Articles | Volume 22, issue 6
https://doi.org/10.5194/hess-22-3105-2018
© Author(s) 2018. 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-22-3105-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Jun 2018
Research article |
| 04 Jun 2018
| 04 Jun 2018
Historical drought patterns over Canada and their teleconnections with large-scale climate signals
Global Institute for Water Security and School of Environment and Sustainability, University of Saskatchewan, 11 Innovation Blvd, Saskatoon, SK, Canada S7N 3H5
Howard Simon Wheater
Global Institute for Water Security and School of Environment and Sustainability, University of Saskatchewan, 11 Innovation Blvd, Saskatoon, SK, Canada S7N 3H5
Barrie Bonsal
Environment and Climate Change Canada, 11 Innovation Blvd, Saskatoon, SK, Canada S7N 3H5
Saman Razavi
Global Institute for Water Security and School of Environment and Sustainability, University of Saskatchewan, 11 Innovation Blvd, Saskatoon, SK, Canada S7N 3H5
Sopan Kurkute
Global Institute for Water Security and School of Environment and Sustainability, University of Saskatchewan, 11 Innovation Blvd, Saskatoon, SK, Canada S7N 3H5
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Earth Syst. Sci. Data, 12, 629–645, https://doi.org/10.5194/essd-12-629-2020, https://doi.org/10.5194/essd-12-629-2020, 2020
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This dataset provides an improved set of forcing data for large-scale hydrological models for climate change impact assessment in the Mackenzie River Basin (MRB). Here, the strengths of two historical datasets were blended to produce a less-biased long-record product for hydrological modelling and climate change impact assessment over the MRB. This product is then used to bias-correct climate projections from the Canadian Regional Climate Model under RCP8.5.
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Jefferson S. Wong, Saman Razavi, Barrie R. Bonsal, Howard S. Wheater, and Zilefac E. Asong
Hydrol. Earth Syst. Sci., 21, 2163–2185, https://doi.org/10.5194/hess-21-2163-2017, https://doi.org/10.5194/hess-21-2163-2017, 2017
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This study was conducted to quantify the spatial and temporal variability of the errors associated with various gridded precipitation products in Canada. Overall, WFDEI [GPCC] and CaPA performed best with respect to different performance measures, followed by ANUSPLIN and WEDEI [CRU]. Princeton and NARR demonstrated the lowest quality. Comparing the climate model-simulated products, PCIC ensembles generally performed better than NA-CORDEX ensembles in terms of reliability in four seasons.
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Hydrol. Earth Syst. Sci., 27, 4595–4608, https://doi.org/10.5194/hess-27-4595-2023, https://doi.org/10.5194/hess-27-4595-2023, 2023
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Wetlands are important ecosystems that store carbon and play a vital role in the water cycle. However, hydrological computer models do not always represent wetlands and their interaction with groundwater accurately. We tested different possible ways to include groundwater–wetland interactions in these models. We found that the optimal method to include wetlands and groundwater in the models is reliant on the intended use of the models and the characteristics of the land and soil being studied.
Reyhaneh Hashemi, Pierre Javelle, Olivier Delestre, and Saman Razavi
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-282, https://doi.org/10.5194/hess-2023-282, 2023
Manuscript not accepted for further review
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Here, we have tackled the challenge of estimating water flow in areas without direct measurements, a crucial task in hydrology. We have applied deep learning techniques to a large sample of French catchments with various hydrological regimes. We have also compared our approach with traditional methods. We found that incorporating more data improves the accuracy of our deep learning predictions. Notably, our method outperforms traditional approaches in certain regimes, though not universally.
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Prior to any climate change assessment, it is necessary to assess the ability of available models to reliably reproduce observed permafrost and hydrology. Following a progressive approach, various model set-ups were developed and evaluated against different data sources. The study shows that different model set-ups favour different sources of data and it is challenging to configure a model faithful to all data sources, which are at times inconsistent with each other.
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Hydrol. Earth Syst. Sci., 27, 1201–1219, https://doi.org/10.5194/hess-27-1201-2023, https://doi.org/10.5194/hess-27-1201-2023, 2023
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Chris M. DeBeer, Howard S. Wheater, John W. Pomeroy, Alan G. Barr, Jennifer L. Baltzer, Jill F. Johnstone, Merritt R. Turetsky, Ronald E. Stewart, Masaki Hayashi, Garth van der Kamp, Shawn Marshall, Elizabeth Campbell, Philip Marsh, Sean K. Carey, William L. Quinton, Yanping Li, Saman Razavi, Aaron Berg, Jeffrey J. McDonnell, Christopher Spence, Warren D. Helgason, Andrew M. Ireson, T. Andrew Black, Mohamed Elshamy, Fuad Yassin, Bruce Davison, Allan Howard, Julie M. Thériault, Kevin Shook, Michael N. Demuth, and Alain Pietroniro
Hydrol. Earth Syst. Sci., 25, 1849–1882, https://doi.org/10.5194/hess-25-1849-2021, https://doi.org/10.5194/hess-25-1849-2021, 2021
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Earth Syst. Sci. Data, 12, 1835–1860, https://doi.org/10.5194/essd-12-1835-2020, https://doi.org/10.5194/essd-12-1835-2020, 2020
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Andrew R. Slaughter and Saman Razavi
Earth Syst. Sci. Data, 12, 231–243, https://doi.org/10.5194/essd-12-231-2020, https://doi.org/10.5194/essd-12-231-2020, 2020
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Water management faces the challenge of non-stationarity in future flows. To extend flow datasets beyond the gauging data, this study presents a method of generating an ensemble of weekly flows from tree-ring reconstructed flows to represent uncertainty that can overcome certain long-standing data challenges with paleo-reconstruction. An ensemble of 500 flow time series were generated for the four sub-basins of the Saskatchewan River basin, Canada, for the period 1600–2001.
Christopher B. Marsh, John W. Pomeroy, and Howard S. Wheater
Geosci. Model Dev., 13, 225–247, https://doi.org/10.5194/gmd-13-225-2020, https://doi.org/10.5194/gmd-13-225-2020, 2020
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The Canadian Hydrological Model (CHM) is a next-generation distributed model. Although designed to be applied generally, it has a focus for application where cold-region processes, such as snowpacks, play a role in hydrology. A key feature is that it uses a multi-scale surface representation, increasing efficiency. It also enables algorithm comparisons in a flexible structure. Model philosophy, design, and several cold-region-specific examples are described.
Mohamed E. Elshamy, Daniel Princz, Gonzalo Sapriza-Azuri, Mohamed S. Abdelhamed, Al Pietroniro, Howard S. Wheater, and Saman Razavi
Hydrol. Earth Syst. Sci., 24, 349–379, https://doi.org/10.5194/hess-24-349-2020, https://doi.org/10.5194/hess-24-349-2020, 2020
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Permafrost is an important feature of cold-region hydrology and needs to be properly represented in hydrological and land surface models (H-LSMs), especially under the observed and expected climate warming trends. This study aims to devise a robust, yet computationally efficient, initialization and parameterization approach for permafrost. We used permafrost observations from three sites along the Mackenzie River valley spanning different permafrost classes to test the validity of the approach.
Yanping Li, Zhenhua Li, Zhe Zhang, Liang Chen, Sopan Kurkute, Lucia Scaff, and Xicai Pan
Hydrol. Earth Syst. Sci., 23, 4635–4659, https://doi.org/10.5194/hess-23-4635-2019, https://doi.org/10.5194/hess-23-4635-2019, 2019
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High-resolution regional climate modeling that resolves convection was conducted over western Canada for the current climate and a high-end greenhouse gas emission scenario by 2100. The simulation demonstrates its good quality in capturing the temporal and spatial variation in the major hydrometeorological variables. The warming is stronger in the northeastern domain in the cold seasons. It also shows a larger increase in high-intensity precipitation events than moderate and light ones by 2100.
Razi Sheikholeslami, Saman Razavi, and Amin Haghnegahdar
Geosci. Model Dev., 12, 4275–4296, https://doi.org/10.5194/gmd-12-4275-2019, https://doi.org/10.5194/gmd-12-4275-2019, 2019
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The ever-growing complexity of Earth and environmental system models can pose many types of software development and implementation issues such as parameter-induced simulation crashes, which are mainly caused by the violation of numerical stability conditions. Here, we introduce a new approach to handle crashed simulations when performing sensitivity analysis. Our results show that this approach can comply well with the dimensionality of the model, sample size, and the number of crashes.
Fuad Yassin, Saman Razavi, Mohamed Elshamy, Bruce Davison, Gonzalo Sapriza-Azuri, and Howard Wheater
Hydrol. Earth Syst. Sci., 23, 3735–3764, https://doi.org/10.5194/hess-23-3735-2019, https://doi.org/10.5194/hess-23-3735-2019, 2019
Ronald E. Stewart, Kit K. Szeto, Barrie R. Bonsal, John M. Hanesiak, Bohdan Kochtubajda, Yanping Li, Julie M. Thériault, Chris M. DeBeer, Benita Y. Tam, Zhenhua Li, Zhuo Liu, Jennifer A. Bruneau, Patrick Duplessis, Sébastien Marinier, and Dominic Matte
Hydrol. Earth Syst. Sci., 23, 3437–3455, https://doi.org/10.5194/hess-23-3437-2019, https://doi.org/10.5194/hess-23-3437-2019, 2019
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This article examines future atmospheric-related phenomena across the interior of western Canada associated with a
business-as-usualclimate scenario. Changes in large-scale atmospheric circulation and extent of warming vary with season, and these generally lead to increases, especially after mid-century, in factors associated with winter snowstorms, freezing rain, drought, forest fires, as well as atmospheric forcing of spring floods, although not necessarily summer convection.
