Mukesh Rai's Projects
Repository for Jupyter Notebook examples associated with the NASA ARSET Training, "Fundamentals of Machine Learning for Earth Science"
This repository hosts Jupyter notebook data tutorials for the Copernicus Climate Change (C3S) and Atmosphere Monitoring (CAMS) Services.
My personal blog
This python module helps to process and calculate the integrated aerosol transport
A Python package of algorithms and metrics used to characterise and/or identify jet streams, based on xarray.
This repo includes all the scripts that I used for producing the figures for my JGR-Atmosphere paper
Includes other scripts that used in my papers
material for the CSU-led machine learning tutorial for earth science research
This repo contains the all the data and codes used in my ACP manuscript
Mukesh personal site
This repo intends to provide a combination of snippet-based tutorials referencing open-source utilities as well as full functioning Jupyter notebooks.
Specialized visualization tools for the Weather Research and Forecasting (WRF) model outputs
A python package for HYSPLIT for generating and plotting trajectories
This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts
Python scripts to download and preprocess air pollution concentration level data aquired from the Sentinel-5P mission
This repository contains python scripts for downloading and post processing of satellite and reanalysis dataset including CAMS, ERA5, CRU, TRMM, VIIRS
This repo contains scripts that produce all the figures in TGAR ACP paper
Python scripts for post-processing WRF-Chem model output