Articles | Volume 20, issue 3
https://doi.org/10.5194/hess-20-1241-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-20-1241-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
29 Mar 2016
Research article |
| 29 Mar 2016
Modeling the distributed effects of forest thinning on the long-term water balance and streamflow extremes for a semi-arid basin in the southwestern US
Hernan A. Moreno
CORRESPONDING AUTHOR
Department of Geography and Environmental Sustainability, University of Oklahoma, Norman, OK 73019, USA
Hoshin V. Gupta
Department of Hydrology and Water Resources, University of Arizona, Tucson, AZ 85721, USA
Dave D. White
Decision Center for a Desert City, Arizona State University, Tempe, AZ 85287, USA
David A. Sampson
Decision Center for a Desert City, Arizona State University, Tempe, AZ 85287, USA
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Ashish Manoj J, Ralf Loritz, Hoshin Gupta, and Erwin Zehe
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-375, https://doi.org/10.5194/hess-2024-375, 2024
Revised manuscript under review for HESS
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Traditional hydrological models typically operate in a forward mode, simulating streamflow and other catchment fluxes based on precipitation input. In this study, we explored the possibility of reversing this process—inferring precipitation from streamflow data—to improve flood event modelling. We then used the generated precipitation series to run hydrological models, resulting in more accurate estimates of streamflow and soil moisture.
Luis Andres De la Fuente, Mohammad Reza Ehsani, Hoshin Vijai Gupta, and Laura Elizabeth Condon
Hydrol. Earth Syst. Sci., 28, 945–971, https://doi.org/10.5194/hess-28-945-2024, https://doi.org/10.5194/hess-28-945-2024, 2024
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Long short-term memory (LSTM) is a widely used machine-learning model in hydrology, but it is difficult to extract knowledge from it. We propose HydroLSTM, which represents processes like a hydrological reservoir. Models based on HydroLSTM perform similarly to LSTM while requiring fewer cell states. The learned parameters are informative about the dominant hydrology of a catchment. Our results show how parsimony and hydrological knowledge extraction can be achieved by using the new structure.
Luis Andres De la Fuente, Mohammad Reza Ehsani, Hoshin Vijai Gupta, and Laura E. Condon
EGUsphere, https://doi.org/10.5194/egusphere-2023-666, https://doi.org/10.5194/egusphere-2023-666, 2023
Preprint archived
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Long Short-Term Memory (LSTM) is a widely-used machine learning (ML) model in hydrology. However, it is difficult to extract knowledge from it. We propose HydroLSTM which represents processes analogous to a hydrological reservoir. Models using HydroLSTM perform similarly to LSTM but require fewer cell states. The learned parameters are informative about the dominant hydroclimatic characteristics of a catchment. Our results demonstrate how hydrological knowledge is encoded in the new structure.
Jonathan M. Frame, Frederik Kratzert, Daniel Klotz, Martin Gauch, Guy Shalev, Oren Gilon, Logan M. Qualls, Hoshin V. Gupta, and Grey S. Nearing
Hydrol. Earth Syst. Sci., 26, 3377–3392, https://doi.org/10.5194/hess-26-3377-2022, https://doi.org/10.5194/hess-26-3377-2022, 2022
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The most accurate rainfall–runoff predictions are currently based on deep learning. There is a concern among hydrologists that deep learning models may not be reliable in extrapolation or for predicting extreme events. This study tests that hypothesis. The deep learning models remained relatively accurate in predicting extreme events compared with traditional models, even when extreme events were not included in the training set.
Jianjun Zhang, Guangyao Gao, Bojie Fu, Cong Wang, Hoshin V. Gupta, Xiaoping Zhang, and Rui Li
Hydrol. Earth Syst. Sci., 24, 809–826, https://doi.org/10.5194/hess-24-809-2020, https://doi.org/10.5194/hess-24-809-2020, 2020
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We proposed an approach that integrates universal multifractals and a segmentation algorithm to precisely identify extreme precipitation (EP) and assess spatiotemporal EP variation over the Loess Plateau, using daily data. Our results explain how EP contributes to the widely distributed severe natural hazards. These findings are of great significance for ecological management in the Loess Plateau. Our approach is also helpful for spatiotemporal EP assessment at the regional scale.
Gabriela Chiquito Gesualdo, Paulo Tarso Oliveira, Dulce Buchala Bicca Rodrigues, and Hoshin Vijai Gupta
Hydrol. Earth Syst. Sci., 23, 4955–4968, https://doi.org/10.5194/hess-23-4955-2019, https://doi.org/10.5194/hess-23-4955-2019, 2019
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We investigate the influence of anticipated climate change on water security in the Jaguari Basin, which is the main source of freshwater for 9 million people in the São Paulo metropolitan region. Our findings indicate an expansion of the basin critical period, and identify October and November as the most vulnerable months. There is an urgent need to implement efficient mitigation and adaptation policies that recognize the annual pattern of variation between insecure and secure periods.
Ralf Loritz, Axel Kleidon, Conrad Jackisch, Martijn Westhoff, Uwe Ehret, Hoshin Gupta, and Erwin Zehe
Hydrol. Earth Syst. Sci., 23, 3807–3821, https://doi.org/10.5194/hess-23-3807-2019, https://doi.org/10.5194/hess-23-3807-2019, 2019
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In this study, we develop a topographic index explaining hydrological similarity within a energy-centered framework, with the observation that the majority of potential energy is dissipated when rainfall becomes runoff.
Naoki Mizukami, Oldrich Rakovec, Andrew J. Newman, Martyn P. Clark, Andrew W. Wood, Hoshin V. Gupta, and Rohini Kumar
Hydrol. Earth Syst. Sci., 23, 2601–2614, https://doi.org/10.5194/hess-23-2601-2019, https://doi.org/10.5194/hess-23-2601-2019, 2019
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We find that Nash–Sutcliffe (NSE)-based model calibrations result in poor reproduction of high-flow events, such as the annual peak flows that are used for flood frequency estimation. The use of Kling–Gupta efficiency (KGE) results in annual peak flow estimates that are better than from NSE, with only a slight degradation in performance with respect to other related metrics.
Ralf Loritz, Hoshin Gupta, Conrad Jackisch, Martijn Westhoff, Axel Kleidon, Uwe Ehret, and Erwin Zehe
Hydrol. Earth Syst. Sci., 22, 3663–3684, https://doi.org/10.5194/hess-22-3663-2018, https://doi.org/10.5194/hess-22-3663-2018, 2018
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In this study we explore the role of spatially distributed information on hydrological modeling. For that, we develop and test an approach which draws upon information theory and thermodynamic reasoning. We show that the proposed set of methods provide a powerful framework for understanding and diagnosing how and when process organization and functional similarity of hydrological systems emerge in time and, hence, when which landscape characteristic is important in a model application.
Tirthankar Roy, Hoshin V. Gupta, Aleix Serrat-Capdevila, and Juan B. Valdes
Hydrol. Earth Syst. Sci., 21, 879–896, https://doi.org/10.5194/hess-21-879-2017, https://doi.org/10.5194/hess-21-879-2017, 2017
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This study presents and compares two different approaches to using satellite-derived estimates of actual evapotranspiration (ET) to improve the performance of a conceptual rainfall–runoff model. In the first approach, the ET process within the model is constrained using the satellite ET estimates, while in the second one, the model structure is altered. Results indicate that both the approaches improve streamflow forecasting, while the second one also improves the ET simulations significantly.
Z. H. He, F. Q. Tian, H. V. Gupta, H. C. Hu, and H. P. Hu
Hydrol. Earth Syst. Sci., 19, 1807–1826, https://doi.org/10.5194/hess-19-1807-2015, https://doi.org/10.5194/hess-19-1807-2015, 2015
S. Gharari, M. Shafiei, M. Hrachowitz, R. Kumar, F. Fenicia, H. V. Gupta, and H. H. G. Savenije
Hydrol. Earth Syst. Sci., 18, 4861–4870, https://doi.org/10.5194/hess-18-4861-2014, https://doi.org/10.5194/hess-18-4861-2014, 2014
U. Ehret, H. V. Gupta, M. Sivapalan, S. V. Weijs, S. J. Schymanski, G. Blöschl, A. N. Gelfan, C. Harman, A. Kleidon, T. A. Bogaard, D. Wang, T. Wagener, U. Scherer, E. Zehe, M. F. P. Bierkens, G. Di Baldassarre, J. Parajka, L. P. H. van Beek, A. van Griensven, M. C. Westhoff, and H. C. Winsemius
Hydrol. Earth Syst. Sci., 18, 649–671, https://doi.org/10.5194/hess-18-649-2014, https://doi.org/10.5194/hess-18-649-2014, 2014
H. V. Gupta, C. Perrin, G. Blöschl, A. Montanari, R. Kumar, M. Clark, and V. Andréassian
Hydrol. Earth Syst. Sci., 18, 463–477, https://doi.org/10.5194/hess-18-463-2014, https://doi.org/10.5194/hess-18-463-2014, 2014
Z. He, F. Tian, H. C. Hu, H. V. Gupta, and H. P. Hu
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-11-1253-2014, https://doi.org/10.5194/hessd-11-1253-2014, 2014
Revised manuscript not accepted
A. Wutich, A. C. White, D. D. White, K. L. Larson, A. Brewis, and C. Roberts
Hydrol. Earth Syst. Sci., 18, 109–120, https://doi.org/10.5194/hess-18-109-2014, https://doi.org/10.5194/hess-18-109-2014, 2014
V. López-Burgos, H. V. Gupta, and M. Clark
Hydrol. Earth Syst. Sci., 17, 1809–1823, https://doi.org/10.5194/hess-17-1809-2013, https://doi.org/10.5194/hess-17-1809-2013, 2013
Related subject area
Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
Catchments do not strictly follow Budyko curves over multiple decades, but deviations are minor and predictable
Scale dependency in modeling nivo-glacial hydrological systems: the case of the Arolla basin, Switzerland
Extended-range forecasting of stream water temperature with deep-learning models
Technical note: An approach for handling multiple temporal frequencies with different input dimensions using a single LSTM cell
Projections of streamflow intermittence under climate change in European drying river networks
Economic valuation of subsurface water contributions to watershed ecosystem services using a fully integrated groundwater–surface-water model
Analyzing the generalization capabilities of a hybrid hydrological model for extrapolation to extreme events
CH-RUN: a deep-learning-based spatially contiguous runoff reconstruction for Switzerland
Runoff component quantification and future streamflow projection in a large mountainous basin based on a multidata-constrained cryospheric–hydrological model
Exploring the potential processes controlling changes in precipitation–runoff relationships in non-stationary environments
A diversity-centric strategy for the selection of spatio-temporal training data for LSTM-based streamflow forecasting
Simulating the Tone River eastward diversion project in Japan carried out 4 centuries ago
Lack of robustness of hydrological models: a large-sample diagnosis and an attempt to identify hydrological and climatic drivers
Achieving water budget closure through physical hydrological process modelling: insights from a large-sample study
Heavy-tailed flood peak distributions: what is the effect of the spatial variability of rainfall and runoff generation?
