Articles | Volume 23, issue 9
https://doi.org/10.5194/hess-23-3843-2019
© 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-23-3843-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Sep 2019
Research article |
| 20 Sep 2019
| 20 Sep 2019
Using the maximum entropy production approach to integrate energy budget modelling in a hydrological model
Département des sciences naturelles, Université du Québec
en Outaouais, Ripon, J0V 1V0, Canada
Islem Hajji
Département de génie civil et de génie des eaux,
Université Laval, Québec, G1V 0A6, Canada
François Anctil
Département de génie civil et de génie des eaux,
Université Laval, Québec, G1V 0A6, Canada
Daniel F. Nadeau
Département de génie civil et de génie des eaux,
Université Laval, Québec, G1V 0A6, Canada
René Therrien
Département de géologie et de génie géologique,
Université Laval, Québec, G1V 0A6, Canada
Related authors
No articles found.
Friederike Currle, René Therrien, and Oliver S. Schilling
EGUsphere, https://doi.org/10.5194/egusphere-2024-3787, https://doi.org/10.5194/egusphere-2024-3787, 2024
Short summary
Short summary
We present a new approach to simulate the transport of microbes in river-aquifer systems in the integrated hydrological model HydroGeoSphere. Compared to existing models, the advantage of the new implementation lies in the consideration of all relevant parts of the water budget and the flexibility to simulate in parallel the reactive transport of several microbial species and solutes. The new developed tool enables to improve our understanding of pathogen transport in river-groundwater systems.
Kh Rahat Usman, Rodolfo Alvarado Montero, Tadros Ghobrial, François Anctil, and Arnejan van Loenen
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-116, https://doi.org/10.5194/gmd-2024-116, 2024
Preprint under review for GMD
Short summary
Short summary
Rivers in cold climate regions such as Canada undergo freeze up during winters which makes the estimation forecasting of under-ice discharge very challenging and uncertain since there is no reliable method other than direct measurements. The current study explored the potential of deploying a coupled modelling framework for the estimation and forecasting of this parameter. The framework showed promising potential in addressing the challenge of estimating and forecasting the under-ice discharge.
Benjamin Bouchard, Daniel F. Nadeau, Florent Domine, François Anctil, Tobias Jonas, and Étienne Tremblay
Hydrol. Earth Syst. Sci., 28, 2745–2765, https://doi.org/10.5194/hess-28-2745-2024, https://doi.org/10.5194/hess-28-2745-2024, 2024
Short summary
Short summary
Observations and simulations from an exceptionally low-snow and warm winter, which may become the new norm in the boreal forest of eastern Canada, show an earlier and slower snowmelt, reduced soil temperature, stronger vertical temperature gradients in the snowpack, and a significantly lower spring streamflow. The magnitude of these effects is either amplified or reduced with regard to the complex structure of the canopy.
Benjamin Bouchard, Daniel F. Nadeau, Florent Domine, Nander Wever, Adrien Michel, Michael Lehning, and Pierre-Erik Isabelle
The Cryosphere, 18, 2783–2807, https://doi.org/10.5194/tc-18-2783-2024, https://doi.org/10.5194/tc-18-2783-2024, 2024
Short summary
Short summary
Observations over several winters at two boreal sites in eastern Canada show that rain-on-snow (ROS) events lead to the formation of melt–freeze layers and that preferential flow is an important water transport mechanism in the sub-canopy snowpack. Simulations with SNOWPACK generally show good agreement with observations, except for the reproduction of melt–freeze layers. This was improved by simulating intercepted snow microstructure evolution, which also modulates ROS-induced runoff.
Alexis Bédard-Therrien, François Anctil, Julie M. Thériault, Olivier Chalifour, Fanny Payette, Alexandre Vidal, and Daniel F. Nadeau
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-78, https://doi.org/10.5194/hess-2024-78, 2024
Preprint under review for HESS
Short summary
Short summary
Observations from a study site network in eastern Canada showed a temperature interval the overlapping probabilities for rain, snow or a mix of both. Models using random forest algorithms were developed to classify the precipitation phase using meteorological data to evaluate operational applications. They showed significantly improved phase classification compared to benchmarks, but misclassification led to costlier errors. However, accurate prediction of mixed phase remains a challenge.
Florent Domine, Denis Sarrazin, Daniel F. Nadeau, Georg Lackner, and Maria Belke-Brea
Earth Syst. Sci. Data, 16, 1523–1541, https://doi.org/10.5194/essd-16-1523-2024, https://doi.org/10.5194/essd-16-1523-2024, 2024
Short summary
Short summary
The forest–tundra ecotone is the transition region between the boreal forest and Arctic tundra. It spans over 13 000 km across the Arctic and is evolving rapidly because of climate change. We provide extensive data sets of two sites 850 m apart, one in tundra and one in forest in this ecotone for use in various models. Data include meteorological and flux data and unique snow and soil physics data.
Simon Ricard, Philippe Lucas-Picher, Antoine Thiboult, and François Anctil
Hydrol. Earth Syst. Sci., 27, 2375–2395, https://doi.org/10.5194/hess-27-2375-2023, https://doi.org/10.5194/hess-27-2375-2023, 2023
Short summary
Short summary
A simplified hydroclimatic modelling workflow is proposed to quantify the impact of climate change on water discharge without resorting to meteorological observations. Results confirm that the proposed workflow produces equivalent projections of the seasonal mean flows in comparison to a conventional hydroclimatic modelling approach. The proposed approach supports the participation of end-users in interpreting the impact of climate change on water resources.
Georg Lackner, Florent Domine, Daniel F. Nadeau, Matthieu Lafaysse, and Marie Dumont
The Cryosphere, 16, 3357–3373, https://doi.org/10.5194/tc-16-3357-2022, https://doi.org/10.5194/tc-16-3357-2022, 2022
Short summary
Short summary
We compared the snowpack at two sites separated by less than 1 km, one in shrub tundra and the other one within the boreal forest. Even though the snowpack was twice as thick at the forested site, we found evidence that the vertical transport of water vapor from the bottom of the snowpack to its surface was important at both sites. The snow model Crocus simulates no water vapor fluxes and consequently failed to correctly simulate the observed density profiles.
Jing Xu, François Anctil, and Marie-Amélie Boucher
Hydrol. Earth Syst. Sci., 26, 1001–1017, https://doi.org/10.5194/hess-26-1001-2022, https://doi.org/10.5194/hess-26-1001-2022, 2022
Short summary
Short summary
The performance of the non-dominated sorting genetic algorithm II (NSGA-II) is compared with a conventional post-processing method of affine kernel dressing. NSGA-II showed its superiority in improving the forecast skill and communicating trade-offs with end-users. It allows the enhancement of the forecast quality since it allows for setting multiple specific objectives from scratch. This flexibility should be considered as a reason to implement hydrologic ensemble prediction systems (H-EPSs).
