Articles | Volume 11, issue 3
https://doi.org/10.5194/essd-11-1017-2019
© 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/essd-11-1017-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
10 Jul 2019
Data description article |
| 10 Jul 2019
| 10 Jul 2019
FROGS: a daily 1° × 1° gridded precipitation database of rain gauge, satellite and reanalysis products
Rémy Roca
CORRESPONDING AUTHOR
Laboratoire d'Etudes Géophysiques et d'Océanographie
Spatiales, Toulouse, France
Lisa V. Alexander
Climate Change Research Centre, University of New South Wales, Sydney, Australia
ARC Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, Australia
Gerald Potter
NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Margot Bador
Climate Change Research Centre, University of New South Wales, Sydney, Australia
ARC Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, Australia
Rômulo Jucá
Geoscience Environnement Toulouse, Toulouse, France
Steefan Contractor
Climate Change Research Centre, University of New South Wales, Sydney, Australia
School of Mathematics and Statistics, University of New South Wales, Sydney, Australia
Michael G. Bosilovich
NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Sophie Cloché
IPSL, Palaiseau, France
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Cited
71 citations as recorded by crossref.
- Evaluating Precipitation Datasets Using Surface Water and Energy Budget Closure S. Hobeichi et al. https://doi.org/10.1175/JHM-D-19-0255.1
- The evaluation of convectively coupled waves in limited-length datasets C. Xu et al. https://doi.org/10.1007/s00382-026-08106-2
- Ranking of gridded precipitation datasets by merging compromise programming and global performance index: a case study of the Amu Darya basin O. Salehie et al. https://doi.org/10.1007/s00704-021-03582-4
- Characterizing the performances of different observational precipitation products and their uncertainties over Africa B. Ayugi et al. https://doi.org/10.1088/1748-9326/ad416b
- Global mean frequency increases of daily and sub-daily heavy precipitation in ERA5 M. Chinita et al. https://doi.org/10.1088/1748-9326/ac0caa
- Extreme precipitation in the tropics is closely associated with long-lived convective systems R. Roca & T. Fiolleau https://doi.org/10.1038/s43247-020-00015-4
- Estimation of bioclimatic variables of Mongolia derived from remote sensing data M. Otgonbayar et al. https://doi.org/10.1007/s11707-020-0862-9
- Inter-product biases in global precipitation extremes H. Masunaga et al. https://doi.org/10.1088/1748-9326/ab5da9
- Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa M. Dembélé et al. https://doi.org/10.5194/hess-24-5379-2020
- Using Large Ensembles to Identify Regions of Systematic Biases in Moderate‐to‐Heavy Daily Precipitation N. Goldenson et al. https://doi.org/10.1029/2020GL092026
- Limited Contribution of Glacier Mass Loss to the Recent Increase in Tibetan Plateau Lake Volume F. Brun et al. https://doi.org/10.3389/feart.2020.582060
- Multi-Sensor Precipitation Estimation from Space: Data Sources, Methods and Validation R. Guo et al. https://doi.org/10.3390/rs16244753
- Evaluation of the performance of global rainfall products in the Fiji Islands A. Pratap et al. https://doi.org/10.1007/s00704-026-06197-9
- Intercomparison of annual precipitation indices and extremes over global land areas from in situ, space-based and reanalysis products L. Alexander et al. https://doi.org/10.1088/1748-9326/ab79e2
- A Simple Statistical Model of the Uncertainty Distribution for Daily Gridded Precipitation Multi-Platform Satellite Products R. Oliveira & R. Roca https://doi.org/10.3390/rs14153726
- Rainfall-to-total precipitation proportion increased after bias correction over China from 1961 to 2022 Y. Li & K. Wang https://doi.org/10.1088/1748-9326/ae8fec
- Climate models capture key features of extreme precipitation probabilities across regions C. Martinez-Villalobos & J. Neelin https://doi.org/10.1088/1748-9326/abd351
- Historical assessment and future projection of extreme precipitation in CMIP6 models: Global and continental T. Feng et al. https://doi.org/10.1002/joc.8077
- Assessment of extreme rainfall estimates from satellite-based: Regional analysis R. Araujo Palharini et al. https://doi.org/10.1016/j.rsase.2021.100603
