194/nhess-2024-192, 2024
Preprint under review for NHESS
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This study explores the 2022 heatwaves in the Pyrenees, examining the factors that contributed to their intensity and distribution. The June event was driven by strong winds that created uneven temperature patterns, while the July heatwave featured calmer conditions and more uniform temperatures. Human-driven climate change has made these heatwaves more severe compared to the past. This research helps us better understand how climate change affects extreme weather in mountainous regions.
Carolina A. Bieri, Francina Dominguez, Gonzalo Miguez-Macho, and Ying Fan
EGUsphere, https://doi.org/10.5194/egusphere-2024-2412, https://doi.org/10.5194/egusphere-2024-2412, 2024
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Access to deep moisture below the earth's surface is important for vegetation in areas of the Amazon where there is little precipitation for part of the year. Most existing numerical models of the earth system cannot capture where and when deep root water uptake occurs. In this study, we address this by adding a new root water uptake feature to an existing model. Adding this feature increases dry month transpiration and improves the model's simulation of the annual transpiration cycle.
Huy Dang and Yadu Pokhrel
Hydrol. Earth Syst. Sci., 28, 3347–3365, https://doi.org/10.5194/hess-28-3347-2024, https://doi.org/10.5194/hess-28-3347-2024, 2024
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By examining basin-wide simulations of a river regime over 83 years with and without dams, we present evidence that climate variation was a key driver of hydrologic variabilities in the Mekong River basin (MRB) over the long term; however, dams have largely altered the seasonality of the Mekong’s flow regime and annual flooding patterns in major downstream areas in recent years. These findings could help us rethink the planning of future dams and water resource management in the MRB.
Alfredo Crespo-Otero, Damián Insua-Costa, Emilio Hernández-García, Cristóbal López, and Gonzalo Míguez-Macho
Earth Syst. Dynam. Discuss., https://doi.org/10.5194/esd-2024-18, https://doi.org/10.5194/esd-2024-18, 2024
Preprint under review for ESD
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We evaluated two Lagrangian moisture tracking tools, WaterSip and UTrack, and compared them against the WRF model with Water Vapor Tracers. Our results show that UTrack, which relies on evaporation and precipitable water data, has a slightly better agreement with WRF-WVTs than WaterSip, based on specific humidity data. Implementing simple physics-based changes substantially improved both methodologies, reducing discrepancies by about 50 % and narrowing the the disparities among all approaches.
Hannes Müller Schmied, Simon Newland Gosling, Marlo Garnsworthy, Laura Müller, Camelia-Eliza Telteu, Atiq Kainan Ahmed, Lauren Seaby Andersen, Julien Boulange, Peter Burek, Jinfeng Chang, He Chen, Manolis Grillakis, Luca Guillaumot, Naota Hanasaki, Aristeidis Koutroulis, Rohini Kumar, Guoyong Leng, Junguo Liu, Xingcai Liu, Inga Menke, Vimal Mishra, Yadu Pokhrel, Oldrich Rakovec, Luis Samaniego, Yusuke Satoh, Harsh Lovekumar Shah, Mikhail Smilovic, Tobias Stacke, Edwin Sutanudjaja, Wim Thiery, Athanasios Tsilimigkras, Yoshihide Wada, Niko Wanders, and Tokuta Yokohata
EGUsphere, https://doi.org/10.5194/egusphere-2024-1303, https://doi.org/10.5194/egusphere-2024-1303, 2024
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Global water models contribute to the evaluation of important natural and societal issues but are – as all models – simplified representation of the reality. So, there are many ways to calculate the water fluxes and storages. This paper presents a visualization of 16 global water models using a standardized visualization and the pathway towards this common understanding. Next to academic education purposes, we envisage that these diagrams will help researchers, model developers and data users.
Wei Jing Ang, Edward Park, Yadu Pokhrel, Dung Duc Tran, and Ho Huu Loc
Earth Syst. Sci. Data, 16, 1209–1228, https://doi.org/10.5194/essd-16-1209-2024, https://doi.org/10.5194/essd-16-1209-2024, 2024
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Dams have burgeoned in the Mekong, but information on dams is scattered and inconsistent. Up-to-date evaluation of dams is unavailable, and basin-wide hydropower potential has yet to be systematically assessed. We present a comprehensive database of 1055 dams, a spatiotemporal analysis of the dams, and a total hydropower potential of 1 334 683 MW. Considering projected dam development and hydropower potential, the vulnerability and the need for better dam management may be highest in Laos.
Urmin Vegad, Yadu Pokhrel, and Vimal Mishra
Hydrol. Earth Syst. Sci., 28, 1107–1126, https://doi.org/10.5194/hess-28-1107-2024, https://doi.org/10.5194/hess-28-1107-2024, 2024
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A large population is affected by floods, which leave their footprints through human mortality, migration, and damage to agriculture and infrastructure, during almost every summer monsoon season in India. Despite the massive damage of floods, sub-basin level flood risk assessment is still in its infancy and needs to be improved. Using hydrological and hydrodynamic models, we reconstructed sub-basin level observed floods for the 1901–2020 period.
Jiabo Yin, Louise J. Slater, Abdou Khouakhi, Le Yu, Pan Liu, Fupeng Li, Yadu Pokhrel, and Pierre Gentine
Earth Syst. Sci. Data, 15, 5597–5615, https://doi.org/10.5194/essd-15-5597-2023, https://doi.org/10.5194/essd-15-5597-2023, 2023
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This study presents long-term (i.e., 1940–2022) and high-resolution (i.e., 0.25°) monthly time series of TWS anomalies over the global land surface. The reconstruction is achieved by using a set of machine learning models with a large number of predictors, including climatic and hydrological variables, land use/land cover data, and vegetation indicators (e.g., leaf area index). Our proposed GTWS-MLrec performs overall as well as, or is more reliable than, previous TWS datasets.
Xavier Fonseca, Gonzalo Miguez-Macho, José A. Cortes-Vazquez, and Antonio Vaamonde
Geosci. Commun., 5, 177–188, https://doi.org/10.5194/gc-5-177-2022, https://doi.org/10.5194/gc-5-177-2022, 2022
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In this paper, we discuss the instrumental role of the press in informing and educating the public on the subject of climate science and climate change. We illustrate this using an example of a dissemination format called Weather Stories, published daily in one of the most read newspapers in Spain. The particularities of this journalistic format are described using a practical example of a relatively complex physical concept: the jet stream.
Inne Vanderkelen, Shervan Gharari, Naoki Mizukami, Martyn P. Clark, David M. Lawrence, Sean Swenson, Yadu Pokhrel, Naota Hanasaki, Ann van Griensven, and Wim Thiery
Geosci. Model Dev., 15, 4163–4192, https://doi.org/10.5194/gmd-15-4163-2022, https://doi.org/10.5194/gmd-15-4163-2022, 2022
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Human-controlled reservoirs have a large influence on the global water cycle. However, dam operations are rarely represented in Earth system models. We implement and evaluate a widely used reservoir parametrization in a global river-routing model. Using observations of individual reservoirs, the reservoir scheme outperforms the natural lake scheme. However, both schemes show a similar performance due to biases in runoff timing and magnitude when using simulated runoff.
Sara Cloux, Daniel Garaboa-Paz, Damián Insua-Costa, Gonzalo Miguez-Macho, and Vicente Pérez-Muñuzuri
Hydrol. Earth Syst. Sci., 25, 6465–6477, https://doi.org/10.5194/hess-25-6465-2021, https://doi.org/10.5194/hess-25-6465-2021, 2021
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We examine the performance of a widely used Lagrangian method for moisture tracking by comparing it with a highly accurate Eulerian tool, both operating on the same WRF atmospheric model fields. Although the Lagrangian approach is very useful for a qualitative analysis of moisture sources, it has important limitations in quantifying the contribution of individual sources to precipitation. These drawbacks should be considered by other authors in the future so as to not draw erroneous conclusions.
Camelia-Eliza Telteu, Hannes Müller Schmied, Wim Thiery, Guoyong Leng, Peter Burek, Xingcai Liu, Julien Eric Stanislas Boulange, Lauren Seaby Andersen, Manolis Grillakis, Simon Newland Gosling, Yusuke Satoh, Oldrich Rakovec, Tobias Stacke, Jinfeng Chang, Niko Wanders, Harsh Lovekumar Shah, Tim Trautmann, Ganquan Mao, Naota Hanasaki, Aristeidis Koutroulis, Yadu Pokhrel, Luis Samaniego, Yoshihide Wada, Vimal Mishra, Junguo Liu, Petra Döll, Fang Zhao, Anne Gädeke, Sam S. Rabin, and Florian Herz
Geosci. Model Dev., 14, 3843–3878, https://doi.org/10.5194/gmd-14-3843-2021, https://doi.org/10.5194/gmd-14-3843-2021, 2021
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We analyse water storage compartments, water flows, and human water use sectors included in 16 global water models that provide simulations for the Inter-Sectoral Impact Model Intercomparison Project phase 2b. We develop a standard writing style for the model equations. We conclude that even though hydrologic processes are often based on similar equations, in the end these equations have been adjusted, or the models have used different values for specific parameters or specific variables.
Robert Reinecke, Hannes Müller Schmied, Tim Trautmann, Lauren Seaby Andersen, Peter Burek, Martina Flörke, Simon N. Gosling, Manolis Grillakis, Naota Hanasaki, Aristeidis Koutroulis, Yadu Pokhrel, Wim Thiery, Yoshihide Wada, Satoh Yusuke, and Petra Döll
Hydrol. Earth Syst. Sci., 25, 787–810, https://doi.org/10.5194/hess-25-787-2021, https://doi.org/10.5194/hess-25-787-2021, 2021
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Billions of people rely on groundwater as an accessible source of drinking water and for irrigation, especially in times of drought. Groundwater recharge is the primary process of regenerating groundwater resources. We find that groundwater recharge will increase in northern Europe by about 19 % and decrease by 10 % in the Amazon with 3 °C global warming. In the Mediterranean, a 2 °C warming has already lead to a reduction in recharge by 38 %. However, these model predictions are uncertain.
Breogán Gómez and Gonzalo Miguez-Macho
Earth Syst. Dynam. Discuss., https://doi.org/10.5194/esd-2020-71, https://doi.org/10.5194/esd-2020-71, 2020
Publication in ESD not foreseen
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Spectral nudging imposes the large scale fields from a global model into a regional model. We study which are the best scales on a tropical setting and how long is needed to run the model before it is in balance with the nudging force. Optimal results are obtained when nudging is applied in the Rossby Radius scales for at least 72 h to 96 h. We also propose a new method where a different scale is used for each nudged variable, which bests other configurations when applied in 4 hurricanes cases.
Tokuta Yokohata, Tsuguki Kinoshita, Gen Sakurai, Yadu Pokhrel, Akihiko Ito, Masashi Okada, Yusuke Satoh, Etsushi Kato, Tomoko Nitta, Shinichiro Fujimori, Farshid Felfelani, Yoshimitsu Masaki, Toshichika Iizumi, Motoki Nishimori, Naota Hanasaki, Kiyoshi Takahashi, Yoshiki Yamagata, and Seita Emori
Geosci. Model Dev., 13, 4713–4747, https://doi.org/10.5194/gmd-13-4713-2020, https://doi.org/10.5194/gmd-13-4713-2020, 2020
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The most significant feature of MIROC-INTEG-LAND is that the land surface model that describes the processes of the energy and water balances, human water management, and crop growth incorporates a land-use decision-making model based on economic activities. The future simulations indicate that changes in climate have significant impacts on crop yields, land use, and irrigation water demand.
Zhe Zhang, Yanping Li, Michael Barlage, Fei Chen, Gonzalo Miguez-Macho, Andrew Ireson, and Zhenhua Li
Hydrol. Earth Syst. Sci., 24, 655–672, https://doi.org/10.5194/hess-24-655-2020, https://doi.org/10.5194/hess-24-655-2020, 2020
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The groundwater regime in cold regions is strongly impacted by the soil freeze–thaw processes and semiarid climatic conditions. In this paper, we incorporate groundwater dynamics in the Noah-MP land surface model to simulate the water exchange between the unsaturated soil zone and an unconfined aquifer in the Prairie Pothole Region. The water table dynamics are reasonably simulated. The water budget of groundwater aquifer under current and future climate are also investigated.
Alberto Martínez-de la Torre and Gonzalo Miguez-Macho
Hydrol. Earth Syst. Sci., 23, 4909–4932, https://doi.org/10.5194/hess-23-4909-2019, https://doi.org/10.5194/hess-23-4909-2019, 2019
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Over semi-arid regions, it is essential to have a correct representation of the groundwater processes in climate modelling. We present a land surface and groundwater model that incorporates groundwater–soil interactions, groundwater–rivers flow and lateral transport at the subsurface. We study the groundwater influence on soil moisture distribution and memory, and on evapotranspiration in the Iberian Peninsula. Shallow water table regions persist and provide water to the surface during droughts.
Damián Insua-Costa, Gonzalo Miguez-Macho, and María Carmen Llasat
Hydrol. Earth Syst. Sci., 23, 3885–3900, https://doi.org/10.5194/hess-23-3885-2019, https://doi.org/10.5194/hess-23-3885-2019, 2019
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Here, we study the main moisture sources of the two famous western Mediterranean flood events of autumn 1982 (October and November). Results confirm the hypothesis that a large amount of precipitable water was involved, which was to a great extent advected from the tropics and subtropics. This remote moisture transport occurred at medium levels of the atmosphere via moisture plumes or atmospheric rivers. During the October event the contribution of local sources was also important.