Emixi Sthefany Valdez, François Anctil, and Maria-Helena Ramos
Hydrol. Earth Syst. Sci., 26, 197–220, https://doi.org/10.5194/hess-26-197-2022, https://doi.org/10.5194/hess-26-197-2022, 2022
Short summary
Short summary
We investigated how a precipitation post-processor interacts with other tools for uncertainty quantification in a hydrometeorological forecasting chain. Four systems were implemented to generate 7 d ensemble streamflow forecasts, which vary from partial to total uncertainty estimation. Overall analysis showed that post-processing and initial condition estimation ensure the most skill improvements, in some cases even better than a system that considers all sources of uncertainty.
Georg Lackner, Florent Domine, Daniel F. Nadeau, Annie-Claude Parent, François Anctil, Matthieu Lafaysse, and Marie Dumont
The Cryosphere, 16, 127–142, https://doi.org/10.5194/tc-16-127-2022, https://doi.org/10.5194/tc-16-127-2022, 2022
Short summary
Short summary
The surface energy budget is the sum of all incoming and outgoing energy fluxes at the Earth's surface and has a key role in the climate. We measured all these fluxes for an Arctic snowpack and found that most incoming energy from radiation is counterbalanced by thermal radiation and heat convection while sublimation was negligible. Overall, the snow model Crocus was able to simulate the observed energy fluxes well.
Achut Parajuli, Daniel F. Nadeau, François Anctil, and Marco Alves
The Cryosphere, 15, 5371–5386, https://doi.org/10.5194/tc-15-5371-2021, https://doi.org/10.5194/tc-15-5371-2021, 2021
Short summary
Short summary
Cold content is the energy required to attain an isothermal (0 °C) state and resulting in the snow surface melt. This study focuses on determining the multi-layer cold content (30 min time steps) relying on field measurements, snow temperature profile, and empirical formulation in four distinct forest sites of Montmorency Forest, eastern Canada. We present novel research where the effect of forest structure, local topography, and meteorological conditions on cold content variability is explored.
Simon Ricard, Philippe Lucas-Picher, and François Anctil
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-451, https://doi.org/10.5194/hess-2021-451, 2021
Revised manuscript not accepted
Short summary
Short summary
We propose a simplified hydroclimatic modelling workflow for producing hydrologic scenarios without resorting to meteorological observations. This innovative approach preserves trends and physical consistency between simulated climate variables, allows the implementation of modelling cascades despite observation scarcity, and supports the participation of end-users in producing and interpreting climate change impacts on water resources.
Etienne Guilpart, Vahid Espanmanesh, Amaury Tilmant, and François Anctil
Hydrol. Earth Syst. Sci., 25, 4611–4629, https://doi.org/10.5194/hess-25-4611-2021, https://doi.org/10.5194/hess-25-4611-2021, 2021
Short summary
Short summary
The stationary assumption in hydrology has become obsolete because of climate changes. In that context, it is crucial to assess the performance of a hydrologic model over a wide range of climates and their corresponding hydrologic conditions. In this paper, numerous, contrasted, climate sequences identified by a hidden Markov model (HMM) are used in a differential split-sample testing framework to assess the robustness of a hydrologic model. We illustrate the method on the Senegal River.
Antoine Thiboult, Gregory Seiller, Carine Poncelet, and François Anctil
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-6, https://doi.org/10.5194/hess-2020-6, 2020
Preprint withdrawn
Short summary
Short summary
HOOPLA, the HydrOlOgical Prediction LAboratory, is a toolbox that converts precipitation into river runoff. It relies on numerical models to compute snow accumulation and melting, water loss to the atmosphere, and the main on-land water cycle processes. HOOPLA includes several techniques to handle forecast uncertainty. In particular, it adopts a probabilistic approach to describe the model structure, the initial condition, and the meteorological uncertainties.
Olli Peltola, Timo Vesala, Yao Gao, Olle Räty, Pavel Alekseychik, Mika Aurela, Bogdan Chojnicki, Ankur R. Desai, Albertus J. Dolman, Eugenie S. Euskirchen, Thomas Friborg, Mathias Göckede, Manuel Helbig, Elyn Humphreys, Robert B. Jackson, Georg Jocher, Fortunat Joos, Janina Klatt, Sara H. Knox, Natalia Kowalska, Lars Kutzbach, Sebastian Lienert, Annalea Lohila, Ivan Mammarella, Daniel F. Nadeau, Mats B. Nilsson, Walter C. Oechel, Matthias Peichl, Thomas Pypker, William Quinton, Janne Rinne, Torsten Sachs, Mateusz Samson, Hans Peter Schmid, Oliver Sonnentag, Christian Wille, Donatella Zona, and Tuula Aalto
Earth Syst. Sci. Data, 11, 1263–1289, https://doi.org/10.5194/essd-11-1263-2019, https://doi.org/10.5194/essd-11-1263-2019, 2019
Short summary
Short summary
Here we develop a monthly gridded dataset of northern (> 45 N) wetland methane (CH4) emissions. The data product is derived using a random forest machine-learning technique and eddy covariance CH4 fluxes from 25 wetland sites. Annual CH4 emissions from these wetlands calculated from the derived data product are comparable to prior studies focusing on these areas. This product is an independent estimate of northern wetland CH4 emissions and hence could be used, e.g. for process model evaluation.
Étienne Gaborit, Vincent Fortin, Xiaoyong Xu, Frank Seglenieks, Bryan Tolson, Lauren M. Fry, Tim Hunter, François Anctil, and Andrew D. Gronewold
Hydrol. Earth Syst. Sci., 21, 4825–4839, https://doi.org/10.5194/hess-21-4825-2017, https://doi.org/10.5194/hess-21-4825-2017, 2017
Short summary
Short summary
The work presents an original methodology for optimizing streamflow simulations with the distributed hydrological model GEM-Hydro.
While minimizing the computational time required for automatic calibration, the approach allows us to end up with a spatially coherent and transferable parameter set. The GEM-Hydro model is useful because it allows simulation of all physical components of the hydrological cycle in every part of a domain.
It proves to be competitive with other distributed models.
Antoine Thiboult, François Anctil, and Marie-Amélie Boucher
Hydrol. Earth Syst. Sci., 20, 1809–1825, https://doi.org/10.5194/hess-20-1809-2016, https://doi.org/10.5194/hess-20-1809-2016, 2016
Short summary
Short summary
Issuing a good hydrological forecast is challenging because of the numerous sources of uncertainty that lay in the description of the hydrometeorological processes. Several modeling techniques are investigated in this paper to assess how they contribute to the forecast quality. It is shown that the best modeling approach uses several dissimilar techniques that each tackle one source of uncertainty.
