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 paper
| 
13 Apr 2021
Data description paper |
| 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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16 citations as recorded by crossref.
- Climate change water management planning based on hydrological models X. Xu 10.3233/JIFS-233939
- MIdASv0.2.1 – MultI-scale bias AdjuStment P. Berg et al. 10.5194/gmd-15-6165-2022
- Application-based evaluation of multi-basin hydrological models Y. Du et al. 10.1016/j.jhydrol.2024.131727
- DISSOLVED OXYGEN CONCENTRATION WATER DYNAMICS WITH DISCHARGE OF THE NUCLEAR POWER PLANT UNDER THE INFLUENCE OF TEMPERATURE EFFECT P. Kuznietsov & O. Biedunkova 10.46813/2024-152-094
- SGD-SM 2.0: an improved seamless global daily soil moisture long-term dataset from 2002 to 2022 Q. Zhang et al. 10.5194/essd-14-4473-2022
- The role of multi-criteria decision analysis in a transdisciplinary process: co-developing a flood forecasting system in western Africa J. Lienert et al. 10.5194/hess-26-2899-2022
- Identification of robust catchment classification methods for Sahelian watersheds P. Darbandsari et al. 10.1016/j.ejrh.2024.102067
- Temperature outweighs light and flow as the predominant driver of dissolved oxygen in US rivers W. Zhi et al. 10.1038/s44221-023-00038-z
- Data Integration for Investigating Drivers of Water Quality Variability in the Banja Reservoir Watershed E. Matta et al. 10.3390/w15030607
- 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. 10.1002/met.2192
- Comparing Satellite, Reanalysis, Fused and Gridded (In Situ) Precipitation Products Over Türkiye A. Akbas & H. Ozdemir 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. 10.5194/hess-29-85-2025
- SPI and SPEI Drought Assessment and Prediction Using TBATS and ARIMA Models, Jordan N. Hasan et al. 10.3390/w15203598
- Implications of a Paris-proof scenario for future supply of weather-dependent variable renewable energy in Europe J. Hu et al. 10.1016/j.adapen.2023.100134
- Robustness of hydrometeorological extremes in surrogated seasonal forecasts K. Klehmet et al. 10.1002/joc.8407
- Assessment of 30 gridded precipitation datasets over different climates on a country scale A. Araghi & J. Adamowski 10.1007/s12145-023-01215-0
Latest update: 22 Feb 2025
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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