Miguel A. Prósper, Ian Sosa Tinoco, Carlos Otero-Casal, and Gonzalo Miguez-Macho
Earth Syst. Dynam., 10, 485–499, https://doi.org/10.5194/esd-10-485-2019, https://doi.org/10.5194/esd-10-485-2019, 2019
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We study the fine-scale structure of Tehuano winds in the Isthmus of Tehuantepec, focusing on the flow beyond the well-known strong gap wind jet. We use high-resolution WRF model simulations to show that different downslope windstorm conditions and hydraulic jumps with rotor circulations develop in the mountains east of Chivela Pass depending on crest height and thermodynamic conditions of the air mass. The intense turbulent flows can have a large impact on the existent wind farms in the region.
Xingcai Liu, Wenfeng Liu, Hong Yang, Qiuhong Tang, Martina Flörke, Yoshimitsu Masaki, Hannes Müller Schmied, Sebastian Ostberg, Yadu Pokhrel, Yusuke Satoh, and Yoshihide Wada
Hydrol. Earth Syst. Sci., 23, 1245–1261, https://doi.org/10.5194/hess-23-1245-2019, https://doi.org/10.5194/hess-23-1245-2019, 2019
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Human activities associated with water resource management have significantly increased in China during the past decades. This assessment helps us understand how streamflow has been affected by climate and human activities in China. Our analyses indicate that the climate impact has dominated streamflow changes in most areas, and human activities (in terms of water withdrawals) have increasingly decreased streamflow in the northern basins of China which are vulnerable to future climate change.
Iago Algarra, Jorge Eiras-Barca, Gonzalo Miguez-Macho, Raquel Nieto, and Luis Gimeno
Earth Syst. Dynam., 10, 107–119, https://doi.org/10.5194/esd-10-107-2019, https://doi.org/10.5194/esd-10-107-2019, 2019
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We analyse moisture transport triggered by the Great Plains low-level jet (GPLLJ), a maximum in wind speed fields located within the first kilometre of the US Great Plain's troposphere, through the innovative Eulerian Weather Research and Forecasting Model tracer tool. Much moisture associated with this low-level jet has been found in northern regions located in a vast extension of the continent, highlighting the key role played by the GPLLJ in North America's advective transport of moisture.
Rogier Westerhoff, Paul White, and Gonzalo Miguez-Macho
Hydrol. Earth Syst. Sci., 22, 6449–6472, https://doi.org/10.5194/hess-22-6449-2018, https://doi.org/10.5194/hess-22-6449-2018, 2018
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Our study improved a global-scale groundwater model to build the first nationwide estimate of the water table surface in New Zealand. By identifying the main alluvial aquifers with high spatial detail, we showed that this model can help better delineate aquifer boundaries. In catchment studies we demonstrated excellent correlation with ground observations and provided water table estimates where data were sparse and across regions, which could help solve trans-boundary issues between catchments.
Jorge Eiras-Barca, Nieves Lorenzo, Juan Taboada, Alba Robles, and Gonzalo Miguez-Macho
Nat. Hazards Earth Syst. Sci., 18, 1633–1645, https://doi.org/10.5194/nhess-18-1633-2018, https://doi.org/10.5194/nhess-18-1633-2018, 2018
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This paper analyzes the connection between the so-called atmospheric rivers (ARs, long and narrow structures of anomalously high water vapor flux located in the warm sector of extratropical cyclones) and floods in the northwestern region of the Iberian Peninsula through the use of the
weather typesclassification adopting the subjective procedure of Lamb.
Damián Insua-Costa and Gonzalo Miguez-Macho
Earth Syst. Dynam., 9, 167–185, https://doi.org/10.5194/esd-9-167-2018, https://doi.org/10.5194/esd-9-167-2018, 2018
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We present here a newly implemented water vapor tracer tool into the WRF meteorological model (WRF-WVT). A detailed validation shows high accuracy, with an error of much less than 1 % in moisture traceability. As an example application, we show that for the 2014 Great Lake-effect snowstorm, above 30 % of precipitation in the regions immediately downwind originated from lake evaporation, with contributions exceeding 50 % in the areas with highest snowfall accumulations.
Naota Hanasaki, Sayaka Yoshikawa, Yadu Pokhrel, and Shinjiro Kanae
Hydrol. Earth Syst. Sci., 22, 789–817, https://doi.org/10.5194/hess-22-789-2018, https://doi.org/10.5194/hess-22-789-2018, 2018
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Six schemes were added to the H08 global hydrological model (GHM) to represent human water abstraction more accurately and ensure that all water fluxes and storage are traceable in each grid cell at a daily interval. The schemes of local reservoirs, aqueduct water transfer, and seawater desalination were incorporated into GHMs for the first time, to the best of our knowledge. H08 has become one of the most detailed GHMs for attributing water sources available to humanity.
Jorge Eiras-Barca, Alexandre M. Ramos, Joaquim G. Pinto, Ricardo M. Trigo, Margarida L. R. Liberato, and Gonzalo Miguez-Macho
Earth Syst. Dynam., 9, 91–102, https://doi.org/10.5194/esd-9-91-2018, https://doi.org/10.5194/esd-9-91-2018, 2018
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This paper analyses the potential role of atmospheric rivers in the explosive cyclone deepening. Using ERA-Interim reanalysis data for 1979–2011, we analyse the concurrence of atmospheric rivers and explosive cyclogenesis over the North Atlantic and North Pacific basins for the extended winter months (ONDJFM).
Jorge Eiras-Barca, Francina Dominguez, Huancui Hu, Daniel Garaboa-Paz, and Gonzalo Miguez-Macho
Earth Syst. Dynam., 8, 1247–1261, https://doi.org/10.5194/esd-8-1247-2017, https://doi.org/10.5194/esd-8-1247-2017, 2017
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This paper analyzes the origin of the moisture in two extremely important atmospheric river (and extreme precipitation) events. The distribution of the moisture with regard to the low-level jet is analyzed as well, and the classic association of the atmospheric river to the former is discussed.
Yoshihide Wada, Marc F. P. Bierkens, Ad de Roo, Paul A. Dirmeyer, James S. Famiglietti, Naota Hanasaki, Megan Konar, Junguo Liu, Hannes Müller Schmied, Taikan Oki, Yadu Pokhrel, Murugesu Sivapalan, Tara J. Troy, Albert I. J. M. van Dijk, Tim van Emmerik, Marjolein H. J. Van Huijgevoort, Henny A. J. Van Lanen, Charles J. Vörösmarty, Niko Wanders, and Howard Wheater
Hydrol. Earth Syst. Sci., 21, 4169–4193, https://doi.org/10.5194/hess-21-4169-2017, https://doi.org/10.5194/hess-21-4169-2017, 2017
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Rapidly increasing population and human activities have altered terrestrial water fluxes on an unprecedented scale. Awareness of potential water scarcity led to first global water resource assessments; however, few hydrological models considered the interaction between terrestrial water fluxes and human activities. Our contribution highlights the importance of human activities transforming the Earth's water cycle, and how hydrological models can include such influences in an integrated manner.
Pere Quintana-Seguí, Marco Turco, Sixto Herrera, and Gonzalo Miguez-Macho
Hydrol. Earth Syst. Sci., 21, 2187–2201, https://doi.org/10.5194/hess-21-2187-2017, https://doi.org/10.5194/hess-21-2187-2017, 2017
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The quality of two high-resolution precipitation datasets for Spain at the daily time scale is reported: the new SAFRAN-based dataset and Spain02. ERA-Interim is also included. The precipitation products are compared with observations. SAFRAN and Spain02 have very similar scores, and they perform better than ERA-Interim. The high-resolution gridded products overestimate the number of precipitation days. Both SAFRAN and Spain02 underestimate high precipitation events.
Related subject area
Subject: Global hydrology | Techniques and Approaches: Modelling approaches
Changes in mean evapotranspiration dominate groundwater recharge in semi-arid regions
Merging modelled and reported flood impacts in Europe in a combined flood event catalogue for 1950–2020
Global-scale evaluation of precipitation datasets for hydrological modelling
Influence of irrigation on root zone storage capacity estimation
River flow in the near future: a global perspective in the context of a high-emission climate change scenario
A high-resolution perspective of extreme rainfall and river flow under extreme climate change in Southeast Asia
Unveiling hydrological dynamics in data-scarce regions: experiences from the Ethiopian Rift Valley Lakes Basin
Technical note: Comparing three different methods for allocating river points to coarse-resolution hydrological modelling grid cells
Representing farmer irrigated crop area adaptation in a large-scale hydrological model
The effect of climate change on the simulated streamflow of six Canadian rivers based on the CanRCM4 regional climate model
Combined impacts of climate and land-use change on future water resources in Africa
Deep learning for quality control of surface physiographic fields using satellite Earth observations
Global dryland aridity changes indicated by atmospheric, hydrological, and vegetation observations at meteorological stations
Drivers of global irrigation expansion: the role of discrete global grid choice
Root zone soil moisture in over 25 % of global land permanently beyond pre-industrial variability as early as 2050 without climate policy
Assessment of pluri-annual and decadal changes in terrestrial water storage predicted by global hydrological models in comparison with the GRACE satellite gravity mission
Improving the quantification of climate change hazards by hydrological models: a simple ensemble approach for considering the uncertain effect of vegetation response to climate change on potential evapotranspiration
Towards reducing the high cost of parameter sensitivity analysis in hydrologic modeling: a regional parameter sensitivity analysis approach
Point-scale multi-objective calibration of the Community Land Model (version 5.0) using in situ observations of water and energy fluxes and variables
Methodology for constructing a flood-hazard map for a future climate
Diagnosing modeling errors in global terrestrial water storage interannual variability
Hyper-resolution PCR-GLOBWB: opportunities and challenges from refining model spatial resolution to 1 km over the European continent
Poor correlation between large-scale environmental flow violations and freshwater biodiversity: implications for water resource management and the freshwater planetary boundary
Accuracy of five ground heat flux empirical simulation methods in the surface-energy-balance-based remote-sensing evapotranspiration models
Coupling a global glacier model to a global hydrological model prevents underestimation of glacier runoff
Revisiting large-scale interception patterns constrained by a synthesis of global experimental data
Investigating coastal backwater effects and flooding in the coastal zone using a global river transport model on an unstructured mesh
Using a long short-term memory (LSTM) neural network to boost river streamflow forecasts over the western United States
Quantifying overlapping and differing information of global precipitation for GCM forecasts and El Niño–Southern Oscillation
Globally widespread and increasing violations of environmental flow envelopes
Inundation prediction in tropical wetlands from JULES-CaMa-Flood global land surface simulations
Soil moisture estimation in South Asia via assimilation of SMAP retrievals
Toward hyper-resolution global hydrological models including human activities: application to Kyushu island, Japan
Towards hybrid modeling of the global hydrological cycle
The importance of vegetation in understanding terrestrial water storage variations
Large-scale sensitivities of groundwater and surface water to groundwater withdrawal
A hydrography upscaling method for scale-invariant parametrization of distributed hydrological models
A novel method to identify sub-seasonal clustering episodes of extreme precipitation events and their contributions to large accumulation periods
Bright and blind spots of water research in Latin America and the Caribbean
Land surface modeling over the Dry Chaco: the impact of model structures, and soil, vegetation and land cover parameters
Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management
Robust historical evapotranspiration trends across climate regimes
A note on leveraging synergy in multiple meteorological data sets with deep learning for rainfall–runoff modeling
Global scenarios of irrigation water abstractions for bioenergy production: a systematic review
Coordination and control – limits in standard representations of multi-reservoir operations in hydrological modeling
Uncertainty of simulated groundwater recharge at different global warming levels: a global-scale multi-model ensemble study
Ubiquitous increases in flood magnitude in the Columbia River basin under climate change
Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors
The role of household adaptation measures in reducing vulnerability to flooding: a coupled agent-based and flood modelling approach
Assessing global water mass transfers from continents to oceans over the period 1948–2016
Tuvia Turkeltaub and Golan Bel
Hydrol. Earth Syst. Sci., 28, 4263–4274, https://doi.org/10.5194/hess-28-4263-2024, https://doi.org/10.5194/hess-28-4263-2024, 2024
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Future climate projections suggest that climate change will impact groundwater recharge, with its exact effects being uncertain due to incomplete understanding of rainfall, evapotranspiration, and recharge relations. We studied the effects of changes in the average, spread, and frequency of extreme events of rainfall and evapotranspiration on groundwater recharge. We found that increasing or decreasing the potential evaporation has the most dominant effect on groundwater recharge.
Dominik Paprotny, Belinda Rhein, Michalis I. Vousdoukas, Paweł Terefenko, Francesco Dottori, Simon Treu, Jakub Śledziowski, Luc Feyen, and Heidi Kreibich
Hydrol. Earth Syst. Sci., 28, 3983–4010, https://doi.org/10.5194/hess-28-3983-2024, https://doi.org/10.5194/hess-28-3983-2024, 2024
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Long-term trends in flood losses are regulated by multiple factors, including climate variation, population and economic growth, land-use transitions, reservoir construction, and flood risk reduction measures. Here, we reconstruct the factual circumstances in which almost 15 000 potential riverine, coastal and compound floods in Europe occurred between 1950 and 2020. About 10 % of those events are reported to have caused significant socioeconomic impacts.
Solomon H. Gebrechorkos, Julian Leyland, Simon J. Dadson, Sagy Cohen, Louise Slater, Michel Wortmann, Philip J. Ashworth, Georgina L. Bennett, Richard Boothroyd, Hannah Cloke, Pauline Delorme, Helen Griffith, Richard Hardy, Laurence Hawker, Stuart McLelland, Jeffrey Neal, Andrew Nicholas, Andrew J. Tatem, Ellie Vahidi, Yinxue Liu, Justin Sheffield, Daniel R. Parsons, and Stephen E. Darby
Hydrol. Earth Syst. Sci., 28, 3099–3118, https://doi.org/10.5194/hess-28-3099-2024, https://doi.org/10.5194/hess-28-3099-2024, 2024
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This study evaluated six high-resolution global precipitation datasets for hydrological modelling. MSWEP and ERA5 showed better performance, but spatial variability was high. The findings highlight the importance of careful dataset selection for river discharge modelling due to the lack of a universally superior dataset. Further improvements in global precipitation data products are needed.