- Artificial neural network based PERSIANN data sets in evaluation of hydrologic utility of precipitation estimations in a tropical watershed of Sri Lanka M. Gunathilake et al. https://doi.org/10.3934/geosci.2021027
- Impact of Higher Spatial Atmospheric Resolution on Precipitation Extremes Over Land in Global Climate Models M. Bador et al. https://doi.org/10.1029/2019JD032184
- Extreme Precipitating Events in Satellite and Rain Gauge Products over the Sahel S. Sanogo et al. https://doi.org/10.1175/JCLI-D-21-0390.1
- Uncertainty in different precipitation products in the case of two atmospheric river events A. Ramos et al. https://doi.org/10.1088/1748-9326/abe25b
- Tropical Waves Are Key Drivers of Extreme Precipitation Events in the Central Sahel P. Peyrillé et al. https://doi.org/10.1029/2023GL103715
- Understanding the evolving patterns of extreme rainfall C. Bonfils et al. https://doi.org/10.1038/s43247-026-03516-w
- Occurrence and trends of historical tropical cyclone rainfall on near-coastal regions of Australia S. Bell et al. https://doi.org/10.1071/ES23015
- Future projections of precipitation extremes over East Asia based on a deep learning downscaled CMIP6 high-resolution (0.1°) dataset Y. Yang et al. https://doi.org/10.1007/s10584-024-03844-w
- Changes in precipitation variability across time scales in multiple global climate model large ensembles R. Wood et al. https://doi.org/10.1088/1748-9326/ac10dd
- Evaluating precipitation distributions at regional scales: a benchmarking framework and application to CMIP5 and 6 models M. Ahn et al. https://doi.org/10.5194/gmd-16-3927-2023
- Spatiotemporal variation of precipitation on a global scale from 1960 to 2016 in a new normalized daily precipitation dataset J. Liu et al. https://doi.org/10.1002/joc.7437
- What Can We Know About Recent Past Precipitation Over Africa? Daily Characteristics of African Precipitation From a Large Ensemble of Observational Products for Model Evaluation A. Dosio et al. https://doi.org/10.1029/2020EA001466
- Drivers of seasonal rainfall variability over the Angolan and Namibian plateaus C. Pereira et al. https://doi.org/10.1002/joc.8545
- Precipitating Fraction, Not Intensity, Explains Extreme Coarse‐Grained Precipitation Clausius‐Clapeyron Scaling With Sea Surface Temperature Over Tropical Oceans R. Roca et al. https://doi.org/10.1029/2022GL100624
- Thermodynamic Scaling of Extreme Daily Precipitation over the Tropical Ocean from Satellite Observations V. De MEYER & R. ROCA https://doi.org/10.2151/jmsj.2021-020
- Diverse estimates of annual maxima daily precipitation in 22 state-of-the-art quasi-global land observation datasets M. Bador et al. https://doi.org/10.1088/1748-9326/ab6a22
- On the use of indices to study extreme precipitation on sub-daily and daily timescales L. Alexander et al. https://doi.org/10.1088/1748-9326/ab51b6
- Precipitation Diurnal Cycle Assessment of Satellite-Based Estimates over Brazil J. Afonso et al. https://doi.org/10.3390/rs12142339
- Remote influence on regional scale intraseasonal rainfall variability over Vietnam H. Le et al. https://doi.org/10.1002/joc.8377
- Sustained Water Storage in Horn of Africa Drylands Dominated by Seasonal Rainfall Extremes M. Adloff et al. https://doi.org/10.1029/2022GL099299
- The historical to future linkage of Arctic amplification on extreme precipitation over the Northern Hemisphere using CMIP5 and CMIP6 models J. Liu et al. https://doi.org/10.1016/j.accre.2024.07.008
- Analysis of Extreme Rainfall and Natural Disasters Events Using Satellite Precipitation Products in Different Regions of Brazil R. Palharini et al. https://doi.org/10.3390/atmos13101680
- Earth's water reservoirs in a changing climate G. Stephens et al. https://doi.org/10.1098/rspa.2019.0458
- Climate-dependent propagation of precipitation uncertainty into the water cycle A. Fallah et al. https://doi.org/10.5194/hess-24-3725-2020
- Discrepancies in changes in precipitation characteristics over the contiguous United States based on six daily gridded precipitation datasets I. Mallakpour et al. https://doi.org/10.1016/j.wace.2022.100433
- Assessment of 21st Century Changing Sea Surface Temperature, Rainfall, and Sea Surface Height Patterns in the Tropical Pacific Islands Using CMIP6 Greenhouse Warming Projections L. Dhage & M. Widlansky https://doi.org/10.1029/2021EF002524