Zilefac Elvis Asong, Mohamed Elshamy, Daniel Princz, Howard Wheater, John Pomeroy, Alain Pietroniro, and Alex Cannon
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-249, https://doi.org/10.5194/hess-2019-249, 2019
Publication in HESS not foreseen
Fuad Yassin, Saman Razavi, Jefferson S. Wong, Alain Pietroniro, and Howard Wheater
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-207, https://doi.org/10.5194/hess-2019-207, 2019
Preprint withdrawn
Zilefac Elvis Asong, Howard Simon Wheater, John Willard Pomeroy, Alain Pietroniro, Mohamed Ezzat Elshamy, Daniel Princz, and Alex Cannon
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-128, https://doi.org/10.5194/essd-2018-128, 2018
Preprint withdrawn
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Cold regions hydrology is very sensitive to the impacts of climate warming. We need better hydrological models driven by reliable climate data in order to assess hydrologic responses to climate change. Cold regions often have sparse surface observations, particularly at high elevations that generate a major amount of runoff. We produce a long-term dataset that can be used to better understand and represent the seasonal/inter-annual variability of hydrological fluxes and the the timing of runoff.
Zhenhua Li, Yanping Li, Barrie Bonsal, Alan H. Manson, and Lucia Scaff
Hydrol. Earth Syst. Sci., 22, 5057–5067, https://doi.org/10.5194/hess-22-5057-2018, https://doi.org/10.5194/hess-22-5057-2018, 2018
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The research started by investigating the 2015 growing season drought over the Canadian Prairies and evolved into investigating the connection between growing season rain deficit in the Prairies and MJO (20–90 days tropical oscillation in convective storms). With warm central Pacific sea surface temperature, strong MJOs in the western Pacific cause Rossby wave trains that propagate downstream and favour upper-level ridges and rain deficits over the Canadian Prairies during the growing season.
Gonzalo Sapriza-Azuri, Pablo Gamazo, Saman Razavi, and Howard S. Wheater
Hydrol. Earth Syst. Sci., 22, 3295–3309, https://doi.org/10.5194/hess-22-3295-2018, https://doi.org/10.5194/hess-22-3295-2018, 2018
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Arctic and subarctic regions are amongst the most susceptible regions on Earth to climate change. There, models require a proper representation of the interactions between climate and hydrology. Typically these model represent the soil with shallow depths, whereas for cold regions, deep soil is needed. To address this, we run model experiments to characterize the effect of soil depth and temperature soil initialization. Our results demonstrate that 20 m of soil profile is essential.
José-Luis Guerrero, Patricia Pernica, Howard Wheater, Murray Mackay, and Chris Spence
Hydrol. Earth Syst. Sci., 21, 6345–6362, https://doi.org/10.5194/hess-21-6345-2017, https://doi.org/10.5194/hess-21-6345-2017, 2017
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Lakes are sentinels of climate change, and an adequate characterization of their feedbacks to the atmosphere could improve climate modeling. These feedbacks, as heat fluxes, can be simulated but are seldom measured, casting doubt on modeling results. Measurements from a small lake in Canada established that the model parameter modulating how much light penetrates the lake dominates model response. This parameter is measurable: improved monitoring could lead to more robust modeling.
Xicai Pan, Warren Helgason, Andrew Ireson, and Howard Wheater
Hydrol. Earth Syst. Sci., 21, 5401–5413, https://doi.org/10.5194/hess-21-5401-2017, https://doi.org/10.5194/hess-21-5401-2017, 2017
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In this paper we present a case study from a heterogeneous pasture site in the Canadian prairies, where we have quantified the various components of the water balance on the field scale, and critically examine some of the simplifying assumptions which are often invoked when applying water budget approaches in applied hydrology. We highlight challenges caused by lateral fluxes of blowing snow and ambiguous partitioning of snow melt water into runoff and infiltration.
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.
Jefferson S. Wong, Saman Razavi, Barrie R. Bonsal, Howard S. Wheater, and Zilefac E. Asong
Hydrol. Earth Syst. Sci., 21, 2163–2185, https://doi.org/10.5194/hess-21-2163-2017, https://doi.org/10.5194/hess-21-2163-2017, 2017
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This study was conducted to quantify the spatial and temporal variability of the errors associated with various gridded precipitation products in Canada. Overall, WFDEI [GPCC] and CaPA performed best with respect to different performance measures, followed by ANUSPLIN and WEDEI [CRU]. Princeton and NARR demonstrated the lowest quality. Comparing the climate model-simulated products, PCIC ensembles generally performed better than NA-CORDEX ensembles in terms of reliability in four seasons.
Chris M. DeBeer, Howard S. Wheater, Sean K. Carey, and Kwok P. Chun
Hydrol. Earth Syst. Sci., 20, 1573–1598, https://doi.org/10.5194/hess-20-1573-2016, https://doi.org/10.5194/hess-20-1573-2016, 2016
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This paper provides a comprehensive review and up-to-date synthesis of the observed changes in air temperature, precipitation, seasonal snow cover, mountain glaciers, permafrost, freshwater ice cover, and river discharge over the interior of western Canada since the mid- or late 20th century. Important long-term observational networks and data sets are described, and qualitative linkages among the changing Earth system components are highlighted.
A. Nazemi and H. S. Wheater
Hydrol. Earth Syst. Sci., 19, 33–61, https://doi.org/10.5194/hess-19-33-2015, https://doi.org/10.5194/hess-19-33-2015, 2015
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Activities related to water resource management perturb terrestrial water cycle with hydrologic and land-atmospheric implications. By defining water resource management as the integration of water demand with water supply and allocation, this paper critically reviews current schemes for representing human water demands in models relevant to Earth system modelling. We conclude that current representations are limited due to uncertainties in data support, demand algorithms and large-scale models.
A. Nazemi and H. S. Wheater
Hydrol. Earth Syst. Sci., 19, 63–90, https://doi.org/10.5194/hess-19-63-2015, https://doi.org/10.5194/hess-19-63-2015, 2015
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Human water supply and allocation are major drivers of change in terrestrial water cycle. Considering current schemes for representing water supply and allocation in large-scale models, we review the state of the art and highlight various sources of uncertainty. Considering the opportunities for improving available schemes, we argue that the time is right for a global initiative based on a set of regional case studies to improve the inclusion of water resource management in large-scale models.
Related subject area
Subject: Hydrometeorology | Techniques and Approaches: Modelling approaches
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The accurate estimation of precipitation and its spatial variability within a watershed is crucial for reliable discharge simulations. The study is the first detailed analysis of the potential usage of the cellular automata technique to merge different rainfall data inputs to hydrological models. This work shows an improvement in the performance of hydrological simulations when satellite and rain gauge data are merged.
Beijing Fang, Emanuele Bevacqua, Oldrich Rakovec, and Jakob Zscheischler
Hydrol. Earth Syst. Sci., 28, 3755–3775, https://doi.org/10.5194/hess-28-3755-2024, https://doi.org/10.5194/hess-28-3755-2024, 2024
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We use grid-based runoff from a hydrological model to identify large spatiotemporally connected flood events in Europe, assess extent trends over the last 70 years, and attribute the trends to different drivers. Our findings reveal a general increase in flood extent, with regional variations driven by diverse factors. The study not only enables a thorough examination of flood events across multiple basins but also highlights the potential challenges arising from changing flood extents.
Alexandre Devers, Jean-Philippe Vidal, Claire Lauvernet, Olivier Vannier, and Laurie Caillouet
Hydrol. Earth Syst. Sci., 28, 3457–3474, https://doi.org/10.5194/hess-28-3457-2024, https://doi.org/10.5194/hess-28-3457-2024, 2024
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Daily streamflow series for 661 near-natural French catchments are reconstructed over 1871–2012 using two ensemble datasets: HydRE and HydREM. They include uncertainties coming from climate forcings, streamflow measurement, and hydrological model error (for HydrREM). Comparisons with other hydrological reconstructions and independent/dependent observations show the added value of the two reconstructions in terms of quality, uncertainty estimation, and representation of extremes.
María Agostina Bracalenti, Omar V. Müller, Miguel A. Lovino, and Ernesto Hugo Berbery
Hydrol. Earth Syst. Sci., 28, 3281–3303, https://doi.org/10.5194/hess-28-3281-2024, https://doi.org/10.5194/hess-28-3281-2024, 2024
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The Gran Chaco is a large, dry forest in South America that has been heavily deforested, particularly in the dry Chaco subregion. This deforestation, mainly driven by the expansion of the agricultural frontier, has changed the land's characteristics, affecting the local and regional climate. The study reveals that deforestation has resulted in reduced precipitation, soil moisture, and runoff, and if intensive agriculture continues, it could make summers in this arid region even drier and hotter.
Rutong Liu, Jiabo Yin, Louise Slater, Shengyu Kang, Yuanhang Yang, Pan Liu, Jiali Guo, Xihui Gu, Xiang Zhang, and Aliaksandr Volchak
Hydrol. Earth Syst. Sci., 28, 3305–3326, https://doi.org/10.5194/hess-28-3305-2024, https://doi.org/10.5194/hess-28-3305-2024, 2024
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Climate change accelerates the water cycle and alters the spatiotemporal distribution of hydrological variables, thus complicating the projection of future streamflow and hydrological droughts. We develop a cascade modeling chain to project future bivariate hydrological drought characteristics over China, using five bias-corrected global climate model outputs under three shared socioeconomic pathways, five hydrological models, and a deep-learning model.
