imerg

Satellite-based monitoring of dry and wet condition using Standardized Precipitation Index (SPI)

Collection of projects created by me between Dec 25, 2020 to Feb 10, 2021

This is a package to access the ClimateSERV API

ClimateSERV allows development practitioners, scientists/researchers, and government decision-makers to visualize and download historical rainfall data, vegetation condition data, and 180-day forecasts of rainfall and temperature to improve understanding of, and make improved decisions for, issues related to agriculture and water availability.

Climate data, indices and it's application

Satellite-based monitoring of dry and wet condition using Standardized Precipitation Index (SPI)

A python library designed for downloading and managing hydro-meteorological data sourced from satellites and global models.

Half-hourly IMERG rainfall during landslide event

Half-hourly IMERG rainfall during landslide event

The repository contains MATLAB and Python-based code for rainfall erosivity estimation and assessment of multiple datasets, and merging them into a single dataset.

Extreme rainfall monitoring, will it trigger a flood?

Hybrid Bias Correction: Values, Distributions, Extremes - with Neural Refinement

Generalization of advanced deep learning models for precipitation downscaling: An assessment over the Indian subcontinent

initial release of the superBT - V04 - beta version 0.4

Benchmarking H3, A5, geohash, and S2 DGGSes for areal precipitation aggregation over IMERG (Vermont test case)

Extreme rainfall monitoring, will it trigger a flood?

Análise espectral das bandas 8 e 13 do ABI/GOES-19 em sistemas convectivos sobre a bacia do Rio Piracicaba (SP)

Determinación de lluvia en puntos de interés, según el país escogido y en lapso tiempo deseado. Fuente satelital IMERG

Master's thesis (Bogor Agricultural University, 2026) on the hybrid LSEQM+DL bias correction framework for daily satellite precipitation

It's a Nasa space apps challenge 2025 Hackathon Project and we worked with a Problem Statement called "Will It Rain On My Parade?"