Articles | Volume 26, issue 7
https://doi.org/10.5194/hess-26-1907-2022
© Author(s) 2022. 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-26-1907-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Apr 2022
Research article |
| 14 Apr 2022
| 14 Apr 2022
Exploring the possible role of satellite-based rainfall data in estimating inter- and intra-annual global rainfall erosivity
University of Ljubljana, Faculty of Civil and Geodetic Engineering, Ljubljana, Slovenia
Pasquale Borrelli
Department of Earth and Environmental Sciences, University of Pavia, Pavia, Italy
Department of Biological Environment, Kangwon National University,
Chuncheon 24341, Republic of Korea
Panos Panagos
European Commission, Joint Research Centre (JRC), Ispra, Italy
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Cited
44 citations as recorded by crossref.
- Rainfall Erosivity Mapping for Tibetan Plateau Using High-Resolution Temporal and Spatial Precipitation Datasets for the Third Pole B. Yin et al. https://doi.org/10.3390/rs15225267
- Improving satellite-based global rainfall erosivity estimates through merging with gauge data A. Fenta et al. https://doi.org/10.1016/j.jhydrol.2023.129555
- An integrated modeling approach for estimating monthly global rainfall erosivity A. Fenta et al. https://doi.org/10.1038/s41598-024-59019-1
- Dynamic evolution of rainfall erosivity in different rocky desertification areas and analysis of multidimensional driving factors Y. Zhao et al. https://doi.org/10.1016/j.ejrh.2025.102492
- Assessment of Different Satellite-Based Precipitation Products Over Southwestern Haiti M. Clerge Pierre & S. Taner https://doi.org/10.18475/cjos.v55i2.a12
- Development of erosion susceptibility index for identifying critical areas and optimizing watershed treatment in the Nilgiris, India D. Singh et al. https://doi.org/10.3389/fsufs.2026.1783575
- A field parcel-oriented approach to evaluate the crop cover-management factor and time-distributed erosion risk in Europe F. Matthews et al. https://doi.org/10.1016/j.iswcr.2022.09.005
- Characteristics and Projection of Rainfall Erosivity Distribution in the Hengduan Mountains X. Liang et al. https://doi.org/10.3390/land12071435
- Spatiotemporal Correlations and Drivers of Ecosystem Services and Functional Dynamics in Arid Regions S. Song & X. Chen https://doi.org/10.34133/ehs.0522
- Rainfall erosivity index for monitoring global soil erosion L. Wang et al. https://doi.org/10.1016/j.catena.2023.107593
- A Global Review of Rainfall Erosivity Estimation: Methods, Challenges, and Way Forward M. Kumar et al. https://doi.org/10.1007/s41748-025-01006-1
- Evaluation and Applicability Analysis of GPM Satellite Precipitation over Mainland China X. Pan et al. https://doi.org/10.3390/rs15112866
- Evaluation of GPM IMERG-FR Product for Computing Rainfall Erosivity for Mainland China W. Wang et al. https://doi.org/10.3390/rs16071186
- The spatiotemporal variations of global rainfall erosivity and erosive rainfall event based on half-hourly satellite rainfall data Q. Yang et al. https://doi.org/10.1016/j.catena.2025.108831
- A systematic review of the incorrect use of an empirical equation for the estimation of the rainfall erosivity around the globe W. Chen et al. https://doi.org/10.1016/j.earscirev.2023.104339
- Global rainfall erosivity projections for 2050 and 2070 P. Panagos et al. https://doi.org/10.1016/j.jhydrol.2022.127865
- Unravelling the future changes in rainfall erosivity over India under shared socio-economic pathways S. Das & M. Jain https://doi.org/10.1016/j.catena.2023.107417
- The visible and hidden climatic effects on Earth's denudation I. Vergara et al. https://doi.org/10.1016/j.catena.2026.110226
- Dynamic assessment of rainfall erosivity in Europe: evaluation of EURADCLIM ground-radar data F. Matthews et al. https://doi.org/10.5194/hess-29-5299-2025
- Testing a low-complexity spatially distributed model to simulate the intra-annual dynamics of soil erosion and sediment delivery F. Matthews et al. https://doi.org/10.1016/j.catena.2025.109054
- Rainfall Erosivity in Peru: A New Gridded Dataset Based on GPM-IMERG and Comprehensive Assessment (2000–2020) L. Gutierrez et al. https://doi.org/10.3390/rs15225432
