preritaagarwal
PhD Candidate at the University of Edinburgh. Interested in Atmospheric Chemistry Modelling and Air Quality Assessment.
University of EdinburghUnited Kingdom
Pinned Repositories
cartopy
Cartopy - a cartographic python library with matplotlib support
coding-interview-university
A complete computer science study plan to become a software engineer.
Downloading-atmospheric-sounding-data-from-UYOW
download bulk upper air sounding data from from the University of Wyoming, College of Engineering, Department of Atmospheric Science's website.
Downloading-OpenAQ-data-from-AWS
How_to_download_ERA5_data
iris
A powerful, format-agnostic, and community-driven Python library for analysing and visualising Earth science data
MetPy
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
Misc-Python-codes
tutos
wrf_python_tutorial
Student Workbook Repository for the wrf-python Tutorial
preritaagarwal's Repositories
preritaagarwal/Downloading-atmospheric-sounding-data-from-UYOW
download bulk upper air sounding data from from the University of Wyoming, College of Engineering, Department of Atmospheric Science's website.
preritaagarwal/wrf_python_tutorial
Student Workbook Repository for the wrf-python Tutorial
preritaagarwal/cartopy
Cartopy - a cartographic python library with matplotlib support
preritaagarwal/coding-interview-university
A complete computer science study plan to become a software engineer.
preritaagarwal/Downloading-OpenAQ-data-from-AWS
preritaagarwal/How_to_download_ERA5_data
preritaagarwal/iris
A powerful, format-agnostic, and community-driven Python library for analysing and visualising Earth science data
preritaagarwal/MetPy
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
preritaagarwal/Misc-Python-codes
preritaagarwal/tutos
preritaagarwal/WRF
WRF_Backup_Save
preritaagarwal/WRF-1
The official repository for the Weather Research and Forecasting (WRF) model
preritaagarwal/WRF-Chem_Post-Processing
Post-Processing Utilities using Python