Articles | Volume 8, issue 2
https://doi.org/10.5194/essd-8-279-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/essd-8-279-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
07 Jul 2016
Observation-based gridded runoff estimates for Europe (E-RUN version 1.1)
Lukas Gudmundsson
CORRESPONDING AUTHOR
Institute for Atmospheric and Climate Science,
ETH Zurich, Universitaetstrasse 16, 8092 Zurich, Switzerland
Sonia I. Seneviratne
Institute for Atmospheric and Climate Science,
ETH Zurich, Universitaetstrasse 16, 8092 Zurich, Switzerland
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Cited
35 citations as recorded by crossref.
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- Changes of Hydrological Extremes in the Center of Eastern Europe and Their Plausible Causes I. Danilovich et al. 10.3390/w15162992
- Large-sample hydrology: recent progress, guidelines for new datasets and grand challenges N. Addor et al. 10.1080/02626667.2019.1683182
- The Global Streamflow Indices and Metadata Archive (GSIM) – Part 2: Quality control, time-series indices and homogeneity assessment L. Gudmundsson et al. 10.5194/essd-10-787-2018
- Evaluating the performance of random forest for large-scale flood discharge simulation L. Schoppa et al. 10.1016/j.jhydrol.2020.125531
- Hybrid multi-model ensemble learning for reconstructing gridded runoff of Europe for 500 years U. Singh et al. 10.1016/j.inffus.2023.101807
- Spatial Patterns in Actual Evapotranspiration Climatologies for Europe S. Stisen et al. 10.3390/rs13122410
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- Large‐Scale Controls of the Surface Water Balance Over Land: Insights From a Systematic Review and Meta‐Analysis R. Padrón et al. 10.1002/2017WR021215
- Geo-LiM: a new geo-lithological map for Central Europe (Germany, France, Switzerland, Austria, Slovenia, and Northern Italy) as a tool for the estimation of atmospheric CO2 consumption M. Donnini et al. 10.1080/17445647.2019.1692082
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- Russian Hydropower under the Global Climate Change V. Klimenko & E. Fedotova 10.1134/S1028335819010051
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- Anthropogenic climate change detected in European renewable freshwater resources L. Gudmundsson et al. 10.1038/nclimate3416
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- Development of a Regional Gridded Runoff Dataset Using Long Short-Term Memory (LSTM) Networks G. Ayzel et al. 10.3390/hydrology8010006
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- G‐RUN ENSEMBLE: A Multi‐Forcing Observation‐Based Global Runoff Reanalysis G. Ghiggi et al. 10.1029/2020WR028787
- GRUN: an observation-based global gridded runoff dataset from 1902 to 2014 G. Ghiggi et al. 10.5194/essd-11-1655-2019
- Hybrid Multi-Model Ensemble Learning for Reconstructing Gridded Runoff of Europe for 500 Years U. Singh et al. 10.2139/ssrn.4188518
- Inter-annual variability of the global terrestrial water cycle D. Yin & M. Roderick 10.5194/hess-24-381-2020
- Understanding terrestrial water storage variations in northern latitudes across scales T. Trautmann et al. 10.5194/hess-22-4061-2018
- Development of multi-model ensemble climate estimates using open-source environment V. Klimenko & E. Fedotova 10.1088/1755-1315/211/1/012084
- Synergy between satellite observations of soil moisture and water storage anomalies for runoff estimation S. Camici et al. 10.5194/gmd-15-6935-2022
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- State-of-the-art global models underestimate impacts from climate extremes J. Schewe et al. 10.1038/s41467-019-08745-6
35 citations as recorded by crossref.
