04 Jan 2022
How well are we able to close the water budget at the global scale?
Fanny Lehmann, Bramha Dutt Vishwakarma, and Jonathan Bamber
Hydrol. Earth Syst. Sci., 26, 35–54, https://doi.org/10.5194/hess-26-35-2022,https://doi.org/10.5194/hess-26-35-2022, 2022 | 134,780 views
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31 Mar 2022
| Highlight paper
Uncertainty estimation with deep learning for rainfall–runoff modeling
Daniel Klotz, Frederik Kratzert, Martin Gauch, Alden Keefe Sampson, Johannes Brandstetter, Günter Klambauer, Sepp Hochreiter, and Grey Nearing
Hydrol. Earth Syst. Sci., 26, 1673–1693, https://doi.org/10.5194/hess-26-1673-2022,https://doi.org/10.5194/hess-26-1673-2022, 2022 | 29,500 views
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23 Mar 2022
| Highlight paper
Towards hybrid modeling of the global hydrological cycle
Basil Kraft, Martin Jung, Marco Körner, Sujan Koirala, and Markus Reichstein
Hydrol. Earth Syst. Sci., 26, 1579–1614, https://doi.org/10.5194/hess-26-1579-2022,https://doi.org/10.5194/hess-26-1579-2022, 2022 | 5,118 views
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09 Feb 2022
A hydrologist's guide to open science
Caitlyn A. Hall, Sheila M. Saia, Andrea L. Popp, Nilay Dogulu, Stanislaus J. Schymanski, Niels Drost, Tim van Emmerik, and Rolf Hut
Hydrol. Earth Syst. Sci., 26, 647–664, https://doi.org/10.5194/hess-26-647-2022,https://doi.org/10.5194/hess-26-647-2022, 2022 | 4,952 views
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05 Jul 2022
Deep learning rainfall–runoff predictions of extreme events
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 | 4,643 views
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05 Aug 2022
Flood forecasting with machine learning models in an operational framework
Sella Nevo, Efrat Morin, Adi Gerzi Rosenthal, Asher Metzger, Chen Barshai, Dana Weitzner, Dafi Voloshin, Frederik Kratzert, Gal Elidan, Gideon Dror, Gregory Begelman, Grey Nearing, Guy Shalev, Hila Noga, Ira Shavitt, Liora Yuklea, Moriah Royz, Niv Giladi, Nofar Peled Levi, Ofir Reich, Oren Gilon, Ronnie Maor, Shahar Timnat, Tal Shechter, Vladimir Anisimov, Yotam Gigi, Yuval Levin, Zach Moshe, Zvika Ben-Haim, Avinatan Hassidim, and Yossi Matias
Hydrol. Earth Syst. Sci., 26, 4013–4032, https://doi.org/10.5194/hess-26-4013-2022,https://doi.org/10.5194/hess-26-4013-2022, 2022 | 4,377 views
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13 Sep 2022
Monitoring the combined effects of drought and salinity stress on crops using remote sensing in the Netherlands
Wen Wen, Joris Timmermans, Qi Chen, and Peter M. van Bodegom
Hydrol. Earth Syst. Sci., 26, 4537–4552, https://doi.org/10.5194/hess-26-4537-2022,https://doi.org/10.5194/hess-26-4537-2022, 2022 | 4,150 views
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24 Feb 2022
| Highlight paper
Future water temperature of rivers in Switzerland under climate change investigated with physics-based models
Adrien Michel, Bettina Schaefli, Nander Wever, Harry Zekollari, Michael Lehning, and Hendrik Huwald
Hydrol. Earth Syst. Sci., 26, 1063–1087, https://doi.org/10.5194/hess-26-1063-2022,https://doi.org/10.5194/hess-26-1063-2022, 2022 | 3,648 views
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14 Mar 2022
A retrospective on hydrological catchment modelling based on half a century with the HBV model
Jan Seibert and Sten Bergström
Hydrol. Earth Syst. Sci., 26, 1371–1388, https://doi.org/10.5194/hess-26-1371-2022,https://doi.org/10.5194/hess-26-1371-2022, 2022 | 3,432 views