State updating of the Xin'anjiang model: joint assimilating streamflow and multi-source soil moisture data via the asynchronous ensemble Kalman filter with enhanced error models
Improving the hydrological consistency of a process-based solute-transport model by simultaneous calibration of streamflow and stream concentrations
Leveraging a time-series event separation method to disentangle time-varying hydrologic controls on streamflow – application to wildfire-affected catchments
The significance of the leaf area index for evapotranspiration estimation in SWAT-T for characteristic land cover types of West Africa
Improved representation of soil moisture processes through incorporation of cosmic-ray neutron count measurements in a large-scale hydrologic model
Spatio-temporal patterns and trends of streamflow in water-scarce Mediterranean basins
A large-sample modelling approach towards integrating streamflow and evaporation data for the Spanish catchments
Seasonal variation in land cover estimates reveals sensitivities and opportunities for environmental models
Estimating response times, flow velocities, and roughness coefficients of Canadian Prairie basins
Learning landscape features from streamflow with autoencoders
On the use of streamflow transformations for hydrological model calibration
Simulation-based inference for parameter estimation of complex watershed simulators
Multi-scale soil moisture data and process-based modeling reveal the importance of lateral groundwater flow in a subarctic catchment
CONCN: A high-resolution, integrated surface water-groundwater ParFlow modeling platform of continental China
Catchment response to climatic variability: implications for root zone storage and streamflow predictions
Hybrid hydrological modeling for large alpine basins: a semi-distributed approach
Technical note: How many models do we need to simulate hydrologic processes across large geographical domains?
Karst aquifer discharge response to rainfall interpreted as anomalous transport
HESS Opinions: Never train a Long Short-Term Memory (LSTM) network on a single basin
Large-sample hydrology – a few camels or a whole caravan?
Comment on “Are soils overrated in hydrology?” by Gao et al. (2023)
Multi-decadal fluctuations in root zone storage capacity through vegetation adaptation to hydro-climatic variability have minor effects on the hydrological response in the Neckar River basin, Germany
Technical note: What does the Standardized Streamflow Index actually reflect? Insights and implications for hydrological drought analysis
Projected future changes in the cryosphere and hydrology of a mountainous catchment in the upper Heihe River, China
On the importance of plant phenology in the evaporative process of a semi-arid woodland: could it be why satellite-based evaporation estimates in the miombo differ?
Assessing the adequacy of traditional hydrological models for climate change impact studies: A case for long-short-term memory (LSTM) neural networks
Regionalization of GR4J model parameters for river flow prediction in Paraná, Brazil
Evolution of river regimes in the Mekong River basin over 8 decades and the role of dams in recent hydrological extremes
Skill of seasonal flow forecasts at catchment scale: an assessment across South Korea
To what extent do flood-inducing storm events change future flood hazards?
When ancient numerical demons meet physics-informed machine learning: adjoint-based gradients for implicit differentiable modeling
Assessing the value of high-resolution rainfall and streamflow data for hydrological modeling: An analysis based on 63 catchments in southeast China
Assessing the impact of climate change on high return levels of peak flows in Bavaria applying the CRCM5 large ensemble
Impacts of climate and land surface change on catchment evapotranspiration and runoff from 1951 to 2020 in Saxony, Germany
Quantifying and reducing flood forecast uncertainty by the CHUP-BMA method
Muhammad Ibrahim, Miriam Coenders-Gerrits, Ruud van der Ent, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 29, 1703–1723, https://doi.org/10.5194/hess-29-1703-2025, https://doi.org/10.5194/hess-29-1703-2025, 2025
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The quantification of precipitation into evaporation and runoff is vital for water resources management. The Budyko framework, based on aridity and evaporative indices of a catchment, can be an ideal tool for that. However, recent research highlights deviations of catchments from the expected evaporative index, casting doubt on its reliability. This study quantifies deviations of 2387 catchments, finding them minor and predictable. Integrating these into predictions upholds the framework's efficacy.
Anne-Laure Argentin, Pascal Horton, Bettina Schaefli, Jamal Shokory, Felix Pitscheider, Leona Repnik, Mattia Gianini, Simone Bizzi, Stuart N. Lane, and Francesco Comiti
Hydrol. Earth Syst. Sci., 29, 1725–1748, https://doi.org/10.5194/hess-29-1725-2025, https://doi.org/10.5194/hess-29-1725-2025, 2025
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In this article, we show that by taking the optimal parameters calibrated with a semi-lumped model for the discharge at a catchment's outlet, we can accurately simulate runoff at various points within the study area, including three nested and three neighboring catchments. In addition, we demonstrate that employing more intricate melt models, which better represent physical processes, enhances the transfer of parameters in the simulation, until we observe overparameterization.
Ryan S. Padrón, Massimiliano Zappa, Luzi Bernhard, and Konrad Bogner
Hydrol. Earth Syst. Sci., 29, 1685–1702, https://doi.org/10.5194/hess-29-1685-2025, https://doi.org/10.5194/hess-29-1685-2025, 2025
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We generate operational forecasts of daily maximum stream water temperature for 32 consecutive days at 54 stations in Switzerland with our best-performing data-driven model. The average forecast error is 0.38 °C for 1 d ahead and increases to 0.90 °C for 32 d ahead given the uncertainty in the meteorological variables influencing water temperature. Here we compare the skill of several models, how well they can forecast at new and ungauged stations, and the importance of different model inputs.
Eduardo Acuña Espinoza, Frederik Kratzert, Daniel Klotz, Martin Gauch, Manuel Álvarez Chaves, Ralf Loritz, and Uwe Ehret
Hydrol. Earth Syst. Sci., 29, 1749–1758, https://doi.org/10.5194/hess-29-1749-2025, https://doi.org/10.5194/hess-29-1749-2025, 2025
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Long short-term memory (LSTM) networks have demonstrated state-of-the-art performance for rainfall-runoff hydrological modelling. However, most studies focus on predictions at a daily scale, limiting the benefits of sub-daily (e.g. hourly) predictions in applications like flood forecasting. In this study, we introduce a new architecture, multi-frequency LSTM (MF-LSTM), designed to use inputs of various temporal frequencies to produce sub-daily (e.g. hourly) predictions at a moderate computational cost.
Louise Mimeau, Annika Künne, Alexandre Devers, Flora Branger, Sven Kralisch, Claire Lauvernet, Jean-Philippe Vidal, Núria Bonada, Zoltán Csabai, Heikki Mykrä, Petr Pařil, Luka Polović, and Thibault Datry
Hydrol. Earth Syst. Sci., 29, 1615–1636, https://doi.org/10.5194/hess-29-1615-2025, https://doi.org/10.5194/hess-29-1615-2025, 2025
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Our study projects how climate change will affect the drying of river segments and stream networks in Europe, using advanced modelling techniques to assess changes in six river networks across diverse ecoregions. We found that drying events will become more frequent and intense and will start earlier or last longer, potentially turning some river sections from perennial to intermittent. The results are valuable for river ecologists for evaluating the ecological health of river ecosystem.
Tariq Aziz, Steven K. Frey, David R. Lapen, Susan Preston, Hazen A. J. Russell, Omar Khader, Andre R. Erler, and Edward A. Sudicky
Hydrol. Earth Syst. Sci., 29, 1549–1568, https://doi.org/10.5194/hess-29-1549-2025, https://doi.org/10.5194/hess-29-1549-2025, 2025
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This study determines the value of subsurface water for ecosystem services' supply in an agricultural watershed in Ontario, Canada. Using a fully integrated water model and an economic valuation approach, the research highlights subsurface water's critical role in maintaining watershed ecosystem services. The study informs on the sustainable use of subsurface water and introduces a new method for managing watershed ecosystem services.
Eduardo Acuña Espinoza, Ralf Loritz, Frederik Kratzert, Daniel Klotz, Martin Gauch, Manuel Álvarez Chaves, and Uwe Ehret
Hydrol. Earth Syst. Sci., 29, 1277–1294, https://doi.org/10.5194/hess-29-1277-2025, https://doi.org/10.5194/hess-29-1277-2025, 2025
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Data-driven techniques have shown the potential to outperform process-based models in rainfall–runoff simulations. Hybrid models, combining both approaches, aim to enhance accuracy and maintain interpretability. Expanding the set of test cases to evaluate hybrid models under different conditions, we test their generalization capabilities for extreme hydrological events.