- Dynamic rainfall erosivity estimates derived from IMERG data R. Emberson https://doi.org/10.5194/hess-27-3547-2023
- Hydrologic applicability of satellite-based precipitation estimates for irrigation water management in the data-scarce region S. Bista et al. https://doi.org/10.1016/j.jhydrol.2024.131310
- Towards the development of bias-corrected rainfall erosivity time series for Europe F. Matthews et al. https://doi.org/10.1016/j.jhydrol.2024.132460
- Climate driven generative time-varying model for improved decadal storm power predictions in the Mediterranean N. Diodato et al. https://doi.org/10.1038/s43247-025-02196-2
- Global rainfall erosivity database (GloREDa) and monthly R-factor data at 1 km spatial resolution P. Panagos et al. https://doi.org/10.1016/j.dib.2023.109482
- Multi-scale accuracy assessment of meteorological satellite precipitation products in the dry-hot valley of Jinsha River J. Feng et al. https://doi.org/10.1016/j.ejrh.2025.102535
- Comparison of rainfall generators with regionalisation for the estimation of rainfall erosivity at ungauged sites R. Pidoto et al. https://doi.org/10.5194/esurf-10-851-2022
- Deciphering the impact of wind erosion on ecosystem services: An integrated framework for assessment and spatiotemporal analysis in arid regions S. Song et al. https://doi.org/10.1016/j.ecolind.2023.110693
- Estimation of rainfall erosivity on the Chinese Loess Plateau: A new combination of the ERA5 dataset and machine learning W. Dai et al. https://doi.org/10.1016/j.jhydrol.2023.129892
- Incorporating return period in the assessment of rainfall erosivity of India using high temporal resolution satellite precipitation product T. Das & A. Sarma https://doi.org/10.1007/s12040-024-02452-7
- Reliability of satellite precipitation observations in characterizing the spatiotemporal variations of rainfall erosivity over China Q. Liu et al. https://doi.org/10.1080/01431161.2025.2572044
- Identifying monthly rainfall erosivity patterns using hourly rainfall data across India S. Das et al. https://doi.org/10.1038/s41598-025-11992-x
- Long-term spatiotemporal dynamics of global monthly rainfall erosivity derived from daily precipitation data and machine learning (1981-2020) B. Chen et al. https://doi.org/10.1016/j.iswcr.2026.100679
- Quantifying the Effects of Climate Change and Revegetation on Erosion-Induced Lateral Soil Organic Carbon Loss on the Chinese Loess Plateau J. Han et al. https://doi.org/10.3390/rs15071775
- Exploring the Added Value of Sub-Daily Bias Correction of High-Resolution Gridded Rainfall Datasets for Rainfall Erosivity Estimation R. Yonaba et al. https://doi.org/10.3390/hydrology11090132
- SMPD: a soil moisture-based precipitation downscaling method for high-resolution daily satellite precipitation estimation K. He et al. https://doi.org/10.5194/hess-27-169-2023
- Water soil erosion under climate and land use change: current status and forecast V. Golosov https://doi.org/10.71367/3034-4638-2024-1-1-19-34
- CHIRPS contribution data in studying rainfall erosion in Oued Kert Watershed (Eastern Rif, Morocco) M. Laaboudi et al. https://doi.org/10.1007/s00704-024-05325-7
- Evaluation of Rainfall Erosivity in the Western Balkans by Mapping and Clustering ERA5 Reanalysis Data T. Micić Ponjiger et al. https://doi.org/10.3390/atmos14010104
- The most extreme rainfall erosivity event ever recorded in China up to 2022: the 7.20 storm in Henan Province Y. Xiao et al. https://doi.org/10.5194/hess-27-4563-2023
- GloRESatE: A dataset for global rainfall erosivity derived from multi-source data S. Das et al. https://doi.org/10.1038/s41597-024-03756-5
- A multiple-step scheme for the improvement of satellite precipitation products over the Tibetan Plateau from multisource information K. He et al. https://doi.org/10.1016/j.scitotenv.2023.162378
- Comparative analysis of rainfall event characteristics and rainfall erosivity between two experimental plots in Austria and Slovenia B. Szeles et al. https://doi.org/10.1016/j.ejrh.2025.102353
44 citations as recorded by crossref.
