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
23 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. 10.3390/rs15225267
- Global rainfall erosivity database (GloREDa) and monthly R-factor data at 1 km spatial resolution P. Panagos et al. 10.1016/j.dib.2023.109482
- Improving satellite-based global rainfall erosivity estimates through merging with gauge data A. Fenta et al. 10.1016/j.jhydrol.2023.129555
- An integrated modeling approach for estimating monthly global rainfall erosivity A. Fenta et al. 10.1038/s41598-024-59019-1
- Comparison of rainfall generators with regionalisation for the estimation of rainfall erosivity at ungauged sites R. Pidoto et al. 10.5194/esurf-10-851-2022
- A field parcel-oriented approach to evaluate the crop cover-management factor and time-distributed erosion risk in Europe F. Matthews et al. 10.1016/j.iswcr.2022.09.005
- Deciphering the impact of wind erosion on ecosystem services: An integrated framework for assessment and spatiotemporal analysis in arid regions S. Song et al. 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. 10.1016/j.jhydrol.2023.129892
- Characteristics and Projection of Rainfall Erosivity Distribution in the Hengduan Mountains X. Liang et al. 10.3390/land12071435
- 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. 10.3390/rs15071775
- Rainfall erosivity index for monitoring global soil erosion L. Wang et al. 10.1016/j.catena.2023.107593
- Evaluation and Applicability Analysis of GPM Satellite Precipitation over Mainland China X. Pan et al. 10.3390/rs15112866
- SMPD: a soil moisture-based precipitation downscaling method for high-resolution daily satellite precipitation estimation K. He et al. 10.5194/hess-27-169-2023
- Evaluation of GPM IMERG-FR Product for Computing Rainfall Erosivity for Mainland China W. Wang et al. 10.3390/rs16071186
- 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. 10.1016/j.earscirev.2023.104339
- Global rainfall erosivity projections for 2050 and 2070 P. Panagos et al. 10.1016/j.jhydrol.2022.127865
- Evaluation of Rainfall Erosivity in the Western Balkans by Mapping and Clustering ERA5 Reanalysis Data T. Micić Ponjiger et al. 10.3390/atmos14010104
- Unravelling the future changes in rainfall erosivity over India under shared socio-economic pathways S. Das & M. Jain 10.1016/j.catena.2023.107417
- The most extreme rainfall erosivity event ever recorded in China up to 2022: the 7.20 storm in Henan Province Y. Xiao et al. 10.5194/hess-27-4563-2023
- A multiple-step scheme for the improvement of satellite precipitation products over the Tibetan Plateau from multisource information K. He et al. 10.1016/j.scitotenv.2023.162378
- Rainfall Erosivity in Peru: A New Gridded Dataset Based on GPM-IMERG and Comprehensive Assessment (2000–2020) L. Gutierrez et al. 10.3390/rs15225432
- Dynamic rainfall erosivity estimates derived from IMERG data R. Emberson 10.5194/hess-27-3547-2023
- Assessment of Water-Induced Soil Erosion as a Threat to Natura 2000 Protected Areas in Crete Island, Greece S. Stefanidis et al. 10.3390/su14052738
22 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. 10.3390/rs15225267
- Global rainfall erosivity database (GloREDa) and monthly R-factor data at 1 km spatial resolution P. Panagos et al. 10.1016/j.dib.2023.109482
- Improving satellite-based global rainfall erosivity estimates through merging with gauge data A. Fenta et al. 10.1016/j.jhydrol.2023.129555
- An integrated modeling approach for estimating monthly global rainfall erosivity A. Fenta et al. 10.1038/s41598-024-59019-1
- Comparison of rainfall generators with regionalisation for the estimation of rainfall erosivity at ungauged sites R. Pidoto et al. 10.5194/esurf-10-851-2022
- A field parcel-oriented approach to evaluate the crop cover-management factor and time-distributed erosion risk in Europe F. Matthews et al. 10.1016/j.iswcr.2022.09.005
- Deciphering the impact of wind erosion on ecosystem services: An integrated framework for assessment and spatiotemporal analysis in arid regions S. Song et al. 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. 10.1016/j.jhydrol.2023.129892
- Characteristics and Projection of Rainfall Erosivity Distribution in the Hengduan Mountains X. Liang et al. 10.3390/land12071435
- 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. 10.3390/rs15071775
- Rainfall erosivity index for monitoring global soil erosion L. Wang et al. 10.1016/j.catena.2023.107593
- Evaluation and Applicability Analysis of GPM Satellite Precipitation over Mainland China X. Pan et al. 10.3390/rs15112866
- SMPD: a soil moisture-based precipitation downscaling method for high-resolution daily satellite precipitation estimation K. He et al. 10.5194/hess-27-169-2023
- Evaluation of GPM IMERG-FR Product for Computing Rainfall Erosivity for Mainland China W. Wang et al. 10.3390/rs16071186
- 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. 10.1016/j.earscirev.2023.104339
- Global rainfall erosivity projections for 2050 and 2070 P. Panagos et al. 10.1016/j.jhydrol.2022.127865
- Evaluation of Rainfall Erosivity in the Western Balkans by Mapping and Clustering ERA5 Reanalysis Data T. Micić Ponjiger et al. 10.3390/atmos14010104
- Unravelling the future changes in rainfall erosivity over India under shared socio-economic pathways S. Das & M. Jain 10.1016/j.catena.2023.107417
- The most extreme rainfall erosivity event ever recorded in China up to 2022: the 7.20 storm in Henan Province Y. Xiao et al. 10.5194/hess-27-4563-2023
- A multiple-step scheme for the improvement of satellite precipitation products over the Tibetan Plateau from multisource information K. He et al. 10.1016/j.scitotenv.2023.162378
- Rainfall Erosivity in Peru: A New Gridded Dataset Based on GPM-IMERG and Comprehensive Assessment (2000–2020) L. Gutierrez et al. 10.3390/rs15225432
- Dynamic rainfall erosivity estimates derived from IMERG data R. Emberson 10.5194/hess-27-3547-2023
1 citations as recorded by crossref.
Latest update: 25 Apr 2024
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...