- Intercomparison of bias correction methods for precipitation of multiple GCMs across six continents Y. Song & E. Chung https://doi.org/10.5194/gmd-18-8017-2025
- Observation-constrained projections reveal longer-than-expected dry spells I. Petrova et al. https://doi.org/10.1038/s41586-024-07887-y
- Large global-scale vegetation sensitivity to daily rainfall variability A. Feldman et al. https://doi.org/10.1038/s41586-024-08232-z
- Multifractal detrended fluctuation analysis of hydroclimatic series across Uganda in East Africa M. Opwonya & C. Onyutha https://doi.org/10.1016/j.hydrch.2026.100007
- Changes in Observed Daily Precipitation over Global Land Areas since 1950 S. Contractor et al. https://doi.org/10.1175/JCLI-D-19-0965.1
- Effects of coupling a stochastic convective parameterization with the Zhang–McFarlane scheme on precipitation simulation in the DOE E3SMv1.0 atmosphere model Y. Wang et al. https://doi.org/10.5194/gmd-14-1575-2021
- Constraining the increased frequency of global precipitation extremes under warming C. Thackeray et al. https://doi.org/10.1038/s41558-022-01329-1
- Comparison of high-resolution climate reanalysis datasets for hydro-climatic impact studies R. Wood et al. https://doi.org/10.5194/hess-29-4153-2025
- Evaluating the impact of a time-evolving constellation on multi-platform satellite based daily precipitation estimates R. Oliveira et al. https://doi.org/10.1016/j.atmosres.2022.106414
- 2015/16 El Niño increased water demand and pushed plants from a Mesic tropical montane grassland beyond their hydraulic safety limits I. Matos et al. https://doi.org/10.1111/aec.13343
- GIRAFE v1: a global climate data record for precipitation accompanied by a daily sampling uncertainty H. Konrad et al. https://doi.org/10.5194/essd-17-4097-2025
- Anthropogenic influence on extreme precipitation over global land areas seen in multiple observational datasets G. Madakumbura et al. https://doi.org/10.1038/s41467-021-24262-x
- Inter-product biases in extreme precipitation duration and frequency across China J. Lu et al. https://doi.org/10.1088/1748-9326/ad7f73
- Assessment of the Extreme Precipitation by Satellite Estimates over South America R. Palharini et al. https://doi.org/10.3390/rs12132085
- An integration of gauge, satellite, and reanalysis precipitation datasets for the largest river basin of the Tibetan Plateau Y. Wang et al. https://doi.org/10.5194/essd-12-1789-2020
- Evaluation of gridded precipitation datasets over Madagascar H. Randriatsara et al. https://doi.org/10.1002/joc.7628
- Regionally high risk increase for precipitation extreme events under global warming C. Martinez-Villalobos & J. Neelin https://doi.org/10.1038/s41598-023-32372-3
- The observation range adjusted method: a novel approach to accounting for observation uncertainty in model evaluation J. Evans & H. Imran https://doi.org/10.1088/2515-7620/ad5ad8
- Drought severity across Africa: a comparative analysis of multi-source precipitation datasets K. Lim Kam Sian et al. https://doi.org/10.1007/s11069-024-06604-2
- Future extreme precipitation amplified by intensified mesoscale moisture convergence P. Chang et al. https://doi.org/10.1038/s41561-025-01859-1
- The Climate Hazards Center Infrared Precipitation with Stations, Version 3 C. Funk et al. https://doi.org/10.1038/s41597-026-07096-4
- More intense daily precipitation in CORDEX‐SEA regional climate models than their forcing global climate models over Southeast Asia P. Nguyen et al. https://doi.org/10.1002/joc.7619
- On the Robustness of Annual Daily Precipitation Maxima Estimates Over Monsoon Asia P. Nguyen et al. https://doi.org/10.3389/fclim.2020.578785
- Characteristics of extreme rainfall in different gridded datasets over India during 1983–2015 S. Bhattacharyya et al. https://doi.org/10.1016/j.atmosres.2021.105930
- Evaluation of Satellite Rainfall Products over the Mahaweli River Basin in Sri Lanka H. Perera et al. https://doi.org/10.1155/2022/1926854
- Meteorological Drought Variability over Africa from Multisource Datasets K. Lim Kam Sian et al. https://doi.org/10.3390/atmos14061052
71 citations as recorded by crossref.