- Rainfall Erosivity Mapping for Tibetan Plateau Using High-Resolution Temporal and Spatial Precipitation Datasets for the Third Pole B. Yin et al. https://doi.org/10.3390/rs15225267
- Improving satellite-based global rainfall erosivity estimates through merging with gauge data A. Fenta et al. https://doi.org/10.1016/j.jhydrol.2023.129555
- An integrated modeling approach for estimating monthly global rainfall erosivity A. Fenta et al. https://doi.org/10.1038/s41598-024-59019-1
- Dynamic evolution of rainfall erosivity in different rocky desertification areas and analysis of multidimensional driving factors Y. Zhao et al. https://doi.org/10.1016/j.ejrh.2025.102492
- Assessment of Different Satellite-Based Precipitation Products Over Southwestern Haiti M. Clerge Pierre & S. Taner https://doi.org/10.18475/cjos.v55i2.a12
- Development of erosion susceptibility index for identifying critical areas and optimizing watershed treatment in the Nilgiris, India D. Singh et al. https://doi.org/10.3389/fsufs.2026.1783575
- A field parcel-oriented approach to evaluate the crop cover-management factor and time-distributed erosion risk in Europe F. Matthews et al. https://doi.org/10.1016/j.iswcr.2022.09.005
- Characteristics and Projection of Rainfall Erosivity Distribution in the Hengduan Mountains X. Liang et al. https://doi.org/10.3390/land12071435
- Spatiotemporal Correlations and Drivers of Ecosystem Services and Functional Dynamics in Arid Regions S. Song & X. Chen https://doi.org/10.34133/ehs.0522
- Rainfall erosivity index for monitoring global soil erosion L. Wang et al. https://doi.org/10.1016/j.catena.2023.107593
- A Global Review of Rainfall Erosivity Estimation: Methods, Challenges, and Way Forward M. Kumar et al. https://doi.org/10.1007/s41748-025-01006-1
- Evaluation and Applicability Analysis of GPM Satellite Precipitation over Mainland China X. Pan et al. https://doi.org/10.3390/rs15112866
- Evaluation of GPM IMERG-FR Product for Computing Rainfall Erosivity for Mainland China W. Wang et al. https://doi.org/10.3390/rs16071186
- The spatiotemporal variations of global rainfall erosivity and erosive rainfall event based on half-hourly satellite rainfall data Q. Yang et al. https://doi.org/10.1016/j.catena.2025.108831
- A systematic review of the incorrect use of an empirical equation for the estimation of the rainfall erosivity around the globe W. Chen et al. https://doi.org/10.1016/j.earscirev.2023.104339
- Global rainfall erosivity projections for 2050 and 2070 P. Panagos et al. https://doi.org/10.1016/j.jhydrol.2022.127865
- Unravelling the future changes in rainfall erosivity over India under shared socio-economic pathways S. Das & M. Jain https://doi.org/10.1016/j.catena.2023.107417
- The visible and hidden climatic effects on Earth's denudation I. Vergara et al. https://doi.org/10.1016/j.catena.2026.110226
- Dynamic assessment of rainfall erosivity in Europe: evaluation of EURADCLIM ground-radar data F. Matthews et al. https://doi.org/10.5194/hess-29-5299-2025
- Testing a low-complexity spatially distributed model to simulate the intra-annual dynamics of soil erosion and sediment delivery F. Matthews et al. https://doi.org/10.1016/j.catena.2025.109054
- Rainfall Erosivity in Peru: A New Gridded Dataset Based on GPM-IMERG and Comprehensive Assessment (2000–2020) L. Gutierrez et al. https://doi.org/10.3390/rs15225432
- Dynamic rainfall erosivity estimates derived from IMERG data R. Emberson https://doi.org/10.5194/hess-27-3547-2023
- Hydrologic applicability of satellite-based precipitation estimates for irrigation water management in the data-scarce region S. Bista et al. https://doi.org/10.1016/j.jhydrol.2024.131310
- Towards the development of bias-corrected rainfall erosivity time series for Europe F. Matthews et al. https://doi.org/10.1016/j.jhydrol.2024.132460
- Climate driven generative time-varying model for improved decadal storm power predictions in the Mediterranean N. Diodato et al. https://doi.org/10.1038/s43247-025-02196-2
