paper
2021
Extremes & hazards
Observations & remote sensing New model or method
Classical ML (trees, GP, linear, kernels)Seasonal to annual Journal
2021-03-17
012
Mar 2021
Venkatesh Kolluru, Srinivas Kolluru
International Journal of Climatology
Tests 13 machine learning algorithms with pre- and post-integration of satellite precipitation products for drought indices over India; Bayesian-regularized neural networks perform best.
Development and evaluation of pre and post integration techniques for enhancing drought predictions over India
In one sentence. Tests 13 machine learning algorithms with pre- and post-integration of satellite precipitation products for drought indices over India; Bayesian-regularized neural networks perform best.
Labels
- Topic
- Extremes & hazards, Observations & remote sensing
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Seasonal to annual
- Domain
- Regional
- Data
- Satellite, ERA5 / reanalysis, Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1002/joc.7100 OpenAlex:W3138624676
- Added
- 2026-10-22
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