Articles | Volume 13, issue 4
https://doi.org/10.5194/essd-13-1531-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-1531-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
13 Apr 2021
Data description article |
| 13 Apr 2021
| 13 Apr 2021
HydroGFD3.0 (Hydrological Global Forcing Data): a 25 km global precipitation and temperature data set updated in near-real time
Swedish Meteorological and
Hydrological Institute, Folkborgsvägen 17, 60176
Norrköping, Sweden
Fredrik Almén
Swedish Meteorological and
Hydrological Institute, Folkborgsvägen 17, 60176
Norrköping, Sweden
Denica Bozhinova
Swedish Meteorological and
Hydrological Institute, Folkborgsvägen 17, 60176
Norrköping, Sweden
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- SGD-SM 2.0: an improved seamless global daily soil moisture long-term dataset from 2002 to 2022 Q. Zhang et al. https://doi.org/10.5194/essd-14-4473-2022
- Temperature outweighs light and flow as the predominant driver of dissolved oxygen in US rivers W. Zhi et al. https://doi.org/10.1038/s44221-023-00038-z
- The heat is on: Implications of extreme temperatures on productive and defensive inputs in West Africa M. Tabe-Ojong & J. Lokossou https://doi.org/10.1016/j.ecolecon.2026.109073
- Customizing large-scale hydrological models: Harnessing the open data realm for impactful local applications I. Pechlivanidis & J. Musuuza https://doi.org/10.1016/j.ejrh.2025.102390
- Global hydrological reanalyses: The value of river discharge information for world‐wide downstream applications – The example of the Global Flood Awareness System GloFAS C. Prudhomme et al. https://doi.org/10.1002/met.2192
- Robustness of hydrometeorological extremes in surrogated seasonal forecasts K. Klehmet et al. https://doi.org/10.1002/joc.8407
- Assessment of 30 gridded precipitation datasets over different climates on a country scale A. Araghi & J. Adamowski https://doi.org/10.1007/s12145-023-01215-0
- Turning up the heat: Extreme heat and labor implications in West Africa M. Tabe-Ojong et al. https://doi.org/10.1016/j.jdeveco.2025.103683
- Hybrid approaches enhance hydrological model usability for local streamflow prediction Y. Du & I. Pechlivanidis https://doi.org/10.1038/s43247-025-02324-y
- Impact of climate change on hydrological processes in data-scarce regions: A case study in Tianshan Mountain, Central Asia H. Wang et al. https://doi.org/10.1016/j.ejrh.2026.103553
- Climate change water management planning based on hydrological models X. Xu https://doi.org/10.3233/JIFS-233939
- MIdASv0.2.1 – MultI-scale bias AdjuStment P. Berg et al. https://doi.org/10.5194/gmd-15-6165-2022
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- DISSOLVED OXYGEN CONCENTRATION WATER DYNAMICS WITH DISCHARGE OF THE NUCLEAR POWER PLANT UNDER THE INFLUENCE OF TEMPERATURE EFFECT P. Kuznietsov & O. Biedunkova https://doi.org/10.46813/2024-152-094
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- The role of multi-criteria decision analysis in a transdisciplinary process: co-developing a flood forecasting system in western Africa J. Lienert et al. https://doi.org/10.5194/hess-26-2899-2022
- Identification of robust catchment classification methods for Sahelian watersheds P. Darbandsari et al. https://doi.org/10.1016/j.ejrh.2024.102067
- Data Integration for Investigating Drivers of Water Quality Variability in the Banja Reservoir Watershed E. Matta et al. https://doi.org/10.3390/w15030607
- Comparing Satellite, Reanalysis, Fused and Gridded (In Situ) Precipitation Products Over Türkiye A. Akbas & H. Ozdemir https://doi.org/10.1002/joc.8671
- Review of gridded climate products and their use in hydrological analyses reveals overlaps, gaps, and the need for a more objective approach to selecting model forcing datasets K. Mankin et al. https://doi.org/10.5194/hess-29-85-2025
- Advances in remote sensing and GIS applications in watershed hydrology: a systematic review R. Patel et al. https://doi.org/10.1016/j.jhydrol.2025.134459
- SPI and SPEI Drought Assessment and Prediction Using TBATS and ARIMA Models, Jordan N. Hasan et al. https://doi.org/10.3390/w15203598
- Implications of a Paris-proof scenario for future supply of weather-dependent variable renewable energy in Europe J. Hu et al. https://doi.org/10.1016/j.adapen.2023.100134
- Evaluating global precipitation datasets over Sicily: From daily estimates to extreme events M. Yıldız et al. https://doi.org/10.1016/j.ejrh.2025.103062
Saved (final revised paper)
Latest update: 28 Jul 2026
Short summary
HydroGFD3.0 (Hydrological Global Forcing Data) is a data set of daily precipitation and temperature intended for use in hydrological modelling. The method uses different observational data sources to correct the variables from a model estimation of precipitation and temperature. An openly available data set covers the years 1979–2019, and times after this are available by request.
HydroGFD3.0 (Hydrological Global Forcing Data) is a data set of daily precipitation and...
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