Articles | Volume 18, issue 2
https://doi.org/10.5194/hess-18-649-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-18-649-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Review article
| 
19 Feb 2014
Review article |
| 19 Feb 2014
Advancing catchment hydrology to deal with predictions under change
Institute of Water Resources and River Basin Management, Karlsruhe Institute of Technology – KIT, Karlsruhe, Germany
H. V. Gupta
Department of Hydrology and Water Resources, The University of Arizona, Tucson, AZ, USA
M. Sivapalan
Department of Civil and Environmental Engineering, Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA
S. V. Weijs
School of Architecture Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne – EPFL Lausanne, Lausanne, Switzerland
S. J. Schymanski
ETH Zürich, Inst Terr Ecosyst, Soil & Terr Environm Phys STEP, Zurich, Switzerland
G. Blöschl
Institute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology, Vienna, Austria
A. N. Gelfan
Water Problem Institute of the Russian Academy of Sciences, Moscow, Russia
C. Harman
Department of Geography and Environmental Engineering, Johns Hopkins University, Baltimore, MD, USA
A. Kleidon
Max-Planck Institute for Biogeochemistry, Jena, Germany
T. A. Bogaard
Department of Water Management, Delft University of Technology, Delft, the Netherlands
D. Wang
Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA
T. Wagener
Department of Civil Engineering, Queen's School of Engineering, University of Bristol, Bristol, UK
U. Scherer
Institute of Water Resources and River Basin Management, Karlsruhe Institute of Technology – KIT, Karlsruhe, Germany
Institute of Water Resources and River Basin Management, Karlsruhe Institute of Technology – KIT, Karlsruhe, Germany
M. F. P. Bierkens
Department of Physical Geography, Utrecht University, Utrecht, the Netherlands
G. Di Baldassarre
Department of Hydroinformatics and Knowledge Management, UNESCO-IHE Institute for Water Education, Delft, the Netherlands
J. Parajka
Institute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology, Vienna, Austria
L. P. H. van Beek
Department of Physical Geography, Utrecht University, Utrecht, the Netherlands
A. van Griensven
Department of Water Science and Engineering, UNESCO-IHE Institute for Water Education, Delft, the Netherlands
M. C. Westhoff
Institute of Water Resources and River Basin Management, Karlsruhe Institute of Technology – KIT, Karlsruhe, Germany
H. C. Winsemius
Deltares, Utrecht, the Netherlands
Viewed
Total article views: 9,126 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Jul 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,563 | 4,096 | 467 | 9,126 | 162 | 178 |
- HTML: 4,563
- PDF: 4,096
- XML: 467
- Total: 9,126
- BibTeX: 162
- EndNote: 178
Total article views: 7,036 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Feb 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,394 | 3,232 | 410 | 7,036 | 132 | 168 |
- HTML: 3,394
- PDF: 3,232
- XML: 410
- Total: 7,036
- BibTeX: 132
- EndNote: 168
Total article views: 2,090 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Jul 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,169 | 864 | 57 | 2,090 | 30 | 10 |
- HTML: 1,169
- PDF: 864
- XML: 57
- Total: 2,090
- BibTeX: 30
- EndNote: 10
Cited
78 citations as recorded by crossref.