Lu Su, Dennis P. Lettenmaier, Ming Pan, and Benjamin Bass
Hydrol. Earth Syst. Sci., 28, 3079–3097, https://doi.org/10.5194/hess-28-3079-2024, https://doi.org/10.5194/hess-28-3079-2024, 2024
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We fine-tuned the variable infiltration capacity (VIC) and Noah-MP models across 263 river basins in the Western US. We developed transfer relationships to similar basins and extended the fine-tuned parameters to ungauged basins. Both models performed best in humid areas, and the skills improved post-calibration. VIC outperforms Noah-MP in all but interior dry basins following regionalization. VIC simulates annual mean streamflow and high flow well, while Noah-MP performs better for low flows.
Valentin Dura, Guillaume Evin, Anne-Catherine Favre, and David Penot
Hydrol. Earth Syst. Sci., 28, 2579–2601, https://doi.org/10.5194/hess-28-2579-2024, https://doi.org/10.5194/hess-28-2579-2024, 2024
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The increase in precipitation as a function of elevation is poorly understood in areas with complex topography. In this article, the reproduction of these orographic gradients is assessed with several precipitation products. The best product is a simulation from a convection-permitting regional climate model. The corresponding seasonal gradients vary significantly in space, with higher values for the first topographical barriers exposed to the dominant air mass circulations.
Caroline Legrand, Benoît Hingray, Bruno Wilhelm, and Martin Ménégoz
Hydrol. Earth Syst. Sci., 28, 2139–2166, https://doi.org/10.5194/hess-28-2139-2024, https://doi.org/10.5194/hess-28-2139-2024, 2024
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Climate change is expected to increase flood hazard worldwide. The evolution is typically estimated from multi-model chains, where regional hydrological scenarios are simulated from weather scenarios derived from coarse-resolution atmospheric outputs of climate models. We show that two such chains are able to reproduce, from an atmospheric reanalysis, the 1902–2009 discharge variations and floods of the upper Rhône alpine river, provided that the weather scenarios are bias-corrected.
Nenghan Wan, Xiaomao Lin, Roger A. Pielke Sr., Xubin Zeng, and Amanda M. Nelson
Hydrol. Earth Syst. Sci., 28, 2123–2137, https://doi.org/10.5194/hess-28-2123-2024, https://doi.org/10.5194/hess-28-2123-2024, 2024
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Global warming occurs at a rate of 0.21 K per decade, resulting in about 9.5 % K−1 of water vapor response to temperature from 1993 to 2021. Terrestrial areas experienced greater warming than the ocean, with a ratio of 2 : 1. The total precipitable water change in response to surface temperature changes showed a variation around 6 % K−1–8 % K−1 in the 15–55° N latitude band. Further studies are needed to identify the mechanisms leading to different water vapor responses.
Kyungmin Sung, Max C. A. Torbenson, and James H. Stagge
Hydrol. Earth Syst. Sci., 28, 2047–2063, https://doi.org/10.5194/hess-28-2047-2024, https://doi.org/10.5194/hess-28-2047-2024, 2024
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This study examines centuries of nonstationary trends in meteorological drought and pluvial climatology. A novel approach merges tree-ring proxy data (North American Seasonal Precipitation Atlas – NASPA) with instrumental precipitation datasets by temporally downscaling proxy data, correcting biases, and analyzing shared trends in normal and extreme precipitation anomalies. We identify regions experiencing recent unprecedented shifts towards drier or wetter conditions and shifts in seasonality.
Baoying Shan, Niko E. C. Verhoest, and Bernard De Baets
Hydrol. Earth Syst. Sci., 28, 2065–2080, https://doi.org/10.5194/hess-28-2065-2024, https://doi.org/10.5194/hess-28-2065-2024, 2024
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This study developed a convenient and new method to identify the occurrence of droughts, heatwaves, and co-occurring droughts and heatwaves (CDHW) across four seasons. Using this method, we could establish the start and/or end dates of drought (or heatwave) events. We found an increase in the frequency of heatwaves and CDHW events in Belgium caused by climate change. We also found that different months have different chances of CDHW events.
Georgina M. Falster, Nicky M. Wright, Nerilie J. Abram, Anna M. Ukkola, and Benjamin J. Henley
Hydrol. Earth Syst. Sci., 28, 1383–1401, https://doi.org/10.5194/hess-28-1383-2024, https://doi.org/10.5194/hess-28-1383-2024, 2024
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Multi-year droughts have severe environmental and economic impacts, but the instrumental record is too short to characterise multi-year drought variability. We assessed the nature of Australian multi-year droughts using simulations of the past millennium from 11 climate models. We show that multi-decadal
megadroughtsare a natural feature of the Australian hydroclimate. Human-caused climate change is also driving a tendency towards longer droughts in eastern and southwestern Australia.
Peng Huang, Agnès Ducharne, Lucia Rinchiuso, Jan Polcher, Laure Baratgin, Vladislav Bastrikov, and Eric Sauquet
EGUsphere, https://doi.org/10.5194/egusphere-2024-445, https://doi.org/10.5194/egusphere-2024-445, 2024
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We conducted a high-resolution hydrological simulation from 1959 to 2020 across France. We used a simple trial-and-error calibration to reduce the biases of the simulated water budget compared to observations. The selected simulation satisfactorily reproduces water fluxes, including their spatial contrasts and temporal trends. This work offers a thorough historical overview of water resources and a robust configuration for climate change impact analysis at the nationwide scale of France.
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.
Qi Sun, Patrick Olschewski, Jianhui Wei, Zhan Tian, Laixiang Sun, Harald Kunstmann, and Patrick Laux
Hydrol. Earth Syst. Sci., 28, 761–780, https://doi.org/10.5194/hess-28-761-2024, https://doi.org/10.5194/hess-28-761-2024, 2024
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Tropical cyclones (TCs) often cause high economic loss due to heavy winds and rainfall, particularly in densely populated regions such as the Pearl River Delta (China). This study provides a reference to set up regional climate models for TC simulations. They contribute to a better TC process understanding and assess the potential changes and risks of TCs in the future. This lays the foundation for hydrodynamical modelling, from which the cities' disaster management and defence could benefit.
Simon Parry, Jonathan D. Mackay, Thomas Chitson, Jamie Hannaford, Eugene Magee, Maliko Tanguy, Victoria A. Bell, Katie Facer-Childs, Alison Kay, Rosanna Lane, Robert J. Moore, Stephen Turner, and John Wallbank
Hydrol. Earth Syst. Sci., 28, 417–440, https://doi.org/10.5194/hess-28-417-2024, https://doi.org/10.5194/hess-28-417-2024, 2024
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We studied drought in a dataset of possible future river flows and groundwater levels in the UK and found different outcomes for these two sources of water. Throughout the UK, river flows are likely to be lower in future, with droughts more prolonged and severe. However, whilst these changes are also found in some boreholes, in others, higher levels and less severe drought are indicated for the future. This has implications for the future balance between surface water and groundwater below.
Francesco Marra, Marika Koukoula, Antonio Canale, and Nadav Peleg
Hydrol. Earth Syst. Sci., 28, 375–389, https://doi.org/10.5194/hess-28-375-2024, https://doi.org/10.5194/hess-28-375-2024, 2024
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We present a new physical-based method for estimating extreme sub-hourly precipitation return levels (i.e., intensity–duration–frequency, IDF, curves), which are critical for the estimation of future floods. The proposed model, named TENAX, incorporates temperature as a covariate in a physically consistent manner. It has only a few parameters and can be easily set for any climate station given sub-hourly precipitation and temperature data are available.
Amy Charlotte Green, Chris G. Kilsby, and András Bárdossy
EGUsphere, https://doi.org/10.5194/egusphere-2024-26, https://doi.org/10.5194/egusphere-2024-26, 2024
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Weather radar is a crucial tool in rainfall estimation, but radar rainfall estimates are subject to many error sources, with the true rainfall field unknown. A flexible model for simulating errors relating to the radar rainfall estimation process is implemented, inverting standard processing methods. This flexible and efficient model performs well at generating realistic weather radar images visually, for a large range of event types.
He Sun, Tandong Yao, Fengge Su, Wei Yang, and Deliang Chen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-11, https://doi.org/10.5194/hess-2024-11, 2024
Revised manuscript accepted for HESS
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Our findings revealed runoff generation is dominated by rainfall runoff in the YZ, and the largest glacier runoff contribution is in the downstream sub-basin. Annual runoff trends indicate an increase in the NX but a decrease in the NX-BXK for 1971–2020, due to contrasting precipitation changes. Total runoff across the sub-basins will consistently increase through the 21st century, mostly resulting from increased rainfall runoff.
Louise Arnal, Martyn P. Clark, Alain Pietroniro, Vincent Vionnet, David R. Casson, Paul H. Whitfield, Vincent Fortin, Andrew W. Wood, Wouter J. M. Knoben, Brandi W. Newton, and Colleen Walford
EGUsphere, https://doi.org/10.5194/egusphere-2023-3040, https://doi.org/10.5194/egusphere-2023-3040, 2024
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Forecasting river flows months in advance is crucial for many water sectors and society. In N. America, snowmelt is a key driver of river flow. This study presents a statistical workflow using snow data to forecast flows months ahead in N. American snow-fed rivers. Variations in predictability across the continent are evident, raising concerns about future river flow predictability amid a changing (snow) climate. The reproducible workflow hosted on GitHub supports collaborative and open science.
