Articles | Volume 27, issue 19
https://doi.org/10.5194/hess-27-3547-2023
https://doi.org/10.5194/hess-27-3547-2023
Research article
 | 
09 Oct 2023
Research article |  | 09 Oct 2023

Dynamic rainfall erosivity estimates derived from IMERG data

Robert A. Emberson

Viewed

Total article views: 1,800 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,352 378 70 1,800 126 48 53
  • HTML: 1,352
  • PDF: 378
  • XML: 70
  • Total: 1,800
  • Supplement: 126
  • BibTeX: 48
  • EndNote: 53
Views and downloads (calculated since 06 Feb 2023)
Cumulative views and downloads (calculated since 06 Feb 2023)

Viewed (geographical distribution)

Total article views: 1,800 (including HTML, PDF, and XML) Thereof 1,754 with geography defined and 46 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
Soil can be eroded by rainfall, and this is a major threat to agricultural sustainability. Estimating the erosivity of rainfall is essential as a first step to determine how much soil might be lost. Until recently, satellite data have not been used to estimate rainfall erosivity, but the data quality is now sufficient to do so. In this study, I test several methods to calculate rainfall erosivity using satellite rainfall data and contrast this with ground-based estimates.