- Vegetation optimality explains the convergence of catchments on the Budyko curve R. Nijzink & S. Schymanski 10.5194/hess-26-6289-2022
- Using the maximum entropy production approach to integrate energy budget modelling in a hydrological model A. Maheu et al. 10.5194/hess-23-3843-2019
- Testing the robustness of the physically-based ECOMAG model with respect to changing conditions A. Gelfan et al. 10.1080/02626667.2014.935780
- Water security in an Andean basin: an integrated socio-hydrological, multi-scenario and allocation assessment E. Cepeda Arias et al. 10.1080/02626667.2024.2325653
- Sensitivity of Estuaries to Compound Flooding L. Harrison et al. 10.1007/s12237-021-00996-1
- Hydrological Basis of Different Budyko Equations: The Spatial Variability of Available Water for Evaporation L. Yao & D. Wang 10.1029/2021WR030921
- Reducing structural uncertainty in conceptual hydrological modelling in the semi-arid Andes P. Hublart et al. 10.5194/hess-19-2295-2015
- Is There a Baseflow Budyko Curve? S. Gnann et al. 10.1029/2018WR024464
- Where should hydrology go? An early-career perspective on the next IAHS Scientific Decade: 2023–2032 T. van Hateren et al. 10.1080/02626667.2023.2170754
- Multi-Model Approach to Quantify Future Sediment and Pollutant Loads and Ecosystem Change in Selenga River System S. Chalov et al. 10.1134/S0097807818060210
- Virtual field trips in hydrological field laboratories: The potential of virtual reality for conveying hydrological engineering content P. Grosser et al. 10.1007/s10639-022-11434-5
- Does the Budyko curve reflect a maximum-power state of hydrological systems? A backward analysis M. Westhoff et al. 10.5194/hess-20-479-2016
- On the dynamic nature of hydrological similarity R. Loritz et al. 10.5194/hess-22-3663-2018
- The Evolution of Hillslope Hydrology: Links Between Form, Function and the Underlying Control of Geology A. Hartmann & T. Blume 10.1029/2023WR035937
- Invited perspectives: Integrating hydrologic information into the next generation of landslide early warning systems B. Mirus et al. 10.5194/nhess-25-169-2025
- Comparing spatial and temporal transferability of hydrological model parameters S. Patil & M. Stieglitz 10.1016/j.jhydrol.2015.04.003
- Improving the theoretical underpinnings of process‐based hydrologic models M. Clark et al. 10.1002/2015WR017910
- Dynamic earth system and ecological controls of rainfall-initiated landslides R. Sidle & T. Bogaard 10.1016/j.earscirev.2016.05.013
- Tracing Temporal Changes of Model Parameters in Rainfall-Runoff Modeling via a Real-Time Data Assimilation S. Meng et al. 10.3390/w8010019
- Climatic and anthropogenic drivers of a drying Himalayan river G. Penny et al. 10.5194/hess-26-375-2022
- A process‐based approach to attribution of historical streamflow decline in a data‐scarce and human‐dominated watershed G. Penny et al. 10.1002/hyp.13707
- Technical note: Complexity–uncertainty curve (c-u-curve) – a method to analyse, classify and compare dynamical systems U. Ehret & P. Dey 10.5194/hess-27-2591-2023
- Is Compositional Data Analysis (CoDA) a theory able to discover complex dynamics in aqueous geochemical systems? R. Sauro Graziano et al. 10.1016/j.gexplo.2020.106465
- Watershed Hydrology: Scientific Advances and Environmental Assessments X. Yu & C. Duffy 10.3390/w10030288
- Assessment of the flood hazard arising from land use change in a forested catchment in northern Iran F. Hajian et al. 10.1111/jfr3.12481
- Sensitivity of potential evaporation estimates to 100 years of climate variability R. Bartholomeus et al. 10.5194/hess-19-997-2015
- Using Natural Experiments and Counterfactuals for Causal Assessment: River Salinity and the Ganges Water Agreement G. Penny et al. 10.1029/2019WR026166
- Parsimonious nonstationary flood frequency analysis J. Serago & R. Vogel 10.1016/j.advwatres.2017.11.026
- JAMES BUTTLE REVIEW: A resilience framework for physical hydrology B. Newton & C. Spence 10.1002/hyp.14926
- The streamwater microbiome encodes hydrologic data across scales D. URycki et al. 10.1016/j.scitotenv.2022.157911
- Socio-hydrological modelling: a review asking "why, what and how?" P. Blair & W. Buytaert 10.5194/hess-20-443-2016
- Identification of Dominant Hydrological Mechanisms Using Bayesian Inference, Multiple Statistical Hypothesis Testing, and Flexible Models C. Prieto et al. 10.1029/2020WR028338