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29 Jul 2022
High-resolution satellite products improve hydrological modeling in northern Italy
Lorenzo Alfieri, Francesco Avanzi, Fabio Delogu, Simone Gabellani, Giulia Bruno, Lorenzo Campo, Andrea Libertino, Christian Massari, Angelica Tarpanelli, Dominik Rains, Diego G. Miralles, Raphael Quast, Mariette Vreugdenhil, Huan Wu, and Luca Brocca
Hydrol. Earth Syst. Sci., 26, 3921–3939, https://doi.org/10.5194/hess-26-3921-2022,https://doi.org/10.5194/hess-26-3921-2022, 2022 | 3,432 views
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12 Oct 2022
| Highlight paper
High-resolution drought simulations and comparison to soil moisture observations in Germany
Friedrich Boeing, Oldrich Rakovec, Rohini Kumar, Luis Samaniego, Martin Schrön, Anke Hildebrandt, Corinna Rebmann, Stephan Thober, Sebastian Müller, Steffen Zacharias, Heye Bogena, Katrin Schneider, Ralf Kiese, Sabine Attinger, and Andreas Marx
Hydrol. Earth Syst. Sci., 26, 5137–5161, https://doi.org/10.5194/hess-26-5137-2022,https://doi.org/10.5194/hess-26-5137-2022, 2022 | 3,409 views
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05 Apr 2022
Technical note: Using long short-term memory models to fill data gaps in hydrological monitoring networks
Huiying Ren, Erol Cromwell, Ben Kravitz, and Xingyuan Chen
Hydrol. Earth Syst. Sci., 26, 1727–1743, https://doi.org/10.5194/hess-26-1727-2022,https://doi.org/10.5194/hess-26-1727-2022, 2022 | 3,398 views
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06 Jan 2022
| Highlight paper
Improved representation of agricultural land use and crop management for large-scale hydrological impact simulation in Africa using SWAT+
Albert Nkwasa, Celray James Chawanda, Jonas Jägermeyr, and Ann van Griensven
Hydrol. Earth Syst. Sci., 26, 71–89, https://doi.org/10.5194/hess-26-71-2022,https://doi.org/10.5194/hess-26-71-2022, 2022 | 3,394 views
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20 Jun 2022
Hydrological concept formation inside long short-term memory (LSTM) networks
Thomas Lees, Steven Reece, Frederik Kratzert, Daniel Klotz, Martin Gauch, Jens De Bruijn, Reetik Kumar Sahu, Peter Greve, Louise Slater, and Simon J. Dadson
Hydrol. Earth Syst. Sci., 26, 3079–3101, https://doi.org/10.5194/hess-26-3079-2022,https://doi.org/10.5194/hess-26-3079-2022, 2022 | 3,298 views
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08 Jul 2022
| Highlight paper
The Great Lakes Runoff Intercomparison Project Phase 4: the Great Lakes (GRIP-GL)
Juliane Mai, Hongren Shen, Bryan A. Tolson, Étienne Gaborit, Richard Arsenault, James R. Craig, Vincent Fortin, Lauren M. Fry, Martin Gauch, Daniel Klotz, Frederik Kratzert, Nicole O'Brien, Daniel G. Princz, Sinan Rasiya Koya, Tirthankar Roy, Frank Seglenieks, Narayan K. Shrestha, André G. T. Temgoua, Vincent Vionnet, and Jonathan W. Waddell
Hydrol. Earth Syst. Sci., 26, 3537–3572, https://doi.org/10.5194/hess-26-3537-2022,https://doi.org/10.5194/hess-26-3537-2022, 2022 | 3,175 views
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22 Mar 2022
| Highlight paper
Evaporation enhancement drives the European water-budget deficit during multi-year droughts
Christian Massari, Francesco Avanzi, Giulia Bruno, Simone Gabellani, Daniele Penna, and Stefania Camici
Hydrol. Earth Syst. Sci., 26, 1527–1543, https://doi.org/10.5194/hess-26-1527-2022,https://doi.org/10.5194/hess-26-1527-2022, 2022 | 3,138 views
