passive-microwave

A python package to download and analyze the Global Precipitation Measurement Mission (GPM) data archive

Butterfly NASA EVM3 proposal

NSIDC Polar Stereographic Projection

Sea Ice Concentration 25km Enhanced CDR

Machine learning framework for estimating global Surface Water Fraction (SWF) from passive microwave brightness temperatures (WindSat/CIMR). Covers end-to-end data preprocessing, EDA, and a full regression pipeline including model selection, feature engineering, HPO, SHAP explainability, and error analysis.

Machine learning framework for estimating global Surface Water Fraction (SWF) from passive microwave brightness temperatures (WindSat/CIMR). Covers end-to-end data preprocessing, EDA, and a full regression pipeline including model selection, feature engineering, HPO, SHAP explainability, and error analysis.

Python library providing an API for accessing passive microwave data in a consistent manner.