- Impact of rapid anthropogenic environmental change on water security in a tropical Andean basin E. Cepeda Arias et al. 10.1016/j.wasec.2024.100175
- An ET-Based Two-Phase Method for the Calibration and Application of Distributed Hydrological Models Z. Sun et al. 10.1007/s11269-021-02774-x
- Use of streamflow indices to identify the catchment drivers of hydrographs J. Mathai & P. Mujumdar 10.5194/hess-26-2019-2022
- Pattern-based assessment of the influence of catchment characteristics on urban stormwater quality A. Chowdhury et al. 10.2166/wst.2024.355
- Assessing Catchment Resilience Using Entropy Associated with Mean Annual Runoff for the Upper Vaal Catchment in South Africa M. Ilunga 10.3390/e19050147
- Ecosystem service valuation method through grey water footprint in partially-monitored subtropical watersheds D. Taffarello et al. 10.1016/j.scitotenv.2020.139408
- Hydrological services in the Atlantic Forest, Brazil: An ecosystem-based adaptation using ecohydrological monitoring D. Taffarello et al. 10.1016/j.cliser.2017.10.005
- Assessing the operation rules of a reservoir system based on a detailed modelling chain M. Bruwier et al. 10.5194/nhess-15-365-2015
- Projecting hydropower production under future climates: a guide for decision‐makers and modelers to interpret and design climate change impact assessments B. Schaefli 10.1002/wat2.1083
- Self organizing hydrological processes in a runoff source area N. Brindt et al. 10.1016/j.catena.2021.105955
- The evolution of root-zone moisture capacities after deforestation: a step towards hydrological predictions under change? R. Nijzink et al. 10.5194/hess-20-4775-2016
- Using multi-tracer inference to move beyond single-catchment ecohydrology B. Abbott et al. 10.1016/j.earscirev.2016.06.014
- The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies – Chile dataset C. Alvarez-Garreton et al. 10.5194/hess-22-5817-2018
- Impacts of agriculture and snow dynamics on catchment water balance in the U.S. and Great Britain M. Zaerpour et al. 10.1038/s43247-024-01891-w
- Impact of precipitation and evaporation change on flood runoff over Lake Baikal catchment V. Grigorev et al. 10.1007/s12665-022-10679-0
- A thermodynamic interpretation of Budyko and L'vovich formulations of annual water balance: Proportionality Hypothesis and maximum entropy production D. Wang et al. 10.1002/2014WR016857
- Improved Rainfall‐Runoff Calibration for Drying Climate: Choice of Objective Function K. Fowler et al. 10.1029/2017WR022466
- Processes and Modeling of Initial Soil and Landscape Development: A Review T. Maurer & H. Gerke 10.2136/vzj2016.05.0048
- Machine learning assisted hybrid models can improve streamflow simulation in diverse catchments across the conterminous US G. Konapala et al. 10.1088/1748-9326/aba927
- Evaluation of the Climate Forecast System Reanalysis data for hydrological model in the Arctic watershed Målselv M. Bui et al. 10.2166/wcc.2021.346
- Outward Appearance or Inward Significance? On Experts' Perspectives When Studying and Solving Water Scarcity K. Pramana & M. Ertsen 10.3389/frwa.2022.811862
- Climate change impact on the water regime of two great Arctic rivers: modeling and uncertainty issues A. Gelfan et al. 10.1007/s10584-016-1710-5
- Multi-model approach to assess the impact of climate change on runoff J. Dams et al. 10.1016/j.jhydrol.2015.08.023
- Linking meteorological patterns shift to hydrological extremes in a lake watershed across the mid-high latitude transition region Z. Sun & T. Lotz 10.1007/s00477-020-01822-z
- Upscaling Surface Runoff Routing Processes in Large-Scale Hydrologic Models: Application to the Ohio River Basin Y. Zhao & E. Beighley 10.1061/(ASCE)HE.1943-5584.0001478
- Economic indicators of hydrologic drought insurance under water demand and climate change scenarios in a Brazilian context G. Mohor & E. Mendiondo 10.1016/j.ecolecon.2017.04.014
- A comparison of estimators of the conditional mean under non-stationary conditions R. Vogel & C. Kroll 10.1016/j.advwatres.2020.103672
- HESS Opinions: Towards a common vision for the future of hydrological observatories P. Nasta et al. 10.5194/hess-29-465-2025
- Conceptual model building inspired by field-mapped runoff generation mechanisms A. Viglione et al. 10.2478/johh-2018-0010
- CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil V. Chagas et al. 10.5194/essd-12-2075-2020
- Technical note: Inference in hydrology from entropy balance considerations S. Kollet 10.5194/hess-20-2801-2016