Fransje van Oorschot, Ruud J. van der Ent, Andrea Alessandri, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 28, 2313–2328, https://doi.org/10.5194/hess-28-2313-2024, https://doi.org/10.5194/hess-28-2313-2024, 2024
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Vegetation plays a crucial role in regulating the water cycle by transporting water from the subsurface to the atmosphere via roots; this transport depends on the extent of the root system. In this study, we quantified the effect of irrigation on roots at a global scale. Our results emphasize the importance of accounting for irrigation in estimating the vegetation root extent, which is essential to adequately represent the water cycle in hydrological and climate models.
Omar V. Müller, Patrick C. McGuire, Pier Luigi Vidale, and Ed Hawkins
Hydrol. Earth Syst. Sci., 28, 2179–2201, https://doi.org/10.5194/hess-28-2179-2024, https://doi.org/10.5194/hess-28-2179-2024, 2024
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This work evaluates how rivers are projected to change in the near future compared to the recent past in the context of a warming world. We show that important rivers of the world will notably change their flows, mainly during peaks, exceeding the variations that rivers used to exhibit. Such large changes may produce more frequent floods, alter hydropower generation, and potentially affect the ocean's circulation.
Mugni Hadi Hariadi, Gerard van der Schrier, Gert-Jan Steeneveld, Samuel J. Sutanto, Edwin Sutanudjaja, Dian Nur Ratri, Ardhasena Sopaheluwakan, and Albert Klein Tank
Hydrol. Earth Syst. Sci., 28, 1935–1956, https://doi.org/10.5194/hess-28-1935-2024, https://doi.org/10.5194/hess-28-1935-2024, 2024
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We utilize the high-resolution CMIP6 for extreme rainfall and streamflow projection over Southeast Asia. This region will experience an increase in both dry and wet extremes in the near future. We found a more extreme low flow and high flow, along with an increasing probability of low-flow and high-flow events. We reveal that the changes in low-flow events and their probabilities are not only influenced by extremely dry climates but also by the catchment characteristics.
Ayenew D. Ayalew, Paul D. Wagner, Dejene Sahlu, and Nicola Fohrer
Hydrol. Earth Syst. Sci., 28, 1853–1872, https://doi.org/10.5194/hess-28-1853-2024, https://doi.org/10.5194/hess-28-1853-2024, 2024
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The study presents a pioneering comprehensive integrated approach to unravel hydrological complexities in data-scarce regions. By integrating diverse data sources and advanced analytics, we offer a holistic understanding of water systems, unveiling hidden patterns and driving factors. This innovative method holds immense promise for informed decision-making and sustainable water resource management, addressing a critical need in hydrological science.
Juliette Godet, Eric Gaume, Pierre Javelle, Pierre Nicolle, and Olivier Payrastre
Hydrol. Earth Syst. Sci., 28, 1403–1413, https://doi.org/10.5194/hess-28-1403-2024, https://doi.org/10.5194/hess-28-1403-2024, 2024
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This work was performed in order to precisely address a point that is often neglected by hydrologists: the allocation of points located on a river network to grid cells, which is often a mandatory step for hydrological modelling.
Jim Yoon, Nathalie Voisin, Christian Klassert, Travis Thurber, and Wenwei Xu
Hydrol. Earth Syst. Sci., 28, 899–916, https://doi.org/10.5194/hess-28-899-2024, https://doi.org/10.5194/hess-28-899-2024, 2024
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Global and regional models used to evaluate water shortages typically neglect the possibility that irrigated crop areas may change in response to future hydrological conditions, such as the fallowing of crops in response to drought. Here, we enhance a model used for water shortage analysis with farmer agents that dynamically adapt their irrigated crop areas based on simulated hydrological conditions. Results indicate that such cropping adaptation can strongly alter simulated water shortages.
Vivek K. Arora, Aranildo Lima, and Rajesh Shrestha
EGUsphere, https://doi.org/10.5194/egusphere-2024-182, https://doi.org/10.5194/egusphere-2024-182, 2024
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This study is likely the first Canada-wide assessment of climate change impact on the hydro-climatology of its major river basins. It finds that the precipitation, runoff, and temperature are all expected to increase over Canada in the future. The northerly Mackenzie and Yukon Rivers are relatively less affected by climate change compared to the southerly Fraser and Columbia Rivers which are located in the milder Pacific north-western region.
Celray James Chawanda, Albert Nkwasa, Wim Thiery, and Ann van Griensven
Hydrol. Earth Syst. Sci., 28, 117–138, https://doi.org/10.5194/hess-28-117-2024, https://doi.org/10.5194/hess-28-117-2024, 2024
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Africa's water resources are being negatively impacted by climate change and land-use change. The SWAT+ hydrological model was used to simulate the hydrological cycle in Africa, and results show likely decreases in river flows in the Zambezi and Congo rivers and highest flows in the Niger River basins due to climate change. Land cover change had the biggest impact in the Congo River basin, emphasizing the importance of including land-use change in studies.
Tom Kimpson, Margarita Choulga, Matthew Chantry, Gianpaolo Balsamo, Souhail Boussetta, Peter Dueben, and Tim Palmer
Hydrol. Earth Syst. Sci., 27, 4661–4685, https://doi.org/10.5194/hess-27-4661-2023, https://doi.org/10.5194/hess-27-4661-2023, 2023
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Lakes play an important role when we try to explain and predict the weather. More accurate and up-to-date description of lakes all around the world for numerical models is a continuous task. However, it is difficult to assess the impact of updated lake description within a weather prediction system. In this work, we develop a method to quickly and automatically define how, where, and when updated lake description affects weather prediction.
Haiyang Shi, Geping Luo, Olaf Hellwich, Xiufeng He, Alishir Kurban, Philippe De Maeyer, and Tim Van de Voorde
Hydrol. Earth Syst. Sci., 27, 4551–4562, https://doi.org/10.5194/hess-27-4551-2023, https://doi.org/10.5194/hess-27-4551-2023, 2023
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Using evidence from meteorological stations, this study assessed the climatic, hydrological, and ecological aridity changes in global drylands and their associated mechanisms. A decoupling between atmospheric, hydrological, and vegetation aridity was found. This highlights the added value of using station-scale data to assess dryland change as a complement to results based on coarse-resolution reanalysis data and land surface models.
Sophie Wagner, Fabian Stenzel, Tobias Krüger, and Jana de Wiljes
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-273, https://doi.org/10.5194/hess-2023-273, 2023
Revised manuscript accepted for HESS
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Statistical models that explain global irrigation rely on location-referenced data. Traditionally, a system based on longitude and latitude lines is chosen. However, this introduces bias to the analysis due to the Earth’s curvature. We propose using a system based on hexagonal grid cells that allows for distortion-free representation of the data. We show that this increases the model’s accuracy by 29 % and identify biophysical and socioeconomic drivers of historical global irrigation expansion.
En Ning Lai, Lan Wang-Erlandsson, Vili Virkki, Miina Porkka, and Ruud J. van der Ent
Hydrol. Earth Syst. Sci., 27, 3999–4018, https://doi.org/10.5194/hess-27-3999-2023, https://doi.org/10.5194/hess-27-3999-2023, 2023
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This research scrutinized predicted changes in root zone soil moisture dynamics across different climate scenarios and different climate regions globally between 2021 and 2100. The Mediterranean and most of South America stood out as regions that will likely experience permanently drier conditions, with greater severity observed in the no-climate-policy scenarios. These findings underscore the impact that possible future climates can have on green water resources.
Julia Pfeffer, Anny Cazenave, Alejandro Blazquez, Bertrand Decharme, Simon Munier, and Anne Barnoud
Hydrol. Earth Syst. Sci., 27, 3743–3768, https://doi.org/10.5194/hess-27-3743-2023, https://doi.org/10.5194/hess-27-3743-2023, 2023
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The GRACE (Gravity Recovery And Climate Experiment) satellite mission enabled the quantification of water mass redistributions from 2002 to 2017. The analysis of GRACE satellite data shows here that slow changes in terrestrial water storage occurring over a few years to a decade are severely underestimated by global hydrological models. Several sources of errors may explain such biases, likely including the inaccurate representation of groundwater storage changes.
Thedini Asali Peiris and Petra Döll
Hydrol. Earth Syst. Sci., 27, 3663–3686, https://doi.org/10.5194/hess-27-3663-2023, https://doi.org/10.5194/hess-27-3663-2023, 2023
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Hydrological models often overlook vegetation's response to CO2 and climate, impairing their ability to forecast impacts on evapotranspiration and water resources. To address this, we suggest involving two model variants: (1) the standard method and (2) a modified approach (proposed here) based on the Priestley–Taylor equation (PT-MA). While not universally applicable, a dual approach helps consider uncertainties related to vegetation responses to climate change, enhancing model representation.
Samah Larabi, Juliane Mai, Markus Schnorbus, Bryan A. Tolson, and Francis Zwiers
Hydrol. Earth Syst. Sci., 27, 3241–3263, https://doi.org/10.5194/hess-27-3241-2023, https://doi.org/10.5194/hess-27-3241-2023, 2023
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The computational cost of sensitivity analysis (SA) becomes prohibitive for large hydrologic modeling domains. Here, using a large-scale Variable Infiltration Capacity (VIC) deployment, we show that watershed classification helps identify the spatial pattern of parameter sensitivity within the domain at a reduced cost. Findings reveal the opportunity to leverage climate and land cover attributes to reduce the cost of SA and facilitate more rapid deployment of large-scale land surface models.
Tanja Denager, Torben O. Sonnenborg, Majken C. Looms, Heye Bogena, and Karsten H. Jensen
Hydrol. Earth Syst. Sci., 27, 2827–2845, https://doi.org/10.5194/hess-27-2827-2023, https://doi.org/10.5194/hess-27-2827-2023, 2023
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This study contributes to improvements in the model characterization of water and energy fluxes. The results show that multi-objective autocalibration in combination with mathematical regularization is a powerful tool to improve land surface models. Using the direct measurement of turbulent fluxes as the target variable, parameter optimization matches simulations and observations of latent heat, whereas sensible heat is clearly biased.
Yuki Kimura, Yukiko Hirabayashi, Yuki Kita, Xudong Zhou, and Dai Yamazaki
Hydrol. Earth Syst. Sci., 27, 1627–1644, https://doi.org/10.5194/hess-27-1627-2023, https://doi.org/10.5194/hess-27-1627-2023, 2023
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Since both the frequency and magnitude of flood will increase by climate change, information on spatial distributions of potential inundation depths (i.e., flood-hazard map) is required. We developed a method for constructing realistic future flood-hazard maps which addresses issues due to biases in climate models. A larger population is estimated to face risk in the future flood-hazard map, suggesting that only focusing on flood-frequency change could cause underestimation of future risk.
Hoontaek Lee, Martin Jung, Nuno Carvalhais, Tina Trautmann, Basil Kraft, Markus Reichstein, Matthias Forkel, and Sujan Koirala
Hydrol. Earth Syst. Sci., 27, 1531–1563, https://doi.org/10.5194/hess-27-1531-2023, https://doi.org/10.5194/hess-27-1531-2023, 2023
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We spatially attribute the variance in global terrestrial water storage (TWS) interannual variability (IAV) and its modeling error with two data-driven hydrological models. We find error hotspot regions that show a disproportionately large significance in the global mismatch and the association of the error regions with a smaller-scale lateral convergence of water. Our findings imply that TWS IAV modeling can be efficiently improved by focusing on model representations for the error hotspots.
Jannis M. Hoch, Edwin H. Sutanudjaja, Niko Wanders, Rens L. P. H. van Beek, and Marc F. P. Bierkens
Hydrol. Earth Syst. Sci., 27, 1383–1401, https://doi.org/10.5194/hess-27-1383-2023, https://doi.org/10.5194/hess-27-1383-2023, 2023
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To facilitate locally relevant simulations over large areas, global hydrological models (GHMs) have moved towards ever finer spatial resolutions. After a decade-long quest for hyper-resolution (i.e. equal to or smaller than 1 km), the presented work is a first application of a GHM at 1 km resolution over Europe. This not only shows that hyper-resolution can be achieved but also allows for a thorough evaluation of model results at unprecedented detail and the formulation of future research.
Chinchu Mohan, Tom Gleeson, James S. Famiglietti, Vili Virkki, Matti Kummu, Miina Porkka, Lan Wang-Erlandsson, Xander Huggins, Dieter Gerten, and Sonja C. Jähnig
Hydrol. Earth Syst. Sci., 26, 6247–6262, https://doi.org/10.5194/hess-26-6247-2022, https://doi.org/10.5194/hess-26-6247-2022, 2022
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The relationship between environmental flow violations and freshwater biodiversity at a large scale is not well explored. This study intended to carry out an exploratory evaluation of this relationship at a large scale. While our results suggest that streamflow and EF may not be the only determinants of freshwater biodiversity at large scales, they do not preclude the existence of relationships at smaller scales or with more holistic EF methods or with other biodiversity data or metrics.
Zhaofei Liu
Hydrol. Earth Syst. Sci., 26, 6207–6226, https://doi.org/10.5194/hess-26-6207-2022, https://doi.org/10.5194/hess-26-6207-2022, 2022
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Ground heat flux (G) accounts for a significant fraction of the surface energy balance (SEB), but there is insufficient research on these models compared with other flux. The accuracy of G simulation methods in the SEB-based remote sensing evapotranspiration models is evaluated. Results show that the accuracy of each method varied significantly at different sites and at half-hour intervals. Further improvement of G simulations is recommended for the remote sensing evapotranspiration modelers.