Alexander Gelfan, Andrey Panin, Andrey Kalugin, Polina Morozova, Vladimir Semenov, Alexey Sidorchuk, Vadim Ukraintsev, and Konstantin Ushakov
Hydrol. Earth Syst. Sci., 28, 241–259, https://doi.org/10.5194/hess-28-241-2024, https://doi.org/10.5194/hess-28-241-2024, 2024
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Paleogeographical data show that 17–13 ka BP, the Caspian Sea level was 80 m above the current level. There are large disagreements on the genesis of this “Great” Khvalynian transgression of the sea, and we tried to shed light on this issue. Using climate and hydrological models as well as the paleo-reconstructions, we proved that the transgression could be initiated solely by hydroclimatic factors within the deglaciation period in the absence of the glacial meltwater effect.
Joeri B. Reinders and Samuel E. Munoz
Hydrol. Earth Syst. Sci., 28, 217–227, https://doi.org/10.5194/hess-28-217-2024, https://doi.org/10.5194/hess-28-217-2024, 2024
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Flooding presents a major hazard for people and infrastructure along waterways; however, it is challenging to study the likelihood of a flood magnitude occurring regionally due to a lack of long discharge records. We show that hydroclimatic variables like Köppen climate regions and precipitation intensity explain part of the variance in flood frequency distributions and thus reduce the uncertainty of flood probability estimates. This gives water managers a tool to locally improve flood analysis.
Mehrad Rahimpour Asenjan, Francois Brissette, Jean-Luc Martel, and Richard Arsenault
Hydrol. Earth Syst. Sci., 27, 4355–4367, https://doi.org/10.5194/hess-27-4355-2023, https://doi.org/10.5194/hess-27-4355-2023, 2023
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Climate models are central to climate change impact studies. Some models project a future deemed too hot by many. We looked at how including hot models may skew the result of impact studies. Applied to hydrology, this study shows that hot models do not systematically produce hydrological outliers.
Ross Pidoto and Uwe Haberlandt
Hydrol. Earth Syst. Sci., 27, 3957–3975, https://doi.org/10.5194/hess-27-3957-2023, https://doi.org/10.5194/hess-27-3957-2023, 2023
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Long continuous time series of meteorological variables (i.e. rainfall, temperature) are required for the modelling of floods. Observed time series are generally too short or not available. Weather generators are models that reproduce observed weather time series. This study extends an existing station-based rainfall model into space by enforcing observed spatial rainfall characteristics. To model other variables (i.e. temperature) the model is then coupled to a simple resampling approach.
Kajsa Maria Parding, Rasmus Emil Benestad, Anita Verpe Dyrrdal, and Julia Lutz
Hydrol. Earth Syst. Sci., 27, 3719–3732, https://doi.org/10.5194/hess-27-3719-2023, https://doi.org/10.5194/hess-27-3719-2023, 2023
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Intensity–duration–frequency (IDF) curves describe the likelihood of extreme rainfall and are used in hydrology and engineering, for example, for flood forecasting and water management. We develop a model to estimate IDF curves from daily meteorological observations, which are more widely available than the observations on finer timescales (minutes to hours) that are needed for IDF calculations. The method is applied to all data at once, making it efficient and robust to individual errors.
Kaltrina Maloku, Benoit Hingray, and Guillaume Evin
Hydrol. Earth Syst. Sci., 27, 3643–3661, https://doi.org/10.5194/hess-27-3643-2023, https://doi.org/10.5194/hess-27-3643-2023, 2023
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High-resolution precipitation data, needed for many applications in hydrology, are typically rare. Such data can be simulated from daily precipitation with stochastic disaggregation. In this work, multiplicative random cascades are used to disaggregate time series of 40 min precipitation from daily precipitation for 81 Swiss stations. We show that very relevant statistics of precipitation are obtained when precipitation asymmetry is accounted for in a continuous way in the cascade generator.
Peter E. Levy and the COSMOS-UK team
EGUsphere, https://doi.org/10.5194/egusphere-2023-2041, https://doi.org/10.5194/egusphere-2023-2041, 2023
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Having accurate up-to-date maps of soil moisture is important for many purposes. However, current modelled and remotely-sensed maps are rather coarse and not very accurate. Here, we demonstrate a simple but accurate approach which is closely linked to direct measurements of soil moisture at a network sites across the UK, and to the water balance (precipitation minus drainage and evaporation) measured at a large number of catchments (1212), as well as to remotely-sensed satellite estimates.
Theresa Boas, Heye Reemt Bogena, Dongryeol Ryu, Harry Vereecken, Andrew Western, and Harrie-Jan Hendricks Franssen
Hydrol. Earth Syst. Sci., 27, 3143–3167, https://doi.org/10.5194/hess-27-3143-2023, https://doi.org/10.5194/hess-27-3143-2023, 2023
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In our study, we tested the utility and skill of a state-of-the-art forecasting product for the prediction of regional crop productivity using a land surface model. Our results illustrate the potential value and skill of combining seasonal forecasts with modelling applications to generate variables of interest for stakeholders, such as annual crop yield for specific cash crops and regions. In addition, this study provides useful insights for future technical model evaluations and improvements.
Yuanhong You, Chunlin Huang, Zuo Wang, Jinliang Hou, Ying Zhang, and Peipei Xu
Hydrol. Earth Syst. Sci., 27, 2919–2933, https://doi.org/10.5194/hess-27-2919-2023, https://doi.org/10.5194/hess-27-2919-2023, 2023
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This study aims to investigate the performance of a genetic particle filter which was used as a snow data assimilation scheme across different snow climates. The results demonstrated that the genetic algorithm can effectively solve the problem of particle degeneration and impoverishment in a particle filter algorithm. The system has revealed a low sensitivity to the particle number in point-scale application of the ground snow depth measurement.
Patricia Lawston-Parker, Joseph A. Santanello Jr., and Nathaniel W. Chaney
Hydrol. Earth Syst. Sci., 27, 2787–2805, https://doi.org/10.5194/hess-27-2787-2023, https://doi.org/10.5194/hess-27-2787-2023, 2023
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Irrigation has been shown to impact weather and climate, but it has only recently been considered in prediction models. Prescribing where (globally) irrigation takes place is important to accurately simulate its impacts on temperature, humidity, and precipitation. Here, we evaluated three different irrigation maps in a weather model and found that the extent and intensity of irrigated areas and their boundaries are important drivers of weather impacts resulting from human practices.
Marcos Julien Alexopoulos, Hannes Müller-Thomy, Patrick Nistahl, Mojca Šraj, and Nejc Bezak
Hydrol. Earth Syst. Sci., 27, 2559–2578, https://doi.org/10.5194/hess-27-2559-2023, https://doi.org/10.5194/hess-27-2559-2023, 2023
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For rainfall-runoff simulation of a certain area, hydrological models are used, which requires precipitation data and temperature data as input. Since these are often not available as observations, we have tested simulation results from atmospheric models. ERA5-Land and COSMO-REA6 were tested for Slovenian catchments. Both lead to good simulations results. Their usage enables the use of rainfall-runoff simulation in unobserved catchments as a requisite for, e.g., flood protection measures.
Tuantuan Zhang, Zhongmin Liang, Wentao Li, Jun Wang, Yiming Hu, and Binquan Li
Hydrol. Earth Syst. Sci., 27, 1945–1960, https://doi.org/10.5194/hess-27-1945-2023, https://doi.org/10.5194/hess-27-1945-2023, 2023
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We use circulation classifications and spatiotemporal deep neural networks to correct raw daily forecast precipitation by combining large-scale circulation patterns with local spatiotemporal information. We find that the method not only captures the westward and northward movement of the western Pacific subtropical high but also shows substantially higher bias-correction capabilities than existing standard methods in terms of spatial scale, timescale, and intensity.
Zeyu Xue, Paul Ullrich, and Lai-Yung Ruby Leung
Hydrol. Earth Syst. Sci., 27, 1909–1927, https://doi.org/10.5194/hess-27-1909-2023, https://doi.org/10.5194/hess-27-1909-2023, 2023
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We examine the sensitivity and robustness of conclusions drawn from the PGW method over the NEUS by conducting multiple PGW experiments and varying the perturbation spatial scales and choice of perturbed meteorological variables to provide a guideline for this increasingly popular regional modeling method. Overall, we recommend PGW experiments be performed with perturbations to temperature or the combination of temperature and wind at the gridpoint scale, depending on the research question.
Louise J. Slater, Louise Arnal, Marie-Amélie Boucher, Annie Y.-Y. Chang, Simon Moulds, Conor Murphy, Grey Nearing, Guy Shalev, Chaopeng Shen, Linda Speight, Gabriele Villarini, Robert L. Wilby, Andrew Wood, and Massimiliano Zappa
Hydrol. Earth Syst. Sci., 27, 1865–1889, https://doi.org/10.5194/hess-27-1865-2023, https://doi.org/10.5194/hess-27-1865-2023, 2023
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Hybrid forecasting systems combine data-driven methods with physics-based weather and climate models to improve the accuracy of predictions for meteorological and hydroclimatic events such as rainfall, temperature, streamflow, floods, droughts, tropical cyclones, or atmospheric rivers. We review recent developments in hybrid forecasting and outline key challenges and opportunities in the field.