Basil Kraft, Michael Schirmer, William H. Aeberhard, Massimiliano Zappa, Sonia I. Seneviratne, and Lukas Gudmundsson
Hydrol. Earth Syst. Sci., 29, 1061–1082, https://doi.org/10.5194/hess-29-1061-2025, https://doi.org/10.5194/hess-29-1061-2025, 2025
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This study reconstructs daily runoff in Switzerland (1962–2023) using a deep-learning model, providing a spatially contiguous dataset on a medium-sized catchment grid. The model outperforms traditional hydrological methods, revealing shifts in Swiss water resources, including more frequent dry years and declining summer runoff. The reconstruction is publicly available.
Mengjiao Zhang, Yi Nan, and Fuqiang Tian
Hydrol. Earth Syst. Sci., 29, 1033–1060, https://doi.org/10.5194/hess-29-1033-2025, https://doi.org/10.5194/hess-29-1033-2025, 2025
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Owing to differences in the existing published results, we conducted a detailed analysis of the runoff components and future trends in the Yarlung Tsangpo River basin and found that the contributions of snowmelt and glacier melt runoff to streamflow (both ~5 %) are limited and much lower than previous results. The streamflow in this area will continuously increase in the future, but the overestimated contribution of glacier melt could lead to an underestimation of this increasing trend.
Tian Lan, Tongfang Li, Hongbo Zhang, Jiefeng Wu, Yongqin David Chen, and Chong-Yu Xu
Hydrol. Earth Syst. Sci., 29, 903–924, https://doi.org/10.5194/hess-29-903-2025, https://doi.org/10.5194/hess-29-903-2025, 2025
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This study develops an integrated framework based on the novel Driving index for changes in Precipitation–Runoff Relationships (DPRR) to explore the controlling changes in precipitation–runoff relationships in non-stationary environments. According to the quantitative results of the candidate driving factors, the possible process explanations for changes in the precipitation–runoff relationships are deduced. The main contribution offers a comprehensive understanding of hydrological processes.
Everett Snieder and Usman T. Khan
Hydrol. Earth Syst. Sci., 29, 785–798, https://doi.org/10.5194/hess-29-785-2025, https://doi.org/10.5194/hess-29-785-2025, 2025
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Improving the accuracy of flood forecasts is paramount to minimising flood damage. Machine learning (ML) models are increasingly being applied for flood forecasting. Such models are typically trained on large historic hydrometeorological datasets. In this work, we evaluate methods for selecting training datasets that maximise the spatio-temporal diversity of the represented hydrological processes. Empirical results showcase the importance of hydrological diversity in training ML models.
Joško Trošelj and Naota Hanasaki
Hydrol. Earth Syst. Sci., 29, 753–766, https://doi.org/10.5194/hess-29-753-2025, https://doi.org/10.5194/hess-29-753-2025, 2025
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This study presents the first distributed hydrological simulation which confirms claims raised by historians that the eastward diversion project of the Tone River in Japan was conducted 4 centuries ago to increase low flows and subsequent travelling possibilities surrounding the capital, Edo (Tokyo), using inland navigation. We showed that great steps forward can be made for improving quality of life with small human engineering waterworks and small interventions in the regime of natural flows.
Léonard Santos, Vazken Andréassian, Torben O. Sonnenborg, Göran Lindström, Alban de Lavenne, Charles Perrin, Lila Collet, and Guillaume Thirel
Hydrol. Earth Syst. Sci., 29, 683–700, https://doi.org/10.5194/hess-29-683-2025, https://doi.org/10.5194/hess-29-683-2025, 2025
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This work investigates how hydrological models are transferred to a period in which climate conditions are different to the ones of the period in which they were set up. The robustness assessment test built to detect dependencies between model error and climatic drivers was applied to three hydrological models in 352 catchments in Denmark, France and Sweden. Potential issues are seen in a significant number of catchments for the models, even though the catchments differ for each model.
Xudong Zheng, Dengfeng Liu, Shengzhi Huang, Hao Wang, and Xianmeng Meng
Hydrol. Earth Syst. Sci., 29, 627–653, https://doi.org/10.5194/hess-29-627-2025, https://doi.org/10.5194/hess-29-627-2025, 2025
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Water budget non-closure is a widespread phenomenon among multisource datasets which undermines the robustness of hydrological inferences. This study proposes a Multisource Dataset Correction Framework grounded in Physical Hydrological Process Modelling to enhance water budget closure, termed PHPM-MDCF. We examined the efficiency and robustness of the framework using the CAMELS dataset and achieved an average reduction of 49 % in total water budget residuals across 475 CONUS basins.
Elena Macdonald, Bruno Merz, Viet Dung Nguyen, and Sergiy Vorogushyn
Hydrol. Earth Syst. Sci., 29, 447–463, https://doi.org/10.5194/hess-29-447-2025, https://doi.org/10.5194/hess-29-447-2025, 2025
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Flood peak distributions indicate how likely the occurrence of an extreme flood is at a certain river. If the distribution has a so-called heavy tail, extreme floods are more likely than might be anticipated. We find heavier tails in small catchments compared to large catchments, and spatially variable rainfall leads to a lower occurrence probability of extreme floods. Spatially variable runoff does not show effects. The results can improve estimations of probabilities of extreme floods.
Junfu Gong, Xingwen Liu, Cheng Yao, Zhijia Li, Albrecht H. Weerts, Qiaoling Li, Satish Bastola, Yingchun Huang, and Junzeng Xu
Hydrol. Earth Syst. Sci., 29, 335–360, https://doi.org/10.5194/hess-29-335-2025, https://doi.org/10.5194/hess-29-335-2025, 2025
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Our study introduces a new method to improve flood forecasting by combining soil moisture and streamflow data using an advanced data assimilation technique. By integrating field and reanalysis soil moisture data and assimilating this with streamflow measurements, we aim to enhance the accuracy of flood predictions. This approach reduces the accumulation of past errors in the initial conditions at the start of the forecast, helping to better prepare for and respond to floods.
Jordy Salmon-Monviola, Ophélie Fovet, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 29, 127–158, https://doi.org/10.5194/hess-29-127-2025, https://doi.org/10.5194/hess-29-127-2025, 2025
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To increase the predictive power of hydrological models, it is necessary to improve their consistency, i.e. their physical realism, which is measured by the ability of the model to reproduce observed system dynamics. Using a model to represent the dynamics of water and nitrate and dissolved organic carbon concentrations in an agricultural catchment, we showed that using solute-concentration data for calibration is useful to improve the hydrological consistency of the model.
Haley A. Canham, Belize Lane, Colin B. Phillips, and Brendan P. Murphy
Hydrol. Earth Syst. Sci., 29, 27–43, https://doi.org/10.5194/hess-29-27-2025, https://doi.org/10.5194/hess-29-27-2025, 2025
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The influence of watershed disturbances has proved challenging to disentangle from natural streamflow variability. This study evaluates the influence of time-varying hydrologic controls on rainfall–runoff in undisturbed and wildfire-disturbed watersheds using a novel time-series event separation method. Across watersheds, water year type and season influenced rainfall–runoff patterns. Accounting for these controls enabled clearer isolation of wildfire effects.
Fabian Merk, Timo Schaffhauser, Faizan Anwar, Ye Tuo, Jean-Martial Cohard, and Markus Disse
Hydrol. Earth Syst. Sci., 28, 5511–5539, https://doi.org/10.5194/hess-28-5511-2024, https://doi.org/10.5194/hess-28-5511-2024, 2024
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Evapotranspiration (ET) is computed from the vegetation (plant transpiration) and soil (soil evaporation). In western Africa, plant transpiration correlates with vegetation growth. Vegetation is often represented using the leaf area index (LAI). In this study, we evaluate the importance of the LAI for ET calculation. We take a close look at this interaction and highlight its relevance. Our work contributes to the understanding of terrestrial water cycle processes .
Eshrat Fatima, Rohini Kumar, Sabine Attinger, Maren Kaluza, Oldrich Rakovec, Corinna Rebmann, Rafael Rosolem, Sascha E. Oswald, Luis Samaniego, Steffen Zacharias, and Martin Schrön
Hydrol. Earth Syst. Sci., 28, 5419–5441, https://doi.org/10.5194/hess-28-5419-2024, https://doi.org/10.5194/hess-28-5419-2024, 2024
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This study establishes a framework to incorporate cosmic-ray neutron measurements into the mesoscale Hydrological Model (mHM). We evaluate different approaches to estimate neutron counts within the mHM using the Desilets equation, with uniformly and non-uniformly weighted average soil moisture, and the physically based code COSMIC. The data improved not only soil moisture simulations but also the parameterisation of evapotranspiration in the model.
Laia Estrada, Xavier Garcia, Joan Saló-Grau, Rafael Marcé, Antoni Munné, and Vicenç Acuña
Hydrol. Earth Syst. Sci., 28, 5353–5373, https://doi.org/10.5194/hess-28-5353-2024, https://doi.org/10.5194/hess-28-5353-2024, 2024
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Hydrological modelling is a powerful tool to support decision-making. We assessed spatio-temporal patterns and trends of streamflow for 2001–2022 with a hydrological model, integrating stakeholder expert knowledge on management operations. The results provide insight into how climate change and anthropogenic pressures affect water resources availability in regions vulnerable to water scarcity, thus raising the need for sustainable management practices and integrated hydrological modelling.
Patricio Yeste, Matilde García-Valdecasas Ojeda, Sonia R. Gámiz-Fortis, Yolanda Castro-Díez, Axel Bronstert, and María Jesús Esteban-Parra
Hydrol. Earth Syst. Sci., 28, 5331–5352, https://doi.org/10.5194/hess-28-5331-2024, https://doi.org/10.5194/hess-28-5331-2024, 2024
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Integrating streamflow and evaporation data can help improve the physical realism of hydrologic models. We investigate the capabilities of the Variable Infiltration Capacity (VIC) to reproduce both hydrologic variables for 189 headwater located in Spain. Results from sensitivity analyses indicate that adding two vegetation parameters is enough to improve the representation of evaporation and that the performance of VIC exceeded that of the largest modelling effort currently available in Spain.