- Characterizing the nonlinear dynamics of hydrological systems based on global recurrence analysis S. Yu et al. 10.1016/j.jhydrol.2025.132817
- Predicting the resilience and recovery of aquatic systems: A framework for model evolution within environmental observatories M. Hipsey et al. 10.1002/2015WR017175
- Simple hydrological models for assessing the impact of forest cover change on streamflow for large catchments with a dry tropical climate Z. Cheng & B. Yu 10.1080/02626667.2024.2310488
- Catchments' hedging strategy on evapotranspiration for climatic variability C. Zhang et al. 10.1002/2016WR019384
- Preface: Linking landscape organisation and hydrological functioning: from hypotheses and observations to concepts, models and understanding C. Jackisch et al. 10.5194/hess-25-5277-2021
- Quantitative precipitation estimation with weather radar using a data- and information-based approach M. Neuper & U. Ehret 10.5194/hess-23-3711-2019
- Bruzzano river mouth damage due to meteorological events C. Canale et al. 10.1080/15715124.2021.1901725
- Is ET often oversimplified in hydrologic models? Using long records to elucidate unaccounted for controls on ET C. Kelleher & S. Shaw 10.1016/j.jhydrol.2017.12.018
- Hydrological responses to land use and land cover change and climate dynamics in the Rift Valley Lakes Basin, Ethiopia A. Ayalew et al. 10.2166/wcc.2023.138
- Overview of Landslide Hydrology R. Sidle et al. 10.3390/w11010148
- Large-sample hydrology: a need to balance depth with breadth H. Gupta et al. 10.5194/hess-18-463-2014
- Sensitivity of global terrestrial gross primary production to hydrologic states simulated by the Community Land Model using two runoff parameterizations H. Lei et al. 10.1002/2013MS000252
- Catchment coevolution: A useful framework for improving predictions of hydrological change? P. Troch et al. 10.1002/2015WR017032
- What we see now: Event-persistence and the predictability of hydro-eco-geomorphological systems K. Beven 10.1016/j.ecolmodel.2014.07.019
- A compound event framework for understanding extreme impacts M. Leonard et al. 10.1002/wcc.252
73 citations as recorded by crossref.
- Vegetation optimality explains the convergence of catchments on the Budyko curve R. Nijzink & S. Schymanski 10.5194/hess-26-6289-2022
- Using the maximum entropy production approach to integrate energy budget modelling in a hydrological model A. Maheu et al. 10.5194/hess-23-3843-2019
- Testing the robustness of the physically-based ECOMAG model with respect to changing conditions A. Gelfan et al. 10.1080/02626667.2014.935780
- Water security in an Andean basin: an integrated socio-hydrological, multi-scenario and allocation assessment E. Cepeda Arias et al. 10.1080/02626667.2024.2325653
- Sensitivity of Estuaries to Compound Flooding L. Harrison et al. 10.1007/s12237-021-00996-1
- Hydrological Basis of Different Budyko Equations: The Spatial Variability of Available Water for Evaporation L. Yao & D. Wang 10.1029/2021WR030921
- Reducing structural uncertainty in conceptual hydrological modelling in the semi-arid Andes P. Hublart et al. 10.5194/hess-19-2295-2015
- Is There a Baseflow Budyko Curve? S. Gnann et al. 10.1029/2018WR024464
- Where should hydrology go? An early-career perspective on the next IAHS Scientific Decade: 2023–2032 T. van Hateren et al. 10.1080/02626667.2023.2170754
- Multi-Model Approach to Quantify Future Sediment and Pollutant Loads and Ecosystem Change in Selenga River System S. Chalov et al. 10.1134/S0097807818060210
- Virtual field trips in hydrological field laboratories: The potential of virtual reality for conveying hydrological engineering content P. Grosser et al. 10.1007/s10639-022-11434-5
- Does the Budyko curve reflect a maximum-power state of hydrological systems? A backward analysis M. Westhoff et al. 10.5194/hess-20-479-2016
- On the dynamic nature of hydrological similarity R. Loritz et al. 10.5194/hess-22-3663-2018
- The Evolution of Hillslope Hydrology: Links Between Form, Function and the Underlying Control of Geology A. Hartmann & T. Blume 10.1029/2023WR035937
- Invited perspectives: Integrating hydrologic information into the next generation of landslide early warning systems B. Mirus et al. 10.5194/nhess-25-169-2025
- Comparing spatial and temporal transferability of hydrological model parameters S. Patil & M. Stieglitz 10.1016/j.jhydrol.2015.04.003