Zexuan Xu, Erica R. Siirila-Woodburn, Alan M. Rhoades, and Daniel Feldman
Hydrol. Earth Syst. Sci., 27, 1771–1789, https://doi.org/10.5194/hess-27-1771-2023, https://doi.org/10.5194/hess-27-1771-2023, 2023
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The goal of this study is to understand the uncertainties of different modeling configurations for simulating hydroclimate responses in the mountainous watershed. We run a group of climate models with various configurations and evaluate them against various reference datasets. This paper integrates a climate model and a hydrology model to have a full understanding of the atmospheric-through-bedrock hydrological processes.
Jolanda J. E. Theeuwen, Arie Staal, Obbe A. Tuinenburg, Bert V. M. Hamelers, and Stefan C. Dekker
Hydrol. Earth Syst. Sci., 27, 1457–1476, https://doi.org/10.5194/hess-27-1457-2023, https://doi.org/10.5194/hess-27-1457-2023, 2023
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Evaporation changes over land affect rainfall over land via moisture recycling. We calculated the local moisture recycling ratio globally, which describes the fraction of evaporated moisture that rains out within approx. 50 km of its source location. This recycling peaks in summer as well as over wet and elevated regions. Local moisture recycling provides insight into the local impacts of evaporation changes and can be used to study the influence of regreening on local rainfall.
Eleonora Dallan, Francesco Marra, Giorgia Fosser, Marco Marani, Giuseppe Formetta, Christoph Schär, and Marco Borga
Hydrol. Earth Syst. Sci., 27, 1133–1149, https://doi.org/10.5194/hess-27-1133-2023, https://doi.org/10.5194/hess-27-1133-2023, 2023
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Convection-permitting climate models could represent future changes in extreme short-duration precipitation, which is critical for risk management. We use a non-asymptotic statistical method to estimate extremes from 10 years of simulations in an orographically complex area. Despite overall good agreement with rain gauges, the observed decrease of hourly extremes with elevation is not fully represented by the model. Climate model adjustment methods should consider the role of orography.
Bora Shehu, Winfried Willems, Henrike Stockel, Luisa-Bianca Thiele, and Uwe Haberlandt
Hydrol. Earth Syst. Sci., 27, 1109–1132, https://doi.org/10.5194/hess-27-1109-2023, https://doi.org/10.5194/hess-27-1109-2023, 2023
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Rainfall volumes at varying duration and frequencies are required for many engineering water works. These design volumes have been provided by KOSTRA-DWD in Germany. However, a revision of the KOSTRA-DWD is required, in order to consider the recent state-of-the-art and additional data. For this purpose, in our study, we investigate different methods and data available to achieve the best procedure that will serve as a basis for the development of the new KOSTRA-DWD product.
Sandra M. Hauswirth, Marc F. P. Bierkens, Vincent Beijk, and Niko Wanders
Hydrol. Earth Syst. Sci., 27, 501–517, https://doi.org/10.5194/hess-27-501-2023, https://doi.org/10.5194/hess-27-501-2023, 2023
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Forecasts on water availability are important for water managers. We test a hybrid framework based on machine learning models and global input data for generating seasonal forecasts. Our evaluation shows that our discharge and surface water level predictions are able to create reliable forecasts up to 2 months ahead. We show that a hybrid framework, developed for local purposes and combined and rerun with global data, can create valuable information similar to large-scale forecasting models.
Richard Arsenault, Jean-Luc Martel, Frédéric Brunet, François Brissette, and Juliane Mai
Hydrol. Earth Syst. Sci., 27, 139–157, https://doi.org/10.5194/hess-27-139-2023, https://doi.org/10.5194/hess-27-139-2023, 2023
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Predicting flow in rivers where no observation records are available is a daunting task. For decades, hydrological models were set up on these gauges, and their parameters were estimated based on the hydrological response of similar or nearby catchments where records exist. New developments in machine learning have now made it possible to estimate flows at ungauged locations more precisely than with hydrological models. This study confirms the performance superiority of machine learning models.
Shaun Harrigan, Ervin Zsoter, Hannah Cloke, Peter Salamon, and Christel Prudhomme
Hydrol. Earth Syst. Sci., 27, 1–19, https://doi.org/10.5194/hess-27-1-2023, https://doi.org/10.5194/hess-27-1-2023, 2023
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Real-time river discharge forecasts and reforecasts from the Global Flood Awareness System (GloFAS) have been made publicly available, together with an evaluation of forecast skill at the global scale. Results show that GloFAS is skillful in over 93 % of catchments in the short (1–3 d) and medium range (5–15 d) and skillful in over 80 % of catchments in the extended lead time (16–30 d). Skill is summarised in a new layer on the GloFAS Web Map Viewer to aid decision-making.
Ying Li, Chenghao Wang, Ru Huang, Denghua Yan, Hui Peng, and Shangbin Xiao
Hydrol. Earth Syst. Sci., 26, 6413–6426, https://doi.org/10.5194/hess-26-6413-2022, https://doi.org/10.5194/hess-26-6413-2022, 2022
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Spatial quantification of oceanic moisture contribution to the precipitation over the Tibetan Plateau (TP) contributes to the reliable assessments of regional water resources and the interpretation of paleo archives in the region. Based on atmospheric reanalysis datasets and numerical moisture tracking, this work reveals the previously underestimated oceanic moisture contributions brought by the westerlies in winter and the overestimated moisture contributions from the Indian Ocean in summer.
Urmin Vegad and Vimal Mishra
Hydrol. Earth Syst. Sci., 26, 6361–6378, https://doi.org/10.5194/hess-26-6361-2022, https://doi.org/10.5194/hess-26-6361-2022, 2022
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Floods cause enormous damage to infrastructure and agriculture in India. However, the utility of ensemble meteorological forecast for hydrologic prediction has not been examined. Moreover, Indian river basins have a considerable influence of reservoirs that alter the natural flow variability. We developed a hydrologic modelling-based streamflow prediction considering the influence of reservoirs in India.
Camille Labrousse, Wolfgang Ludwig, Sébastien Pinel, Mahrez Sadaoui, Andrea Toreti, and Guillaume Lacquement
Hydrol. Earth Syst. Sci., 26, 6055–6071, https://doi.org/10.5194/hess-26-6055-2022, https://doi.org/10.5194/hess-26-6055-2022, 2022
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The interest of this study is to demonstrate that we identify two zones in our study area whose hydroclimatic behaviours are uneven. By investigating relationships between the hydroclimatic conditions in both clusters for past observations with the overall atmospheric functioning, we show that the inequalities are mainly driven by a different control of the atmospheric teleconnection patterns over the area.
Daeha Kim, Minha Choi, and Jong Ahn Chun
Hydrol. Earth Syst. Sci., 26, 5955–5969, https://doi.org/10.5194/hess-26-5955-2022, https://doi.org/10.5194/hess-26-5955-2022, 2022
Short summary
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We proposed a practical method that predicts the evaporation rates on land surfaces (ET) where only atmospheric data are available. Using a traditional equation that describes partitioning of precipitation into ET and streamflow, we could approximately identify the key parameter of the predicting formulation based on land–atmosphere interactions. The simple method conditioned by local climates outperformed sophisticated models in reproducing water-balance estimates across Australia.
Ruksana H. Rimi, Karsten Haustein, Emily J. Barbour, Sarah N. Sparrow, Sihan Li, David C. H. Wallom, and Myles R. Allen
Hydrol. Earth Syst. Sci., 26, 5737–5756, https://doi.org/10.5194/hess-26-5737-2022, https://doi.org/10.5194/hess-26-5737-2022, 2022
Short summary
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Extreme rainfall events are major concerns in Bangladesh. Heavy downpours can cause flash floods and damage nearly harvestable crops in pre-monsoon season. While in monsoon season, the impacts can range from widespread agricultural loss, huge property damage, to loss of lives and livelihoods. This paper assesses the role of anthropogenic climate change drivers in changing risks of extreme rainfall events during pre-monsoon and monsoon seasons at local sub-regional-scale within Bangladesh.
Brigitta Simon-Gáspár, Gábor Soós, and Angela Anda
Hydrol. Earth Syst. Sci., 26, 4741–4756, https://doi.org/10.5194/hess-26-4741-2022, https://doi.org/10.5194/hess-26-4741-2022, 2022
Short summary
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Due to climate change, it is extremely important to determine evaporation as accurately as possible. In nature, there are sediments and macrophytes in the open waters; thus, one of the aims was to investigate their effect on evaporation. The second aim of this paper was to estimate daily evaporation by using different models, which, according to results, have high priority in the evaporation prediction. Water management can obtain useful information from the results of the current research.
Haiyang Shi, Geping Luo, Olaf Hellwich, Mingjuan Xie, Chen Zhang, Yu Zhang, Yuangang Wang, Xiuliang Yuan, Xiaofei Ma, Wenqiang Zhang, Alishir Kurban, Philippe De Maeyer, and Tim Van de Voorde
Hydrol. Earth Syst. Sci., 26, 4603–4618, https://doi.org/10.5194/hess-26-4603-2022, https://doi.org/10.5194/hess-26-4603-2022, 2022
Short summary
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There have been many machine learning simulation studies based on eddy-covariance observations for water flux and evapotranspiration. We performed a meta-analysis of such studies to clarify the impact of different algorithms and predictors, etc., on the reported prediction accuracy. It can, to some extent, guide future global water flux modeling studies and help us better understand the terrestrial ecosystem water cycle.