- Evaluating Precipitation Datasets Using Surface Water and Energy Budget Closure S. Hobeichi et al. https://doi.org/10.1175/JHM-D-19-0255.1
- The evaluation of convectively coupled waves in limited-length datasets C. Xu et al. https://doi.org/10.1007/s00382-026-08106-2
- Ranking of gridded precipitation datasets by merging compromise programming and global performance index: a case study of the Amu Darya basin O. Salehie et al. https://doi.org/10.1007/s00704-021-03582-4
- Characterizing the performances of different observational precipitation products and their uncertainties over Africa B. Ayugi et al. https://doi.org/10.1088/1748-9326/ad416b
- Global mean frequency increases of daily and sub-daily heavy precipitation in ERA5 M. Chinita et al. https://doi.org/10.1088/1748-9326/ac0caa
- Extreme precipitation in the tropics is closely associated with long-lived convective systems R. Roca & T. Fiolleau https://doi.org/10.1038/s43247-020-00015-4
- Estimation of bioclimatic variables of Mongolia derived from remote sensing data M. Otgonbayar et al. https://doi.org/10.1007/s11707-020-0862-9
- Inter-product biases in global precipitation extremes H. Masunaga et al. https://doi.org/10.1088/1748-9326/ab5da9
- Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa M. Dembélé et al. https://doi.org/10.5194/hess-24-5379-2020
- Using Large Ensembles to Identify Regions of Systematic Biases in Moderate‐to‐Heavy Daily Precipitation N. Goldenson et al. https://doi.org/10.1029/2020GL092026
- Limited Contribution of Glacier Mass Loss to the Recent Increase in Tibetan Plateau Lake Volume F. Brun et al. https://doi.org/10.3389/feart.2020.582060
- Multi-Sensor Precipitation Estimation from Space: Data Sources, Methods and Validation R. Guo et al. https://doi.org/10.3390/rs16244753
- Evaluation of the performance of global rainfall products in the Fiji Islands A. Pratap et al. https://doi.org/10.1007/s00704-026-06197-9
- Intercomparison of annual precipitation indices and extremes over global land areas from in situ, space-based and reanalysis products L. Alexander et al. https://doi.org/10.1088/1748-9326/ab79e2
- A Simple Statistical Model of the Uncertainty Distribution for Daily Gridded Precipitation Multi-Platform Satellite Products R. Oliveira & R. Roca https://doi.org/10.3390/rs14153726
- Rainfall-to-total precipitation proportion increased after bias correction over China from 1961 to 2022 Y. Li & K. Wang https://doi.org/10.1088/1748-9326/ae8fec
- Climate models capture key features of extreme precipitation probabilities across regions C. Martinez-Villalobos & J. Neelin https://doi.org/10.1088/1748-9326/abd351
- Historical assessment and future projection of extreme precipitation in CMIP6 models: Global and continental T. Feng et al. https://doi.org/10.1002/joc.8077
- Assessment of extreme rainfall estimates from satellite-based: Regional analysis R. Araujo Palharini et al. https://doi.org/10.1016/j.rsase.2021.100603
- Artificial neural network based PERSIANN data sets in evaluation of hydrologic utility of precipitation estimations in a tropical watershed of Sri Lanka M. Gunathilake et al. https://doi.org/10.3934/geosci.2021027
- Impact of Higher Spatial Atmospheric Resolution on Precipitation Extremes Over Land in Global Climate Models M. Bador et al. https://doi.org/10.1029/2019JD032184
- Extreme Precipitating Events in Satellite and Rain Gauge Products over the Sahel S. Sanogo et al. https://doi.org/10.1175/JCLI-D-21-0390.1
- Uncertainty in different precipitation products in the case of two atmospheric river events A. Ramos et al. https://doi.org/10.1088/1748-9326/abe25b
- Tropical Waves Are Key Drivers of Extreme Precipitation Events in the Central Sahel P. Peyrillé et al. https://doi.org/10.1029/2023GL103715
- Understanding the evolving patterns of extreme rainfall C. Bonfils et al. https://doi.org/10.1038/s43247-026-03516-w
- Occurrence and trends of historical tropical cyclone rainfall on near-coastal regions of Australia S. Bell et al. https://doi.org/10.1071/ES23015