G. Seiller and F. Anctil
Hydrol. Earth Syst. Sci., 18, 2033–2047, https://doi.org/10.5194/hess-18-2033-2014, https://doi.org/10.5194/hess-18-2033-2014, 2014
Related subject area
Subject: Hydrometeorology | Techniques and Approaches: Modelling approaches
Downscaling precipitation over High-mountain Asia using multi-fidelity Gaussian processes: improved estimates from ERA5
Mapping soil moisture across the UK: assimilating cosmic-ray neutron sensors, remotely sensed indices, rainfall radar and catchment water balance data in a Bayesian hierarchical model
Assessing rainfall radar errors with an inverse stochastic modelling framework
Multi-objective calibration and evaluation of the ORCHIDEE land surface model over France at high resolution
Spatiotemporal responses of runoff to climate change in the southern Tibetan Plateau
FROSTBYTE: a reproducible data-driven workflow for probabilistic seasonal streamflow forecasting in snow-fed river basins across North America
On the combined use of rain gauges and GPM IMERG satellite rainfall products for hydrological modelling: impact assessment of the cellular-automata-based methodology in the Tanaro River basin in Italy
An increase in the spatial extent of European floods over the last 70 years
140-year daily ensemble streamflow reconstructions over 661 catchments in France
The agricultural expansion in South America's Dry Chaco: regional hydroclimate effects
Machine-learning-constrained projection of bivariate hydrological drought magnitudes and socioeconomic risks over China
Improving runoff simulation in the Western United States with Noah-MP and variable infiltration capacity
Spatial variability in the seasonal precipitation lapse rates in complex topographical regions – application in France
Downscaling the probability of heavy rainfall over the Nordic countries
Modelling convective cell lifecycles with a copula-based approach
What Are the Key Soil Hydrological Processes to Control Soil Moisture Memory?
Assessing downscaling methods to simulate hydrologically relevant weather scenarios from a global atmospheric reanalysis: case study of the upper Rhône River (1902–2009)
Global total precipitable water variations and trends over the period 1958–2021
Assessing decadal- to centennial-scale nonstationary variability in meteorological drought trends
Identification of compound drought and heatwave events on a daily scale and across four seasons
Leveraging a Disdrometer Network to Develop a Probabilistic Precipitation Phase Model in Eastern Canada
Observation-driven model for calculating water harvesting potential from advective fog in (semi-)arid coastal regions
Potential for historically unprecedented Australian droughts from natural variability and climate change
Review of Gridded Climate Products and Their Use in Hydrological Analyses Reveals Overlaps, Gaps, and Need for More Objective Approach to Model Forcings
Flood risk assessment for Indian sub-continental river basins
Key ingredients in regional climate modelling for improving the representation of typhoon tracks and intensities
Divergent future drought projections in UK river flows and groundwater levels
Predicting extreme sub-hourly precipitation intensification based on temperature shifts
Hydroclimatic processes as the primary drivers of the Early Khvalynian transgression of the Caspian Sea: new developments
Accounting for hydroclimatic properties in flood frequency analysis procedures
Understanding the influence of “hot” models in climate impact studies: a hydrological perspective
A semi-parametric hourly space–time weather generator
A principal-component-based strategy for regionalisation of precipitation intensity–duration–frequency (IDF) statistics
Accounting for precipitation asymmetry in a multiplicative random cascade disaggregation model
Seasonal soil moisture and crop yield prediction with fifth-generation seasonal forecasting system (SEAS5) long-range meteorological forecasts in a land surface modelling approach
A genetic particle filter scheme for univariate snow cover assimilation into Noah-MP model across snow climates
Investigating the response of land–atmosphere interactions and feedbacks to spatial representation of irrigation in a coupled modeling framework
Validation of precipitation reanalysis products for rainfall-runoff modelling in Slovenia
Statistical post-processing of precipitation forecasts using circulation classifications and spatiotemporal deep neural networks
Sensitivity of the pseudo-global warming method under flood conditions: a case study from the northeastern US
Hybrid forecasting: blending climate predictions with AI models
Sensitivities of subgrid-scale physics schemes, meteorological forcing, and topographic radiation in atmosphere-through-bedrock integrated process models: a case study in the Upper Colorado River basin
Local moisture recycling across the globe
How well does a convection-permitting regional climate model represent the reverse orographic effect of extreme hourly precipitation?
Regionalisation of rainfall depth–duration–frequency curves with different data types in Germany
The suitability of a seasonal ensemble hybrid framework including data-driven approaches for hydrological forecasting
Continuous streamflow prediction in ungauged basins: long short-term memory neural networks clearly outperform traditional hydrological models
Daily ensemble river discharge reforecasts and real-time forecasts from the operational Global Flood Awareness System
Spatial distribution of oceanic moisture contributions to precipitation over the Tibetan Plateau
Ensemble streamflow prediction considering the influence of reservoirs in Narmada River Basin, India
Kenza Tazi, Andrew Orr, Javier Hernandez-González, Scott Hosking, and Richard E. Turner
Hydrol. Earth Syst. Sci., 28, 4903–4925, https://doi.org/10.5194/hess-28-4903-2024, https://doi.org/10.5194/hess-28-4903-2024, 2024
Short summary
Short summary
This work aims to improve the understanding of precipitation patterns in High-mountain Asia, a crucial water source for around 1.9 billion people. Through a novel machine learning method, we generate high-resolution precipitation predictions, including the likelihoods of floods and droughts. Compared to state-of-the-art methods, our method is simpler to implement and more suitable for small datasets. The method also shows accuracy comparable to or better than existing benchmark datasets.
Peter E. Levy and the COSMOS-UK team
Hydrol. Earth Syst. Sci., 28, 4819–4836, https://doi.org/10.5194/hess-28-4819-2024, https://doi.org/10.5194/hess-28-4819-2024, 2024
Short summary
Short summary
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 that is closely linked to direct measurements of soil moisture at a network sites across the UK, to the water balance (precipitation minus drainage and evaporation) measured at a large number of catchments (1212) and to remotely sensed satellite estimates.
Amy C. Green, Chris Kilsby, and András Bárdossy
Hydrol. Earth Syst. Sci., 28, 4539–4558, https://doi.org/10.5194/hess-28-4539-2024, https://doi.org/10.5194/hess-28-4539-2024, 2024
Short summary
Short summary
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 in generating realistic weather radar images visually for a large range of event types.
Peng Huang, Agnès Ducharne, Lucia Rinchiuso, Jan Polcher, Laure Baratgin, Vladislav Bastrikov, and Eric Sauquet
Hydrol. Earth Syst. Sci., 28, 4455–4476, https://doi.org/10.5194/hess-28-4455-2024, https://doi.org/10.5194/hess-28-4455-2024, 2024
Short summary
Short summary
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 reliable historical overview of water resources and a robust configuration for climate change impact analysis at the nationwide scale of France.