Yaozhi Jiang, Kun Yang, Hua Yang, Hui Lu, Yingying Chen, Xu Zhou, Jing Sun, Yuan Yang, and Yan Wang
Hydrol. Earth Syst. Sci., 26, 4587–4601, https://doi.org/10.5194/hess-26-4587-2022, https://doi.org/10.5194/hess-26-4587-2022, 2022
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Our study quantified the altitudinal precipitation gradients (PGs) over the Third Pole (TP). Most sub-basins in the TP have positive PGs, and negative PGs are found in the Himalayas, the Hengduan Mountains and the western Kunlun. PGs are positively correlated with wind speed but negatively correlated with relative humidity. In addition, PGs tend to be positive at smaller spatial scales compared to those at larger scales. The findings can assist precipitation interpolation in the data-sparse TP.
Francesca Carletti, Adrien Michel, Francesca Casale, Alice Burri, Daniele Bocchiola, Mathias Bavay, and Michael Lehning
Hydrol. Earth Syst. Sci., 26, 3447–3475, https://doi.org/10.5194/hess-26-3447-2022, https://doi.org/10.5194/hess-26-3447-2022, 2022
Short summary
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High Alpine catchments are dominated by the melting of seasonal snow cover and glaciers, whose amount and seasonality are expected to be modified by climate change. This paper compares the performances of different types of models in reproducing discharge among two catchments under present conditions and climate change. Despite many advantages, the use of simpler models for climate change applications is controversial as they do not fully represent the physics of the involved processes.
Cited articles
Addison, P. S.: The Illustrated Wavelet Transform Handbook: Introductory
Theory and Applications in Science, Engineering, Medicine and Finance,
Second Edition, CRC Press, Taylor & Francis Group, Boca Raton, Florida, USA, 2016.
Asong, Z. E., Khaliq, M. N., and Wheater, H. S.: Regionalization of
precipitation characteristics in the Canadian Prairie Provinces using
large-scale atmospheric covariates and geophysical attributes, Stoch. Env. Res. Risk A., 29, 875–892,
https://doi.org/10.1007/s00477-014-0918-z, 2015.
Asong, Z. E., Khaliq, M. N., and Wheater, H. S.: Multisite multivariate
modeling of daily precipitation and temperature in the Canadian Prairie
Provinces using generalized linear models, Clim. Dynam., 47, 2901–2921,
https://doi.org/10.1007/s00382-016-3004-z, 2016.
Asong, Z. E., Razavi, S., Wheater, H. S., and Wong, J. S.: Evaluation of
Integrated Multi-satellitE Retrievals for GPM (IMERG) over Southern Canada
against Ground Precipitation Observations: A Preliminary Assessment, J. Hydrometeorol., 18, 1033–1050, https://doi.org/10.1175/jhm-d-16-0187.1,
2017.
Barnston, A. G. and Livezey, R. E.: Classification, Seasonality and
Persistence of Low-Frequency Atmospheric Circulation Patterns, Mon. Weather Rev., 115, 1083–1126, https://doi.org/10.1175/1520-0493(1987)115<1083:csapol>2.0.co;2, 1987.
Beguería, S., Vicente-Serrano, S. M., Reig, F., and Latorre, B.:
Standardized precipitation evapotranspiration index (SPEI) revisited:
parameter fitting, evapotranspiration models, tools, datasets and drought
monitoring, Int. J. Climatol., 34, 3001–3023,
10.1002/joc.3887, 2014.
Bonsal, B. and Regier, M.: Historical comparison of the 2001/2002 drought in
the Canadian Prairies, Climate Res., 33, 229–242, 2007.
Bonsal, B. and Shabbar, A.: Impacts of large-scale circulation variability
on low streamflows over Canada: a review, Can. Water Resour. J.,
33, 137–154, 2008.
Bonsal, B., Zhang, X., and Hogg, W.: Canadian Prairie growing season
precipitation variability and associated atmospheric circulation, Climate Res., 11, 191–208, 1999.
Bonsal, B., Shabbar, A., and Higuchi, K.: Impacts of low frequency variability
modes on Canadian winter temperature, Int. J. Climatol.,
21, 95–108, https://doi.org/10.1002/joc.590, 2001.
Bonsal, B., Aider, R., Gachon, P., and Lapp, S.: An assessment of Canadian
prairie drought: past, present, and future, Clim. Dynam., 41, 501–516,
https://doi.org/10.1007/s00382-012-1422-0, 2013.
Bonsal, B. R., Wheaton, E. E., Meinert, A., and Siemens, E.: Characterizing
the Surface Features of the 1999–2005 Canadian Prairie Drought in Relation
to Previous Severe Twentieth Century Events, Atmos. Ocean., 49, 320–338,
https://doi.org/10.1080/07055900.2011.594024, 2011a.
Bonsal, B., Wheaton, E., Meinert, A., and Siemens, E.: Characterizing the
Surface Features of the 1999–2005 Canadian Prairie Drought in Relation to
Previous Severe Twentieth Century Events, Atmos. Ocean., 49, 320–338,
https://doi.org/10.1080/07055900.2011.594024, 2011b.
Brown, R. D. and Braaten, R. O.: Spatial and temporal variability of
Canadian monthly snow depths, 1946–1995, Atmos. Ocean., 36, 37–54,
https://doi.org/10.1080/07055900.1998.9649605, 1998.
Bryant, E. A.: Natural Hazards, University of Cambridge, Cambridge, UK, 2005.
Côté, J., Gravel, S., Méthot, A., Patoine, A., Roch, M., and
Staniforth, A.: The Operational CMC–MRB Global Environmental Multiscale
(GEM) Model. Part I: Design Considerations and Formulation, Mon. Weather Rev., 126, 1373–1395, https://doi.org/10.1175/1520-0493(1998)126<1373:tocmge>2.0.co;2, 1998.
Council of Canadian Academies: Water and Agriculture in Canada: Towards
Sustainable Management of Water Resources. Chapter 6–Building the
Foundation for Sustainable Management of Water in Agriculture, available at:
http://www.scienceadvice.ca/en/assessments/completed/water-agri.aspx (last access: 25 April 2018),
2013.
Dai, A.: Drought under global warming: a review, Wiley Interdisciplinary
Reviews: Climate Change, 2, 45–65, https://doi.org/10.1002/wcc.81, 2011.
Dibike, Y., Prowse, T., Bonsal, B., and O'Neil, H.: Implications of future
climate on water availability in the western Canadian river basins,
Int. J. Climatol., 37, 3247–3263, https://doi.org/10.1002/joc.4912, 2016.
Dibike, Y., Prowse, T., Bonsal, B., and O'Neil, H.: Implications of future
climate on water availability in the western Canadian river basins,
Int. J. Climatol., 37, 3247–3263, https://doi.org/10.1002/joc.4912, 2017.
Dracup, J. A., Lee, K. S., and Paulson, E. G.: On the definition of
droughts, Water Resour. Res., 16, 297–302, https://doi.org/10.1029/WR016i002p00297,
1980.
Enfield, D. B., Mestas-Nuñez, A. M., and Trimble, P. J.: The Atlantic
Multidecadal Oscillation and its relation to rainfall and river flows in the
continental U.S, Geophys. Res. Let., 28, 2077–2080,
https://doi.org/10.1029/2000GL012745, 2001.
Environment and Climate Change Canada: Canadian Gridded Temperature and Precipitation Anomalies
CANGRD, available at:
https://open.canada.ca/data/en/dataset/3d4b68a5-13bc-48bb-ad10-801128aa6604,
last access: 25 April 2018.
Fleming, S. W. and Quilty, E. J.: Aquifer Responses to El
Niño–Southern Oscillation, Southwest British Columbia, Ground Water,
44, 595–599, https://doi.org/10.1111/j.1745-6584.2006.00187.x, 2006.
Fugal, D. L.: Conceptual Wavelets in Digital Signal Processing: An In-depth,
Practical Approach for the Non-mathematician, Space & Signals Technical
Pub., University of California, USA, 2009.
Gan, T. Y., Gobena, A. K., and Wang, Q.: Precipitation of southwestern
Canada: Wavelet, scaling, multifractal analysis, and teleconnection to
climate anomalies, J. Geophys. Res.-Atmos., 112, D10110, https://doi.org/10.1029/2006JD007157, 2007.
Gandin, L. S.: Objective analysis of meteorological fields. By L. S. Gandin.
Translated from the Russian. Jerusalem (Israel Program for Scientific
Translations), 1965. Pp. vi, 242: 53 Figures; 28 Tables. £4 1s.
0d, Q. J. Roy. Meteor. Soc., 92, 447–447,
https://doi.org/10.1002/qj.49709239320, 1966.
Gobena, A. K. and Gan, T. Y.: Low-frequency variability in Southwestern
Canadian stream flow: links with large-scale climate anomalies,
Int. J. Climatol., 26, 1843–1869, https://doi.org/10.1002/joc.1336, 2006.
Grinsted, A., Moore, J. C., and Jevrejeva, S.: Application of the cross
wavelet transform and wavelet coherence to geophysical time series, Nonlin.
Processes Geophys., 11, 561–566, https://doi.org/10.5194/npg-11-561-2004, 2004.
Hamed, K. H. and Rao, R. A.: A modified Mann-Kendall trend test for
autocorrelated data, J. Hydrol., 204, 182–196, https://doi.org/10.1016/S0022-1694(97)00125-X, 1998.