- Improving the theoretical underpinnings of process‐based hydrologic models M. Clark et al. 10.1002/2015WR017910
- Dynamic earth system and ecological controls of rainfall-initiated landslides R. Sidle & T. Bogaard 10.1016/j.earscirev.2016.05.013
- Tracing Temporal Changes of Model Parameters in Rainfall-Runoff Modeling via a Real-Time Data Assimilation S. Meng et al. 10.3390/w8010019
- Climatic and anthropogenic drivers of a drying Himalayan river G. Penny et al. 10.5194/hess-26-375-2022
- A process‐based approach to attribution of historical streamflow decline in a data‐scarce and human‐dominated watershed G. Penny et al. 10.1002/hyp.13707
- Technical note: Complexity–uncertainty curve (c-u-curve) – a method to analyse, classify and compare dynamical systems U. Ehret & P. Dey 10.5194/hess-27-2591-2023
- Is Compositional Data Analysis (CoDA) a theory able to discover complex dynamics in aqueous geochemical systems? R. Sauro Graziano et al. 10.1016/j.gexplo.2020.106465
- Watershed Hydrology: Scientific Advances and Environmental Assessments X. Yu & C. Duffy 10.3390/w10030288
- Assessment of the flood hazard arising from land use change in a forested catchment in northern Iran F. Hajian et al. 10.1111/jfr3.12481
- Sensitivity of potential evaporation estimates to 100 years of climate variability R. Bartholomeus et al. 10.5194/hess-19-997-2015
- Using Natural Experiments and Counterfactuals for Causal Assessment: River Salinity and the Ganges Water Agreement G. Penny et al. 10.1029/2019WR026166
- Parsimonious nonstationary flood frequency analysis J. Serago & R. Vogel 10.1016/j.advwatres.2017.11.026
- JAMES BUTTLE REVIEW: A resilience framework for physical hydrology B. Newton & C. Spence 10.1002/hyp.14926
- The streamwater microbiome encodes hydrologic data across scales D. URycki et al. 10.1016/j.scitotenv.2022.157911
- Socio-hydrological modelling: a review asking "why, what and how?" P. Blair & W. Buytaert 10.5194/hess-20-443-2016
- Identification of Dominant Hydrological Mechanisms Using Bayesian Inference, Multiple Statistical Hypothesis Testing, and Flexible Models C. Prieto et al. 10.1029/2020WR028338
- Impact of rapid anthropogenic environmental change on water security in a tropical Andean basin E. Cepeda Arias et al. 10.1016/j.wasec.2024.100175
- An ET-Based Two-Phase Method for the Calibration and Application of Distributed Hydrological Models Z. Sun et al. 10.1007/s11269-021-02774-x
- Use of streamflow indices to identify the catchment drivers of hydrographs J. Mathai & P. Mujumdar 10.5194/hess-26-2019-2022
- Pattern-based assessment of the influence of catchment characteristics on urban stormwater quality A. Chowdhury et al. 10.2166/wst.2024.355
- Assessing Catchment Resilience Using Entropy Associated with Mean Annual Runoff for the Upper Vaal Catchment in South Africa M. Ilunga 10.3390/e19050147
- Ecosystem service valuation method through grey water footprint in partially-monitored subtropical watersheds D. Taffarello et al. 10.1016/j.scitotenv.2020.139408
- Hydrological services in the Atlantic Forest, Brazil: An ecosystem-based adaptation using ecohydrological monitoring D. Taffarello et al. 10.1016/j.cliser.2017.10.005
- Assessing the operation rules of a reservoir system based on a detailed modelling chain M. Bruwier et al. 10.5194/nhess-15-365-2015
- Projecting hydropower production under future climates: a guide for decision‐makers and modelers to interpret and design climate change impact assessments B. Schaefli 10.1002/wat2.1083
- Self organizing hydrological processes in a runoff source area N. Brindt et al. 10.1016/j.catena.2021.105955
- The evolution of root-zone moisture capacities after deforestation: a step towards hydrological predictions under change? R. Nijzink et al. 10.5194/hess-20-4775-2016
- Using multi-tracer inference to move beyond single-catchment ecohydrology B. Abbott et al. 10.1016/j.earscirev.2016.06.014
- The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies – Chile dataset C. Alvarez-Garreton et al. 10.5194/hess-22-5817-2018
- Impacts of agriculture and snow dynamics on catchment water balance in the U.S. and Great Britain M. Zaerpour et al. 10.1038/s43247-024-01891-w
- Impact of precipitation and evaporation change on flood runoff over Lake Baikal catchment V. Grigorev et al. 10.1007/s12665-022-10679-0
- A thermodynamic interpretation of Budyko and L'vovich formulations of annual water balance: Proportionality Hypothesis and maximum entropy production D. Wang et al. 10.1002/2014WR016857