Pau Wiersma, Jerom Aerts, Harry Zekollari, Markus Hrachowitz, Niels Drost, Matthias Huss, Edwin H. Sutanudjaja, and Rolf Hut
Hydrol. Earth Syst. Sci., 26, 5971–5986, https://doi.org/10.5194/hess-26-5971-2022, https://doi.org/10.5194/hess-26-5971-2022, 2022
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We test whether coupling a global glacier model (GloGEM) with a global hydrological model (PCR-GLOBWB 2) leads to a more realistic glacier representation and to improved basin runoff simulations across 25 large-scale basins. The coupling does lead to improved glacier representation, mainly by accounting for glacier flow and net glacier mass loss, and to improved basin runoff simulations, mostly in strongly glacier-influenced basins, which is where the coupling has the most impact.
Feng Zhong, Shanhu Jiang, Albert I. J. M. van Dijk, Liliang Ren, Jaap Schellekens, and Diego G. Miralles
Hydrol. Earth Syst. Sci., 26, 5647–5667, https://doi.org/10.5194/hess-26-5647-2022, https://doi.org/10.5194/hess-26-5647-2022, 2022
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A synthesis of rainfall interception data from past field campaigns is performed, including 166 forests and 17 agricultural plots distributed worldwide. These site data are used to constrain and validate an interception model that considers sub-grid heterogeneity and vegetation dynamics. A global, 40-year (1980–2019) interception dataset is generated at a daily temporal and 0.1° spatial resolution. This dataset will serve as a benchmark for future investigations of the global hydrological cycle.
Dongyu Feng, Zeli Tan, Darren Engwirda, Chang Liao, Donghui Xu, Gautam Bisht, Tian Zhou, Hong-Yi Li, and L. Ruby Leung
Hydrol. Earth Syst. Sci., 26, 5473–5491, https://doi.org/10.5194/hess-26-5473-2022, https://doi.org/10.5194/hess-26-5473-2022, 2022
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Sea level rise, storm surge and river discharge can cause coastal backwater effects in downstream sections of rivers, creating critical flood risks. This study simulates the backwater effects using a large-scale river model on a coastal-refined computational mesh. By decomposing the backwater drivers, we revealed their relative importance and long-term variations. Our analysis highlights the increasing strength of backwater effects due to sea level rise and more frequent storm surge.
Kieran M. R. Hunt, Gwyneth R. Matthews, Florian Pappenberger, and Christel Prudhomme
Hydrol. Earth Syst. Sci., 26, 5449–5472, https://doi.org/10.5194/hess-26-5449-2022, https://doi.org/10.5194/hess-26-5449-2022, 2022
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In this study, we use three models to forecast river streamflow operationally for 13 months (September 2020 to October 2021) at 10 gauges in the western US. The first model is a state-of-the-art physics-based streamflow model (GloFAS). The second applies a bias-correction technique to GloFAS. The third is a type of neural network (an LSTM). We find that all three are capable of producing skilful forecasts but that the LSTM performs the best, with skilful 5 d forecasts at nine stations.
Tongtiegang Zhao, Haoling Chen, Yu Tian, Denghua Yan, Weixin Xu, Huayang Cai, Jiabiao Wang, and Xiaohong Chen
Hydrol. Earth Syst. Sci., 26, 4233–4249, https://doi.org/10.5194/hess-26-4233-2022, https://doi.org/10.5194/hess-26-4233-2022, 2022
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This paper develops a novel set operations of coefficients of determination (SOCD) method to explicitly quantify the overlapping and differing information for GCM forecasts and ENSO teleconnection. Specifically, the intersection operation of the coefficient of determination derives the overlapping information for GCM forecasts and the Niño3.4 index, and then the difference operation determines the differing information in GCM forecasts (Niño3.4 index) from the Niño3.4 index (GCM forecasts).
Vili Virkki, Elina Alanärä, Miina Porkka, Lauri Ahopelto, Tom Gleeson, Chinchu Mohan, Lan Wang-Erlandsson, Martina Flörke, Dieter Gerten, Simon N. Gosling, Naota Hanasaki, Hannes Müller Schmied, Niko Wanders, and Matti Kummu
Hydrol. Earth Syst. Sci., 26, 3315–3336, https://doi.org/10.5194/hess-26-3315-2022, https://doi.org/10.5194/hess-26-3315-2022, 2022
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Direct and indirect human actions have altered streamflow across the world since pre-industrial times. Here, we apply a method of environmental flow envelopes (EFEs) that develops the existing global environmental flow assessments by methodological advances and better consideration of uncertainty. By assessing the violations of the EFE, we comprehensively quantify the frequency, severity, and trends of flow alteration during the past decades, illustrating anthropogenic effects on streamflow.
Toby R. Marthews, Simon J. Dadson, Douglas B. Clark, Eleanor M. Blyth, Garry D. Hayman, Dai Yamazaki, Olivia R. E. Becher, Alberto Martínez-de la Torre, Catherine Prigent, and Carlos Jiménez
Hydrol. Earth Syst. Sci., 26, 3151–3175, https://doi.org/10.5194/hess-26-3151-2022, https://doi.org/10.5194/hess-26-3151-2022, 2022
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Reliable data on global inundated areas remain uncertain. By matching a leading global data product on inundation extents (GIEMS) against predictions from a global hydrodynamic model (CaMa-Flood), we found small but consistent and non-random biases in well-known tropical wetlands (Sudd, Pantanal, Amazon and Congo). These result from known limitations in the data and the models used, which shows us how to improve our ability to make critical predictions of inundation events in the future.
Jawairia A. Ahmad, Barton A. Forman, and Sujay V. Kumar
Hydrol. Earth Syst. Sci., 26, 2221–2243, https://doi.org/10.5194/hess-26-2221-2022, https://doi.org/10.5194/hess-26-2221-2022, 2022
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Assimilation of remotely sensed data into a land surface model to improve the spatiotemporal estimation of soil moisture across South Asia exhibits potential. Satellite retrieval assimilation corrects biases that are generated due to an unmodeled hydrologic phenomenon, i.e., irrigation. The improvements in fine-scale, modeled soil moisture estimates by assimilating coarse-scale retrievals indicates the utility of the described methodology for data-scarce regions.
Naota Hanasaki, Hikari Matsuda, Masashi Fujiwara, Yukiko Hirabayashi, Shinta Seto, Shinjiro Kanae, and Taikan Oki
Hydrol. Earth Syst. Sci., 26, 1953–1975, https://doi.org/10.5194/hess-26-1953-2022, https://doi.org/10.5194/hess-26-1953-2022, 2022
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Global hydrological models (GHMs) are usually applied with a spatial resolution of about 50 km, but this time we applied the H08 model, one of the most advanced GHMs, with a high resolution of 2 km to Kyushu island, Japan. Since the model was not accurate as it was, we incorporated local information and improved the model, which revealed detailed water stress in subregions that were not visible with the previous resolution.
Basil Kraft, Martin Jung, Marco Körner, Sujan Koirala, and Markus Reichstein
Hydrol. Earth Syst. Sci., 26, 1579–1614, https://doi.org/10.5194/hess-26-1579-2022, https://doi.org/10.5194/hess-26-1579-2022, 2022
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We present a physics-aware machine learning model of the global hydrological cycle. As the model uses neural networks under the hood, the simulations of the water cycle are learned from data, and yet they are informed and constrained by physical knowledge. The simulated patterns lie within the range of existing hydrological models and are plausible. The hybrid modeling approach has the potential to tackle key environmental questions from a novel perspective.
Tina Trautmann, Sujan Koirala, Nuno Carvalhais, Andreas Güntner, and Martin Jung
Hydrol. Earth Syst. Sci., 26, 1089–1109, https://doi.org/10.5194/hess-26-1089-2022, https://doi.org/10.5194/hess-26-1089-2022, 2022
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We assess the effect of how vegetation is defined in a global hydrological model on the composition of total water storage (TWS). We compare two experiments, one with globally uniform and one with vegetation parameters that vary in space and time. While both experiments are constrained against observational data, we found a drastic change in the partitioning of TWS, highlighting the important role of the interaction between groundwater–soil moisture–vegetation in understanding TWS variations.
Marc F. P. Bierkens, Edwin H. Sutanudjaja, and Niko Wanders
Hydrol. Earth Syst. Sci., 25, 5859–5878, https://doi.org/10.5194/hess-25-5859-2021, https://doi.org/10.5194/hess-25-5859-2021, 2021
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We introduce a simple analytical framework that allows us to estimate to what extent large-scale groundwater withdrawal affects groundwater levels and streamflow. It also calculates which part of the groundwater withdrawal comes out of groundwater storage and which part from a reduction in streamflow. Global depletion rates obtained with the framework are compared with estimates from satellites, from global- and continental-scale groundwater models, and from in situ datasets.
Dirk Eilander, Willem van Verseveld, Dai Yamazaki, Albrecht Weerts, Hessel C. Winsemius, and Philip J. Ward
Hydrol. Earth Syst. Sci., 25, 5287–5313, https://doi.org/10.5194/hess-25-5287-2021, https://doi.org/10.5194/hess-25-5287-2021, 2021
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Digital elevation models and derived flow directions are crucial to distributed hydrological modeling. As the spatial resolution of models is typically coarser than these data, we need methods to upscale flow direction data while preserving the river structure. We propose the Iterative Hydrography Upscaling (IHU) method and show it outperforms other often-applied methods. We publish the multi-resolution MERIT Hydro IHU hydrography dataset and the algorithm as part of the pyflwdir Python package.
Jérôme Kopp, Pauline Rivoire, S. Mubashshir Ali, Yannick Barton, and Olivia Martius
Hydrol. Earth Syst. Sci., 25, 5153–5174, https://doi.org/10.5194/hess-25-5153-2021, https://doi.org/10.5194/hess-25-5153-2021, 2021
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Episodes of extreme rainfall events happening in close temporal succession can lead to floods with dramatic impacts. We developed a novel method to individually identify those episodes and deduced the regions where they occur frequently and where their impact is substantial. Those regions are the east and northeast of the Asian continent, central Canada and the south of California, Afghanistan, Pakistan, the southwest of the Iberian Peninsula, and north of Argentina and south of Bolivia.
Alyssa J. DeVincentis, Hervé Guillon, Romina Díaz Gómez, Noelle K. Patterson, Francine van den Brandeler, Arthur Koehl, J. Pablo Ortiz-Partida, Laura E. Garza-Díaz, Jennifer Gamez-Rodríguez, Erfan Goharian, and Samuel Sandoval Solis
Hydrol. Earth Syst. Sci., 25, 4631–4650, https://doi.org/10.5194/hess-25-4631-2021, https://doi.org/10.5194/hess-25-4631-2021, 2021
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Latin America and the Caribbean face many water-related stresses which are expected to worsen with climate change. To assess the vulnerability, we reviewed over 20 000 multilingual research articles using machine learning and an understanding of the regional landscape. Results reveal that the region’s inherent vulnerability is compounded by research blind spots in niche topics (reservoirs and risk assessment) and subregions (Caribbean nations), as well as by its reliance on one country (Brazil).
Michiel Maertens, Gabriëlle J. M. De Lannoy, Sebastian Apers, Sujay V. Kumar, and Sarith P. P. Mahanama
Hydrol. Earth Syst. Sci., 25, 4099–4125, https://doi.org/10.5194/hess-25-4099-2021, https://doi.org/10.5194/hess-25-4099-2021, 2021
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In this study, we simulated the water balance over the South American Dry Chaco and assessed the impact of land cover changes thereon using three different land surface models. Our simulations indicated that different models result in a different partitioning of the total water budget, but all showed an increase in soil moisture and percolation over the deforested areas. We also found that, relative to independent data, no specific land surface model is significantly better than another.
Louise J. Slater, Bailey Anderson, Marcus Buechel, Simon Dadson, Shasha Han, Shaun Harrigan, Timo Kelder, Katie Kowal, Thomas Lees, Tom Matthews, Conor Murphy, and Robert L. Wilby
Hydrol. Earth Syst. Sci., 25, 3897–3935, https://doi.org/10.5194/hess-25-3897-2021, https://doi.org/10.5194/hess-25-3897-2021, 2021
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Weather and water extremes have devastating effects each year. One of the principal challenges for society is understanding how extremes are likely to evolve under the influence of changes in climate, land cover, and other human impacts. This paper provides a review of the methods and challenges associated with the detection, attribution, management, and projection of nonstationary weather and water extremes.
Sanaa Hobeichi, Gab Abramowitz, and Jason P. Evans
Hydrol. Earth Syst. Sci., 25, 3855–3874, https://doi.org/10.5194/hess-25-3855-2021, https://doi.org/10.5194/hess-25-3855-2021, 2021
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Evapotranspiration (ET) links the water, energy and carbon cycle on land. Reliable ET estimates are key to understand droughts and flooding. We develop a new ET dataset, DOLCE V3, by merging multiple global ET datasets, and we show that it matches ET observations better and hence is more reliable than its parent datasets. Next, we use DOLCE V3 to examine recent changes in ET and find that ET has increased over most of the land, decreased in some regions, and has not changed in some other regions
Frederik Kratzert, Daniel Klotz, Sepp Hochreiter, and Grey S. Nearing
Hydrol. Earth Syst. Sci., 25, 2685–2703, https://doi.org/10.5194/hess-25-2685-2021, https://doi.org/10.5194/hess-25-2685-2021, 2021
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We investigate how deep learning models use different meteorological data sets in the task of (regional) rainfall–runoff modeling. We show that performance can be significantly improved when using different data products as input and further show how the model learns to combine those meteorological input differently across time and space. The results are carefully benchmarked against classical approaches, showing the supremacy of the presented approach.