Hannachi, A., Jolliffe, I. T., and Stephenson, D. B.: Empirical orthogonal
functions and related techniques in atmospheric science: A review,
Int. J. Climatol., 27, 1119–1152, https://doi.org/10.1002/joc.1499, 2007.
Hao, Z. and AghaKouchak, A.: Multivariate Standardized Drought Index: A
parametric multi-index model, Adv. Water Resour., 57, 12–18,
https://doi.org/10.1016/j.advwatres.2013.03.009, 2013.
Hao, Y., Liu, G., Li, H., Li, Z., Zhao, J., and J. Yeh, T.-C.: Investigation
of karstic hydrological processes of Niangziguan Springs (North China) using
wavelet analysis, Hydrol. Process., 26, 3062–3069, https://doi.org/10.1002/hyp.8265,
2012.
Hargreaves, G. H.: Defining and Using Reference Evapotranspiration, J. Irrig. Drain. E., 120, 1132–1139,
https://doi.org/10.1061/(ASCE)0733-9437(1994)120:6(1132), 1994.
Hargreaves, G. L., Hargreaves, G. H., and Riley, J. P.: Agricultural
Benefits for Senegal River Basin, J. Irrig. Drain. E., 111, 113–124, https://doi.org/10.1061/(ASCE)0733-9437(1985)111:2(113),
1985.
Hayes, M., Svoboda, M., Wall, N., and Widhalm, M.: The Lincoln Declaration
on Drought Indices: Universal Meteorological Drought Index Recommended,
B. Am. Meteorol. Soc., 92, 485–488, https://doi.org/10.1175/2010bams3103.1, 2011.
Hogg, E. H., Price, D. T., and Black, T. A.: Postulated Feedbacks of
Deciduous Forest Phenology on Seasonal Climate Patterns in the Western
Canadian Interior, J. Climate, 13, 4229–4243, https://doi.org/10.1175/1520-0442(2000)013<4229:pfodfp>2.0.co;2, 2000.
Hopkinson, R. F., McKenney, D. W., Milewska, E. J., Hutchinson, M. F.,
Papadopol, P., and Vincent, L. A.: Impact of Aligning Climatological Day on
Gridding Daily Maximum–Minimum Temperature and Precipitation over Canada,
J. Appl. Meteorol. Clim., 50, 1654–1665,
https://doi.org/10.1175/2011jamc2684.1, 2011.
Hurrell, J. W. and Van Loon, H.: Decadal Variations In Climate Associated
With The North Atlantic Oscillation, Climatic Change, 36, 301–326,
https://doi.org/10.1023/a:1005314315270, 1997.
Hutchinson, M. F., McKenney, D. W., Lawrence, K., Pedlar, J. H., Hopkinson,
R. F., Milewska, E., and Papadopol, P.: Development and Testing of
Canada-Wide Interpolated Spatial Models of Daily Minimum–Maximum
Temperature and Precipitation for 1961–2003, J. Appl. Meteorol. Clim., 48, 725–741, https://doi.org/10.1175/2008jamc1979.1, 2009.
IPCC: Climate Change 2013: The Physical Science Basis. Contribution of
Working Group I to the Fifth Assessment Report of the Intergovernmental
Panel on Climate Change, Cambridge University Press, Cambridge, UK and New York, NY, USA, 1535 pp., 2013.
Jiang, R., Gan, T. Y., Xie, J., and Wang, N.: Spatiotemporal variability of
Alberta's seasonal precipitation, their teleconnection with large-scale
climate anomalies and sea surface temperature, Int. J. Climatol., 34, 2899–2917, https://doi.org/10.1002/joc.3883, 2014.
Maidment, D. R.: Handbook of hydrology, McGraw-Hill, New York, 1993.
Mantua, N. J. and Hare, S. R.: The Pacific Decadal Oscillation, J. Oceanogr., 58, 35–44, https://doi.org/10.1023/a:1015820616384, 2002.
Masud, M. B., Khaliq, M. N., and Wheater, H. S.: Analysis of meteorological
droughts for the Saskatchewan River Basin using univariate and bivariate
approaches, J. Hydrol., 522, 452–466, https://doi.org/10.1016/j.jhydrol.2014.12.058, 2015.
Masud, M. B., Khaliq, M. N., and Wheater, H. S.: Future changes to drought
characteristics over the Canadian Prairie Provinces based on NARCCAP
multi-RCM ensemble, Clim. Dynam., 48, 2685–2705,
https://doi.org/10.1007/s00382-016-3232-2, 2017.
McKee, T., Doesken, N., and Kleist, J.: The Relationship of Drought
Frequency and Duration to Time Scales. Paper Presented at 8th Conference on
Applied Climatology, American Meteorological Society: Anaheim, CA, 1993.
McKenney, D. W., Hutchinson, M. F., Papadopol, P., Lawrence, K., Pedlar, J.,
Campbell, K., Milewska, E., Hopkinson, R. F., Price, D., and Owen, T.:
Customized Spatial Climate Models for North America, B. Am. Meteorol. Soc., 92, 1611–1622, https://doi.org/10.1175/2011bams3132.1,
2011.
McMahon, T. A., Peel, M. C., Lowe, L., Srikanthan, R., and McVicar, T. R.:
Estimating actual, potential, reference crop and pan evaporation using
standard meteorological data: a pragmatic synthesis, Hydrol. Earth Syst.
Sci., 17, 1331–1363, https://doi.org/10.5194/hess-17-1331-2013, 2013.
Mekis, É. and Vincent, L. A.: An Overview of the Second Generation
Adjusted Daily Precipitation Dataset for Trend Analysis in Canada,
Atmos. Ocean., 49, 163–177, https://doi.org/10.1080/07055900.2011.583910, 2011.
Mishra, A. K. and Singh, V. P.: A review of drought concepts, J. Hydrol., 391, 202–216, https://doi.org/10.1016/j.jhydrol.2010.07.012, 2010.
Mishra, A. K. and Singh, V. P.: Drought modeling–A review, J. Hydrol., 403, 157–175, https://doi.org/10.1016/j.jhydrol.2011.03.049, 2011.
Natural Resources Canada: ANUSPLIN data, available at:
https://cfs.nrcan.gc.ca/projects/3/3, last access: 25 April
2018.
Nazemi, A., Wheater, H. S., Chun, K. P., Bonsal, B., and Mekonnen, M.: Forms
and drivers of annual streamflow variability in the headwaters of Canadian
Prairies during the 20th century, Hydrol. Process., 31, 221–239,
https://doi.org/10.1002/hyp.11036, 2017.
Ng, E. K. and Chan, J. C.: Geophysical applications of partial wavelet
coherence and multiple wavelet coherence, J. Atmos. Ocean Tech., 29, 1845–1853, 2012.
North, G. R., Bell, T. L., Cahalan, R. F., and Moeng, F. J.: Sampling Errors
in the Estimation of Empirical Orthogonal Functions, Mon. Weather Rev.,
110, 699–706, https://doi.org/10.1175/1520-0493(1982)110<0699:seiteo>2.0.co;2, 1982.
Palmer, W.: Meteorological drought, Research Paper No. 45. U.S. Weather
Bureau, NOAA Library and Information Services Division, Washington, D.C. 20852, 1–25, 1965.
Penman, H. L.: Natural evaporation from open water, bare soil and grass,
P. Roy. Soc. Lon. A. Mat., 193, 120–145, https://doi.org/10.1098/rspa.1948.0037, 1948.
Perez-Valdivia, C., Sauchyn, D., and Vanstone, J.: Groundwater levels and
teleconnection patterns in the Canadian Prairies, Water Resour. Res.,
48, W07516, https://doi.org/10.1029/2011WR010930, 2012.
Pomeroy, J. W., Fang, X., and Marks, D. G.: The cold rain-on-snow event of
June 2013 in the Canadian Rockies – characteristics and diagnosis,
Hydrol. Process., 30, 2899–2914, https://doi.org/10.1002/hyp.10905, 2016.
Preisendorfer, R. W. and Mobley, C. D.: Principal component analysis in
meteorology and oceanography, Elsevier, Amsterdam, 1988.
Priestley, C. H. B. and Taylor, R. J.: On the Assessment of Surface Heat
Flux and Evaporation Using Large-Scale Parameters, Mon. Weather Rev.,
100, 81–92, https://doi.org/10.1175/1520-0493(1972)100<0081:otaosh>2.3.co;2, 1972.
Raible, C. C., Bärenbold, O., and Gómez-navarro, J. J.: Drought
indices revisited–improving and testing of drought indices in a
simulation of the last two millennia for Europe, Tellus A, 69, 1287492, https://doi.org/10.1080/16000870.2017.1296226,
2017.
Razavi, S. and Vogel, R.: Prewhitening of hydroclimatic time series?
Implications for inferred change and variability across time scales, J. Hydrol., 557, 109–115, https://doi.org/10.1016/j.jhydrol.2017.11.053, 2018.
Richman, M. B.: Rotation of principal components, J. Climatol., 6,
293–335, https://doi.org/10.1002/joc.3370060305, 1986.
Ropelewski, C. F. and Halpert, M. S.: North American Precipitation and
Temperature Patterns Associated with the El Niño/Southern Oscillation
(ENSO), Mon. Weather Rev., 114, 2352–2362, https://doi.org/10.1175/1520-0493(1986)114<2352:napatp>2.0.co;2, 1986.
