imerg

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

This is a package to access the ClimateSERV API

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

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

initial release of the superBT - V04 - beta version 0.4

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

Code archive for CloudSat-based Antarctic precipitation correction ratios for GPCP, IMERG, and ERA5

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

Prediksi Curah Hujan Jangka Pendek: Two-Stage Hurdle Transfer Learning Framework for Hourly Precipitation Prediction

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

Extreme rainfall monitoring, will it trigger a flood?

Object-based storm detection and tracking over Indonesia