Fabian Stenzel, Dieter Gerten, and Naota Hanasaki
Hydrol. Earth Syst. Sci., 25, 1711–1726, https://doi.org/10.5194/hess-25-1711-2021, https://doi.org/10.5194/hess-25-1711-2021, 2021
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Ideas to mitigate climate change include the large-scale cultivation of fast-growing plants to capture atmospheric CO2 in biomass. To maximize the productivity of these plants, they will likely be irrigated. However, there is strong disagreement in the literature on how much irrigation water is needed globally, potentially inducing water stress. We provide a comprehensive overview of global irrigation demand studies for biomass production and discuss the diverse underlying study assumptions.
Charles Rougé, Patrick M. Reed, Danielle S. Grogan, Shan Zuidema, Alexander Prusevich, Stanley Glidden, Jonathan R. Lamontagne, and Richard B. Lammers
Hydrol. Earth Syst. Sci., 25, 1365–1388, https://doi.org/10.5194/hess-25-1365-2021, https://doi.org/10.5194/hess-25-1365-2021, 2021
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Amid growing interest in using large-scale hydrological models for flood and drought monitoring and forecasting, it is important to evaluate common assumptions these models make. We investigated the representation of reservoirs as separate (non-coordinated) infrastructure. We found that not appropriately representing coordination and control processes can lead a hydrological model to simulate flood and drought events that would not occur given the coordinated emergency response in the basin.
Robert Reinecke, Hannes Müller Schmied, Tim Trautmann, Lauren Seaby Andersen, Peter Burek, Martina Flörke, Simon N. Gosling, Manolis Grillakis, Naota Hanasaki, Aristeidis Koutroulis, Yadu Pokhrel, Wim Thiery, Yoshihide Wada, Satoh Yusuke, and Petra Döll
Hydrol. Earth Syst. Sci., 25, 787–810, https://doi.org/10.5194/hess-25-787-2021, https://doi.org/10.5194/hess-25-787-2021, 2021
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Billions of people rely on groundwater as an accessible source of drinking water and for irrigation, especially in times of drought. Groundwater recharge is the primary process of regenerating groundwater resources. We find that groundwater recharge will increase in northern Europe by about 19 % and decrease by 10 % in the Amazon with 3 °C global warming. In the Mediterranean, a 2 °C warming has already lead to a reduction in recharge by 38 %. However, these model predictions are uncertain.
Laura E. Queen, Philip W. Mote, David E. Rupp, Oriana Chegwidden, and Bart Nijssen
Hydrol. Earth Syst. Sci., 25, 257–272, https://doi.org/10.5194/hess-25-257-2021, https://doi.org/10.5194/hess-25-257-2021, 2021
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Using a large ensemble of simulated flows throughout the northwestern USA, we compare daily flood statistics in the past (1950–1999) and future (2050–1999) periods and find that nearly all locations will experience an increase in flood magnitudes. The flood season expands significantly in many currently snow-dominant rivers, moving from only spring to both winter and spring. These results, properly extended, may help inform flood risk management and negotiations of the Columbia River Treaty.
Hylke E. Beck, Ming Pan, Diego G. Miralles, Rolf H. Reichle, Wouter A. Dorigo, Sebastian Hahn, Justin Sheffield, Lanka Karthikeyan, Gianpaolo Balsamo, Robert M. Parinussa, Albert I. J. M. van Dijk, Jinyang Du, John S. Kimball, Noemi Vergopolan, and Eric F. Wood
Hydrol. Earth Syst. Sci., 25, 17–40, https://doi.org/10.5194/hess-25-17-2021, https://doi.org/10.5194/hess-25-17-2021, 2021
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We evaluated the largest and most diverse set of surface soil moisture products ever evaluated in a single study. We found pronounced differences in performance among individual products and product groups. Our results provide guidance to choose the most suitable product for a particular application.
Yared Abayneh Abebe, Amineh Ghorbani, Igor Nikolic, Natasa Manojlovic, Angelika Gruhn, and Zoran Vojinovic
Hydrol. Earth Syst. Sci., 24, 5329–5354, https://doi.org/10.5194/hess-24-5329-2020, https://doi.org/10.5194/hess-24-5329-2020, 2020
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The paper presents a coupled agent-based and flood model for Hamburg, Germany. It explores residents’ adaptation behaviour in relation to flood event scenarios, economic incentives and shared and individual strategies. We found that unique trajectories of adaptation behaviour emerge from different flood event series. Providing subsidies improves adaptation behaviour in the long run. The coupled modelling technique allows the role of individual measures in flood risk management to be examined.
Denise Cáceres, Ben Marzeion, Jan Hendrik Malles, Benjamin Daniel Gutknecht, Hannes Müller Schmied, and Petra Döll
Hydrol. Earth Syst. Sci., 24, 4831–4851, https://doi.org/10.5194/hess-24-4831-2020, https://doi.org/10.5194/hess-24-4831-2020, 2020
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We analysed how and to which extent changes in water storage on continents had an effect on global ocean mass over the period 1948–2016. Continents lost water to oceans at an accelerated rate, inducing sea level rise. Shrinking glaciers explain 81 % of the long-term continental water mass loss, while declining groundwater levels, mainly due to sustained groundwater pumping for irrigation, is the second major driver. This long-term decline was partly offset by the impoundment of water in dams.
Cited articles
Alho, C. J. R., Reis, R. E., and Aquino, P. P. U.: Amazonian freshwater
habitats experiencing environmental and socioeconomic threats affecting
subsistence fisheries, Ambio, 44, 412–425,
https://doi.org/10.1007/s13280-014-0610-z, 2015.
Aragão, L. E. O. C., Malhi, Y., Roman-Cuesta, R. M., Saatchi, S.,
Anderson, L. O., and Shimabukuro, Y. E.: Spatial patterns and fire response
of recent Amazonian droughts, Geophys. Res. Lett., 34, L07701,
https://doi.org/10.1029/2006GL028946, 2007.
Arantes, A. E., Ferreira, L. G., and Coe, M. T.: The seasonal carbon and
water balances of the Cerrado environment of Brazil: Past, present, and
future influences of land cover and land use, ISPRS J. Photogramm. Remote
Sens., 117, 66–78, https://doi.org/10.1016/j.isprsjprs.2016.02.008, 2016.
Asner, G. P., Scurlock, J. M. O., and A. Hicke, J.: Global synthesis of leaf
area index observations: implications for ecological and remote sensing
studies, Glob. Ecol. Biogeogr., 12, 191–205,
https://doi.org/10.1046/j.1466-822X.2003.00026.x, 2003.
Barletta, M., Jaureguizar, A. J., Baigun, C., Fontoura, N. F., Agostinho, A.
A., Almeida-Val, V. M. F., Val, A. L., Torres, R. A., Jimenes-Segura, L. F.,
Giarrizzo, T., Fabré, N. N., Batista, V. S., Lasso, C., Taphorn, D. C.,
Costa, M. F., Chaves, P. T., Vieira, J. P., and Corrêa, M. F. M.: Fish
and aquatic habitat conservation in South America: a continental overview
with emphasis on neotropical systems, J. Fish Biol., 76, 2118–2176,
https://doi.org/10.1111/j.1095-8649.2010.02684.x, 2010.
Bates, P. D., Horritt, M. S., and Fewtrell, T. J.: A simple inertial
formulation of the shallow water equations for efficient two-dimensional
flood inundation modelling, J. Hydrol., 387, 33–45,
https://doi.org/10.1016/j.jhydrol.2010.03.027, 2010.
Beck, H. E., van Dijk, A. I. J. M., de Roo, A., Dutra, E., Fink, G., Orth, R., and Schellekens, J.: Global evaluation of runoff from 10 state-of-the-art hydrological models, Hydrol. Earth Syst. Sci., 21, 2881–2903, https://doi.org/10.5194/hess-21-2881-2017, 2017.
Betts, A. K., Ball, J. H., Viterbo, P., Dai, A., and Marengo, J.:
Hydrometeorology of the Amazon in ERA-40, J. Hydrometeorol., 6, 764–774,
https://doi.org/10.1175/JHM441.1, 2005.
Bonnet, M. P., Barroux, G., Martinez, J. M., Seyler, F., Moreira-Turcq, P.,
Cochonneau, G., Melack, J. M., Boaventura, G., Maurice-Bourgoin, L.,
León, J. G., Roux, E., Calmant, S., Kosuth, P., Guyot, J. L., and Seyler,
P.: Floodplain hydrology in an Amazon floodplain lake (Lago Grande de
Curuaí), J. Hydrol., 349, 18–30,
https://doi.org/10.1016/j.jhydrol.2007.10.055, 2008.
Brando, P. M., Balch, J. K., Nepstad, D. C., Morton, D. C., Putz, F. E.,
Coe, M. T., Silverio, D., Macedo, M. N., Davidson, E. A., Nobrega, C. C.,
Alencar, A., and Soares-Filho, B. S.: Abrupt increases in Amazonian tree
mortality due to drought-fire interactions, P. Natl. Acad. Sci. USA, 111,
6347–6352, https://doi.org/10.1073/pnas.1305499111, 2014.
Brondizio, E. S. and Moran, E. F.: Human dimensions of climate change: The
vulnerability of small farmers in the Amazon, Philos. T. Roy. Soc. A, 363, 1803–1809, https://doi.org/10.1098/rstb.2007.0025, 2008.
Castello, L., Mcgrath, D. G., Hess, L. L., Coe, M. T., Lefebvre, P. A.,
Petry, P., Macedo, M. N., Renó, V. F., and Arantes, C. C.: The
vulnerability of Amazon freshwater ecosystems, Conserv. Lett., 6,
217–229, https://doi.org/10.1111/conl.12008, 2013.
Castello, L., Isaac, V. J., and Thapa, R.: Flood pulse effects on multispecies fishery yields in the Lower Amazon, R. Soc. Open Sci., 2, 150299, doi:10.1098/rsos.150299, 2015.
Chaudhari, S., Felfelani, F., Shin, S., and Pokhrel, Y.: Climate and
Anthropogenic Contributions to the Desiccation of the Second Largest Saline
Lake in the Twentieth Century, J. Hydrol., 560, 342–353,
https://doi.org/10.1016/j.jhydrol.2018.03.034, 2018.
Chen, G., Powers, R. P., de Carvalho, L. M. T., and Mora, B.: Spatiotemporal
patterns of tropical deforestation and forest degradation in response to the
operation of the Tucuruí hydroelectric dam in the Amazon basin, Appl.
Geogr., 63, 1–8, https://doi.org/10.1016/j.apgeog.2015.06.001, 2015.
Chen, J. L., Wilson, C. R., Tapley, B. D., Yang, Z. L., and Niu, G. Y.: 2005
drought event in the Amazon River basin as measured by GRACE and estimated
by climate models, J. Geophys. Res.-Sol. Ea., 114, 1–9,
https://doi.org/10.1029/2008JB006056, 2009.
Chen, J. L., Wilson, C. R., and Tapley, B. D.: The 2009 exceptional Amazon
flood and interannual terrestrial water storage change observed by GRACE,
Water Resour. Res., 46, 1–10, https://doi.org/10.1029/2010WR009383, 2010.
Clark, E. A., Sheffield, J., van Vliet, M. T. H., Nijssen, B., and
Lettenmaier, D. P.: Continental Runoff into the Oceans (1950–2008), J.
Hydrometeorol., 16, 1502–1520, https://doi.org/10.1175/JHM-D-14-0183.1, 2015.
Coe, M. T., Costa, M. H., Botta, A., and Birkett, C.: Long-term simulations
of discharge and floods in the Amazon Basin, J. Geophys. Res.-Atmos.,
107, 1–17, https://doi.org/10.1029/2001JD000740, 2002.
Coe, M. T., Costa, M. H., and Howard, E. A.: Simulating the surface waters of
the Amazon River basin: impacts of new river geomorphic and flow
parameterizations, Hydrol. Process., 22, 2542–2553,
https://doi.org/10.1002/hyp.6850, 2008.
Coe, M. T., Costa, M. H., and Soares-Filho, B. S.: The influence of
historical and potential future deforestation on the stream flow of the
Amazon River – Land surface processes and atmospheric feedbacks, J. Hydrol.,
369, 165–174, https://doi.org/10.1016/j.jhydrol.2009.02.043, 2009.
Cook, B., Zeng, N., and Yoon, J. H.: Will Amazonia dry out?, Magnitude and
causes of change from IPCC climate model projections, Earth Interact.,
16, https://doi.org/10.1175/2011EI398.1, 2012.
Cook, K. H. and Vizy, E. K.: Effects of twenty-first-century climate change
on the Amazon rain forest, J. Climate, 21, 542–560,
https://doi.org/10.1175/2007JCLI1838.1, 2008.
Costa, M. H. and Foley, J. A.: Trends in the hydrologic cycle of the Amazon
Basin, J. Geophys. Res.-Atmos., 104, 14189–14198,
https://doi.org/10.1029/1998JD200126, 1999.
Costa, M. H., Botta, A., and Cardille, J. A.: Effects of large-scale changes
in land cover on the discharge of the Tocantins River, Southeastern
Amazonia, J. Hydrol., 283, 206–217,
https://doi.org/10.1016/S0022-1694(03)00267-1, 2003.
Cox, P. M., Betts, R. A., Collins, M., Harris, P. P., Huntingford, C., and
Jones, C. D.: Amazonian forest dieback under climate-carbon cycle
projections for the 21st century, Theor. Appl. Climatol., 78,
137–156, https://doi.org/10.1007/s00704-004-0049-4, 2004.
da Costa, C. L., Galbraith, D., Almeida, S., Tanaka Portela, B. T., da
Costa, M., de Athaydes Silva Junior, J., Braga, A. P., de Gonçalves, P.