- Future projections of precipitation extremes over East Asia based on a deep learning downscaled CMIP6 high-resolution (0.1°) dataset Y. Yang et al. https://doi.org/10.1007/s10584-024-03844-w
- Changes in precipitation variability across time scales in multiple global climate model large ensembles R. Wood et al. https://doi.org/10.1088/1748-9326/ac10dd
- Evaluating precipitation distributions at regional scales: a benchmarking framework and application to CMIP5 and 6 models M. Ahn et al. https://doi.org/10.5194/gmd-16-3927-2023
- Spatiotemporal variation of precipitation on a global scale from 1960 to 2016 in a new normalized daily precipitation dataset J. Liu et al. https://doi.org/10.1002/joc.7437
- What Can We Know About Recent Past Precipitation Over Africa? Daily Characteristics of African Precipitation From a Large Ensemble of Observational Products for Model Evaluation A. Dosio et al. https://doi.org/10.1029/2020EA001466
- Drivers of seasonal rainfall variability over the Angolan and Namibian plateaus C. Pereira et al. https://doi.org/10.1002/joc.8545
- Precipitating Fraction, Not Intensity, Explains Extreme Coarse‐Grained Precipitation Clausius‐Clapeyron Scaling With Sea Surface Temperature Over Tropical Oceans R. Roca et al. https://doi.org/10.1029/2022GL100624
- Thermodynamic Scaling of Extreme Daily Precipitation over the Tropical Ocean from Satellite Observations V. De MEYER & R. ROCA https://doi.org/10.2151/jmsj.2021-020
- Diverse estimates of annual maxima daily precipitation in 22 state-of-the-art quasi-global land observation datasets M. Bador et al. https://doi.org/10.1088/1748-9326/ab6a22
- On the use of indices to study extreme precipitation on sub-daily and daily timescales L. Alexander et al. https://doi.org/10.1088/1748-9326/ab51b6
- Precipitation Diurnal Cycle Assessment of Satellite-Based Estimates over Brazil J. Afonso et al. https://doi.org/10.3390/rs12142339
- Remote influence on regional scale intraseasonal rainfall variability over Vietnam H. Le et al. https://doi.org/10.1002/joc.8377
- Sustained Water Storage in Horn of Africa Drylands Dominated by Seasonal Rainfall Extremes M. Adloff et al. https://doi.org/10.1029/2022GL099299
- The historical to future linkage of Arctic amplification on extreme precipitation over the Northern Hemisphere using CMIP5 and CMIP6 models J. Liu et al. https://doi.org/10.1016/j.accre.2024.07.008
- Analysis of Extreme Rainfall and Natural Disasters Events Using Satellite Precipitation Products in Different Regions of Brazil R. Palharini et al. https://doi.org/10.3390/atmos13101680
- Earth's water reservoirs in a changing climate G. Stephens et al. https://doi.org/10.1098/rspa.2019.0458
- Climate-dependent propagation of precipitation uncertainty into the water cycle A. Fallah et al. https://doi.org/10.5194/hess-24-3725-2020
- Discrepancies in changes in precipitation characteristics over the contiguous United States based on six daily gridded precipitation datasets I. Mallakpour et al. https://doi.org/10.1016/j.wace.2022.100433
- Assessment of 21st Century Changing Sea Surface Temperature, Rainfall, and Sea Surface Height Patterns in the Tropical Pacific Islands Using CMIP6 Greenhouse Warming Projections L. Dhage & M. Widlansky https://doi.org/10.1029/2021EF002524
- Intercomparison of bias correction methods for precipitation of multiple GCMs across six continents Y. Song & E. Chung https://doi.org/10.5194/gmd-18-8017-2025
- Observation-constrained projections reveal longer-than-expected dry spells I. Petrova et al. https://doi.org/10.1038/s41586-024-07887-y
- Large global-scale vegetation sensitivity to daily rainfall variability A. Feldman et al. https://doi.org/10.1038/s41586-024-08232-z
- Multifractal detrended fluctuation analysis of hydroclimatic series across Uganda in East Africa M. Opwonya & C. Onyutha https://doi.org/10.1016/j.hydrch.2026.100007
- Changes in Observed Daily Precipitation over Global Land Areas since 1950 S. Contractor et al. https://doi.org/10.1175/JCLI-D-19-0965.1
