Integrating satellite observations for annual rainfall frequency analysis in Kalar district
A Kalar district case study combined NASA/POWER data with 34 years of ground observations and estimated 100-year annual rainfall at ...
A Kalar district case study combined NASA/POWER data with 34 years of ground observations and estimated 100-year annual rainfall at ...
A new study tested five satellite and reanalysis rainfall products against 23 Egyptian rain gauges and used deep neural networks ...
A new PLOS Water study finds that machine learning bias correction can transform flawed satellite rainfall and modelled river discharge ...
A two-year validation study in Trinidad's Northern Range shows that the IMERG satellite product detects far more rainfall events and ...
Researchers have developed a hybrid CNN-XGBoost machine learning framework that sharply improves satellite rainfall estimates over the data-sparse interior of ...
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© 2025 Scienmag - Science Magazine