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05 May 2022
Satellite observations reveal 13 years of reservoir filling strategies, operating rules, and hydrological alterations in the Upper Mekong River basin
Dung Trung Vu, Thanh Duc Dang, Stefano Galelli, and Faisal Hossain
Hydrol. Earth Syst. Sci., 26, 2345–2364, https://doi.org/10.5194/hess-26-2345-2022,https://doi.org/10.5194/hess-26-2345-2022, 2022 | 3,064 views
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18 Mar 2022
Theoretical and empirical evidence against the Budyko catchment trajectory conjecture
Nathan G. F. Reaver, David A. Kaplan, Harald Klammler, and James W. Jawitz
Hydrol. Earth Syst. Sci., 26, 1507–1525, https://doi.org/10.5194/hess-26-1507-2022,https://doi.org/10.5194/hess-26-1507-2022, 2022 | 2,904 views
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24 Jan 2022
| Highlight paper
Hydrology without dimensions
Amilcare Porporato
Hydrol. Earth Syst. Sci., 26, 355–374, https://doi.org/10.5194/hess-26-355-2022,https://doi.org/10.5194/hess-26-355-2022, 2022 | 2,849 views
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01 Jul 2022
Globally widespread and increasing violations of environmental flow envelopes
Vili Virkki, Elina Alanärä, Miina Porkka, Lauri Ahopelto, Tom Gleeson, Chinchu Mohan, Lan Wang-Erlandsson, Martina Flörke, Dieter Gerten, Simon N. Gosling, Naota Hanasaki, Hannes Müller Schmied, Niko Wanders, and Matti Kummu
Hydrol. Earth Syst. Sci., 26, 3315–3336, https://doi.org/10.5194/hess-26-3315-2022,https://doi.org/10.5194/hess-26-3315-2022, 2022 | 2,806 views
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29 Jun 2022
Teaching hydrological modelling: illustrating model structure uncertainty with a ready-to-use computational exercise
Wouter J. M. Knoben and Diana Spieler
Hydrol. Earth Syst. Sci., 26, 3299–3314, https://doi.org/10.5194/hess-26-3299-2022,https://doi.org/10.5194/hess-26-3299-2022, 2022 | 2,799 views
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25 Aug 2022
Deep learning methods for flood mapping: a review of existing applications and future research directions
Roberto Bentivoglio, Elvin Isufi, Sebastian Nicolaas Jonkman, and Riccardo Taormina
Hydrol. Earth Syst. Sci., 26, 4345–4378, https://doi.org/10.5194/hess-26-4345-2022,https://doi.org/10.5194/hess-26-4345-2022, 2022 | 2,794 views
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15 Nov 2022
Risks of seasonal extreme rainfall events in Bangladesh under 1.5 and 2.0 °C warmer worlds – how anthropogenic aerosols change the story
Ruksana H. Rimi, Karsten Haustein, Emily J. Barbour, Sarah N. Sparrow, Sihan Li, David C. H. Wallom, and Myles R. Allen
Hydrol. Earth Syst. Sci., 26, 5737–5756, https://doi.org/10.5194/hess-26-5737-2022,https://doi.org/10.5194/hess-26-5737-2022, 2022 | 2,783 views
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24 Jun 2022
Analysis of flash droughts in China using machine learning
Linqi Zhang, Yi Liu, Liliang Ren, Adriaan J. Teuling, Ye Zhu, Linyong Wei, Linyan Zhang, Shanhu Jiang, Xiaoli Yang, Xiuqin Fang, and Hang Yin
Hydrol. Earth Syst. Sci., 26, 3241–3261, https://doi.org/10.5194/hess-26-3241-2022,https://doi.org/10.5194/hess-26-3241-2022, 2022 | 2,674 views
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25 May 2022
A framework for irrigation performance assessment using WaPOR data: the case of a sugarcane estate in Mozambique
Abebe D. Chukalla, Marloes L. Mul, Pieter van der Zaag, Gerardo van Halsema, Evaristo Mubaya, Esperança Muchanga, Nadja den Besten, and Poolad Karimi