H. L., de Oliveira, A. A., Fisher, R., Phillips, O., Metcalfe, D. B., Levy,
P., and Meir, P.: Effect of seven years of experimental drought on the
aboveground biomass storage of an eastern Amazonian rainforest, New Phytol.,
187, 579–591, https://doi.org/10.1111/j.1469-8137.2010.03309.x, 2010.
Davidson, E. A., de Araújo, A. C., Artaxo, P., Balch, J. K., Brown, I.
F., C. Bustamante, M. M., Coe, M. T., DeFries, R. S., Keller, M., Longo, M.,
Munger, J. W., Schroeder, W., Soares-Filho, B. S., Souza, C. M., and Wofsy,
S. C.: The Amazon basin in transition, Nature, 481, 321–328,
https://doi.org/10.1038/nature10717, 2012.
Dias, L. C. P., Macedo, M. N., Costa, M. H., Coe, M. T., and Neill, C.:
Effects of land cover change on evapotranspiration and streamflow of small
catchments in the Upper Xingu River Basin, Central Brazil, J. Hydrol. Reg.
Stud., 4, 108–122, https://doi.org/10.1016/j.ejrh.2015.05.010, 2015.
Dórea, J. G. and Barbosa, A. C.: Anthropogenic impact of mercury
accumulation in fish from the Rio Madeira and Rio Negro Rivers (Amazonia),
Biol. Trace Elem. Res., 115, 243–254, https://doi.org/10.1007/BF02685999, 2007.
Espinoza, J. C., Guyot, J. L., Ronchail, J., Cochonneau, G., Filizola, N.,
Fraizy, P., Labat, D., de Oliveira, E., Ordoñez, J. J., and Vauchel, P.:
Contrasting regional discharge evolutions in the Amazon basin (1974–2004),
J. Hydrol., 375, 297–311, https://doi.org/10.1016/j.jhydrol.2009.03.004, 2009.
Espinoza, J. C., Ronchail, J., Guyot, J. L., Junquas, C., Vauchel, P.,
Lavado, W., Drapeau, G., and Pombosa, R.: Climate variability and extreme
drought in the upper Solimões River (western Amazon Basin):
Understanding the exceptional 2010 drought, Geophys. Res. Lett., 38,
1–6, https://doi.org/10.1029/2011GL047862, 2011.
Espinoza, J. C., Chavez, S., Ronchail, J., Junquas, C., Takahashi, K., and
Lavado, W.: Rainfall hotspots over the southern tropical Andes: Spatial
distribution, rainfall intensity, and relations with large-scale atmospheric
circulation, Water Resour. Res., 51, 3459–3475,
https://doi.org/10.1002/2014WR016273, 2015.
Espinoza, J. C., Segura, H., Ronchail, J., Drapeau, G., and Gutierrez-Cori,
O.: Evolution of wet-day and dry-day frequency in the western Amazon basin:
Relationship with atmospheric circulation and impacts on vegetation, Water
Resour. Res., 52, 8546–8560, https://doi.org/10.1002/2016WR019305, 2016.
Espinoza Villar, J. C., Ronchail, J., Guyot, J. L., Cochonneau, G., Naziano,
F., Lavado, W., De Oliveira, E., Pombosa, R., and Vauchel, P.:
Spatio-temporal rainfall variability in the Amazon basin countries (Brazil,
Peru, Bolivia, Colombia, and Ecuador), Int. J. Climatol., 29,
1574–1594, https://doi.org/10.1002/joc.1791, 2009.
Fan, Y. and Miguez-Macho, G.: Potential groundwater contribution to Amazon evapotranspiration, Hydrol. Earth Syst. Sci., 14, 2039–2056, https://doi.org/10.5194/hess-14-2039-2010, 2010.
Fan, Y., Li, H., and Miguez-Macho, G.: Global Patterns of Groundwater Table
Depth, Science, 339, 940–943, https://doi.org/10.1126/science.1229881,
2013.
Fan, Y., Clark, M., Lawrence, D. M., Swenson, S., Band, L. E., Brantley, S.
L., Brooks, P. D., Dietrich, W. E., Flores, A., Grant, G., Kirchner, J. W.,
Mackay, D. S., McDonnell, J. J., Milly, P. C. D., Sullivan, P. L., Tague,
C., Ajami, H., Chaney, N., Hartmann, A., Hazenberg, P., McNamara, J.,
Pelletier, J., Perket, J., Rouholahnejad-Freund, E., Wagener, T., Zeng, X.,
Beighley, E., Buzan, J., Huang, M., Livneh, B., Mohanty, B. P., Nijssen, B.,
Safeeq, M., Shen, C., van Verseveld, W., Volk, J., and Yamazaki, D.:
Hillslope Hydrology in Global Change Research and Earth System Modeling,
Water Resour. Res., 55, 1737–1772, https://doi.org/10.1029/2018WR023903, 2019.
Felfelani, F., Wada, Y., Longuevergne, L., and Pokhrel, Y. N.: Natural and
human-induced terrestrial water storage change: A global analysis using
hydrological models and GRACE, J. Hydrol., 553, 105–118,
https://doi.org/10.1016/j.jhydrol.2017.07.048, 2017.
Fernandes, K., Fu, R., and Betts, A. K.: How well does the ERA40 surface
water budget compare to observations in the Amazon River basin?, J. Geophys.
Res.-Atmos., 113, 1–9, https://doi.org/10.1029/2007JD009220, 2008.
Fernandes, K., Baethgen, W., Bernardes, S., Defries, R., Dewitt, D. G.,
Goddard, L., Lavado, W., Lee, D. E., Padoch, C., Pinedo-Vasquez, M., and
Uriarte, M.: North Tropical Atlantic influence on western Amazon fire season
variability, Geophys. Res. Lett., 38, 1–5, https://doi.org/10.1029/2011GL047392,
2011.
Field, C. B., Behrenfeld, M. J., Randerson, J. T., and Falkowski, P.: Primary
Production of the Biosphere: Integrating Terrestrial and Oceanic Components,
Science, 281, 237–240, https://doi.org/10.1126/science.281.5374.237,
1998.
Filizola, N., Latrubesse, E. M., Fraizy, P., Souza, R., Guimarães, V.,
and Guyot, J. L.: Was the 2009 flood the most hazardous or the largest ever
recorded in the Amazon?, Geomorphology, 215, 99–105,
https://doi.org/10.1016/j.geomorph.2013.05.028, 2014.
Finer, M. and Jenkins, C. N.: Proliferation of hydroelectric dams in the
andean amazon and implications for andes-amazon connectivity, PLoS One,
7, 1–9, https://doi.org/10.1371/journal.pone.0035126, 2012.
Forsberg, B. R., Melack, J. M., Dunne, T., Barthem, R. B., Goulding, M., Paiva, R. C. D., Sorribas, M. V., Silva, U. L. and Weisser, S.: The potential impact of new Andean dams on Amazon fluvial ecosystems., PLoS One, 12, 1–35, https://doi.org/10.1371/journal.pone.0182254, 2017.
Frappart, F., Papa, F., Güntner, A., Werth, S., Santos da Silva, J.,
Tomasella, J., Seyler, F., Prigent, C., Rossow, W. B., Calmant, S., and
Bonnet, M. P.: Satellite-based estimates of groundwater storage variations
in large drainage basins with extensive floodplains, Remote Sens. Environ.,
115, 1588–1594, https://doi.org/10.1016/j.rse.2011.02.003, 2011.
Frappart, F., Ramillien, G., and Ronchail, J.: Changes in terrestrial water
storage versus rainfall and discharges in the Amazon basin, Int. J.
Climatol., 33, 3029–3046, https://doi.org/10.1002/joc.3647, 2013.
Getirana, A. C. V., Bonnet, M.-P., Rotunno Filho, O. C., Collischonn, W.,
Guyot, J.-L., Seyler, F., and Mansur, W. J.: Hydrological modelling and water
balance of the Negro River basin: evaluation based on in situ and spatial
altimetry data, Hydrol. Process., 24, 3219–3236, https://doi.org/10.1002/hyp.7747,
2010.
Getirana, A. C. V., Boone, A., Yamazaki, D., Decharme, B., Papa, F., and
Mognard, N.: The Hydrological Modeling and Analysis Platform (HyMAP):
Evaluation in the Amazon Basin, J. Hydrometeorol., 13, 1641–1665,
https://doi.org/10.1175/JHM-D-12-021.1, 2012.
Gloor, M., Brienen, R. J. W., Galbraith, D., Feldpausch, T. R.,
Schöngart, J., Guyot, J. L., Espinoza, J. C., Lloyd, J., and Phillips, O.
L.: Intensification of the Amazon hydrological cycle over the last two
decades, Geophys. Res. Lett., 40, 1729–1733, https://doi.org/10.1002/grl.50377,
2013.
Guan, K., Pan, M., Li, H., Wolf, A., Wu, J., Medvigy, D., Caylor, K. K.,
Sheffield, J., Wood, E. F., Malhi, Y., Liang, M., Kimball, J. S., Saleska,
S. R., Berry, J., Joiner, J., and Lyapustin, A. I.: Photosynthetic
seasonality of global tropical forests constrained by hydroclimate, Nat.
Geosci., 8, 284–289, https://doi.org/10.1038/ngeo2382, 2015.
Haddeland, I., Heinke, J., Biemans, H., Eisner, S., Flörke, M.,
Hanasaki, N., Konzmann, M., Ludwig, F., Masaki, Y., Schewe, J., Stacke, T.,
Tessler, Z. D., Wada, Y., and Wisser, D.: Global water resources affected by
human interventions and climate change, P. Natl. Acad. Sci. USA,
111, 3251–3256, https://doi.org/10.1073/pnas.1222475110, 2014.
Hanasaki, N., Yoshikawa, S., Pokhrel, Y., and Kanae, S.: A global hydrological simulation to specify the sources of water used by humans, Hydrol. Earth Syst. Sci., 22, 789–817, https://doi.org/10.5194/hess-22-789-2018, 2018.
Jiménez-Muñoz, J. C., Mattar, C., Barichivich, J.,
Santamaría-Artigas, A., Takahashi, K., Malhi, Y., Sobrino, J. A., and
Schrier, G. Van Der: Record-breaking warming and extreme drought in the
Amazon rainforest during the course of El Niño 2015–2016, Sci. Rep.,
6, 1–7, https://doi.org/10.1038/srep33130, 2016.
Joetzjer, E., Douville, H., Delire, C., Ciais, P., Decharme, B., and Tyteca, S.: Hydrologic benchmarking of meteorological drought indices at interannual to climate change timescales: a case study over the Amazon and Mississippi river basins, Hydrol. Earth Syst. Sci., 17, 4885–4895, https://doi.org/10.5194/hess-17-4885-2013, 2013.
Kalamandeen, M., Gloor, E., Mitchard, E., Quincey, D., Ziv, G., Spracklen,
D., Spracklen, B., Adami, M., Aragão, L. E. O. C., and Galbraith, D.:
Pervasive Rise of Small-scale Deforestation in Amazonia, Nature, 8, 1600,
https://doi.org/10.1038/s41598-018-19358-2, 2018.
Landerer, F. W. and Swenson, S. C.: Accuracy of scaled GRACE terrestrial
water storage estimates, Water Resour. Res., 48, 1–11,
https://doi.org/10.1029/2011WR011453, 2012.
Latrubesse, E. M., Arima, E. Y., Dunne, T., Park, E., Baker, V. R., d'Horta,
F. M., Wight, C., Wittmann, F., Zuanon, J., Baker, P. A., Ribas, C. C.,
Norgaard, R. B., Filizola, N., Ansar, A., Flyvbjerg, B., and Stevaux, J. C.:
Damming the rivers of the Amazon basin, Nature, 546, 363–369,
https://doi.org/10.1038/nature22333, 2017.
Lee, J.-E., Lintner, B. R., Boyce, C. K., and Lawrence, P. J.: Land use change exacerbates tropical South American drought by sea surface temperature variability, Geophys. Res. Lett., 38, L19706, doi:10.1029/2011GL049066, 2011.
Lehner, B. and Grill, G.: Global river hydrography, and network routing:
baseline data, and new approaches to study the world's large river systems,
Hydrol. Process., 27, 2171–2186, https://doi.org/10.1002/hyp.9740, 2013.
Lenton, T. M., Held, H., Kriegler, E., Hall, J. W., Lucht, W., Rahmstorf, S.
and Schellnhuber, H. J.: Tipping elements in the Earth System, P. Natl. Acad. Sci. USA, 106, 20561–20563, https://doi.org/10.1073/pnas.0911106106, 2009.
Lesack, L. F. W.: Water Balance and Hydrologic Characteristics of a Rain
Forest Catchment in the Central Amazon Basin, Water Resour. Res., 29,
759–773, 1993.
Lewis, S. L., Brando, P. M., Phillips, O. L., van der Heijden, G. M. F., and
Nepstad, D.: The 2010 Amazon Drought, Science, 331, LP-554, https://doi.org/10.1126/science.1200807, 2011.
Liang, S. and Xiao, Z.: Global Land Surface Products: Leaf Area Index Product Data Collection (1985–2010), Beijing Normal University, doi:10.6050/glass863.3004.db, 2012.
Lima, L. S., Coe, M. T., Soares Filho, B. S., Cuadra, S. V., Dias, L. C. P.,
Costa, M. H., Lima, L. S., and Rodrigues, H. O.: Feedbacks between
deforestation, climate, and hydrology in the Southwestern Amazon:
Implications for the provision of ecosystem services, Landsc. Ecol., 29,
261–274, https://doi.org/10.1007/s10980-013-9962-1, 2014.