Daniel T. Myers, David Jones, Diana Oviedo-Vargas, John Paul Schmit, Darren L. Ficklin, and Xuesong Zhang
Hydrol. Earth Syst. Sci., 28, 5295–5310, https://doi.org/10.5194/hess-28-5295-2024, https://doi.org/10.5194/hess-28-5295-2024, 2024
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We studied how streamflow and water quality models respond to land cover data collected by satellites during the growing season versus the non-growing season. The land cover data showed more trees during the growing season and more built areas during the non-growing season. We next found that the use of non-growing season data resulted in a higher modeled nutrient export to streams. Knowledge of these sensitivities would be particularly important when models inform water resource management.
Kevin R. Shook, Paul H. Whitfield, Christopher Spence, and John W. Pomeroy
Hydrol. Earth Syst. Sci., 28, 5173–5192, https://doi.org/10.5194/hess-28-5173-2024, https://doi.org/10.5194/hess-28-5173-2024, 2024
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Recent studies suggest that the velocities of water running off landscapes in the Canadian Prairies may be much smaller than generally assumed. Analyses of historical flows for 23 basins in central Alberta show that many of the rivers responded more slowly and that the flows are much slower than would be estimated from equations developed elsewhere. The effects of slow flow velocities on the development of hydrological models of the region are discussed, as are the possible causes.
Alberto Bassi, Marvin Höge, Antonietta Mira, Fabrizio Fenicia, and Carlo Albert
Hydrol. Earth Syst. Sci., 28, 4971–4988, https://doi.org/10.5194/hess-28-4971-2024, https://doi.org/10.5194/hess-28-4971-2024, 2024
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The goal is to remove the impact of meteorological drivers in order to uncover the unique landscape fingerprints of a catchment from streamflow data. Our results reveal an optimal two-feature summary for most catchments, with a third feature associated with aridity and intermittent flow that is needed for challenging cases. Baseflow index, aridity, and soil or vegetation attributes strongly correlate with learnt features, indicating their importance for streamflow prediction.
Guillaume Thirel, Léonard Santos, Olivier Delaigue, and Charles Perrin
Hydrol. Earth Syst. Sci., 28, 4837–4860, https://doi.org/10.5194/hess-28-4837-2024, https://doi.org/10.5194/hess-28-4837-2024, 2024
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We discuss how mathematical transformations impact calibrated hydrological model simulations. We assess how 11 transformations behave over the complete range of streamflows. Extreme transformations lead to models that are specialized for extreme streamflows but show poor performance outside the range of targeted streamflows and are less robust. We show that no a priori assumption about transformations can be taken as warranted.
Robert Hull, Elena Leonarduzzi, Luis De La Fuente, Hoang Viet Tran, Andrew Bennett, Peter Melchior, Reed M. Maxwell, and Laura E. Condon
Hydrol. Earth Syst. Sci., 28, 4685–4713, https://doi.org/10.5194/hess-28-4685-2024, https://doi.org/10.5194/hess-28-4685-2024, 2024
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Large-scale hydrologic simulators are a needed tool to explore complex watershed processes and how they may evolve with a changing climate. However, calibrating them can be difficult because they are costly to run and have many unknown parameters. We implement a state-of-the-art approach to model calibration using neural networks with a set of experiments based on streamflow in the upper Colorado River basin.
Jari-Pekka Nousu, Kersti Leppä, Hannu Marttila, Pertti Ala-aho, Giulia Mazzotti, Terhikki Manninen, Mika Korkiakoski, Mika Aurela, Annalea Lohila, and Samuli Launiainen
Hydrol. Earth Syst. Sci., 28, 4643–4666, https://doi.org/10.5194/hess-28-4643-2024, https://doi.org/10.5194/hess-28-4643-2024, 2024
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We used hydrological models, field measurements, and satellite-based data to study the soil moisture dynamics in a subarctic catchment. The role of groundwater was studied with different ways to model the groundwater dynamics and via comparisons to the observational data. The choice of groundwater model was shown to have a strong impact, and representation of lateral flow was important to capture wet soil conditions. Our results provide insights for ecohydrological studies in boreal regions.
Chen Yang, Zitong Jia, Wenjie Xu, Zhongwang Wei, Xiaolang Zhang, Yiguang Zou, Jeffrey McDonnell, Laura Condon, Yongjiu Dai, and Reed Maxwell
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-292, https://doi.org/10.5194/hess-2024-292, 2024
Revised manuscript accepted for HESS
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We developed the first high-resolution, integrated surface water-groundwater hydrologic model of the entire continental China using ParFlow. The model shows good performance of streamflow and water table depth when compared to global data products and observations. It is essential for water resources management and decision making in China within a consistent framework in the changing world. It also has significant implications for similar modeling in other places in the world.
Nienke Tempel, Laurène Bouaziz, Riccardo Taormina, Ellis van Noppen, Jasper Stam, Eric Sprokkereef, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 28, 4577–4597, https://doi.org/10.5194/hess-28-4577-2024, https://doi.org/10.5194/hess-28-4577-2024, 2024
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This study explores the impact of climatic variability on root zone water storage capacities and, thus, on hydrological predictions. Analysing data from 286 areas in Europe and the US, we found that, despite some variations in root zone storage capacity due to changing climatic conditions over multiple decades, these changes are generally minor and have a limited effect on water storage and river flow predictions.
Bu Li, Ting Sun, Fuqiang Tian, Mahmut Tudaji, Li Qin, and Guangheng Ni
Hydrol. Earth Syst. Sci., 28, 4521–4538, https://doi.org/10.5194/hess-28-4521-2024, https://doi.org/10.5194/hess-28-4521-2024, 2024
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This paper developed hybrid semi-distributed hydrological models by employing a process-based model as the backbone and utilizing deep learning to parameterize and replace internal modules. The main contribution is to provide a high-performance tool enriched with explicit hydrological knowledge for hydrological prediction and to improve understanding about the hydrological sensitivities to climate change in large alpine basins.
Wouter J. M. Knoben, Ashwin Raman, Gaby J. Gründemann, Mukesh Kumar, Alain Pietroniro, Chaopeng Shen, Yalan Song, Cyril Thébault, Katie van Werkhoven, Andrew W. Wood, and Martyn P. Clark
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-279, https://doi.org/10.5194/hess-2024-279, 2024
Revised manuscript accepted for HESS
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Hydrologic models are needed to provide simulations of water availability, floods and droughts. The accuracy of these simulations is often quantified with so-called performance scores. A common thought is that different models are more or less applicable to different landscapes, depending on how the model works. We show that performance scores are not helpful in distinguishing between different models, and thus cannot easily be used to select an appropriate model for a specific place.
Dan Elhanati, Nadine Goeppert, and Brian Berkowitz
Hydrol. Earth Syst. Sci., 28, 4239–4249, https://doi.org/10.5194/hess-28-4239-2024, https://doi.org/10.5194/hess-28-4239-2024, 2024
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A continuous time random walk framework was developed to allow modeling of a karst aquifer discharge response to measured rainfall. The application of the numerical model yielded robust fits between modeled and measured discharge values, especially for the distinctive long tails found during recession times. The findings shed light on the interplay of slow and fast flow in the karst system and establish the application of the model for simulating flow and transport in such systems.
Frederik Kratzert, Martin Gauch, Daniel Klotz, and Grey Nearing
Hydrol. Earth Syst. Sci., 28, 4187–4201, https://doi.org/10.5194/hess-28-4187-2024, https://doi.org/10.5194/hess-28-4187-2024, 2024
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Recently, a special type of neural-network architecture became increasingly popular in hydrology literature. However, in most applications, this model was applied as a one-to-one replacement for hydrology models without adapting or rethinking the experimental setup. In this opinion paper, we show how this is almost always a bad decision and how using these kinds of models requires the use of large-sample hydrology data sets.
Franziska Clerc-Schwarzenbach, Giovanni Selleri, Mattia Neri, Elena Toth, Ilja van Meerveld, and Jan Seibert
Hydrol. Earth Syst. Sci., 28, 4219–4237, https://doi.org/10.5194/hess-28-4219-2024, https://doi.org/10.5194/hess-28-4219-2024, 2024
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We show that the differences between the forcing data included in three CAMELS datasets (US, BR, GB) and the forcing data included for the same catchments in the Caravan dataset affect model calibration considerably. The model performance dropped when the data from the Caravan dataset were used instead of the original data. Most of the model performance drop could be attributed to the differences in precipitation data. However, differences were largest for the potential evapotranspiration data.
Ying Zhao, Mehdi Rahmati, Harry Vereecken, and Dani Or
Hydrol. Earth Syst. Sci., 28, 4059–4063, https://doi.org/10.5194/hess-28-4059-2024, https://doi.org/10.5194/hess-28-4059-2024, 2024
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Gao et al. (2023) question the importance of soil in hydrology, sparking debate. We acknowledge some valid points but critique their broad, unsubstantiated views on soil's role. Our response highlights three key areas: (1) the false divide between ecosystem-centric and soil-centric approaches, (2) the vital yet varied impact of soil properties, and (3) the call for a scale-aware framework. We aim to unify these perspectives, enhancing hydrology's comprehensive understanding.