He Sun, Tandong Yao, Fengge Su, Wei Yang, and Deliang Chen
Hydrol. Earth Syst. Sci., 28, 4361–4381, https://doi.org/10.5194/hess-28-4361-2024, https://doi.org/10.5194/hess-28-4361-2024, 2024
Short summary
Short summary
Our findings show that runoff in the Yarlung Zangbo (YZ) basin is primarily driven by rainfall, with the largest glacier runoff contribution in the downstream sub-basin. Annual runoff increased in the upper stream but decreased downstream due to varying precipitation patterns. It is expected to rise throughout the 21st century, mainly driven by increased rainfall.
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
Hydrol. Earth Syst. Sci., 28, 4127–4155, https://doi.org/10.5194/hess-28-4127-2024, https://doi.org/10.5194/hess-28-4127-2024, 2024
Short summary
Short summary
Forecasting river flow months in advance is crucial for water sectors and society. In North America, snowmelt is a key driver of flow. This study presents a statistical workflow using snow data to forecast flow months ahead in North American snow-fed rivers. Variations in the river flow predictability across the continent are evident, raising concerns about future predictability in a changing (snow) climate. The reproducible workflow hosted on GitHub supports collaborative and open science.
Annalina Lombardi, Barbara Tomassetti, Valentina Colaiuda, Ludovico Di Antonio, Paolo Tuccella, Mario Montopoli, Giovanni Ravazzani, Frank Silvio Marzano, Raffaele Lidori, and Giulia Panegrossi
Hydrol. Earth Syst. Sci., 28, 3777–3797, https://doi.org/10.5194/hess-28-3777-2024, https://doi.org/10.5194/hess-28-3777-2024, 2024
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
Rasmus E. Benestad, Kajsa M. Parding, and Andreas Dobler
EGUsphere, https://doi.org/10.5194/egusphere-2024-1463, https://doi.org/10.5194/egusphere-2024-1463, 2024
Short summary
Short summary
The paper presents a method for deriving the chance of heavy downpour, the maximum amount expected at various intervals, and explain how the rainfall changes. It suggests that increases are more due to increased amounts on wet days rather than more wet days, and the rainfall intensity is found to be sensitive to future greenhouse gas emissions while the number of wet days appears to be less affected.
Chien-Yu Tseng, Li-Pen Wang, and Christian Onof
EGUsphere, https://doi.org/10.5194/egusphere-2024-1540, https://doi.org/10.5194/egusphere-2024-1540, 2024
Short summary
Short summary
This study presents a new algorithm to better model convective storms. We used advanced tracking methods to analyse 165 storm events in Birmingham (UK) and to reconstruct storm cell lifecycles. We found that cell properties like intensity and size are interrelated and vary over time. The new algorithm, based on vine copulas, accurately simulates these properties and their evolution. It also integrates an exponential model for realistic rainfall patterns, enhancing its hydrological applicability.
Mohammad Ali Farmani, Ali Behrangi, Aniket Gupta, Ahmad Tavakoly, Matthew Geheran, and Guo-Yue Niu
EGUsphere, https://doi.org/10.5194/egusphere-2024-1256, https://doi.org/10.5194/egusphere-2024-1256, 2024
Short summary
Short summary
This study investigates how key hydrological processes enhance soil water retention and release in land surface models, crucial for accurate weather and climate forecasting. Experiments show that soil hydraulics effectively sustain soil moisture. Additionally, allowing surface water ponding and improving soil permeability through macropores both enhance soil moisture persistency in the models.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
Alexis Bédard-Therrien, François Anctil, Julie M. Thériault, Olivier Chalifour, Fanny Payette, Alexandre Vidal, and Daniel F. Nadeau
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-78, https://doi.org/10.5194/hess-2024-78, 2024
Preprint under review for HESS
Short summary
Short summary
Observations from a study site network in eastern Canada showed a temperature interval the overlapping probabilities for rain, snow or a mix of both. Models using random forest algorithms were developed to classify the precipitation phase using meteorological data to evaluate operational applications. They showed significantly improved phase classification compared to benchmarks, but misclassification led to costlier errors. However, accurate prediction of mixed phase remains a challenge.
Felipe Lobos-Roco, Jordi Vilà-Guerau de Arellano, and Camilo de Rio
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-110, https://doi.org/10.5194/hess-2024-110, 2024
Revised manuscript accepted for HESS
Short summary
Short summary
Water resources are fundamental for social, economic, and natural development of (semi-)arid regions. Precipitation decreases due to climate change obligates us to find new water resources. Fog harvesting emerges as a complementary one in regions where it is abundant but untapped. This research proposes a model to estimate fog harvesting potential in coastal (semi-)arid regions. This model could have broader applicability worldwide in regions where fog harvesting could be a viable water source.
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
Short summary
Short summary
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.
Kyle R. Mankin, Sushant Mehan, Timothy R. Green, and David M. Barnard
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-58, https://doi.org/10.5194/hess-2024-58, 2024
Revised manuscript accepted for HESS
Short summary
Short summary
We assess 60 gridded climate datasets [ground- (G), satellite- (S), reanalysis-based (R)]. Higher-density station data and less-hilly terrain improved climate data. In mountainous and humid regions, dataset types performed similarly; but R outperformed G when underlying data had low station density. G outperformed S or R datasets, though better streamflow modeling did not always follow. Hydrologic analyses need datasets that better represent climate variable dependencies and complex topography.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
Cited articles
Alves, M., Music, B., Nadeau, D. F., and Anctil, F.: Comparing the Performance of the
Maximum Entropy Production Model With a Land Surface Scheme in Simulating
Surface Energy Fluxes, J. Geophys. Res.-Atmos., 124, 3279–3300, https://doi.org/10.1029/2018JD029282, 2019.
Andréassian, V., Perrin, C., and Michel, C.: Impact of imperfect
potential evapotranspiration knowledge on the efficiency and parameters of
watershed models, J. Hydrol., 286, 19–35,
https://doi.org/10.1016/j.jhydrol.2003.09.030, 2004.
Aquanty.: HydroGeoSphere User Manual – release 1.0, Aquanty Inc, Waterloo,
Canada, 2013.
Bae, D. H., Jung, I. W., and Lettenmaier, D. P.: Hydrologic uncertainties in
climate change from IPCC AR4 GCM simulations of the Chungju Basin, Korea, J.
Hydrol., 401, 90–105, https://doi.org/10.1016/j.jhydrol.2011.02.012,
2011.
Baldocchi, D.: AmeriFlux US-Ton Tonzi Ranch, AmeriFlux,
https://doi.org/10.17190/AMF/1245971, 2016.