- Global rainfall erosivity database (GloREDa) and monthly R-factor data at 1 km spatial resolution P. Panagos et al. https://doi.org/10.1016/j.dib.2023.109482
- Multi-scale accuracy assessment of meteorological satellite precipitation products in the dry-hot valley of Jinsha River J. Feng et al. https://doi.org/10.1016/j.ejrh.2025.102535
- Comparison of rainfall generators with regionalisation for the estimation of rainfall erosivity at ungauged sites R. Pidoto et al. https://doi.org/10.5194/esurf-10-851-2022
- Deciphering the impact of wind erosion on ecosystem services: An integrated framework for assessment and spatiotemporal analysis in arid regions S. Song et al. https://doi.org/10.1016/j.ecolind.2023.110693
- Estimation of rainfall erosivity on the Chinese Loess Plateau: A new combination of the ERA5 dataset and machine learning W. Dai et al. https://doi.org/10.1016/j.jhydrol.2023.129892
- Incorporating return period in the assessment of rainfall erosivity of India using high temporal resolution satellite precipitation product T. Das & A. Sarma https://doi.org/10.1007/s12040-024-02452-7
- Reliability of satellite precipitation observations in characterizing the spatiotemporal variations of rainfall erosivity over China Q. Liu et al. https://doi.org/10.1080/01431161.2025.2572044
- Identifying monthly rainfall erosivity patterns using hourly rainfall data across India S. Das et al. https://doi.org/10.1038/s41598-025-11992-x
- Long-term spatiotemporal dynamics of global monthly rainfall erosivity derived from daily precipitation data and machine learning (1981-2020) B. Chen et al. https://doi.org/10.1016/j.iswcr.2026.100679
- Quantifying the Effects of Climate Change and Revegetation on Erosion-Induced Lateral Soil Organic Carbon Loss on the Chinese Loess Plateau J. Han et al. https://doi.org/10.3390/rs15071775
- Exploring the Added Value of Sub-Daily Bias Correction of High-Resolution Gridded Rainfall Datasets for Rainfall Erosivity Estimation R. Yonaba et al. https://doi.org/10.3390/hydrology11090132
- SMPD: a soil moisture-based precipitation downscaling method for high-resolution daily satellite precipitation estimation K. He et al. https://doi.org/10.5194/hess-27-169-2023
- Water soil erosion under climate and land use change: current status and forecast V. Golosov https://doi.org/10.71367/3034-4638-2024-1-1-19-34
- CHIRPS contribution data in studying rainfall erosion in Oued Kert Watershed (Eastern Rif, Morocco) M. Laaboudi et al. https://doi.org/10.1007/s00704-024-05325-7
- Evaluation of Rainfall Erosivity in the Western Balkans by Mapping and Clustering ERA5 Reanalysis Data T. Micić Ponjiger et al. https://doi.org/10.3390/atmos14010104
- The most extreme rainfall erosivity event ever recorded in China up to 2022: the 7.20 storm in Henan Province Y. Xiao et al. https://doi.org/10.5194/hess-27-4563-2023
- GloRESatE: A dataset for global rainfall erosivity derived from multi-source data S. Das et al. https://doi.org/10.1038/s41597-024-03756-5
- A multiple-step scheme for the improvement of satellite precipitation products over the Tibetan Plateau from multisource information K. He et al. https://doi.org/10.1016/j.scitotenv.2023.162378
- Comparative analysis of rainfall event characteristics and rainfall erosivity between two experimental plots in Austria and Slovenia B. Szeles et al. https://doi.org/10.1016/j.ejrh.2025.102353
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
Rainfall erosivity is one of the main factors in soil erosion. A satellite-based global map of rainfall erosivity was constructed using data with a 30 min time interval. It was shown that the satellite-based precipitation products are an interesting option for estimating rainfall erosivity, especially in regions with limited ground data. However, ground-based high-frequency precipitation measurements are (still) essential for accurate estimates of rainfall erosivity.
Rainfall erosivity is one of the main factors in soil erosion. A satellite-based global map of...