- Effects of coupling a stochastic convective parameterization with the Zhang–McFarlane scheme on precipitation simulation in the DOE E3SMv1.0 atmosphere model Y. Wang et al. https://doi.org/10.5194/gmd-14-1575-2021
- Constraining the increased frequency of global precipitation extremes under warming C. Thackeray et al. https://doi.org/10.1038/s41558-022-01329-1
- Comparison of high-resolution climate reanalysis datasets for hydro-climatic impact studies R. Wood et al. https://doi.org/10.5194/hess-29-4153-2025
- Evaluating the impact of a time-evolving constellation on multi-platform satellite based daily precipitation estimates R. Oliveira et al. https://doi.org/10.1016/j.atmosres.2022.106414
- 2015/16 El Niño increased water demand and pushed plants from a Mesic tropical montane grassland beyond their hydraulic safety limits I. Matos et al. https://doi.org/10.1111/aec.13343
- GIRAFE v1: a global climate data record for precipitation accompanied by a daily sampling uncertainty H. Konrad et al. https://doi.org/10.5194/essd-17-4097-2025
- Anthropogenic influence on extreme precipitation over global land areas seen in multiple observational datasets G. Madakumbura et al. https://doi.org/10.1038/s41467-021-24262-x
- Inter-product biases in extreme precipitation duration and frequency across China J. Lu et al. https://doi.org/10.1088/1748-9326/ad7f73
- Assessment of the Extreme Precipitation by Satellite Estimates over South America R. Palharini et al. https://doi.org/10.3390/rs12132085
- An integration of gauge, satellite, and reanalysis precipitation datasets for the largest river basin of the Tibetan Plateau Y. Wang et al. https://doi.org/10.5194/essd-12-1789-2020
- Evaluation of gridded precipitation datasets over Madagascar H. Randriatsara et al. https://doi.org/10.1002/joc.7628
- Regionally high risk increase for precipitation extreme events under global warming C. Martinez-Villalobos & J. Neelin https://doi.org/10.1038/s41598-023-32372-3
- The observation range adjusted method: a novel approach to accounting for observation uncertainty in model evaluation J. Evans & H. Imran https://doi.org/10.1088/2515-7620/ad5ad8
- Drought severity across Africa: a comparative analysis of multi-source precipitation datasets K. Lim Kam Sian et al. https://doi.org/10.1007/s11069-024-06604-2
- Future extreme precipitation amplified by intensified mesoscale moisture convergence P. Chang et al. https://doi.org/10.1038/s41561-025-01859-1
- The Climate Hazards Center Infrared Precipitation with Stations, Version 3 C. Funk et al. https://doi.org/10.1038/s41597-026-07096-4
- More intense daily precipitation in CORDEX‐SEA regional climate models than their forcing global climate models over Southeast Asia P. Nguyen et al. https://doi.org/10.1002/joc.7619
- On the Robustness of Annual Daily Precipitation Maxima Estimates Over Monsoon Asia P. Nguyen et al. https://doi.org/10.3389/fclim.2020.578785
- Characteristics of extreme rainfall in different gridded datasets over India during 1983–2015 S. Bhattacharyya et al. https://doi.org/10.1016/j.atmosres.2021.105930
- Evaluation of Satellite Rainfall Products over the Mahaweli River Basin in Sri Lanka H. Perera et al. https://doi.org/10.1155/2022/1926854
- Meteorological Drought Variability over Africa from Multisource Datasets K. Lim Kam Sian et al. https://doi.org/10.3390/atmos14061052
Saved (final revised paper)
Latest update: 21 Aug 2026
Short summary
This paper presents a database that is a collection of datasets of gridded 1° × 1° daily precipitation estimates from a variety of sources. It includes observations from in situ networks, satellite-based estimations and outputs from atmospheric reanalysis. All the datasets have been formatted in the same way to ease their manipulation. This database aims at facilitating intercomparisons and validation exercises performed by the scientific community.
This paper presents a database that is a collection of datasets of gridded 1° × 1° daily...
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