Baldocchi, D. D., Falge, E., Gu, L., Olson, R., Hollinger, D., Running, S., Anthoni, P., Bernhofer, Ch., Davis, K., Evans, R., Fuentes, J., Goldstein, A., Katul, G., Law, B., Lee, X., Malhi, Y., Meyers, T., Munger, W., Oechel, W., Paw U, K. T., Pilegaard, K., Schmid, H. P., Valentini, R., Verma, S., Vesala, T., Wilson, K., and Wofsy, S.: FLUXNET?: A new tool to study the temporal and spatial variability
of ecosystem-scale carbon dioxide, water vapor, and energy flux densities,
B. Am. Meteorol. Soc., 82, 2415–2434, 2001.
Baldocchi, D. D., Xu, L., and Kiang, N.: How plant functional-type, weather,
seasonal drought, and soil physical properties alter water and energy fluxes
of an oak-grass savanna and an annual grassland, Agr. Forest Meteorol.,
123, 13–39, https://doi.org/10.1016/j.agrformet.2003.11.006, 2004.
Breshears, D. D., Adams, H. D., Eamus, D., McDowell, N. G., Law, D. J., Will, R. E., Park Williams, A., and Zou, C. B.: The critical amplifying role of increasing atmospheric
moisture demand on tree mortality and associated regional die-off, Front.
Plant Sci., 4, 266, https://doi.org/10.3389/fpls.2013.00266, 2013.
Brookfield, A. E., Sudicky, E. A., Park, Y.-J., and Conant Jr., B.: Thermal
transport modeling in a fully integrated surface/subsurface framework,
Hydrol. Process., 23, 2150–2164, https://doi.org/10.1002/hyp.7282, 2009.
Brutsaert, W.: Evaporation into the atmosphere: Theory, history and
applications, Springer, Dordrecht, 1982.
Dewar, R. C.: Maximum entropy production and the fluctuation theorem, J.
Phys. A-Math. Gen., 38, L371–L381,
https://doi.org/10.1088/0305-4470/38/21/L01, 2005.
Dewar, R. C.: Maximum entropy production as an inference algorithm that
translates physical assumptions into macroscopic predictions: Don't shoot
the messenger, Entropy, 11, 931–944, https://doi.org/10.3390/e11040931,
2009.
Donohue, R. J., Mcvicar, T. R., and Roderick, M. L.: Assessing the ability
of potential evaporation formulations to capture the dynamics in evaporative
demand within a changing climate, J. Hydrol., 386, 186–197,
https://doi.org/10.1016/j.jhydrol.2010.03.020, 2010.
Ehret, U., Gupta, H. V., Sivapalan, M., Weijs, S. V., Schymanski, S. J., Blöschl, G., Gelfan, A. N., Harman, C., Kleidon, A., Bogaard, T. A., Wang, D., Wagener, T., Scherer, U., Zehe, E., Bierkens, M. F. P., Di Baldassarre, G., Parajka, J., van Beek, L. P. H., van Griensven, A., Westhoff, M. C., and Winsemius, H. C.: Advancing catchment hydrology to deal with predictions under change, Hydrol. Earth Syst. Sci., 18, 649–671, https://doi.org/10.5194/hess-18-649-2014, 2014.
Ekström, M., Jones, P. D., Fowler, H. J., Lenderink, G., Buishand, T. A., and Conway, D.: Regional climate model data used within the SWURVE project – 1: projected changes in seasonal patterns and estimation of PET, Hydrol. Earth Syst. Sci., 11, 1069–1083, https://doi.org/10.5194/hess-11-1069-2007, 2007.
Ershadi, A., McCabe, M. F., Evan, J. P., Chaney, N. W., and Wood, E. F.:
Multi-site evaluation of terrestrial evaporation models using FLUXNET data,
Agr. Forest Meteorol., 187, 46–61,
https://doi.org/10.1016/j.agrformet.2013.11.008, 2014.
Feddes, R. A., Kowalik, P. J., and Zaradny, H.: Simulation of field water
use and crop yield, John Wiley and Sons, New York, 1978.
Ferguson, I. M., Jefferson, J. L., Maxwell, R. M., and Kollet, S. J.:
Effects of root water uptake formulation on simulated water and energy
budgets at local and basin scales, Environ. Earth Sci., 75, 316,
https://doi.org/10.1007/s12665-015-5041-z, 2016.
Ficklin, D. L. and Novick, K. A.: Historic and projected changes in vapor
pressure deficit suggest a continental-scale drying of the United States
atmosphere, J. Geophys. Res., 122, 2061–2079,
https://doi.org/10.1002/2016JD025855, 2017.
Gaborit, É., Fortin, V., Xu, X., Seglenieks, F., Tolson, B., Fry, L. M., Hunter, T., Anctil, F., and Gronewold, A. D.: A hydrological prediction system based on the SVS land-surface scheme: efficient calibration of GEM-Hydro for streamflow simulation over the Lake Ontario basin, Hydrol. Earth Syst. Sci., 21, 4825–4839, https://doi.org/10.5194/hess-21-4825-2017, 2017.
Gibbens, R. and Lenz, J.: Root system of some Chihuhuan Desert plants, J.
Arid Environ., 49, 221–263, 2001.
Gutman, G. and Ignatov, A.: The derivation of the green vegetation fraction
from NOAA/AVHRR data for use in numerical weather prediction models, Int.
J. Remote Sens., 19, 1533–1543, https://doi.org/10.1080/014311698215333,
1998.
Hajji, I., Nadeau, D. F., Music, B., Anctil, F., and Wang, J.: Application of
the maximum entropy production model of evapotranspiration over partially
vegetated water-limited land surfaces, J. Hydrometeorol., 19, 989–1005,
2018.
Hamon, W.: Computation of direct runoff amounts from storm rainfall,
Int. Assoc. Sci. Hydrol., 63, 52–62, 1963.
Hird, J. N. and McDermid, G. J.: Noise reduction of NDVI time series: An
empirical comparison of selected techniques, Remote Sens. Environ., 113,
248–258, https://doi.org/10.1016/j.rse.2008.09.003, 2009.
Hobbins, M. T., Dai, A., Roderick, M. L., and Farquhar, G. D.: Revisiting
the parameterization of potential evaporation as a driver of long-term water
balance trends, Geophys. Res. Lett., 35, 1–6,
https://doi.org/10.1029/2008GL033840, 2008.
Hoerling, M. P., Eischeid, J. K., Quan, X.-W., Diaz, H. F., Webb, R. S.,
Dole, R. M., and Easterling, D. R.: Is a transition to semipermanent drought
conditions imminent in the U.S. Great Plains?, J. Climate, 25,
8380–8386, https://doi.org/10.1175/JCLI-D-12-00449.1, 2012.
Hosseinzadehtalaei, P., Tabari, H., and Willems, P.: Quantification of
uncertainty in reference evapotranspiration climate change signals in
Belgium, Hydrol. Res., 48, 1391–1401, https://doi.org/10.2166/nh.2016.243, 2016.
Huang, S.-Y. and Wang, J.: A coupled force-restore model of surface
temperature and soil moisture using the maximum entropy production model of
heat fluxes, J. Geophys. Res.-Atmos., 121, 7528–7547,
https://doi.org/10.1002/2015JD024586, 2016.