Longuevergne, L., Scanlon, B. R., and Wilson, C. R.: GRACE hydrological
estimates for small basins: Evaluating processing approaches on the High
Plains aquifer, USA, Water Resour. Res., 46, 1–15,
https://doi.org/10.1029/2009WR008564, 2010.
Malhi, Y., Roberts, J. T., Betts, R. A., Killeen, T. J., Li, W., and Nobre, C.
a: Climate Change, Deforestation, and the Fate of the Amazon, Science, 319, 169–172, https://doi.org/10.1126/science.1146961, 2008.
Malhi, Y., Aragão, L. E. O. C., Galbraith, D., Huntingford, C., Fisher,
R., Zelazowski, P., Sitch, S., McSweeney, C., and Meir, P.: Exploring the
likelihood and mechanism of a climate-change-induced dieback of the Amazon
rainforest, P. Natl. Acad. Sci. USA, 106, 20610–20615,
https://doi.org/10.1073/pnas.0804619106, 2009.
Marengo, J. A.: Interdecadal variability and trends of rainfall across the
Amazon basin, Theor. Appl. Climatol., 78, 79–96,
https://doi.org/10.1007/s00704-004-0045-8, 2004.
Marengo, J. A.: Characteristics and spatio-temporal variability of the
Amazon river basin water budget, Clim. Dynam., 24, 11–22,
https://doi.org/10.1007/s00382-004-0461-6, 2005.
Marengo, J. A.: On the Hydrological Cycle of the Amazon Basin: A Historical
Review and Current State-of-the-art, Rev. Bras. Meteorol., 21, 1–19, 2006.
Marengo, J. A. and Espinoza, J. C.: Extreme seasonal droughts and floods in
Amazonia: Causes, trends and impacts, Int. J. Climatol., 36, 1033–1050,
https://doi.org/10.1002/joc.4420, 2016.
Marengo, J. A., Tomasella, J., and Uvo, C. R.: Trends in streamflow and
rainfall in tropical South America: Amazonia, eastern Brazil, and
northwestern Peru, J. Geophys. Res.-Atmos., 103, 1775–1783,
https://doi.org/10.1029/97JD02551, 1998.
Marengo, J. A., Nobre, C. A., Tomasella, J., Oyama, M. D., Sampaio de
Oliveira, G., de Oliveira, R., Camargo, H., Alves, L. M., and Brown, I. F.:
The Drought of Amazonia in 2005, J. Climate, 21, 495–516,
https://doi.org/10.1175/2007JCLI1600.1, 2008.
Marengo, J. A., Tomasella, J., Alves, L. M., Soares, W. R., and Rodriguez, D.
A.: The drought of 2010 in the context of historical droughts in the Amazon
region, Geophys. Res. Lett., 38, 1–5, https://doi.org/10.1029/2011GL047436, 2011.
Mckee, T. B., Doesken, N. J., and Kleist, J.: The relationship of drought
frequency and duration to time scales, AMS 8th Conf. Appl. Climatol.,
(January), 179–184, 1993.
Miguez-Macho, G. and Fan, Y.: The role of groundwater in the Amazon water
cycle: 1. Influence on seasonal streamflow, flooding and wetlands, J.
Geophys. Res.-Atmos., 117, 1–30, https://doi.org/10.1029/2012JD017539, 2012a.
Miguez-Macho, G., and Fan, Y.: The role of groundwater in the Amazon water
cycle: 2. Influence on seasonal soil moisture and evapotranspiration, J.
Geophys. Res.-Atmos., 117, https://doi.org/10.1029/2012JD017540, 2012b.
Miguez-Macho, G., Li, H., and Fan, Y.: Simulated water table and soil
moisture climatology over North America, B. Am. Meteorol. Soc., 89,
663–672, https://doi.org/10.1175/BAMS-89-5-663, 2008.
Monteiro, J. A. F., Strauch, M., Srinivasan, R., Abbaspour, K., and
Gücker, B.: Accuracy of grid precipitation data for Brazil: Application
in river discharge modelling of the Tocantins catchment, Hydrol. Process.,
30, 1419–1430, https://doi.org/10.1002/hyp.10708, 2016.
Monteith, J. L.: Evaporation and environment. The state and movement of
water in living organisms. Symposium of the society of experimental biology,
19, 205–234, 1965.
Moran, E. F., Lopez, M. C., Moore, N., Müller, N., and Hyndman, D. W.:
Sustainable hydropower in the 21st century, P. Natl. Acad. Sci. USA, 115,
201809426, https://doi.org/10.1073/pnas.1809426115, 2018.
Muller-Karger, F. E., McClain, C. R., and Richardson, P. L.: The dispersal of
the Amazon's water, Nature, 333, 56–59, https://doi.org/10.1038/332141a0, 1988.
Müller Schmied, H., Eisner, S., Franz, D., Wattenbach, M., Portmann, F. T., Flörke, M., and Döll, P.: Sensitivity of simulated global-scale freshwater fluxes and storages to input data, hydrological model structure, human water use and calibration, Hydrol. Earth Syst. Sci., 18, 3511–3538, https://doi.org/10.5194/hess-18-3511-2014, 2014.
Myneni, R. B., Yang, W., Nemani, R. R., Huete, A. R., Dickinson, R. E.,
Knyazikhin, Y., Didan, K., Fu, R., Negron Juarez, R. I., Saatchi, S. S.,
Hashimoto, H., Ichii, K., Shabanov, N. V., Tan, B., Ratana, P., Privette, J.
L., Morisette, J. T., Vermote, E. F., Roy, D. P., Wolfe, R. E., Friedl, M.
A., Running, S. W., Votava, P., El-Saleous, N., Devadiga, S., Su, Y., and
Salomonson, V. V.: Large seasonal swings in leaf area of Amazon rainforests,
P. Natl. Acad. Sci. USA, 104, 4820–4823, https://doi.org/10.1073/pnas.0611338104,
2007.
Nepstad, D. C., Stickler, C. M., Filho, B. S., and Merry, F.: Interactions
among Amazon land use, forests and climate: prospects for a near-term forest
tipping point, Philos. T. Roy. Soc. B, 363, 1737–1746,
https://doi.org/10.1098/rstb.2007.0036, 2008.
Newbold, T., Hudson, L. N., Arnell, A. P., Contu, S., De Palma, A., Ferrier,
S., Hill, S. L. L., Hoskins, A. J., Lysenko, I., Phillips, H. R. P., Burton,
V. J., Chng, C. W. T., Emerson, S., Gao, D., Pask-Hale, G., Hutton, J.,
Jung, M., Sanchez-Ortiz, K., Simmons, B. I., Whitmee, S., Zhang, H.,
Scharlemann, J. P. W., and Purvis, A.: Has land use pushed terrestrial
biodiversity beyond the planetary boundary?, A global assessment, Science, 353, LP-291, https://doi.org/10.1126/science.aaf2201, 2016.
Nobre, C. A., Sellers, P. J., and Shukla, J.: Amazonian Deforestation and
Regional Climate Change, J. Climate, 4, 957–988,
https://doi.org/10.1175/1520-0442(1991)004<0957:ADARCC>2.0.CO;2,
1991.
Paiva, R. C. D., Collischonn, W., Bonnet, M.-P., de Gonçalves, L. G. G., Calmant, S., Getirana, A., and Santos da Silva, J.: Assimilating in situ and radar altimetry data into a large-scale hydrologic-hydrodynamic model for streamflow forecast in the Amazon, Hydrol. Earth Syst. Sci., 17, 2929–2946, https://doi.org/10.5194/hess-17-2929-2013, 2013a.
Paiva, R. C. D., Buarque, D. C., Collischonn, W., Bonnet, M. P., Frappart,
F., Calmant, S., and Bulhões Mendes, C. A.: Large-scale hydrologic and
hydrodynamic modeling of the Amazon River basin, Water Resour. Res., 49,
1226–1243, https://doi.org/10.1002/wrcr.20067, 2013b.
Panday, P. K., Coe, M. T., Macedo, M. N., Lefebvre, P., and Castanho, A. D.
de A.: Deforestation offsets water balance changes due to climate
variability in the Xingu River in eastern Amazonia, J. Hydrol., 523,
822–829, https://doi.org/10.1016/j.jhydrol.2015.02.018, 2015.
Phillips, O. L., Aragão, L. E. O. C., Lewis, S. L., Fisher, J. B.,
Lloyd, J., López-González, G., Malhi, Y., Monteagudo, A., Peacock,
J., Quesada, C. a, van der Heijden, G., Almeida, S., Amaral, I., Arroyo, L.,
Aymard, G., Baker, T. R., Bánki, O., Blanc, L., Bonal, D., Brando, P.,
Chave, J., de Oliveira, A. C. A., Cardozo, N. D., Czimczik, C. I.,
Feldpausch, T. R., Freitas, M. A., Gloor, E., Higuchi, N., Jiménez, E.,
Lloyd, G., Meir, P., Mendoza, C., Morel, A., Neill, D. a, Nepstad, D.,
Patiño, S., Peñuela, M. C., Prieto, A., Ramírez, F., Schwarz,
M., Silva, J., Silveira, M., Thomas, A. S., Steege, H. Ter, Stropp, J.,
Vásquez, R., Zelazowski, P., Alvarez Dávila, E., Andelman, S.,
Andrade, A., Chao, K., Erwin, T., Di Fiore, A., Honorio C, E., Keeling, H.,
Killeen, T. J., Laurance, W. F., Peña Cruz, A., Pitman, N. C. a,
Núñez Vargas, P., Ramírez-Angulo, H., Rudas, A., Salamão,
R., Silva, N., Terborgh, J., Torres-Lezama, A., Heijden, G. Van Der,
Cristina, Á., Oliveira, A. De, Dávila, E. A., Fiore, A. Di, C, E.
H., Cruz, A. P., and Vargas, P. N.: Drought sensitivity of the Amazon
rainforest, Science, 323, 1344–1347,
https://doi.org/10.1126/science.1164033, 2009.
Phipps, S. J., Mcgregor, H. V., Gergis, J., Gallant, A. J. E., Neukom, R.,
Stevenson, S., Ackerley, D., Brown, J. R., Fischer, M. J., and Van Ommen, T.
D.: Paleoclimate data-model comparison and the role of climate forcings over
the past 1500 years, J. Climate, 26, 6915–6936,
https://doi.org/10.1175/JCLI-D-12-00108.1, 2013.
Pielke, R. A., Cotton, W. R., Walko, R. L., Tremback, C. J., Lyons, W. A.,
Grasso, L. D., Nicholls, M. E., Moran, M. D., Wesley, D. A., Lee, T. J., and
Copeland, J. H.: A comprehensive meteorological modeling system-RAMS,
Meteorol. Atmos. Phys., 49, 69–91, https://doi.org/10.1007/BF01025401, 1992.
Pokhrel, Y., Hanasaki, N., Koirala, S., Cho, J., Yeh, P. J.-F., Kim, H.,
Kanae, S., and Oki, T.: Incorporating Anthropogenic Water Regulation Modules
into a Land Surface Model, J. Hydrometeorol., 13, 255–269,
https://doi.org/10.1175/JHM-D-11-013.1, 2012a.
Pokhrel, Y., Hanasaki, N., Yeh, P. J.-F., Yamada, T. J., Kanae, S., and Oki,
T.: Model estimates of sea-level change due to anthropogenic impacts on
terrestrial water storage, Nat. Geosci, 5, 389–392, https://doi.org/10.1038/ngeo1476, 2012b.
Pokhrel, Y., Shin, S., Lin, Z., Yamazaki, D., and Qi, J.: Potential
Disruption of Flood Dynamics in the Lower Mekong River Basin Due to Upstream
Flow Regulation, Sci. Rep., 8, 17767, https://doi.org/10.1038/s41598-018-35823-4,
2018.
Pokhrel, Y. N., Fan, Y., Miguez-Macho, G., Yeh, P. J. F., and Han, S. C.: The
role of groundwater in the Amazon water cycle: 3. Influence on terrestrial
water storage computations and comparison with GRACE, J. Geophys. Res.-Atmos., 118, 3233–3244, https://doi.org/10.1002/jgrd.50335, 2013.
Pokhrel, Y. N., Fan, Y., and Miguez-Macho, G.: Potential hydrologic changes
in the Amazon by the end of the 21st century and the groundwater buffer,
Environ. Res. Lett., 9, 084004, https://doi.org/10.1088/1748-9326/9/8/084004, 2014.
Rammig, A., Jupp, T., Thonicke, K., Tietjen, B., Heinke, J., Lucht, W.,
Cramer, W., Cox, P., and Jupp, T.: Estimating the risk of Amazonian forest
dieback Estimating, New Phytol., 187, 694–706,
https://doi.org/10.1111/j.1469-8137.2010.03318.x, 2010.
Sahoo, A. K., Pan, M., Troy, T. J., Vinukollu, R. K., Sheffield, J., and
Wood, E. F.: Reconciling the global terrestrial water budget using satellite
remote sensing, Remote Sens. Environ., 115, 1850–1865,
https://doi.org/10.1016/j.rse.2011.03.009, 2011.
Saleska, S. R., Didan, K., Huete, A. R., and Da Rocha, H. R.: Amazon forests
green-up during 2005 drought, Science, 318, 612,
https://doi.org/10.1126/science.1146663, 2007.
Saleska, S. R., Wu, J., Guan, K., Araujo, A. C., Huete, A., Nobre, A. D., and
Restrepo-Coupe, N.: Dry-season greening of Amazon forests, Nature,
531, 4–5, https://doi.org/10.1038/nature16457, 2016.