Siyuan Wang, Markus Hrachowitz, and Gerrit Schoups
Hydrol. Earth Syst. Sci., 28, 4011–4033, https://doi.org/10.5194/hess-28-4011-2024, https://doi.org/10.5194/hess-28-4011-2024, 2024
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Root zone storage capacity (Sumax) changes significantly over multiple decades, reflecting vegetation adaptation to climatic variability. However, this temporal evolution of Sumax cannot explain long-term fluctuations in the partitioning of water fluxes as expressed by deviations ΔIE from the parametric Budyko curve over time with different climatic conditions, and it does not have any significant effects on shorter-term hydrological response characteristics of the upper Neckar catchment.
Fabián Lema, Pablo A. Mendoza, Nicolás A. Vásquez, Naoki Mizukami, Mauricio Zambrano-Bigiarini, and Ximena Vargas
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-221, https://doi.org/10.5194/hess-2024-221, 2024
Revised manuscript accepted for HESS
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Hydrological droughts affect ecosystems and socioeconomic activities worldwide. Despite they are commonly described with the Standardized Streamflow Index (SSI), there is limited understanding of what it truly reflects in terms of water cycle processes. Here, we used state-of-the-art hydrological models in Andean basins to examine drivers of SSI fluctuations. The results highlight the importance of careful selection of indices and time scales for accurate drought characterization and monitoring.
Zehua Chang, Hongkai Gao, Leilei Yong, Kang Wang, Rensheng Chen, Chuntan Han, Otgonbayar Demberel, Batsuren Dorjsuren, Shugui Hou, and Zheng Duan
Hydrol. Earth Syst. Sci., 28, 3897–3917, https://doi.org/10.5194/hess-28-3897-2024, https://doi.org/10.5194/hess-28-3897-2024, 2024
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An integrated cryospheric–hydrologic model, FLEX-Cryo, was developed that considers glaciers, snow cover, and frozen soil and their dynamic impacts on hydrology. We utilized it to simulate future changes in cryosphere and hydrology in the Hulu catchment. Our projections showed the two glaciers will melt completely around 2050, snow cover will reduce, and permafrost will degrade. For hydrology, runoff will decrease after the glacier has melted, and permafrost degradation will increase baseflow.
Henry M. Zimba, Miriam Coenders-Gerrits, Kawawa E. Banda, Petra Hulsman, Nick van de Giesen, Imasiku A. Nyambe, and Hubert H. G. Savenije
Hydrol. Earth Syst. Sci., 28, 3633–3663, https://doi.org/10.5194/hess-28-3633-2024, https://doi.org/10.5194/hess-28-3633-2024, 2024
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The fall and flushing of new leaves in the miombo woodlands co-occur in the dry season before the commencement of seasonal rainfall. The miombo species are also said to have access to soil moisture in deep soils, including groundwater in the dry season. Satellite-based evaporation estimates, temporal trends, and magnitudes differ the most in the dry season, most likely due to inadequate understanding and representation of the highlighted miombo species attributes in simulations.
Jean-Luc Martel, François Brissette, Richard Arsenault, Richard Turcotte, Mariana Castañeda-Gonzalez, William Armstrong, Edouard Mailhot, Jasmine Pelletier-Dumont, Gabriel Rondeau-Genesse, and Louis-Philippe Caron
EGUsphere, https://doi.org/10.5194/egusphere-2024-2133, https://doi.org/10.5194/egusphere-2024-2133, 2024
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This study compares Long Short-Term Memory (LSTM) neural networks with traditional hydrological models to predict future streamflow under climate change. Using data from 148 catchments, it finds that LSTM models, which learn from extensive data sequences, perform differently and often better than traditional hydrolgical models. The continental LSTM model, which includes data from diverse climate zones, is particularly effective for understanding climate impacts on water resources.
Louise Akemi Kuana, Arlan Scortegagna Almeida, Emílio Graciliano Ferreira Mercuri, and Steffen Manfred Noe
Hydrol. Earth Syst. Sci., 28, 3367–3390, https://doi.org/10.5194/hess-28-3367-2024, https://doi.org/10.5194/hess-28-3367-2024, 2024
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The authors compared regionalization methods for river flow prediction in 126 catchments from the south of Brazil, a region with humid subtropical and hot temperate climate. The regionalization method based on physiographic–climatic similarity had the best performance for predicting daily and Q95 reference flow. We showed that basins without flow monitoring can have a good approximation of streamflow using machine learning and physiographic–climatic information as inputs.
Huy Dang and Yadu Pokhrel
Hydrol. Earth Syst. Sci., 28, 3347–3365, https://doi.org/10.5194/hess-28-3347-2024, https://doi.org/10.5194/hess-28-3347-2024, 2024
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By examining basin-wide simulations of a river regime over 83 years with and without dams, we present evidence that climate variation was a key driver of hydrologic variabilities in the Mekong River basin (MRB) over the long term; however, dams have largely altered the seasonality of the Mekong’s flow regime and annual flooding patterns in major downstream areas in recent years. These findings could help us rethink the planning of future dams and water resource management in the MRB.
Yongshin Lee, Francesca Pianosi, Andres Peñuela, and Miguel Angel Rico-Ramirez
Hydrol. Earth Syst. Sci., 28, 3261–3279, https://doi.org/10.5194/hess-28-3261-2024, https://doi.org/10.5194/hess-28-3261-2024, 2024
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Following recent advancements in weather prediction technology, we explored how seasonal weather forecasts (1 or more months ahead) could benefit practical water management in South Korea. Our findings highlight that using seasonal weather forecasts for predicting flow patterns 1 to 3 months ahead is effective, especially during dry years. This suggest that seasonal weather forecasts can be helpful in improving the management of water resources.
Mariam Khanam, Giulia Sofia, and Emmanouil N. Anagnostou
Hydrol. Earth Syst. Sci., 28, 3161–3190, https://doi.org/10.5194/hess-28-3161-2024, https://doi.org/10.5194/hess-28-3161-2024, 2024
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Flooding worsens due to climate change, with river dynamics being a key in local flood control. Predicting post-storm geomorphic changes is challenging. Using self-organizing maps and machine learning, this study forecasts post-storm alterations in stage–discharge relationships across 3101 US stream gages. The provided framework can aid in updating hazard assessments by identifying rivers prone to change, integrating channel adjustments into flood hazard assessment.
Yalan Song, Wouter J. M. Knoben, Martyn P. Clark, Dapeng Feng, Kathryn Lawson, Kamlesh Sawadekar, and Chaopeng Shen
Hydrol. Earth Syst. Sci., 28, 3051–3077, https://doi.org/10.5194/hess-28-3051-2024, https://doi.org/10.5194/hess-28-3051-2024, 2024
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Differentiable models (DMs) integrate neural networks and physical equations for accuracy, interpretability, and knowledge discovery. We developed an adjoint-based DM for ordinary differential equations (ODEs) for hydrological modeling, reducing distorted fluxes and physical parameters from errors in models that use explicit and operation-splitting schemes. With a better numerical scheme and improved structure, the adjoint-based DM matches or surpasses long short-term memory (LSTM) performance.
Mahmut Tudaji, Yi Nan, and Fuqiang Tian
EGUsphere, https://doi.org/10.5194/egusphere-2024-1438, https://doi.org/10.5194/egusphere-2024-1438, 2024
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Common intuition holds that higher input data resolution leads to better results. To assess the benefits of high-resolution data, we conducted simulation experiments using data with various temporal resolutions across multiple catchments, and found that higher resolution data does not always improve model performance, challenging the necessity of pursuing such data. In catchments with small areas or significant flow variability, high-resolution data is more valuable.
Florian Willkofer, Raul R. Wood, and Ralf Ludwig
Hydrol. Earth Syst. Sci., 28, 2969–2989, https://doi.org/10.5194/hess-28-2969-2024, https://doi.org/10.5194/hess-28-2969-2024, 2024
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Severe flood events pose a threat to riverine areas, yet robust estimates of the dynamics of these events in the future due to climate change are rarely available. Hence, this study uses data from a regional climate model, SMILE, to drive a high-resolution hydrological model for 98 catchments of hydrological Bavaria and exploits the large database to derive robust values for the 100-year flood events. Results indicate an increase in frequency and intensity for most catchments in the future.
Maik Renner and Corina Hauffe
Hydrol. Earth Syst. Sci., 28, 2849–2869, https://doi.org/10.5194/hess-28-2849-2024, https://doi.org/10.5194/hess-28-2849-2024, 2024
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Climate and land surface changes influence the partitioning of water balance components decisively. Their impact is quantified for 71 catchments in Saxony. Germany. Distinct signatures in the joint water and energy budgets are found: (i) past forest dieback caused a decrease in and subsequent recovery of evapotranspiration in the affected regions, and (ii) the recent shift towards higher aridity imposed a large decline in runoff that has not been seen in the observation records before.
Zhen Cui, Shenglian Guo, Hua Chen, Dedi Liu, Yanlai Zhou, and Chong-Yu Xu
Hydrol. Earth Syst. Sci., 28, 2809–2829, https://doi.org/10.5194/hess-28-2809-2024, https://doi.org/10.5194/hess-28-2809-2024, 2024
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Ensemble forecasting facilitates reliable flood forecasting and warning. This study couples the copula-based hydrologic uncertainty processor (CHUP) with Bayesian model averaging (BMA) and proposes the novel CHUP-BMA method of reducing inflow forecasting uncertainty of the Three Gorges Reservoir. The CHUP-BMA avoids the normal distribution assumption in the HUP-BMA and considers the constraint of initial conditions, which can improve the deterministic and probabilistic forecast performance.
Cited articles
Allen, C. D., Savage, M., Falk, D. A., Suckling, K. F., Swetnam, T. W.,
Schulke, T., Stacey, P. B., Morgan, P., Hoffman, M., and Klingel, J. T.:
Ecological restoration of Southwestern ponderosa pine ecosystems: A broad
perspective, Ecol. Appl., 12, 1418–1433, 2002.