Huxman, T. E., Wilcox, B. P., Breshears, D. D., Scott, R. L., Snyder, K. A., Small, E. E., Hultine, K., Pockman, W. T., and Jackson, R. B.: Ecohydrological implications of woody plant
encroachment, Ecology, 86, 308–319, 2005.
Ichii, K., Wang, W., Hashimoto, H., Yang, F., Votava, P., Michaelis, A. R.,
and Nemani, R. R.: Refinement of rooting depths using satellite-based
evapotranspiration seasonality for ecosystem modeling in California, Agr.
Forest Meteorol., 149, 1907–1918,
https://doi.org/10.1016/j.agrformet.2009.06.019, 2009.
Isabelle, P.-E., Nadeau, D., Rousseau, A., and Anctil, F.: Water budget,
performance of evapotranspiration formulations, and their impact on
hydrological modeling of a small boreal peatland-dominated watershed, Can.
J. Earth Sci., 55, 206–220, https://doi.org/10.1139/cjes-2017-0046, 2018.
Jaynes, E. T.: Information theory and statistical mechanics, Phys. Rev.,
106, 620–630, https://doi.org/10.1103/PhysRev.106.620, 1957.
Kay, A. L. and Davies, H. N.: Calculating potential evaporation from
climate model data: A source of uncertainty for hydrological climate change
impacts, J. Hydrol., 358, 221–239,
https://doi.org/10.1016/j.jhydrol.2008.06.005, 2008.
Kingston, D. G., Todd, M. C., Taylor, R. G., Thompson, J. R., and Arnell, N.
W.: Uncertainty in the estimation of potential evapotranspiration under
climate change, Geophys. Res. Lett., 36, 3–8,
https://doi.org/10.1029/2009GL040267, 2009.
Kleidon, A. and Schymanski, S.: Thermodynamics and optimality of the water
budget on land: A review, Geophys. Res. Lett., 35, L20404, https://doi.org/10.1029/2008GL035393, 2008.
Koch, J., Cornelissen, T., Fang, Z., Bogena, H., Diekkrüger, B., Kollet,
S., and Stisen, S.: Inter-comparison of three distributed hydrological
models with respect to seasonal variability of soil moisture patterns at a
small forested catchment, J. Hydrol., 533, 234–249,
https://doi.org/10.1016/j.jhydrol.2015.12.002, 2016.
Koedyk, L. P. and Kingston, D. G.: Potential evapotranspiration method
influence on climate change impacts on river flow: a mid-latitude case
study, Hydrol. Res., 951–963, https://doi.org/10.2166/nh.2016.152, 2016.
Kristensen, K. J. and Jensen, S. E.: A model for estimating actual
evapotranspiration from potential evapotranspiration, Nord. Hydrol., 6,
170–188, https://doi.org/10.2166/nh.1975.012, 1957.
Kumar, A., Chen, F., Niyogi, D., Alfieri, J. G., Ek, M., and Mitchell, K.:
Evaluation of a photosynthesis-based canopy resistance formulation in the
Noah land-surface model, Bound.-Lay. Meteorol., 138, 263–284,
https://doi.org/10.1007/s10546-010-9559-z, 2011.
Kunstmann, H., Jung, G., Wagner, S., and Clottey, H.: Integration of
atmospheric sciences and hydrology for the development of decision support
systems in sustainable water management, Phys. Chem. Earth, 33,
165–174, https://doi.org/10.1016/j.pce.2007.04.010, 2008.
Kurc, S. A. and Small, E. E.: Dynamics of evapotranspiration in semiarid
grassland and shrubland ecosystems during the summer monsoon season, central
New Mexico, Water Resour. Res., 40, 1–15,
https://doi.org/10.1029/2004WR003068, 2004.
Leuning, R., van Gorsel, E., Massman, W. J., and Isaac, P. R.: Reflections on the surface
energy imbalance problem, Agr. Forest Meteorol., 156, 65–74, https://doi.org/10.1016/j.agrformet.2011.12.002, 2012.
Livneh, B., Restrepo, P. J., and Lettenmaier, D. P.: Development of a
unified land model for prediction of surface hydrology and land–atmosphere
interactions, J. Hydrometeorol., 12, 1299–1320,
https://doi.org/10.1175/2011JHM1361.1, 2011.
Lofgren, B. M., Hunter, T. S., and Wilbarger, J.: Effects of using air
temperature as a proxy for potential evapotranspiration in climate change
scenarios of Great Lakes basin hydrology, J. Great Lakes Res., 37,
744–752, https://doi.org/10.1016/j.jglr.2011.09.006, 2011.
Maheu, A., Anctil, F., Gaborit, E., Fortin, V., Nadeau, D. F., and Therrien, R.:
A field evaluation of soil moisture modeling with the Soil, Vegetation, and
Snow (SVS) land surface model using evapotranspiration observations as
forcing data, J. Hydrol., 558, 532–545,
https://doi.org/10.1016/j.jhydrol.2018.01.065, 2018.
Maxwell, R. and Miller, N.: Development of a coupled land surface and
groundwater model, J. Hydrometeorol., 6, 233–247,
https://doi.org/10.1175/JHM422.1, 2005.
Maxwell, R. M., Putti, M., Meyerhoff, S., Delfs, J.-O., Ferguson, I. M., Ivanov, V., Kim, J., Kolditz, O., Kollet, S. J., Kumar, M., Lopez, S., Niu, J., Paniconi, C., Park, Y.-J., Phanikumar, M. S., Shen, C., Sudicky, E. A., and Sulis, M.: Surface-subsurface model intercomparison: a first set of benchmark
results to diagnose integrated hydrology and feedbacks, Water Resour. Res.,
50, 1531–1549, https://doi.org/10.1002/2013WR013725, 2014.
McAfee, S. A.: Methodological differences in projected potential
evapotranspiration, Clim. Change, 120, 915–930,
https://doi.org/10.1007/s10584-013-0864-7, 2013.
McKenney, M. S. and Rosenberg, N. J.: Sensitivity of some potential
evapotranspiration estimation methods to climate change, Agr. Forest
Meteorol., 64, 81–110, https://doi.org/10.1016/0168-1923(95)02239-T, 1993.
McMahon, T. A., Peel, M. C., and Karoly, D. J.: Assessment of precipitation and temperature data from CMIP3 global climate models for hydrologic simulation, Hydrol. Earth Syst. Sci., 19, 361–377, https://doi.org/10.5194/hess-19-361-2015, 2015.
McVicar, T. R., Van Niel, T. G., Li, L. T., Roderick, M. L., Rayner, D. P.,
Ricciardulli, L., and Donohue, R. J.: Wind speed climatology and trends for
Australia, 1975–2006: Capturing the stilling phenomenon and comparison with
near-surface reanalysis output, Geophys. Res. Lett., 35, 1–6,
https://doi.org/10.1029/2008GL035627, 2008.
