Tools and tutorials for the SALDi Data Cube (SDC).

Creates daily reports from CAMS and WMO/AEMET air quality forecast data for specified geographical areas and points.

Imas2xarray is a python library for reading and writing IMAS data in hdf5 format using xarray

Processing for lee wave MITgcm simulations

Protect the Navigator from changing data formats!

💎 xarray extension for astropy quantities.

geospatial data analysis with geopandas, keplergl, folium, xarray

meteo-spark is an open source project that aims to simplify the Climate Data Analysis using PySpark, which allow the processing of very big files saved in the cloud (S3, GCS, ...) on a large pyspark cluster managed by YARN or Kubernetes.

Visualizing global precipitation patterns (2010–2019) using NASA TRMM data with Python, Cartopy, and Xarray. Includes static maps with geographical features and coordinate grids.

Tool package to download and read Geostationary Operational Environmental Satellite 2nd, 3rd and 4th Generation (GOES-8 to GOES-19) and Gridded Satellite (GridSat-B1 and GridSat-GOES) imagery datasets from NOAA's AWS and NCEI cloud repositories using Python.

Precipitation climatology anomalies of Tanzania, shedding light on drought in the East African country. A jupyter notebook tutorial for geospatial analysis of netcdf data, and precipitation time series.

Grad Course (2021), CE 203 – Surface Water Hydrology

Used Python web mapping libraries along with other data science libraries to compute and visualize spatial data in the web form in a cloud environment.

oddl (OpeNDAP Downloader): a GUI-based Python app for downloading and saving netCDF data via OpeNDAP

PyReshaper-like operations with xarray + Dask

Helpful functions for dealing with xarray and geopandas.

Python tools for CLImate Fingerprinting

Disciplined climate data analysis related to wildfires

Package contains handy and customize tool for downloading data from ERDDAP website with API