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InRESatE: Indian Regional Satellite based Erosivity Estimates

<p>The R-factor serves as a climatological index, reflecting the intensity and kinetic energy of rainfall and playing a pivotal role in evaluating the impacts of sheet and rill erosion.</p> <p>The InRESatE dataset introduces rainfall erosivity data, estimated from high-resolution IMERG Final Run 30-minute precipitation records spanning 2001 to 2018. Additionally, the dataset includes erosivity density values and calibrated parameters for a daily rainfall erosivity model tailored to the study area.</p> <p>Our analysis reveals an annual rainfall erosivity range of 77 to 20,662 MJ mm ha&minus;1h&minus;1 yr&minus;1, with the summer monsoons accounting for approximately 85% of this yearly erosivity. While our erosivity map closely aligns with previous versions of rainfall erosivity datasets based on sparse gauge data, it registers marginally lower values in regions experiencing extreme rainfall. Erosivity density maps highlight erosion and landslide-prone zones, particularly in India's Northeast and Western Ghats regions, attributed to intense summer monsoon rainfall.</p> <p>&nbsp;</p> <p>Article Citation:</p> <p>Das, Subhankar, Manoj Kumar Jain, and Vivek Gupta. "A step towards mapping rainfall erosivity for India using high-resolution GPM satellite rainfall products." Catena 212 (2022): 106067. https://doi.org/10.1016/j.catena.2022.106067</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

Dataset details

Repository
zenodo
Published
April 24, 2024
License
cc-by-4.0
DOI
10.5281/zenodo.11064153

Scored with release 0.9.0

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