Meyers, T.: AmeriFlux US-WBW Walker Branch Watershed, AmeriFlux,
https://doi.org/10.17190/AMF/1246109, 2016.
Miller, G. R., Chen, X., Rubin, Y., Ma, S., and Baldocchi, D. D.:
Groundwater uptake by woody vegetation in a semiarid oak savanna, Water
Resour. Res., 46, W10503, https://doi.org/10.1029/2009WR008902, 2010.
Miller, G. R., Baldocchi, D. D., Law, B. E., and Meyers, T.: An analysis of
soil moisture dynamics using multi-year data from a network of
micrometeorological observation sites, Adv. Water Res., 30, 1065–1081,
https://doi.org/10.1016/j.advwatres.2006.10.002, 2007.
Milly, P. C. D. and Dunne, K. A.: On the hydrologic adjustment of
climate-model projections: The potential pitfall of potential
evapotranspiration, Earth Interact., 15, 1–14,
https://doi.org/10.1175/2010EI363.1, 2011.
Milly, P. C. D. and Dunne, K. A.: Potential evapotranspiration and
continental drying, Nat. Clim. Change, 6, 946–949,
https://doi.org/10.1038/NCLIMATE3046, 2016.
Montandon, L. M. and Small, E. E.: The impact of soil reflectance on the
quantification of the green vegetation fraction from NDVI, Remote Sens.
Environ., 112, 1835–1845, https://doi.org/10.1016/j.rse.2007.09.007,
2008.
Monteith, J. L. : Evaporation and environment, Sym. Soc. Exp. Biol., 19, 205–234, https://doi.org/10.1613/jair.301, 1965.
Moran, M. S., Scott, R. L., Hamerlynck, E. P., Green, K. N., Emmerich, W.
E., and Holifield Collins, C. D.: Soil evaporation response to Lehmann
lovegrass (Eragrostis lehmanniana) invasion in a semiarid watershed, Agr.
Forest Meteorol., 149, 2133–2142,
https://doi.org/10.1016/j.agrformet.2009.03.018, 2009.
Nearing, M. A., Kimoto, A., Nichols, M. H., and Ritchie, J. C.: Spatial
patterns of soil erosion and deposition in two small, semiarid watersheds,
J. Geophys. Res., 110, F04020, https://doi.org/10.1029/2005JF000290, 2005.
Noilhan, J. and Planton, S.: A simple parameterization of land surface
processes for meteorological models, Mon. Weather Rev., 117, 536–549, 1989.
Oudin, L., Hervieu, F., Michel, C., Perrin, C., Andréassian, V., Anctil,
F., and Loumagne, C.: Which potential evapotranspiration input for a lumped
rainfall-runoff model? Part 2 – Towards a simple and efficient potential
evapotranspiration model for rainfall-runoff modeling, J. Hydrol.,
303, 290–306, https://doi.org/10.1016/j.jhydrol.2004.08.026, 2005.
Paltridge, G. W.: Global dynamics and climate – A system of minimum entropy
exchange, Q. J. Roy. Meteor. Soc., 101, 475–484, 1975.
Pietroniro, A., Soulis, E., Snelgrove, K., and Kouwen, N.: A framework for
coupling atmospheric and hydrological models, in:
Soil-Vegetation_Atmosphere Transfer Schemes and Large-Scale
Hydrological Models, edited by: Dolman, A. J., Hall, A. J., Kavvas, M. L.,
Oki, T., and Pomeroy, J. W., IAHS publication no. 270, IAHS Press,
Wallingford, 27–34, 2001.
Porada, P., Kleidon, A., and Schymanski, S. J.: Entropy production of soil hydrological processes and its maximisation, Earth Syst. Dynam., 2, 179–190, https://doi.org/10.5194/esd-2-179-2011, 2011.
Porporato, A., Laio, F., Ridolfi, L., and Rodriguez-Iturbe, I.: Plants in
water-controlled ecosystems: active role in hydrologic processes and
response to water stress III. Vegetation water stress, Adv. Water. Resour.,
24, 745–762, https://doi.org/10.1016/S0309-1708(01)00007-0, 2001.
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.
Prudhomme, C. and Williamson, J.: Derivation of RCM-driven potential evapotranspiration for hydrological climate change impact analysis in Great Britain: a comparison of methods and associated uncertainty in future projections, Hydrol. Earth Syst. Sci., 17, 1365–1377, https://doi.org/10.5194/hess-17-1365-2013, 2013.
Pryor, S. C., Barthelmie, R. J., Young, D. T., Takle, E. S., Arritt, R. W.,
Flory, D., Gutowski Jr, W. J., Nunes, A., and Roads, J.: Wind speed trends over the contiguous United States, J.
Geophys. Res.-Atmos., 114, D14105, https://doi.org/10.1029/2008JD011416,
2009.
Reichstein, M., Falge, E., Baldocchi, D., Papale, D., Aubinet, M.,
Berbigier, P., Bernhofer, C., Buchmann, N., Gilmanov, T., Granier, A., Grünwald, T., Havránková, K., Ilvesniemi, H., Janous, D., Knohl, A., Laurila, T., Lohila, A., Loustau, D., Matteucci, G., Meyers, T., Miglietta, F., Ourcival, J.-M., Pumpanen, J., Rambal, S., Rotenberg, E., Sanz, M., Tenhunen, J., Seufert, G., Vaccari, F., Vesala, T., Yakir, D., and Valentini, R.: On the separation of net ecosystem exchange into
assimilation and ecosystem respiration: Review and improved algorithm,
Glob. Change Biol., 11, 1424–1439,
https://doi.org/10.1111/j.1365-2486.2005.001002.x, 2005.
Schaefli, B. and Gupta, H. V.: Do Nash values have value?, Hydrol. Process.,
21, 2075–2080, https://doi.org/10.1002/hyp.6825, 2007.
Scott, R. L.: AmeriFlux US-Wkg Walnut Gulch Kendall Grassland, AmeriFlux,
https://doi.org/10.17190/AMF/1246112, 2016.
Scott, R. L. and Biederman, J. A.: Partitioning evapotranspiration using
long-term carbon dioxide and water vapor fluxes, Geophys. Res. Lett.,
44, 6833–6840, https://doi.org/10.1002/2017GL074324, 2017.
Scott, R. L., Hamerlynck, E. P., Jenerette, G. D., Moran, M. S., and
Barron-Gafford, G. A.: Carbon dioxide exchange in a semidesert grassland
through drought-induced vegetation change, J. Geophys. Res., 115, G03026,
https://doi.org/10.1029/2010JG001348, 2010.
Seiller, G. and Anctil, F.: How do potential evapotranspiration formulas
influence hydrological projections?, Hydrolog. Sci. J., 61, 2249–2266,
https://doi.org/10.1080/02626667.2015.1100302, 2016.