Satyamurty, P., Da Costa, C. P. W., Manzi, A. O., and Candido, L. A.: A quick
look at the 2012 record flood in the Amazon Basin, Geophys. Res. Lett.,
40, 1396–1401, https://doi.org/10.1002/grl.50245, 2013.
Scanlon, B. R., Zhang, Z., Save, H., Wiese, D. N., Landerer, F. W., Long,
D., Laurent, L., and Chen, J.: Global evaluation of new GRACEmascon products
for hydrologic applications, Water Resour. Res., 9412–9429,
https://doi.org/10.1002/2016WR019494, 2016.
Scanlon, B. R., Zhang, Z., Save, H., Sun, A. Y., Müller Schmied, H., van
Beek, L. P. H., Wiese, D. N., Wada, Y., Long, D., Reedy, R. C.,
Longuevergne, L., Döll, P., and Bierkens, M. F. P.: Global models
underestimate large decadal declining and rising water storage trends
relative to GRACE satellite data, P. Natl. Acad. Sci. USA, 115, 1080–1089,
https://doi.org/10.1073/pnas.1704665115, 2018.
Schöngart, J. and Junk, W. J.: Forecasting the flood-pulse in Central
Amazonia by ENSO-indices, J. Hydrol., 335, 124–132,
https://doi.org/10.1016/j.jhydrol.2006.11.005, 2007.
Sena, J. A., de Deus, L. A. B., Freitas, M. A. V., and Costa, L.: Extreme
Events of Droughts and Floods in Amazonia: 2005 and 2009, Water Resour.
Manag., 26, 1665–1676, https://doi.org/10.1007/s11269-012-9978-3, 2012.
Shin, S., Pokhrel, Y., and Miguez-Macho, G.: High Resolution Modeling of Reservoir Release and Storage Dynamics at the Continental Scale, Water Resour. Res., 55, 787–810, doi:10.1029/2018WR023025, 2018.
Shukla, J., Nobre, C., and Sellers, P.: Amazon Deforestation and Climate
Change, Science, 247, LP-1325,
https://doi.org/10.1126/science.247.4948.1322, 1990.
Siqueira, V. A., Paiva, R. C. D., Fleischmann, A. S., Fan, F. M., Ruhoff, A. L., Pontes, P. R. M., Paris, A., Calmant, S., and Collischonn, W.: Toward continental hydrologic–hydrodynamic modeling in South America, Hydrol. Earth Syst. Sci., 22, 4815–4842, https://doi.org/10.5194/hess-22-4815-2018, 2018.
Smith, L. T., Aragão, L. E. O. C., Sabel, C. E., and Nakaya, T.: Drought
impacts on children's respiratory health in the Brazilian Amazon, Sci. Rep.,
4, 1–8, https://doi.org/10.1038/srep03726, 2014.
Soares-Filho, B., Moutinho, P., Nepstad, D., Anderson, A., Rodrigues, H.,
Garcia, R., Dietzsch, L., Merry, F., Bowman, M., Hissa, L., Silvestrini, R.,
and Maretti, C.: Role of Brazilian Amazon protected areas in climate change
mitigation, P. Natl. Acad. Sci. USA, 107, 10821–10826,
https://doi.org/10.1073/pnas.0913048107, 2010.
Soito, J. L. D. S., and Freitas, M. A. V.: Amazon and the expansion of
hydropower in Brazil: Vulnerability, impacts and possibilities for
adaptation to global climate change, Renew. Sustain. Energy Rev., 15,
3165–3177, https://doi.org/10.1016/j.rser.2011.04.006, 2011.
Sun, A. Y., Scanlon, B. R., Zhang, Z., Walling, D., Bhanja, S. N., Mukherjee, A., and Zhong, Z.: Combining Physically Based Modeling and Deep Learning for Fusing GRACE Satellite Data: Can We Learn From Mismatch?, Water Resour. Res., 55, 1179–1195, doi:10.1029/2018WR023333, 2019.
Taylor, K. E.: Summarizing multiple aspects of model performance in a single
diagram, J. Geophys. Res.-Atmos., 106, 7183–7192,
https://doi.org/10.1029/2000JD900719, 2001.
Timpe, K. and Kaplan, D.: The changing hydrology of a dammed Amazon, Sci.
Adv., 3, 1–14, https://doi.org/10.1126/sciadv.1700611, 2017.
Tófoli, R. M., Dias, R. M., Zaia Alves, G. H., Hoeinghaus, D. J., Gomes,
L. C., Baumgartner, M. T., and Agostinho, A. A.: Gold at what cost?, Another
megaproject threatens biodiversity in the Amazon, Perspect. Ecol. Conserv.,
15, 129–131, https://doi.org/10.1016/j.pecon.2017.06.003, 2017.
Tollefson, J.: Deforestation rates spike in Brazil, Nature, 540,
182–183, https://doi.org/10.1038/nature.2016.21083, 2016.
Toomey, M., Roberts, D. A., Still, C., Goulden, M. L., and McFadden, J. P.: Remotely sensed heat anomalies linked with Amazonian forest biomass declines, Geophys. Res. Lett., 38, L19704, doi:10.1029/2011GL049041.
Towner, J., Cloke, H. L., Zsoter, E., Flamig, Z., Hoch, J. M., Bazo, J., Coughlan de Perez, E., and Stephens, E. M.: Assessing the performance of global hydrological models for capturing peak river flows in the Amazon Basin, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-44, in review, 2019.
Van Loon, A. F. and Laaha, G.: Hydrological drought severity explained by
climate and catchment characteristics, J. Hydrol., 526, 3–14,
https://doi.org/10.1016/j.jhydrol.2014.10.059, 2015.
Van Loon, A. F., Van Huijgevoort, M. H. J., and Van Lanen, H. A. J.: Evaluation of drought propagation in an ensemble mean of large-scale hydrological models, Hydrol. Earth Syst. Sci., 16, 4057–4078, https://doi.org/10.5194/hess-16-4057-2012, 2012.
Vorosmarty, C. J., Willmott, C. J., Choudhury, B. J., Schloss, A. L.,
Stearns, T. K., Robeson, S. M., and Dorman, T. J.: Analyzing the discharge
regime of a large tropical river through remote sensing , ground-based
climatic data , and modeling differences (HVPTD) from the 37-GHz scanning
multichannel microwave radiometer model (WBM/WTM), Monthly, Water
Resour. Res., 32, 3137–3150, https://doi.org/10.1029/96WR01333, 1996.
Walko, R. L., Band, L. E., Baron, J., Kittel, T. G. F., Lammers, R., Lee, T.
J., Ojima, D., Pielke, R. A., Taylor, C., Tague, C., Tremback, C. J., and
Vidale, P. L.: Coupled atmosphere, biophysics and hydrology models for
environmental modeling, J. Appl. Meteorol., 39, 931–944,
https://doi.org/10.1175/1520-0450(2000)039<0931:CABHMF>2.0.CO;2,
2000.
Wanders, N. and Van Lanen, H. A. J.: Future discharge drought across climate regions around the world modelled with a synthetic hydrological modelling approach forced by three general circulation models, Nat. Hazards Earth Syst. Sci., 15, 487–504, https://doi.org/10.5194/nhess-15-487-2015, 2015.
Wanders, N. and Wada, Y.: Human and climate impacts on the 21st century
hydrological drought, J. Hydrol., 526, 208–220,
https://doi.org/10.1016/j.jhydrol.2014.10.047, 2015.
Wanders, N., Wada, Y., and Van Lanen, H. A. J.: Global hydrological droughts in the 21st century under a changing hydrological regime, Earth Syst. Dynam., 6, 1–15, https://doi.org/10.5194/esd-6-1-2015, 2015.
Wang, K., Shi, H., Chen, J., and Li, T.: An improved operation-based
reservoir scheme integrated with Variable Infiltration Capacity model for
multiyear and multipurpose reservoirs, J. Hydrol., 571, 365–375,
https://doi.org/10.1016/j.jhydrol.2019.02.006, 2019.
Weedon, G. P., Balsamo, G., Bellouin, N., Gomes, S., Best, M. J., and
Viterbo, P.: Data methodology applied to ERA-Interim reanalysis data, Water
Resour. Res., 50, 7505–7514, https://doi.org/10.1002/2014WR015638, 2014.
Winemiller, K. O., McIntyre, P. B., Castello, L., Fluet-Chouinard, E.,
Giarrizzo, T., Nam, S., Baird, I. G., Darwall, W., Lujan, N. K., Harrison,
I., Stiassny, M. L. J. J., Silvano, R. A. M. M., Fitzgerald, D. B.,
Pelicice, F. M., Agostinho, A. A., Gomes, L. C., Albert, J. S., Baran, E.,
Petrere, M., Zarfl, C., Mulligan, M., Sullivan, J. P., Arantes, C. C.,
Sousa, L. M., Koning, A. A., Hoeinghaus, D. J., Sabaj, M., Lundberg, J. G.,
Armbruster, J., Thieme, M. L., Petry, P., Zuanon, J., Vilara, G. T., Snoeks,
J., Ou, C., Rainboth, W., Pavanelli, C. S., Akama, A., Soesbergen, A. v.,
Saenz, L., Torrente Vilara, G., Snoeks, J., Ou, C., Rainboth, W., Pavanelli,
C. S., Akama, A., Van Soesbergen, A., and Sáenz, L.: Balancing hydropower
and biodiversity in the Amazon, Congo, and Mekong, Science,,
351, 128–129, https://doi.org/10.1126/science.aac7082, 2016.
Wongchuig Correa, S., Paiva, R. C. D., de Espinoza, J. C., and Collischonn,
W.: Multi-decadal Hydrological Retrospective: Case study of Amazon floods
and droughts, J. Hydrol., 549, 667–684, https://doi.org/10.1016/j.jhydrol.2017.04.019,
2017.
Xavier, L., Becker, M., Cazenave, A., Longuevergne, L., Llovel, W., and
Filho, O. C. R.: Interannual variability in water storage over 2003-2008 in
the Amazon Basin from GRACE space gravimetry, in situ river level and
precipitation data, Remote Sens. Environ., 114, 1629–1637,
https://doi.org/10.1016/j.rse.2010.02.005, 2010.
Xiao, Z., Liang, S., Wang, J., Chen, P., Yin, X., Zhang, L., and Song, J.:
Use of general regression neural networks for generating the GLASS leaf area
index product from time-series MODIS surface reflectance, IEEE Trans.
Geosci. Remote Sens., 52, 209–223, https://doi.org/10.1109/TGRS.2013.2237780, 2014.
Xu, B., Park, T., Yan, K., Chen, C., Zeng, Y., Song, W., Yin, G., Li, J., Liu, Q., Knyazikhin, Y., and Myneni, B. R.: Analysis of Global LAI/FPAR Products from VIIRS and MODIS Sensors for Spatio-Temporal Consistency and Uncertainty from 2012–-2016, For., 9, 73, doi:10.3390/f9020073, 2018.
Xu, L., Samanta, A., Costa, M. H., Ganguly, S., Nemani, R. R., and Myneni, R.
B.: Widespread decline in greenness of Amazonian vegetation due to the 2010
drought, Geophys. Res. Lett., 38, 2–5, https://doi.org/10.1029/2011GL046824, 2011.
Yamazaki, D., Kanae, S., Kim, H., and Oki, T.: A physically based description
of floodplain inundation dynamics in a global river routing model, Water
Resour. Res., 47, 1–21, https://doi.org/10.1029/2010WR009726, 2011.
Yamazaki, D., Baugh, C. A., Bates, P. D., Kanae, S., Alsdorf, D. E., and Oki,
T.: Adjustment of a spaceborne DEM for use in floodplain hydrodynamic
modeling, J. Hydrol., 436, 81–91, https://doi.org/10.1016/j.jhydrol.2012.02.045,
2012.
Zeng, N.: Seasonal cycle and interannual variability in the Amazon
hydrologic cycle, J. Geophys. Res.-Atmos., 104, 9097–9106,
https://doi.org/10.1029/1998JD200088, 1999.
Zeng, N., Yoon, J.-H., Marengo, J. A., Subramaniam, A., Nobre, C. A., Mariotti, A. and Neelin, J. D.: Causes and impacts of the 2005 Amazon drought, Environ. Res. Lett., 3, 14002, doi:10.1088/1748-9326/3/1/014002, 2008.
Zhao, M., A, G., Velicogna, I., and Kimball, J. S.: A Global Gridded Dataset
of GRACE Drought Severity Index for 2002–14: Comparison with PDSI and SPEI
and a Case Study of the Australia Millennium Drought, J. Hydrometeorol.,
18, 2117–2129, https://doi.org/10.1175/JHM-D-16-0182.1, 2017a.
Zhao, M., Geruo, A., Velicogna, I., and Kimball, J. S.: Satellite
observations of regional drought severity in the continental United States
using GRACE-based terrestrial water storage changes, J. Climate, 30,
6297–6308, https://doi.org/10.1175/JCLI-D-16-0458.1, 2017b.
Zulkafli, Z., Buytaert, W., Manz, B., Rosas, C. V., Willems, P., Lavado-Casimiro, W., Guyot, J.-L., and Santini, W.: Projected increases in the annual flood pulse of the Western Amazon, Environ. Res. Lett., 11, 14013, doi:10.1088/1748-9326/11/1/014013, 2016.
Short summary
Comprehensive characterization of extreme drought events in the Amazon is provided with respect to their cause, type, spatial extent, and impact on different water stores. Basin-averaged trends in water storage indicate that the Amazon is getting wetter; however its southern and southeastern portions are getting drier. Water deficit is found to be 3-fold higher than the total water supplied during some drought years. Water deficit due to low precipitation events is absorbed by the groundwater.
Comprehensive characterization of extreme drought events in the Amazon is provided with respect...
