Articles | Volume 23, issue 1
https://doi.org/10.5194/hess-23-465-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-465-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Jan 2019
Research article |
| 25 Jan 2019
| 25 Jan 2019
Integrating multiple satellite observations into a coherent dataset to monitor the full water cycle – application to the Mediterranean region
Laboratoire d'Études du Rayonnement et de la Matière en Astrophysique et Atmosphères, Observatoire de Paris, Paris, France
Estellus, Paris, France
Filipe Aires
Laboratoire d'Études du Rayonnement et de la Matière en Astrophysique et Atmosphères, Observatoire de Paris, Paris, France
Estellus, Paris, France
Simon Munier
Centre National de Recherches Météorologiques, Toulouse, France
Diego Fernández Prieto
European Space Agency, Frascati, Italy
Gabriel Jordá
Institut Mediterrani d'Estudis Avançats, University of the Balearic Islands, Mallorca, Spain
Wouter Arnoud Dorigo
Department of Geodesy and Geoinformation, Technical University, Vienna, Austria
Jan Polcher
Laboratoire de Météorologie Dynamique, Paris, France
Luca Brocca
Istituto di Ricerca per la Protezione Idrogeologica, Perugia, Italy
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Cited
20 citations as recorded by crossref.
- Satellite Remote Sensing of Precipitation and the Terrestrial Water Cycle in a Changing Climate V. Levizzani & E. Cattani 10.3390/rs11192301
- Global Estimates of Land Surface Water Fluxes from SMOS and SMAP Satellite Soil Moisture Data M. Sadeghi et al. 10.1175/JHM-D-19-0150.1
- Merging multiple satellite-based precipitation products and gauge observations using a novel double machine learning approach L. Zhang et al. 10.1016/j.jhydrol.2021.125969
- Global patterns in water flux partitioning: Irrigated and rainfed agriculture drives asymmetrical flux to vegetation over runoff D. Althoff & G. Destouni 10.1016/j.oneear.2023.08.002
- Data‐Driven Worldwide Quantification of Large‐Scale Hydroclimatic Covariation Patterns and Comparison With Reanalysis and Earth System Modeling N. Ghajarnia et al. 10.1029/2020WR029377
- Coherent Satellite Monitoring of the Water Cycle Over the Amazon. Part 1: Methodology and Initial Evaluation V. Pellet et al. 10.1029/2020WR028647
- Synergy between satellite observations of soil moisture and water storage anomalies for runoff estimation S. Camici et al. 10.5194/gmd-15-6935-2022
- Detection of Changes in Evapotranspiration on a Catchment Scale Under Changing Climate Conditions in Selected River Basins of Slovakia A. Keszeliová et al. 10.2478/sjce-2022-0029
- Learning Global Evapotranspiration Dataset Corrections from a Water Cycle Closure Supervision T. Hascoet et al. 10.3390/rs16010170
- On the contribution of remote sensing-based calibration to model hydrological and hydraulic processes in tropical regions A. Meyer Oliveira et al. 10.1016/j.jhydrol.2021.126184
- Coherent Satellite Monitoring of the Water Cycle Over the Amazon. Part 2: Total Water Storage Change and River Discharge Estimation v. Pellet et al. 10.1029/2020WR028648
- Evaluation of Eight High-Resolution Gridded Precipitation Products in the Heihe River Basin, Northwest China Y. Wang & N. Zhao 10.3390/rs14061458
- Water cycle changes in Czechia: a multi-source water budget perspective M. Vargas Godoy et al. 10.5194/hess-28-1-2024
- Estimating Retrieval Errors From Neural Network Inversion Schemes—Application to the Retrieval of Temperature Profiles From IASI F. Aires & V. Pellet 10.1109/TGRS.2020.3026944
- Are Vegetation Dynamics Impacted from a Nuclear Disaster? The Case of Chernobyl Using Remotely Sensed NDVI and Land Cover Data A. Gemitzi 10.3390/land9110433
- GRACEfully Closing the Water Balance: A Data‐Driven Probabilistic Approach Applied to River Basins in Iran G. Schoups & M. Nasseri 10.1029/2020WR029071
- Long-term total water storage change from a Satellite Water Cycle reconstruction over large southern Asian basins V. Pellet et al. 10.5194/hess-24-3033-2020
- Budyko‐Based Long‐Term Water and Energy Balance Closure in Global Watersheds From Earth Observations A. Koppa et al. 10.1029/2020WR028658
- Water and energy budgets over hydrological basins on short and long timescales S. Petch et al. 10.5194/hess-27-1723-2023
- A new approach to ensemble precipitation Estimation: Coupling satellite hydrological products with backward water balance models in Large-Scale P. Dastjerdi et al. 10.1016/j.jhydrol.2023.130564
20 citations as recorded by crossref.