Hydrol. Earth Syst. Sci., 26, 2759–2778, https://doi.org/10.5194/hess-26-2759-2022,https://doi.org/10.5194/hess-26-2759-2022, 2022 | 2,664 views
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18 Jan 2022
Ensemble streamflow forecasting over a cascade reservoir catchment with integrated hydrometeorological modeling and machine learning
Junjiang Liu, Xing Yuan, Junhan Zeng, Yang Jiao, Yong Li, Lihua Zhong, and Ling Yao
Hydrol. Earth Syst. Sci., 26, 265–278, https://doi.org/10.5194/hess-26-265-2022,https://doi.org/10.5194/hess-26-265-2022, 2022 | 2,648 views
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31 Jan 2022
Extreme floods in Europe: going beyond observations using reforecast ensemble pooling
Manuela I. Brunner and Louise J. Slater
Hydrol. Earth Syst. Sci., 26, 469–482, https://doi.org/10.5194/hess-26-469-2022,https://doi.org/10.5194/hess-26-469-2022, 2022 | 2,571 views
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24 May 2022
Quantifying multi-year hydrological memory with Catchment Forgetting Curves
Alban de Lavenne, Vazken Andréassian, Louise Crochemore, Göran Lindström, and Berit Arheimer
Hydrol. Earth Syst. Sci., 26, 2715–2732, https://doi.org/10.5194/hess-26-2715-2022,https://doi.org/10.5194/hess-26-2715-2022, 2022 | 2,538 views
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06 Apr 2022
Storylines of UK drought based on the 2010–2012 event
Wilson C. H. Chan, Theodore G. Shepherd, Katie Facer-Childs, Geoff Darch, and Nigel W. Arnell
Hydrol. Earth Syst. Sci., 26, 1755–1777, https://doi.org/10.5194/hess-26-1755-2022,https://doi.org/10.5194/hess-26-1755-2022, 2022 | 2,530 views
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29 Sep 2022
HESS Opinions: Participatory Digital eARth Twin Hydrology systems (DARTHs) for everyone – a blueprint for hydrologists
Riccardo Rigon, Giuseppe Formetta, Marialaura Bancheri, Niccolò Tubini, Concetta D'Amato, Olaf David, and Christian Massari
Hydrol. Earth Syst. Sci., 26, 4773–4800, https://doi.org/10.5194/hess-26-4773-2022,https://doi.org/10.5194/hess-26-4773-2022, 2022 | 2,526 views
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21 Jun 2022
Bias adjustment and downscaling of snow cover fraction projections from regional climate models using remote sensing for the European Alps
Michael Matiu and Florian Hanzer
Hydrol. Earth Syst. Sci., 26, 3037–3054, https://doi.org/10.5194/hess-26-3037-2022,https://doi.org/10.5194/hess-26-3037-2022, 2022 | 2,511 views
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19 Jul 2022
Remotely sensed reservoir water storage dynamics (1984–2015) and the influence of climate variability and management at a global scale
Jiawei Hou, Albert I. J. M. van Dijk, Hylke E. Beck, Luigi J. Renzullo, and Yoshihide Wada
Hydrol. Earth Syst. Sci., 26, 3785–3803, https://doi.org/10.5194/hess-26-3785-2022,https://doi.org/10.5194/hess-26-3785-2022, 2022 | 2,481 views
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12 May 2022
Flood generation: process patterns from the raindrop to the ocean
Günter Blöschl
Hydrol. Earth Syst. Sci., 26, 2469–2480, https://doi.org/10.5194/hess-26-2469-2022,https://doi.org/10.5194/hess-26-2469-2022, 2022 | 2,477 views
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12 May 2022
High-resolution (1 km) satellite rainfall estimation from SM2RAIN applied to Sentinel-1: Po River basin as a case study