Arizona Department of Water Resources: Arizona Water Atlas, State of
Arizona,
http://www.azwater.gov/AzDWR/StatewidePlanning/WaterAtlas/ (last access: February 2016),
2010.
Armstrong, A.: Increase in Ponderosa pine density in the Nebraska
sandhills: Impacts on grassland plant diversity and productivity,
University of Nebraska Thesis, 2012.
Baker, M. B.: Changes in streamflow in an herbicide-treated pinyon-juniper
watershed in Arizona, Water Resour. Res., 20, 1639–1642, 1984.
Baker, M. M. B.: Effects of Ponderosa Pine Treatments on Water Yield
in Arizona, Water Resour. Res., 22, 67–73, 1986.
Bárdossy, A. and Das, T.: Influence of rainfall observation network on model
calibration and application, Hydrol. Earth Syst. Sci., 12, 77–89, https://doi.org/10.5194/hess-12-77-2008, 2008.
Barnett, T. P., Adam, J. C., and Lettenmaier, D. P.: Potential impacts of a
warming climate on water availability in snow-dominated regions, Nature, 438,
303–309, 2005.
Bathurst, J. C., Ewen, J., Parkin, G., O'Connell, P. E., and Cooper, J. D.:
Validation of catchment models for predicting land-use and climate change
impacts. 3. Blind validation for internal and outlet responses, J. Hydrol.,
287, 74–94, 2004.
Benavides-Solorio, J. D. D. and MacDonald, L. H.: Measurement and prediction of
post-fire erosion at the hillslope scale, Colorado Front Range, Int. J.
Wildland Fire, 14, 457–474, 2005.
Biederman, J., Harpold, A. A., Gochis, D. J., Ewers, B., Reed, D. E., Papuga,
S., and Brooks, P. D.: Increased evaporation following widespread tree
mortality limits streamflow response, Water Resour. Res., 50, 5395–5409,
https://doi.org/10.1002/2013WR014994, 2014.
Biederman, J. A., Brooks, P. D., Harpold, A. A., Gutmann, E., Gochis, D. J.,
Reed, D. E., and Pendall, E.: Multi-scale Observations of Snow
Accumulation and Peak Snowpack Following Widespread,
Insect-induced Lodgepole Pine Mortality, Ecohydrology, 5, 2012.
Borga, M., Esposti, D., and Norbiato, D.: Influence of errors in radar rainfall
estimates on hydrological modeling prediction uncertainty, Water Resour. Res.,
42, W08409, https://doi.org/10.1029/2005WR004559, 2006.
Bosch, J. M. and Hewlett, J. D.: A Review of catchment experiments to
determine the effect of vegetation changes on water yield and
evapo-transpiration, J. Hydrol., 55, 3–23, 1982.
Bowling, L. C. and Lettenmaier, D. P.: The effects of forest roads and harvest
on catchment hydrology in a mountainous maritime environment, Land Use and
Watersheds: Human Influence on Hydrology and Geomorphology in
Urban and Forest Areas, 145–164, American Geophysical Union, 2001.
Brantley, S. T. and Young, D. R.: Leaf-area index and light attenuation in
rapidly expanding shrub thickets, Ecology, 88, 524–530, 2007.
Brown, A. E., Zhang, L., McMahon, T. A., Western, A. W., and Vertessy, R. A.: A
review of paired catchment studies for determining changes in water yield
resulting from alterations in vegetation, J. Hydrol., 310, 28–61, 2005.
Brown, E., Baker, M. B., Rogers, J. J., Clary, P., Kovner, J. L., Larson,
F. R., Avery, C., and Campbell, R. E.: Opportunities for increasing water
yields and other multiple use values ponderosa pine forest lands, Res. Pap.
RM-129, 36 pp., USDA For. Serv., Rocky For. And Range Mt. Exp. Stat., Fort
Collins, CO, 1974.
Cabral, M. C., Garrote, L., Bras, R. L., and Entekhaby, D.: A kinematic model
of infiltration and runoff generation in layered and sloped soils, Adv. Water
Resour., 15, 311–324, 1992.
Carlyle-Moses, D. E. and Price, A. G.: Modeling canopy interception loss from a
Madrean pine-oak stand, Northeastern Mexico, Hydrol. Process.,
2571–2580, 2007.
Carpenter, T. M. and Georgakakos, K.: Impacts of parametric and radar rainfall
uncertainty on the ensemble streamflow simulations of a distributed
hydrologic model, J. Hydrol., 298, 202–221, 2004.
Chambers, C. and Germaine, S.: Vertebrates, Ecological Restoration of
Southwestern Ponderosa Pine Forests, 268–285, Island Press,
Washington, DC, 2003.
Cline, N. L., Roundy, B. A., Pierson, F. B., Kormos, P., and Williams, C. J.:
Hydrologic Response to Mechanical Shredding in a Juniper Woodland,
Rangeland Ecol. Manag., 63, 467–477, 2010.
Cline, R. G., Haupt, H. F., and Campbell, G. S.: Potential water yield
response following clearcut harvesting on north and south slopes in northern
Idaho. Res. Pap. INT-RP-191. Ogden, UT, US Department of Agriculture, Forest
Service, Intermountain Forest and Range Experiment Station, 16 pp., 1977.
Collier, C.: Flash flood forecasting: What are the limits of predictability?,
Q. J. Roy. Meteor. Soc., 133, 3–23, 2007.
Cuo, L., Giambelluca, T. W., Ziegler, A. D., and Nullet, M. A.: Use of the
distributed hydrology soil vegetation model to study road effects on
hydrological processes in Pang Khum Experimental Watershed, northern
Thailand, Forest Ecol. Manag., 224, 81–94, 2006.
Dale, V. H., Joyce, L. A., McNulty, S., Neilson, R. P., Ayres, M. P.,
Flannigan, M. D., Hanson, P. J., Irland, L. C., Lugo, A. E., Peterson, C. J.,
Simberloff, D., Swanson, F. J., Stocks, B. J., and Wotton, B. M.: Climate
change and forest disturbances, Bioscience, 51, 723–734, 2001.
DeBano, L. F.: The role of fire and soil heating on water repellency in
wildland environments: a review, J. Hydrol., 231, 195–206, 2000.
dePury, D. and Farquhar, G.: Simple scaling of photosynthesis from leaves to
canopies without the errors of big-leaf models, Plant, Cell, and Environ.,
20, 537–557, 1997.
Dominguez, F., Cañon, J., and Valdes, J.: IPCC-AR4 climate simulations for
the Southwestern US: the importance of future ENSO projections,
Clim. Change, 99, 499–514, 2010.
Duan, Q. Y., Gupta, K. V., and Sorooshian, S.: Shuffled complex evolution
approach for effective and efficient global minimization, J. Optimiz. Theory
App., 76, 501–521, 1993.
Dung, B. X., Gomi, T., Miyata, S., Sidle, R. C., Kosugi, K., and Onda, Y.:
Runoff responses to forest thinning at plot and catchment scales in a
headwater catchment draining Japanese cypress forest, J. Hydrol.,
444–445, 51–62, https://doi.org/10.1016/j.jhydrol.2012.03.040, 2012.
Dunne, T. and Black, R. D.: Partial area contributions to storm runoff in a
small New England watershed, Water Resour. Res., 6, 1296–1311, 1970.
Eisenbies, M. H., Aust, W. M., Burger, J. A., and Adams, M. B.: Forest
operations, extreme flooding events, and considerations for hydrologic
modeling in the Appalachians – A review, Forest Ecol. Manag., 242,
77–98, 2007.
Fatichi, S., Zeeman, M. J., Fuhrer, J., and Burlando, P.: Ecohydrological
effects of management on subalpine grasslands: From local to catchment
scale, Water Resour. Res., 50, 148–164, https://doi.org/10.1002/2013WR014535,
2014.
Garrote, L. and Bras, R. L.: A distributed model for real-time flood
forecasting using digital elevation models, J. Hydrol., 167, 279–306, 1995.
Gesch, D., Oimoen, N., Greenlee, S., Nelson, C., Steuck, M., and Tyler, D.: The
National Elevation Dataset, Photogramm. Eng. Rem. S., 68, 5–32, 2002.
Grace, M., Skaggs, R. W., and Cassel, D. K.: Soil physical changes associated
with forest harvesting operations on an organic soil, Soil Sci. Soc. Am. J.,
70, 503–509, 2006.
Grace III, J. M., Skaggs, R. W., Cassel, D. K., and others: Influence of
Thinning Loblolly Pine(Pinus taeda L.) on Hydraulic Properties
of an Organic Soil, T. Asae, 50, 517–522, 2007.
Gupta, H. V. and Kling, H.: On typical range, sensitivity, and normalization of
Mean Squared Error and Nash-Sutcliffe Efficiency type metrics:
Technical Note, Water Resour. Res., 47, W10601,
https://doi.org/10.1029/2011WR010962, 2011.
Gupta, H. V., Kling, H., Yilmaz, K. K., and Martinez, G.: Decomposition of the
mean squared error and NSE performance criteria: Implications for
improving hydrological modelling, J. Hydrol., 377, 80–91, 2009.
Gustafson, J. R., P. D. Brooks, N. P. Molotch, and Veatch, W.C.: Estimating
snow sublimation using natural chemical and isotopic tracers across a
gradient of solar radiation, Water Resour. Res., 46, W12511,
https://doi.org/10.1029/2009WR009060, 2010.
Hampton, H. M., Sesnie, S. E., Bailey, J. D., and Snider, G. B.: Estimating
regional wood supply based on stakeholder consensus for forest restoration in
northern Arizona, J. Forest., 109, 15–26, 2011.
Harpold, A. A., Biederman, J. A., Condon, K., Merino, M., Korgaondar, Y., Nan,
T., Sloat, L., Ross, M., and Brooks, P. D.: Changes in Snow Accumulation
and Ablation Following the Las Conchas Forest Fire, New
Mexico, USA, Ecohydrology, 440–452, 2012a.
