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Uncertainty Reduction in Near Real-time Satellite Precipitation Estimates by Integrating Soil Moisture and Potential Evapotranspiration Using a Machine Learning Approach

Crossref DOI link: https://doi.org/10.1007/s11269-026-04568-5

Published Online: 2026-03-13

Published Print: 2026-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wanniarachchi, Susantha https://orcid.org/0000-0002-0620-7681
Sarukkalige, Ranjan https://orcid.org/0000-0002-2916-1057
Hapuarachchi, H. A. Prasantha https://orcid.org/0000-0002-9298-0522
Gomes, Pattiyage I.A. https://orcid.org/0000-0002-0941-6112
Rathnayake, Upaka https://orcid.org/0000-0002-7341-9078
Funding

Funding for this research was provided by:

Curtin University
License Information

Text and Data Mining valid from 2026-03-01

Version of Record valid from 2026-03-13
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Article History

Received: 5 August 2025

Accepted: 3 March 2026

First Online: 13 March 2026

Declarations

:

: The authors have no relevant financial or non-financial interests to disclose.

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