Paolo Filippucci, Luca Brocca, Raphael Quast, Luca Ciabatta, Carla Saltalippi, Wolfgang Wagner, and Angelica Tarpanelli
Hydrol. Earth Syst. Sci., 26, 2481–2497, https://doi.org/10.5194/hess-26-2481-2022,https://doi.org/10.5194/hess-26-2481-2022, 2022 | 2,453 views
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14 Feb 2022
Evaluation and interpretation of convolutional long short-term memory networks for regional hydrological modelling
Sam Anderson and Valentina Radić
Hydrol. Earth Syst. Sci., 26, 795–825, https://doi.org/10.5194/hess-26-795-2022,https://doi.org/10.5194/hess-26-795-2022, 2022 | 2,410 views
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12 Apr 2022
Critical transitions in the hydrological system: early-warning signals and network analysis
Xueli Yang, Zhi-Hua Wang, and Chenghao Wang
Hydrol. Earth Syst. Sci., 26, 1845–1856, https://doi.org/10.5194/hess-26-1845-2022,https://doi.org/10.5194/hess-26-1845-2022, 2022 | 2,341 views
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12 Jan 2022
A space–time Bayesian hierarchical modeling framework for projection of seasonal maximum streamflow
Álvaro Ossandón, Manuela I. Brunner, Balaji Rajagopalan, and William Kleiber
Hydrol. Earth Syst. Sci., 26, 149–166, https://doi.org/10.5194/hess-26-149-2022,https://doi.org/10.5194/hess-26-149-2022, 2022 | 2,323 views
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07 Feb 2022
Drivers of drought-induced shifts in the water balance through a Budyko approach
Tessa Maurer, Francesco Avanzi, Steven D. Glaser, and Roger C. Bales
Hydrol. Earth Syst. Sci., 26, 589–607, https://doi.org/10.5194/hess-26-589-2022,https://doi.org/10.5194/hess-26-589-2022, 2022 | 2,321 views
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27 Oct 2022
FarmCan: a physical, statistical, and machine learning model to forecast crop water deficit for farms
Sara Sadri, James S. Famiglietti, Ming Pan, Hylke E. Beck, Aaron Berg, and Eric F. Wood
Hydrol. Earth Syst. Sci., 26, 5373–5390, https://doi.org/10.5194/hess-26-5373-2022,https://doi.org/10.5194/hess-26-5373-2022, 2022 | 2,312 views
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12 Apr 2022
A combined use of in situ and satellite-derived observations to characterize surface hydrology and its variability in the Congo River basin
Benjamin Kitambo, Fabrice Papa, Adrien Paris, Raphael M. Tshimanga, Stephane Calmant, Ayan Santos Fleischmann, Frederic Frappart, Melanie Becker, Mohammad J. Tourian, Catherine Prigent, and Johary Andriambeloson
Hydrol. Earth Syst. Sci., 26, 1857–1882, https://doi.org/10.5194/hess-26-1857-2022,https://doi.org/10.5194/hess-26-1857-2022, 2022 | 2,296 views
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21 Feb 2022
Remote sensing-aided rainfall–runoff modeling in the tropics of Costa Rica
Saúl Arciniega-Esparza, Christian Birkel, Andrés Chavarría-Palma, Berit Arheimer, and José Agustín Breña-Naranjo
Hydrol. Earth Syst. Sci., 26, 975–999, https://doi.org/10.5194/hess-26-975-2022,https://doi.org/10.5194/hess-26-975-2022, 2022 | 2,288 views
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02 Feb 2022
Improved understanding of regional groundwater drought development through time series modelling: the 2018–2019 drought in the Netherlands
Esther Brakkee, Marjolein H. J. van Huijgevoort, and Ruud P. Bartholomeus
Hydrol. Earth Syst. Sci., 26, 551–569, https://doi.org/10.5194/hess-26-551-2022,https://doi.org/10.5194/hess-26-551-2022, 2022 | 2,282 views
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07 Jul 2022