- Improved Rainfall‐Runoff Calibration for Drying Climate: Choice of Objective Function K. Fowler et al. 10.1029/2017WR022466
- Processes and Modeling of Initial Soil and Landscape Development: A Review T. Maurer & H. Gerke 10.2136/vzj2016.05.0048
- Machine learning assisted hybrid models can improve streamflow simulation in diverse catchments across the conterminous US G. Konapala et al. 10.1088/1748-9326/aba927
- Evaluation of the Climate Forecast System Reanalysis data for hydrological model in the Arctic watershed Målselv M. Bui et al. 10.2166/wcc.2021.346
- Outward Appearance or Inward Significance? On Experts' Perspectives When Studying and Solving Water Scarcity K. Pramana & M. Ertsen 10.3389/frwa.2022.811862
- Climate change impact on the water regime of two great Arctic rivers: modeling and uncertainty issues A. Gelfan et al. 10.1007/s10584-016-1710-5
- Multi-model approach to assess the impact of climate change on runoff J. Dams et al. 10.1016/j.jhydrol.2015.08.023
- Linking meteorological patterns shift to hydrological extremes in a lake watershed across the mid-high latitude transition region Z. Sun & T. Lotz 10.1007/s00477-020-01822-z
- Upscaling Surface Runoff Routing Processes in Large-Scale Hydrologic Models: Application to the Ohio River Basin Y. Zhao & E. Beighley 10.1061/(ASCE)HE.1943-5584.0001478
- Economic indicators of hydrologic drought insurance under water demand and climate change scenarios in a Brazilian context G. Mohor & E. Mendiondo 10.1016/j.ecolecon.2017.04.014
- A comparison of estimators of the conditional mean under non-stationary conditions R. Vogel & C. Kroll 10.1016/j.advwatres.2020.103672
- HESS Opinions: Towards a common vision for the future of hydrological observatories P. Nasta et al. 10.5194/hess-29-465-2025
- Conceptual model building inspired by field-mapped runoff generation mechanisms A. Viglione et al. 10.2478/johh-2018-0010
- CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil V. Chagas et al. 10.5194/essd-12-2075-2020
- Technical note: Inference in hydrology from entropy balance considerations S. Kollet 10.5194/hess-20-2801-2016
- Characterizing the nonlinear dynamics of hydrological systems based on global recurrence analysis S. Yu et al. 10.1016/j.jhydrol.2025.132817
- Predicting the resilience and recovery of aquatic systems: A framework for model evolution within environmental observatories M. Hipsey et al. 10.1002/2015WR017175
- Simple hydrological models for assessing the impact of forest cover change on streamflow for large catchments with a dry tropical climate Z. Cheng & B. Yu 10.1080/02626667.2024.2310488
- Catchments' hedging strategy on evapotranspiration for climatic variability C. Zhang et al. 10.1002/2016WR019384
- Preface: Linking landscape organisation and hydrological functioning: from hypotheses and observations to concepts, models and understanding C. Jackisch et al. 10.5194/hess-25-5277-2021
- Quantitative precipitation estimation with weather radar using a data- and information-based approach M. Neuper & U. Ehret 10.5194/hess-23-3711-2019
- Bruzzano river mouth damage due to meteorological events C. Canale et al. 10.1080/15715124.2021.1901725
- Is ET often oversimplified in hydrologic models? Using long records to elucidate unaccounted for controls on ET C. Kelleher & S. Shaw 10.1016/j.jhydrol.2017.12.018
- Hydrological responses to land use and land cover change and climate dynamics in the Rift Valley Lakes Basin, Ethiopia A. Ayalew et al. 10.2166/wcc.2023.138
- Overview of Landslide Hydrology R. Sidle et al. 10.3390/w11010148
5 citations as recorded by crossref.
- Large-sample hydrology: a need to balance depth with breadth H. Gupta et al. 10.5194/hess-18-463-2014
- Sensitivity of global terrestrial gross primary production to hydrologic states simulated by the Community Land Model using two runoff parameterizations H. Lei et al. 10.1002/2013MS000252
- Catchment coevolution: A useful framework for improving predictions of hydrological change? P. Troch et al. 10.1002/2015WR017032
- What we see now: Event-persistence and the predictability of hydro-eco-geomorphological systems K. Beven 10.1016/j.ecolmodel.2014.07.019
- A compound event framework for understanding extreme impacts M. Leonard et al. 10.1002/wcc.252
Saved (final revised paper)
Saved (preprint)
Latest update: 07 Mar 2025