Harpold, A. A., Brooks, P. D., Rajagopal, S., Heiduechel, I., Jardine, A., and
Stielstra, C.: Changes in snowpack accumulation and ablation in the
intermountain west, Water Resour. Res., 48, W11501, https://doi.org/10.1029/2012WR011949, 2012b.
Harr, R. D., Harper, W. C., Krygier, J. T., and Hsieh, F. S.: Changes in storm
hydrographs after road building and clear-cutting in Oregon coast range,
Water Resour. Res., 11, 436–444, 1975.
Helvey, J. D.: Effects of a north central Washington wildfire on runoff and
sediment production, Water Resour. Bull., 16, 627–634, 1980.
Helvey, J. D. and Patric, J. H.: Canopy and litter interception of rainfall by
hardwoods of eastern United States, Water Resour. Res., 1, 193–206,
1965.
Hibbert, A. R.: Water yield improvement potential by vegetation management on
western rangelands, Water Resour. Bull., 19, 375–381, 1983.
Homer, C., Huang, C., Yang, L., Wylie, B., and Coan, M.: Development of a 2001
National Land-Cover Database for the United States, Photogramm.
Eng. Rem. S., 70, 829–840, 2004.
Hornbeck, J. W. and Smith, R. B.: A water resources decision model for forest
managers, Agr. Forest Meteorol., 84, 83–88, 1997.
Hornbeck, J. W., Adams, M. B., Corbett, E. S., Verry, E. S., and Lynch, J. A.:
Long-term impacts of forest treatments on water yield - a summary for
northeastern USA, J. Hydrol., 150, 323–344, 1993.
Horton, R. E.: The role of infiltration in the hydrologic cycle,
Transactions-American Geophysical Union, 14, 446–460, 1933.
Hundecha, Y. and Bardossy, A.: Modeling of the effect of land use changes on
the runoff generation of a river basin through parameter regionalization of a
watershed model, J. Hydrol., 292, 281–295, 2004.
Hursh, C. R. and Brater, E. F.: Separating storm-hydrographs from small
drainage-areas into surface- and subsurface-flow, Trans. Am. Geophys. Un.,
22, 863–871, 1941.
Ice, G. G. and Stednick, J. D.: A century of forest and wildland watershed
lessons, Society of American Foresters, Bethesda, MD, 201–222, 2004.
Ivanov, V. Y., Vivoni, E. R., Bras, R. L., and Entekhabi, D.: Catchment
hydrologic response with a fully distributed triangulated irregular network
model, Water Resour. Res., 40, W11102, https://doi.org/10.1029/2004WR003218, 2004a.
Ivanov, V. Y., Vivoni, E. R., Bras, R. L., and Entekhabi, D.: Preserving
high-resolution surface and rainfall data in operational-scale basin
hydrology: a fully-distributed physically-based approach, J. Hydrol., 298,
80–111, 2004b.
Ivanov, V. Y., Bras, R. L., and Vivoni, E. R.: Vegetation-hydrology dynamics in
complex terrain of semiarid areas: 1. A mechanistic approach to modeling
dynamic feedbacks, Water Resour. Res., 44, W03429, https://doi.org/10.1029/2006WR005588, 2008.
Jones, J.: Hydrologic processes and peak discharge response to forest removal,
regrowth, and roads in 10 small experimental basins, Western Cascades,
Oregon, Water Resour. Res., 36, 2621–2642, 2000.
Jones, J. A. and Grant, G. E.: Peak flow responses to clear-cutting and roads
in small and large basins, western Cascades, Oregon, Water Resour. Res.,
32, 959–974, 1996.
Jones, J. A. and Post, D. A.: Seasonal and successional streamflow response to
forest cutting and regrowth in the northwest and eastern United States,
Water Resour. Res., 40, W05203, https://doi.org/10.1029/2003WR002952, 2004.
Lear, D. H. V. and Danielovich, S. J.: Soil movement after broadcast burning in
the southern Appalachians, South J. Appl. For., 12, 49–53, 1988.
Legesse, D., Vallet-Coulomb, C., and Gasse, F.: Hydrological response of a
catchment to climate and land use changes in Tropical Africa: case study
South Central Ethiopia, J. Hydrol., 275, 67–85, 2003.
Leighton-Boyce, G., Doerr, S. H., Shakesby, R. A., and Walsh, R. P. D.:
Quantifying the impact of soil water repellency on overland flow generation
and erosion: a new approach using rainfall simulation and wetting agent on in
situ soil, Hydrol. Process., 21, 2337–2345, 2007.
Li, K., Coe, M., Ramankutty, N., and Jong, R. D.: Modeling the hydrological
impact of land-use change in West Africa, J. Hydrol., 337, 258–268,
2007.
Lin, Y.-P., Hong, N.-M., Wu, P.-J., and Lin, C.-J.: Modeling and assessing
land-use and hydrological processes to future land-use and climate change
scenarios in watershed land-use planning, Environ. Geol., 53, 623–634, 2007.
Link, T. and Marks, D.: Distributed simulation of snowcover mass- and
energy-balance in the boreal forest, Hydrol. Process., 13, 2439–2452,
1999.
Liston, G. E. and Elder, K.: A distributed snow-evolution modeling system
(SnowModel), J. Hydrometeorol., 7, 1259–1276, 2006.
Lundquist, J. D., Dickerson-Lange, S. E., Lutz, J. A., and Cristea, N. C.:
Lower forest density enhances snow retention in regions with warmer winters:
A global framework developed from plot-scale observations and modeling:
Forests and Snow Retention, Water Resour. Res., 49, 6356–6370,
2013.
MacDonald, L. H.: Evaluating and managing cumulative effects: process and
constraints, Environ. Manage., 26, 299–315, 2000.
Mahmood, T. H. and Vivoni, E. R.: Forest ecohydrological response to bimodal
precipitation during contrasting winter to summer transitions, Ecohydrology,
2013.
Marche, J. L. and Lettenmaier, D. P.: Effects of forest roads on flood flows in
the Deschutes River, Washington, Earth Surf. Proc. Land., 26, 115–134,
2001.
Marshall, J. D. and Waring, R. H.: Comparison of methods of estimating
leaf-area index in old-growth Douglas-Fir, Ecology, 67, 975–979, 1986.
Megahan, W. F.: Hydrologic effects of clearcutting and wildfire on steep
granitic slopes in Idaho, Water Resour. Res., 19, 811–819, 1983.
Mendez-Barroso, L. A., Vivoni, E. R., Robles-Morua, A., Mascaro, G., Yepez,
E. A., Rodriguez, J. C., Watts, C., Garatuza-Payan, J., and Saiz-Hernandez,
J. A.: A modeling approach reveals differences in evapotranspiration and its
partitioning in two semiarid ecosystems in northwest Mexico, Water Resour.
Res., 50, 3229–3252, 2013.
Michaud, J. and Sorooshian, S.: Comparison of simple versus complex distributed
runoff models on a midsize semiarid watershed, Water Resour. Res., 30,
593–605, 1994.
Mitchell, K. E., Lohmann, D., Houser, P. R., Wood, E. F., Schaake, J. C.,
Robock, A., Cosgrove, B. A., Shefield, J., Duan, Q., Luo, L., Higgins, R. W.,
Pinker, R. T., Tarpley, J. D., Lettenmaier, D. P., Marshall, C. H., Entin,
J. K., Pan, M., Shi, W., Koren, V., Meng, J., Ramsay, B. H., and Bailey,
A. A.: The multi-institution North American Land Data Assimilation
System (NLDAS): Utilizing multiple GCIP products and partners in a
continental distributed hydrological modeling system, J. Geophys. Res.-Earth
Surf., 109, D07S90, https://doi.org/10.1029/2003JD003823, 2004.
Moody, J. A., Smith, J. D., and Ragan, B. W.: Critical shear stress for erosion
of cohesive soils subjected to temperatures typical of wildfires, J. Geophys.
Res.-Earth Surf., 110, F01004, https://doi.org/10.1029/2004JF000141, 2005.
Moore, R. D. and Wondzell, S. M.: Physical hydrology and the effects of forest
harvesting in the Pacific Northwest: A review, J. Am. Water Resour.
As., 41, 763–784, 2005.
Moreno, H. A., Vivoni, E. R., and Gochis, D. J.: Utility of quantitative
precipitation estimates for high resolution hydrologic forecasts in mountain
watersheds of the Colorado Front Range, J. Hydrol., 438–439, 66–83,
2012.
Moreno, H. A., Vivoni, E. R., and Gochis, D. J.: Limits to flood forecasting in
the Colorado Front Range for two summer convection periods using radar
nowcasting and a distributed hydrologic model, J. Hydrometeorol., 14,
1075–1097, 2013.
Moreno, H. A., Vivoni, E. R., and Gochis, D. J.: Addressing uncertainty in
reflectivity-rainfall relations in mountain watersheds during summer
convection, Hydrol. Process., 28, 688–704, 2014.
Musselman, K., Molotch, N. P., and Brooks, P. D.: Quantifying the effects of
forest vegetation on snow accumulation, ablation and potential meltwater
inputs, Valles Caldera National Preserve, NM, USA, Hydrol.
Process., 22, 2767–2776, 2008.
National Research Council: Hydrologic Effects of a Changing Forest
Landscape, The National Academies Press, Washington, DC, 108 pp., 2008.
Neary, D. G., Klopatek, C. C., DeBano, L. F., and Ffolliott, P. F.: Fire
effects on belowground sustainability: a review and synthesis, Forest Ecol.
Manag., 122, 51–71, 1999.