A comparison of hydrological models with different level of complexity in Alpine regions in the context of climate change
Francesca Carletti, Adrien Michel, Francesca Casale, Alice Burri, Daniele Bocchiola, Mathias Bavay, and Michael Lehning
Hydrol. Earth Syst. Sci., 26, 3447–3475, https://doi.org/10.5194/hess-26-3447-2022,https://doi.org/10.5194/hess-26-3447-2022, 2022 | 2,277 views
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10 Feb 2022
A new large-scale suspended sediment model and its application over the United States
Hong-Yi Li, Zeli Tan, Hongbo Ma, Zhenduo Zhu, Guta Wakbulcho Abeshu, Senlin Zhu, Sagy Cohen, Tian Zhou, Donghui Xu, and L. Ruby Leung
Hydrol. Earth Syst. Sci., 26, 665–688, https://doi.org/10.5194/hess-26-665-2022,https://doi.org/10.5194/hess-26-665-2022, 2022 | 2,253 views
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04 Aug 2022
| Highlight paper
Bedrock depth influences spatial patterns of summer baseflow, temperature and flow disconnection for mountainous headwater streams
Martin A. Briggs, Phillip Goodling, Zachary C. Johnson, Karli M. Rogers, Nathaniel P. Hitt, Jennifer B. Fair, and Craig D. Snyder
Hydrol. Earth Syst. Sci., 26, 3989–4011, https://doi.org/10.5194/hess-26-3989-2022,https://doi.org/10.5194/hess-26-3989-2022, 2022 | 2,252 views
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01 Nov 2022
Using a long short-term memory (LSTM) neural network to boost river streamflow forecasts over the western United States
Kieran M. R. Hunt, Gwyneth R. Matthews, Florian Pappenberger, and Christel Prudhomme
Hydrol. Earth Syst. Sci., 26, 5449–5472, https://doi.org/10.5194/hess-26-5449-2022,https://doi.org/10.5194/hess-26-5449-2022, 2022 | 2,224 views
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09 Mar 2022
Ecosystem adaptation to climate change: the sensitivity of hydrological predictions to time-dynamic model parameters
Laurène J. E. Bouaziz, Emma E. Aalbers, Albrecht H. Weerts, Mark Hegnauer, Hendrik Buiteveld, Rita Lammersen, Jasper Stam, Eric Sprokkereef, Hubert H. G. Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 26, 1295–1318, https://doi.org/10.5194/hess-26-1295-2022,https://doi.org/10.5194/hess-26-1295-2022, 2022 | 2,161 views
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17 Nov 2022
How can we benefit from regime information to make more effective use of long short-term memory (LSTM) runoff models?
Reyhaneh Hashemi, Pierre Brigode, Pierre-André Garambois, and Pierre Javelle
Hydrol. Earth Syst. Sci., 26, 5793–5816, https://doi.org/10.5194/hess-26-5793-2022,https://doi.org/10.5194/hess-26-5793-2022, 2022 | 2,144 views
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02 May 2022
To which extent are socio-hydrology studies truly integrative? The case of natural hazards and disaster research
Franciele Maria Vanelli, Masato Kobiyama, and Mariana Madruga de Brito
Hydrol. Earth Syst. Sci., 26, 2301–2317, https://doi.org/10.5194/hess-26-2301-2022,https://doi.org/10.5194/hess-26-2301-2022, 2022 | 2,144 views
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11 Oct 2022
| Highlight paper
Improving hydrologic models for predictions and process understanding using neural ODEs
Marvin Höge, Andreas Scheidegger, Marco Baity-Jesi, Carlo Albert, and Fabrizio Fenicia
Hydrol. Earth Syst. Sci., 26, 5085–5102, https://doi.org/10.5194/hess-26-5085-2022,https://doi.org/10.5194/hess-26-5085-2022, 2022 | 2,143 views
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