The spatiotemporal variations of global rainfall erosivity and erosive rainfall event based on half-hourly satellite rainfall data

• Southern Hemisphere dominated the decline in global rainfall erosivity during 2001–2020. • The number of erosive rainfall events exhibited an upward trend during 2001–2020. • The 20-year global average rainfall erosivity was 2,538.6 MJ mm ha -1 h −1 yr −1 . • The 20-year global average number of erosive rainfall events was 67 events per annum. • A bias-corrected database contains global rainfall erosivity and number of erosive rainfall events was developed. At present, station observation data are widely utilized for rainfall erosivity estimation while the spatiotemporal coverage of the data is limited. High-resolution satellite precipitation data offer the possibility of estimating rainfall erosivity with global coverage in a real time manner. A few studies have attempted to use satellite precipitation to derive rainfall erosivity and found that satellite data systematically underestimate rainfall erosivity compared to station observations. Thus, a Global Erosive Rainfall Database (GERD) was constructed using half-hourly satellite rainfall data from 2001 to 2020. Rainfall erosivity was calculated using the rainfall erosivity estimation method in RUSLE2 and bias corrected by a station-based annual average rainfall erosivity map. Then, the spatiotemporal variations of global rainfall erosivity and erosive rainfall event are revealed. The results showed that: (Ⅰ) The 20-year average rainfall erosivity was 2,538.6 MJ mm ha -1 h −1 yr −1 . The 20-year average number of erosive rainfall events was 67 events per annum. (Ⅱ) There has been a discernible downward trend in the global rainfall erosivity anomaly from 2001 to 2020, with an average change rate of –22.09 MJ mm ha -1 h −1 yr −2 , particularly pronounced in the Southern Hemisphere, where the decline rate reached −68.21 MJ mm ha -1 h −1 yr −2 . In contrast, the number of erosive rainfall events has exhibited an upward trend during the same period. (III) Seasonal rainfall erosivity and number of erosive rainfall events during the period of June to August were obviously different from other seasons. On 34.1 % and 24.6 % of the global area, rainfall erosivity and number of erosive rainfall events in this period constituted more than half of the whole year.

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Publication Details

Journal
CATENA
Published
2025-02-20
DOI
https://doi.org/10.1016/j.catena.2025.108831
Citations
6
Primary Topic
Soil erosion and sediment transport
Type
article
Field-Weighted Citation Impact
7.12

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article

The spatiotemporal variations of global rainfall erosivity and erosive rainfall event based on half-hourly satellite rainfall data

Qianxi Yang, Qiuhong Tang, Guoqiang Jia, Ximeng Xu
6 citations
CATENA
Soil erosion and sediment transport
7.12
article

The spatiotemporal variations of global rainfall erosivity and erosive rainfall event based on half-hourly satellite rainfall data

Qianxi Yang, Qiuhong Tang, Guoqiang Jia, Ximeng Xu
article en
6 citations

Abstract

• Southern Hemisphere dominated the decline in global rainfall erosivity during 2001–2020. • The number of erosive rainfall events exhibited an upward trend during 2001–2020. • The 20-year global average rainfall erosivity was 2,538.6 MJ mm ha -1 h −1 yr −1 . • The 20-year global average number of erosive rainfall events was 67 events per annum. • A bias-corrected database contains global rainfall erosivity and number of erosive rainfall events was developed. At present, station observation data are widely utilized for rainfall erosivity estimation while the spatiotemporal coverage of the data is limited. High-resolution satellite precipitation data offer the possibility of estimating rainfall erosivity with global coverage in a real time manner. A few studies have attempted to use satellite precipitation to derive rainfall erosivity and found that satellite data systematically underestimate rainfall erosivity compared to station observations. Thus, a Global Erosive Rainfall Database (GERD) was constructed using half-hourly satellite rainfall data from 2001 to 2020. Rainfall erosivity was calculated using the rainfall erosivity estimation method in RUSLE2 and bias corrected by a station-based annual average rainfall erosivity map. Then, the spatiotemporal variations of global rainfall erosivity and erosive rainfall event are revealed. The results showed that: (Ⅰ) The 20-year average rainfall erosivity was 2,538.6 MJ mm ha -1 h −1 yr −1 . The 20-year average number of erosive rainfall events was 67 events per annum. (Ⅱ) There has been a discernible downward trend in the global rainfall erosivity anomaly from 2001 to 2020, with an average change rate of –22.09 MJ mm ha -1 h −1 yr −2 , particularly pronounced in the Southern Hemisphere, where the decline rate reached −68.21 MJ mm ha -1 h −1 yr −2 . In contrast, the number of erosive rainfall events has exhibited an upward trend during the same period. (III) Seasonal rainfall erosivity and number of erosive rainfall events during the period of June to August were obviously different from other seasons. On 34.1 % and 24.6 % of the global area, rainfall erosivity and number of erosive rainfall events in this period constituted more than half of the whole year.

CATENAVol. 252
Chinese Academy of Sciences (CN), Beijing Institute of Big Data Research (CN), Aerospace Information Research Institute (CN), Institute of Geographic Sciences and Natural Resources Research (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 4%
Soil erosion and sediment transport
7.12
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