Shabbar, A. and Khandekar, M.: The impact of el Nino-Southern oscillation
on the temperature field over Canada: Research note, Atmos. Ocean., 34,
401–416, https://doi.org/10.1080/07055900.1996.9649570, 1996.
Shabbar, A. and Skinner, W.: Summer Drought Patterns in Canada and the
Relationship toGlobal Sea Surface Temperatures, J. Climate, 17,
2866–2880, https://doi.org/10.1175/1520-0442(2004)017<2866:sdpica>2.0.co;2, 2004.
Shabbar, A. and Yu, B.: Intraseasonal Canadian Winter Temperature Responses
to Interannual and Interdecadal Pacific SST Modulations, Atmos. Ocean.,
50, 109–121, https://doi.org/10.1080/07055900.2012.657154, 2012.
Sheffield, J., Andreadis, K. M., Wood, E. F., and Lettenmaier, D. P.: Global
and Continental Drought in the Second Half of the Twentieth Century:
Severity–Area–Duration Analysis and Temporal Variability of Large-Scale
Events, J. Climate, 22, 1962–1981, https://doi.org/10.1175/2008jcli2722.1, 2009.
Sheffield, J., Wood, E. F., and Roderick, M. L.: Little change in global
drought over the past 60 years, Nature, 491, 435, https://doi.org/10.1038/nature11575, 2012.
Sheridan, S. C.: North American weather-type frequency and teleconnection
indices, Int. J. Climatol., 23, 27–45, 2003.
Sternberg, T.: Regional drought has a global impact, Nature, 472, 169–169,
2011.
Szeto, K., Zhang, X., White, R. E., and Brimelow, J.: The 2015 Extreme
Drought in Western Canada, B. Am. Meteorol. Soc.,
97, S42–S46, https://doi.org/10.1175/bams-d-16-0147.1, 2016.
Tallaksen, L. M. and Stahl, K.: Spatial and temporal patterns of
large-scale droughts in Europe: Model dispersion and performance,
Geophys. Res. Let., 41, 429–434, https://doi.org/10.1002/2013GL058573, 2014.
Thornthwaite, C. W.: An Approach toward a Rational Classification of
Climate, Geogr. Rev., 38, 55–94, https://doi.org/10.2307/210739, 1948.
Torrence, C. and Compo, G. P.: A Practical Guide to Wavelet Analysis,
B. Am. Meteorol. Soc., 79, 61–78, https://doi.org/10.1175/1520-0477(1998)079<0061:apgtwa>2.0.co;2, 1998.
Torrence, C. and Webster, P. J.: Interdecadal Changes in the ENSO–Monsoon
System, J. Climate, 12, 2679–2690, https://doi.org/10.1175/1520-0442(1999)012<2679:icitem>2.0.co;2, 1999.
Tremblay, L., Larocque, M., Anctil, F., and Rivard, C.: Teleconnections and
interannual variability in Canadian groundwater levels, J. Hydrol., 410, 178–188, 2011.
U.S. Department of Commerce, National Oceanic & Atmospheric Administration, Earth System Research laboratory, Physical Sciences
Division: Climate Indices: Monthly Atmospheric and Ocean Time Series,
available at: https://www.esrl.noaa.gov/psd/, 25 April 2018.
Uvo, C. B.: Analysis and regionalization of northern European winter
precipitation based on its relationship with the North Atlantic oscillation,
Int. J. Climatol., 23, 1185–1194, https://doi.org/10.1002/joc.930, 2003.
Van Loon, A. F., Stahl, K., Di Baldassarre, G., Clark, J., Rangecroft, S.,
Wanders, N., Gleeson, T., Van Dijk, A. I. J. M., Tallaksen, L. M., Hannaford,
J., Uijlenhoet, R., Teuling, A. J., Hannah, D. M., Sheffield, J., Svoboda,
M., Verbeiren, B., Wagener, T., and Van Lanen, H. A. J.: Drought in a
human-modified world: reframing drought definitions, understanding, and
analysis approaches, Hydrol. Earth Syst. Sci., 20, 3631–3650,
https://doi.org/10.5194/hess-20-3631-2016, 2016.
Vicente-Serrano, S. M., Beguería, S., and López-Moreno, J. I.: A
Multiscalar Drought Index Sensitive to Global Warming: The Standardized
Precipitation Evapotranspiration Index, J. Climate, 23, 1696–1718,
https://doi.org/10.1175/2009jcli2909.1, 2010.
Vincent, L. A., Wang, X. L., Milewska, E. J., Wan, H., Yang, F., and Swail,
V.: A second generation of homogenized Canadian monthly surface air
temperature for climate trend analysis, J. Geophys. Res.-Atmos., 117, D18110, https://doi.org/10.1029/2012JD017859,
2012.
Vincent, L. A., Zhang, X., Brown, R. D., Feng, Y., Mekis, E., Milewska, E.
J., Wan, H., and Wang, X. L.: Observed Trends in Canada's Climate and
Influence of Low-Frequency Variability Modes, J. Climate, 28,
4545–4560, https://doi.org/10.1175/jcli-d-14-00697.1, 2015.
Wang, X. L. and Lin, A.: An algorithm for integrating satellite
precipitation estimates with in situ precipitation data on a pentad time
scale, J. Geophys. Res.-Atmos., 120, 3728–3744, https://doi.org/10.1002/2014JD022788, 2015.
Wells, N., Goddard, S., and Hayes, M. J.: A Self-Calibrating Palmer Drought
Severity Index, J. Climate, 17, 2335–2351,
https://doi.org/10.1175/1520-0442(2004)017<2335:aspdsi>2.0.co;2, 2004.
Wheater, H. and Gober, P.: Water security in the Canadian Prairies: science
and management challenges, Philos. T. R. Soc. A., 371, A 2013 371 20120409, https://doi.org/10.1098/rsta.2012.0409, 2013.
Wheater, H. and Gober, P.: Water security and the science agenda, Water Resour. Res., 51, 5406–5424, https://doi.org/10.1002/2015WR016892, 2015.
Wheaton, E., Arthur, L., Chorney, B., Shewchuk, S., Thorpe, J., Whiting, J.,
and Wittrock, V.: The prairie drought of 1988, Climatological Bulletin, 26,
188–205, 1992.
Wilhite, D. A.: Drought as a natural hazard: concepts and definitions, 3–18,
Routledge, London, 2000a.
Wilhite, D. A.: Drought as a natural hazard: Concepts and definitions.
Drought: A Global Assessment, 3–18, Routledge, London, 2000b.
Wilhite, D. A. and Glantz, M. H.: Understanding: the Drought Phenomenon:
The Role of Definitions, Water Int., 10, 111–120,
https://doi.org/10.1080/02508068508686328, 1985.
Wilks, D. S.: Statistical methods in the atmospheric sciences, Academic
press, Cambridge, Massachusetts, USA, 2011.
Wolter, K.: The Southern Oscillation in Surface Circulation and Climate over
the Tropical Atlantic, Eastern Pacific, and Indian Oceans as Captured by
Cluster Analysis, J. Clim. Appl. Meteorol., 26, 540–558,
https://doi.org/10.1175/1520-0450(1987)026<0540:tsoisc>2.0.co;2, 1987.
Wolter, K. and Timlin, M. S.: El Niño/Southern Oscillation behaviour
since 1871 as diagnosed in an extended multivariate ENSO index (MEI.ext),
Int. J. Climatol., 31, 1074–1087, https://doi.org/10.1002/joc.2336, 2011.
Wong, J. S., Razavi, S., Bonsal, B. R., Wheater, H. S., and Asong, Z. E.:
Inter-comparison of daily precipitation products for large-scale
hydro-climatic applications over Canada, Hydrol. Earth Syst. Sci., 21,
2163–2185, https://doi.org/10.5194/hess-21-2163-2017, 2017.
Yue, S., Pilon, P., Phinney, B., and Cavadias, G.: The influence of
autocorrelation on the ability to detect trend in hydrological series,
Hydrol. Process., 16, 1807–1829, 2002.
Zhang, X., Vincent, L. A., Hogg, W. D., and Niitsoo, A.: Temperature and
precipitation trends in Canada during the 20th century, Atmos. Ocean.,
38, 395–429, https://doi.org/10.1080/07055900.2000.9649654, 2000.
Zhang, X., Harvey, K. D., Hogg, W. D., and Yuzyk, T. R.: Trends in Canadian
streamflow, Water Resour. Res., 37, 987–998, https://doi.org/10.1029/2000WR900357,
2001.
Zhao, H., Higuchi, K., Waller, J., Auld, H., and Mote, T.: The impacts of
the PNA and NAO on annual maximum snowpack over southern Canada during
1979–2009, Int. J. Climatol., 33, 388–395, https://doi.org/10.1002/joc.3431, 2013.
Zhou, S., Miller, A. J., Wang, J., and Angell, J. K.: Trends of NAO and AO
and their associations with stratospheric processes, Geophys. Res. Let., 28, 4107–4110, https://doi.org/10.1029/2001GL013660, 2001.
Short summary
Canada is very susceptible to recurrent droughts, which have damaging impacts on regional water resources and agriculture. However, nationwide drought assessments are currently lacking and impacted by limited ground-based observations. We delineate two major drought regions (Prairies and northern central) over Canada and link drought characteristics to external factors of climate variability. This study helps to determine when the drought events occur, their duration, and how often they occur.
Canada is very susceptible to recurrent droughts, which have damaging impacts on regional water...