- Evaluation of the Water Cycle in the European COSMO-REA6 Reanalysis Using GRACE A. Springer et al. 10.3390/w9040289
- Changes of Hydrological Extremes in the Center of Eastern Europe and Their Plausible Causes I. Danilovich et al. 10.3390/w15162992
- Large-sample hydrology: recent progress, guidelines for new datasets and grand challenges N. Addor et al. 10.1080/02626667.2019.1683182
- The Global Streamflow Indices and Metadata Archive (GSIM) – Part 2: Quality control, time-series indices and homogeneity assessment L. Gudmundsson et al. 10.5194/essd-10-787-2018
- Evaluating the performance of random forest for large-scale flood discharge simulation L. Schoppa et al. 10.1016/j.jhydrol.2020.125531
- Hybrid multi-model ensemble learning for reconstructing gridded runoff of Europe for 500 years U. Singh et al. 10.1016/j.inffus.2023.101807
- Spatial Patterns in Actual Evapotranspiration Climatologies for Europe S. Stisen et al. 10.3390/rs13122410
- The globalization of Mediterranean agriculture: A long-term view of the impact on water consumption R. Duarte et al. 10.1016/j.ecolecon.2021.106964
- Large‐Scale Controls of the Surface Water Balance Over Land: Insights From a Systematic Review and Meta‐Analysis R. Padrón et al. 10.1002/2017WR021215
- Geo-LiM: a new geo-lithological map for Central Europe (Germany, France, Switzerland, Austria, Slovenia, and Northern Italy) as a tool for the estimation of atmospheric CO2 consumption M. Donnini et al. 10.1080/17445647.2019.1692082
- Simbi: historical hydro-meteorological time series and signatures for 24 catchments in Haiti R. Bathelemy et al. 10.5194/essd-16-2073-2024
- Russian Hydropower under the Global Climate Change V. Klimenko & E. Fedotova 10.1134/S1028335819010051
- Majority of global river flow sustained by groundwater J. Xie et al. 10.1038/s41561-024-01483-5
- Anthropogenic climate change detected in European renewable freshwater resources L. Gudmundsson et al. 10.1038/nclimate3416
- In-Channel Managed Aquifer Recharge: A Review of Current Development Worldwide and Future Potential in Europe K. Standen et al. 10.3390/w12113099
- Climate Change Impact Assessment on Freshwater Inflow into the Small Aral Sea G. Ayzel & A. Izhitskiy 10.3390/w11112377
- Modelling the water balance of Lake Victoria (East Africa) – Part 1: Observational analysis I. Vanderkelen et al. 10.5194/hess-22-5509-2018
- Development of an Extreme Gradient Boosting Model Integrated With Evolutionary Algorithms for Hourly Water Level Prediction D. Nguyen et al. 10.1109/ACCESS.2021.3111287
- Daily station-level records of air temperature, snow depth, and ground temperature in the Northern Hemisphere V. Tran et al. 10.1038/s41597-024-03483-x
- Improving soil moisture and runoff simulations at 3 km over Europe using land surface data assimilation B. Naz et al. 10.5194/hess-23-277-2019
- Development of a Regional Gridded Runoff Dataset Using Long Short-Term Memory (LSTM) Networks G. Ayzel et al. 10.3390/hydrology8010006
- The 63-year changes in annual streamflow volumes across Europe with a focus on the Mediterranean basin D. Masseroni et al. 10.5194/hess-25-5589-2021
- Climate-dependent propagation of precipitation uncertainty into the water cycle A. Fallah et al. 10.5194/hess-24-3725-2020
- The Global Streamflow Indices and Metadata Archive (GSIM) – Part 1: The production of a daily streamflow archive and metadata H. Do et al. 10.5194/essd-10-765-2018
- Climate Change in the Mediterranean Basin (Part I): Induced Alterations on Climate Forcings and Hydrological Processes L. Noto et al. 10.1007/s11269-022-03400-0
- The influence of regional hydrometric data incorporation on the accuracy of gridded reconstruction of monthly runoff G. Ayzel et al. 10.1080/02626667.2020.1762886
- G‐RUN ENSEMBLE: A Multi‐Forcing Observation‐Based Global Runoff Reanalysis G. Ghiggi et al. 10.1029/2020WR028787
- GRUN: an observation-based global gridded runoff dataset from 1902 to 2014 G. Ghiggi et al. 10.5194/essd-11-1655-2019
- Hybrid Multi-Model Ensemble Learning for Reconstructing Gridded Runoff of Europe for 500 Years U. Singh et al. 10.2139/ssrn.4188518
- Inter-annual variability of the global terrestrial water cycle D. Yin & M. Roderick 10.5194/hess-24-381-2020
- Understanding terrestrial water storage variations in northern latitudes across scales T. Trautmann et al. 10.5194/hess-22-4061-2018
- Development of multi-model ensemble climate estimates using open-source environment V. Klimenko & E. Fedotova 10.1088/1755-1315/211/1/012084
- Synergy between satellite observations of soil moisture and water storage anomalies for runoff estimation S. Camici et al. 10.5194/gmd-15-6935-2022
- Generation and evaluation of energy and water fluxes from the HOLAPS framework: Comparison with satellite-based products during extreme hot weather A. García-García & J. Peng 10.1016/j.rse.2024.114451
- State-of-the-art global models underestimate impacts from climate extremes J. Schewe et al. 10.1038/s41467-019-08745-6
Saved (preprint)
Latest update: 02 Nov 2024
Short summary
Despite the scientific and societal relevance of freshwater, there are to date no observation-based pan-European runoff estimates available. Here we employ state-of-the-art techniques to estimate monthly runoff rates in Europe. The new data product is based on an unprecedented collection of river flow observations which are combined with atmospheric variables using machine learning. Potential applications of the presented product include climatological assessments and drought monitoring.
Despite the scientific and societal relevance of freshwater, there are to date no...
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