- Satellite Remote Sensing of Precipitation and the Terrestrial Water Cycle in a Changing Climate V. Levizzani & E. Cattani 10.3390/rs11192301
- Global Estimates of Land Surface Water Fluxes from SMOS and SMAP Satellite Soil Moisture Data M. Sadeghi et al. 10.1175/JHM-D-19-0150.1
- Merging multiple satellite-based precipitation products and gauge observations using a novel double machine learning approach L. Zhang et al. 10.1016/j.jhydrol.2021.125969
- Global patterns in water flux partitioning: Irrigated and rainfed agriculture drives asymmetrical flux to vegetation over runoff D. Althoff & G. Destouni 10.1016/j.oneear.2023.08.002
- Data‐Driven Worldwide Quantification of Large‐Scale Hydroclimatic Covariation Patterns and Comparison With Reanalysis and Earth System Modeling N. Ghajarnia et al. 10.1029/2020WR029377
- Coherent Satellite Monitoring of the Water Cycle Over the Amazon. Part 1: Methodology and Initial Evaluation V. Pellet et al. 10.1029/2020WR028647
- Synergy between satellite observations of soil moisture and water storage anomalies for runoff estimation S. Camici et al. 10.5194/gmd-15-6935-2022
- Detection of Changes in Evapotranspiration on a Catchment Scale Under Changing Climate Conditions in Selected River Basins of Slovakia A. Keszeliová et al. 10.2478/sjce-2022-0029
- Learning Global Evapotranspiration Dataset Corrections from a Water Cycle Closure Supervision T. Hascoet et al. 10.3390/rs16010170
- On the contribution of remote sensing-based calibration to model hydrological and hydraulic processes in tropical regions A. Meyer Oliveira et al. 10.1016/j.jhydrol.2021.126184
- Coherent Satellite Monitoring of the Water Cycle Over the Amazon. Part 2: Total Water Storage Change and River Discharge Estimation v. Pellet et al. 10.1029/2020WR028648
- Evaluation of Eight High-Resolution Gridded Precipitation Products in the Heihe River Basin, Northwest China Y. Wang & N. Zhao 10.3390/rs14061458
- Water cycle changes in Czechia: a multi-source water budget perspective M. Vargas Godoy et al. 10.5194/hess-28-1-2024
- Estimating Retrieval Errors From Neural Network Inversion Schemes—Application to the Retrieval of Temperature Profiles From IASI F. Aires & V. Pellet 10.1109/TGRS.2020.3026944
- Are Vegetation Dynamics Impacted from a Nuclear Disaster? The Case of Chernobyl Using Remotely Sensed NDVI and Land Cover Data A. Gemitzi 10.3390/land9110433
- GRACEfully Closing the Water Balance: A Data‐Driven Probabilistic Approach Applied to River Basins in Iran G. Schoups & M. Nasseri 10.1029/2020WR029071
- Long-term total water storage change from a Satellite Water Cycle reconstruction over large southern Asian basins V. Pellet et al. 10.5194/hess-24-3033-2020
- Budyko‐Based Long‐Term Water and Energy Balance Closure in Global Watersheds From Earth Observations A. Koppa et al. 10.1029/2020WR028658
- Water and energy budgets over hydrological basins on short and long timescales S. Petch et al. 10.5194/hess-27-1723-2023
- A new approach to ensemble precipitation Estimation: Coupling satellite hydrological products with backward water balance models in Large-Scale P. Dastjerdi et al. 10.1016/j.jhydrol.2023.130564
Discussed (preprint)
Latest update: 23 Apr 2024
Short summary
This study is an effort for a better understanding and quantification of the water cycle and related processes in the Mediterranean region, by dealing with satellite products and their uncertainties. The aims of the paper are 3-fold: (1) developing methods with hydrological constraints to integrate all the datasets, (2) giving the full picture of the Mediterranean WC, and (3) building a model-independent database that can evaluate the numerous regional climate models (RCMs) for this region.
This study is an effort for a better understanding and quantification of the water cycle and...