Shannon, C.: A mathematical theory of communication, Bell Syst. Tech. J., 27, 379–423, https://doi.org/10.1016/S0006-3495(96)79210-X, 1948.
Shaw, S. B. and Riha, S. J.: Assessing temperature-based PET equations
under a changing climate in temperate, deciduous forests, Hydrol. Process.,
25, 1466–1478, https://doi.org/10.1002/hyp.7913, 2011.
Sheffield, J., Wood, E. F., and Roderick, M. L.: Little change in global
drought over the past 60 years, Nature, 491, 435–438,
https://doi.org/10.1038/nature11575, 2012.
Shi, Y., Davis, K. J., Zhang, F., and Duffy, C. J.: Evaluation of the
Parameter Sensitivities of a Coupled Land Surface Hydrologic Model at a
Critical Zone Observatory, J. Hydrometeorol., 15, 279–299,
https://doi.org/10.1175/JHM-D-12-0177.1, 2014.
Shuttleworth, W. J. and Wallace, J. S.: Evaporation from sparse crops – an
energy combination theory, Q. J. Roy. Meteor. Soc., 111, 839–855, 1985.
Šimůnek, J., Šejna, M., Saito, H., Sakai, M., and van Genuchten, M. Th.: The HYDRUS-1D software package for simulating the one-dimensional
movement of water, heat, and multiple solutes in variably-saturated media,
version 4.17, HYDRUS Software Series 3, Department of Environment Sciences,
University of California Riverside, 2013.
Thom, A. S.: Momentum, mass, and heat exchange of plant communities, in:
Vegetation and the Atmosphere, edited by: Monteith, J. L., Academic Press,
London, 57–109, 1975.
Thompson, J. R., Green, A. J., and Kingston, D. G.: Potential
evapotranspiration-related uncertainty in climate change impacts on river
flow: An assessment for the Mekong River basin, J. Hydrol., 510, 259–279,
https://doi.org/10.1016/j.jhydrol.2013.12.010, 2014.
Thornthwaite, C. W.: An approach toward a rational classification of
climate, Geogr. Rev., 38, 55–94, 1948.
Tuzet, A., Perrier, A., and Leuning, R.: A coupled model of stomatal
conductance, photosynthesis and transpiration, Plant Cell Environ., 26,
1097–1116, https://doi.org/10.1046/j.1365-3040.2003.01035.x, 2003.
van Genuchten, M. T.: A closed-form equation for predicting hydraulic
conductivity of unsaturated soils, Soil Sci. Soc. Am. J., 44, 892–898, 1980.
Verbist, K. M. J., Pierreux, S., Cornelis, W. M., McLaren, R., and Gabriels,
D.: Parameterizing a coupled surface-subsurface three-dimenional soil
hydrological model to evaluate the efficiency of a runoff water harvesting
technique, Vadose Zone J., 11, vzj2011.0141,
https://doi.org/10.2136/vzj2011.0141, 2012.
Verhoef, A. and Egea, G.: Modeling plant transpiration under limited soil
water: Comparison of different plant and soil hydraulic parameterizations
and preliminary implications for their use in land surface models, Agr.
Forest Meteorol., 191, 22–32,
https://doi.org/10.1016/j.agrformet.2014.02.009, 2014.
Wagener, T.: Can we model the hydrological impacts of environmental change?,
Hydrol. Proc., 21, 3233–3236, https://doi.org/10.1002/hyp.6873, 2007.
Wang, J. and Bras, R.: A model of surface heat fluxes based on the theory
of maximum entropy production, Water Resour. Res., 45, W11422,
https://doi.org/10.1029/2009WR007900, 2009.
Wang, J. and Bras, R.: A model of evapotranspiration based on the theory of
maximum entropy production, Water Resour. Res., 47, W03521,
https://doi.org/10.1029/2010WR009392, 2011.
Wang, J., Bras, R., Sivandran, G., and Knox, R.: A simple method for the
estimation of thermal inertia, Geophys. Res. Lett., 37, L05404,
https://doi.org/10.1029/2009GL041851, 2010.
Wang, J., Bras, R., Nieves, V., and Deng, Y.: A model of energy budgets over
water, snow, and ice surfaces, J. Geophys. Res.-Atmos., 119, 6034–6051,
https://doi.org/10.1002/2013JD021150, 2014.
Wang, H., Tetzlaff, D., and Soulsby, C.: Testing the maximum entropy
production approach for estimating evapotranspiration from closed canopy
shrubland in a low-energy humid environment, Hydrol. Process., 31,
4613–4621, https://doi.org/10.1002/hyp.11363, 2017.
Wang, Y. and Leuning, R.: A two-leaf model for canopy conductance,
photosynthesis and partioning of available energy, II. Comparison with
measurements, Agr. Forest Meteorol., 91, 89–11,
https://doi.org/10.1016/S0168-1923(98)00061-6, 1998.
Westhoff, M. C. and Zehe, E.: Maximum entropy production: can it be used to constrain conceptual hydrological models?, Hydrol. Earth Syst. Sci., 17, 3141–3157, https://doi.org/10.5194/hess-17-3141-2013, 2013.
Wilson, K. B. and Baldocchi, D. D.: Seasonal and interannual variability of
energy fluxes over a broadleaved temperate deciduous forest in North
America, Agr. Forest Meteorol., 100, 1–18,
https://doi.org/10.1016/S0168-1923(99)00088-X, 2000.
Wilson, K. B., Hanson, P. J., Mulholland, P. J., Baldocchi, D. D.,
and Wullschleger, S. D.: A comparison of methods for determining forest
evapotranspiration and its components: sap-flow, soil water budget, eddy
covariance and catchment water balance, Agr. Forest Meteorol., 106,
153–168, 2001.
Xu, C. and Singh, V. P.: Evaluation and generalization of temperature-based
methods for calculating evaporation, Hydrol. Process., 15, 305–319, 2001.
Xu, D., Agee, E., Wang, J., and Ivanov, V. Y.: Estimation of Evapotranspiration of Amazon
Rainforest Using the Maximum Entropy Production Method, Geophys. Res. Lett
46, 1402–1412, https://doi.org/10.1029/2018GL080907, 2019.
Zabel, F. and Mauser, W.: 2-way coupling the hydrological land surface model PROMET with the regional climate model MM5, Hydrol. Earth Syst. Sci., 17, 1705–1714, https://doi.org/10.5194/hess-17-1705-2013, 2013.
Short summary
We tested a new method to simulate terrestrial evaporation in a hydrological model. Given physical constraints imposed by this model, it should help avoid the overestimation of terrestrial evaporation in climate change assessments. We show the good performance of the model by comparing simulated terrestrial evaporation to observations at three sites with different climates and vegetation. Overall, this research proposes a method that will improve our ability to make streamflow projections.
We tested a new method to simulate terrestrial evaporation in a hydrological model. Given...