Pitman, J. I.: Rainfall interception by bracken in open habitats relations
between leaf area, canopy storage and drainage rate, J. Hydrol., 105,
317–334, 1989.
Pomeroy, J. W., Parviainen, J., Hedstrom, N., and Gray, D. M.: Coupled
modelling of forest snow interception and sublimation, Hydrol. Process., 12,
2317–2337, 1998.
Pool, D. R., Blasch, K. W., Callegary, J. B., Leake, S. A., and Graser, L. F.:
Regional groundwater-flow model of the Redwall-Muav, Coconino, and
alluvial basin aquifer systems of northern and central Arizona, U.S.
Geological Survey Scientific Investigations Report 2010-5180, v.
1.1, Reston, VA, Tech. Rep. 2010-5180, U.S. Geological Survey, 2011.
Razavi, S., Tolson, B. A., Matott, L. S., Thomson, N. R., MacLean, A., and
Seglenieks, F. R.: Reducing the computational cost of automatic calibration
through model preemption: Model Preemption Approach in Automatic
Calibration, Water Resour. Res., 46, W11523, https://doi.org/10.1029/2009WR008957, 2010.
Reid, L. M.: Research and cumulative watershed effects, US Department of
Agriculture, Forest Service, Pacific Southwest Research Station, vol. Gen.
Tech. Rep. PSW- GTR-141, 00158, 1993.
Rinehart, A. J., Vivoni, E. R., and Brooks, P. D.: Effects of vegetation,
albedo, and solar radiation sheltering on the distribution of snow in the
Valles Caldera, New Mexico, Ecohydrology, 1, 253–270, 2008.
Robichaud, P. R.: Fire effects on infiltration rates after prescribed fire in
Northern Rocky Mountain forests, USA, J. Hydrol., 231, 220–229,
2000.
Rutter, A. J., Kershaw, K. A., Robins, P. C., and Morton, A. J.: A predictive
model of rainfall interception in forests: 1. Derivation of the model from
observation in a plantation of Corsican pine, Agr. Forest Meteorol., 9,
367–394, 1971.
Rutter, A. J., Morton, A. J., and Robins, P. C.: A predictive model of
interception in forests. 2 Generalization of the model and comparison with
observations in some coniferous and hardwood stands, J. Appl. Ecol., 12,
367–380, 1975.
Sahin, V. and Hall, M. J.: The effects of afforestation and deforestation on
water yields, J. Hydrol., 178, 293–309, 1996.
Sampson, D. A., Janssens, I., and Ceulemans, R.: Under-story contributions to
stand level GPP using the process model SECRETS, Agric. For. Meteorol.,
139, 94–104, 2006.
Schelker, J., Kuglerova, L., Eklof, K., Bishop, K., and Laudon, H.:
Hydrological effects of clear-cutting in a boreal forest – Snowpack
dynamics, snowmelt and streamflow responses, J. Hydrol., 105–114, 2013.
Schnorbus, M. and Alila, Y.: Forest harvesting impacts on the peak flow regime
in the Columbia Mountains of southeastern British Columbia: An
investigation using long-term numerical modeling, Water Resour. Res., 40,
W05205, https://doi.org/10.1029/2003WR002918, 2004.
Schnorbus, M. and Alila, Y.: Peak flow regime changes following forest
harvesting in a snow-dominated basin: Effects of harvest area, elevation,
and channel connectivity, Water Resour. Res., 49, 517–535, 2013.
Schoennagel, T., Waller, D. M., Turner, M. G., and Romme, W. H.: The effect of
fire interval on post-fire understorey communities in Yellowstone
National Park, J. Veg. Sci., 15, 797–806, 2004.
Seo, D. and Breidenbach, J. P.: Real-time correction of spatially nonuniform
bias in radar rainfall data using rain gauge measurements, J. Hydrometeorol.,
3, 93–111, 2002.
Serengil, Y., Gokbulak, F., Ozhan, S., Hizal, A., Sengonul, K., Balci, A. N.,
and Ozyuvaci, N.: Hydrological impacts of a slight thinning treatment in a
deciduous forest ecosystem in Turkey, J. Hydrol., 333, 569–577, 2007.
Shakesby, R. and Doerr, S.: Wildfire as a hydrological and geomorphological
agent, Earth Sci., 74, 269–307, 2006.
Sisk, T. D., Prather, J. W., Hampton, H. M., Aumack, E. N., Xu, Y., and
Dickson, B. G.: Participatory landscape analysis to guide restoration of
ponderosa pine ecosystems in the American Southwest, Landscape Urban
Plan., 78, 300–310, 2006.
Steiner, M., Smith, J. A., Burges, S. J., Alonso, C. V., and Darden, R. W.:
Effects of bias adjustment and rain gauge data quality control on radar
rainfall, Water Resour. Res., 35, 2487–2503, 1999.
Stephens, S. S. L., Agee, J. K., Fulé, P. Z., North, M. P., Romme, W. H.,
Swetnam, T. W., and Turner, M. G.: Managing forests and fire in changing
climates, Science, 342, 41–42, 2013.
Stottlemyer, R. and Troendle, C. A.: Effect of canopy removal on snowpack
quantity and quality, Fraser experimental forest, Colorado, J. Hydrol.,
245, 165–176, 2001.
Sypka, P. and Starzak, R.: Simplified, empirical model of wind speed profile
under canopy of Istebna spruce stand in mountain valley, Agr. Forest
Meteorol., 171–172, 220–233, 2013.
Troendle, C. A. and Reuss, J. O.: Effect of clear cutting on snow accumulation
and water outflow at Fraser, Colorado, Hydrol. Earth Syst. Sci., 1, 325–332,
https://doi.org/10.5194/hess-1-325-1997, 1997.
Varhola, A., Coops, N. C., Weiler, M., and Moore, R. D.: Forest canopy effects
on snow accumulation and ablation: An integrative review of empirical
results, J. Hydrol., 392, 219–233, 2010.
Veatch, W., Brooks, P. D., Gustafson, J. R., and Molotch, N. P.: Quantifying
the effects of forest canopy cover on net snow accumulation at a continental,
mid-latitude site, Ecohydrology, 2, 129–142, 2009.
Venkatarama, L.: Remote sensing of the terrestrial water cycle, John Wiley &
Sons, 2014.
Verry, E. S., Lewis, J. R., and Brooks, K. N.: Aspen clearcutting increases
snowmelt and storm flow peaks in north central Minnesota, Water Resour.
Bull., 19, 59–67, 1983.
Vivoni, E. R., Ivanov, V. Y., Bras, R. L., and Entekhabi, D.: Generation of
triangulated irregular networks based on hydrological similarity, J. Hydrol.
Eng., 9, 288–302, 2004.
Vivoni, E. R., Entekhabi, D., Bras, R. L., and Ivanov, V. Y.: Controls on runoff
generation and scale-dependence in a distributed hydrologic model, Hydrol.
Earth Syst. Sci., 11, 1683–1701, https://doi.org/10.5194/hess-11-1683-2007, 2007a.
Vivoni, E. R., Gutierrez-Jurado, H. A., Aragon, C. A., Mendez-Barroso, L. A.,
Rinehart, A. J., Wyckoff, R. L., Rodriguez, J. C., Watts, C. J., Bolten,
J. D., Lakshmi, V., and Jackson, T. J.: Variation of hydrometeorological
conditions along a topographic transect in northwestern Mexico during the
North American monsoon, J. Climate, 20, 1792–1809, 2007b.
Vivoni, E. R., Mascaro, G., Mniszewski, S., Fasel, P., Springer, E. P., Ivanov,
V. Y., and Bras, R. L.: Real-world hydrologic assessment of a
fully-distributed hydrological model in a parallel computing environment,
J. Hydrol., 409, 483–496, 2011.
Waring, R. H. and Schlesinger, W. H.: Forest ecosystems: concepts and
management, Academic Press, Orlando, FL, 01312, 1985.
Webb, A. A. and Kathuria, A.: Response of streamflow to afforestation and
thinning at Red Hill, Murray Darling Basin, Australia, J.
Hydrol., 412-413, 133–140, 2012.
Wemple, B. C. and Jones, J. A.: Runoff production on forest roads in a steep,
mountain catchment: runoff production in forest roads, Water Resour. Res., 39, 1220, https://doi.org/10.1029/2002WR001744, 2003.
Weyman, D. R.: Throughflow on hillslopes and its relation to the stream
hydrograph, Hydrol. Sci. Bull., 15, 25–33, 1970.
Wigmosta, M. S.: A distributed hydrology-vegetation model for complex terrain,
Water Resour. Res., 30, 1665–1679, 1994.
Woods, S. W., Ahl, R., Sappington, J., and McCaughey, W.: Snow accumulation in
thinned lodgepole pine stands, Montana, USA, Forest Ecol. Manag., 235,
202–211, 2006.
Woods, S. W., Birkas, A., and Ahl, R.: Spatial variability of soil
hydrophobicity after wildfires in Montana and Colorado, Geomorphology,
86, 465–479, 2007.
Worley, D.: The Beaver Creek pilot watershed for evaluating multiple-use
effects of watershed treatments. Rocky Mountain FOrest and Range
Experiment Station. Forest Service, US Department of
Agriculture., Tech. rep., 1965.
Yi, C.: Momentum transfer within canopies, J. Appl. Meteorol. Clim., 47,
262–275, 2008.
Short summary
We use a distributed hydrologic model to document the potential impacts of a forest restoration project on the mean and extreme hydrologic conditions on a water-supply, semi-arid basin. Results show shifts in spatio-temporal patterns of interception, soil moisture, evapotranspiration, snow persistence and runoff production differently in contrasting aspect slopes. Forest thinning leads to net loss of surface water storage and to a less regulated runoff response during hydrologic extremes.
We use a distributed hydrologic model to document the potential impacts of a forest restoration...
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