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

Cell Boundary-aware Operations with xarray

An awesome CLI tool simplifying NetCDF data extraction of NWC-SAF products and transformation to different file formats!

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

pytest-regressions plugin for xarray

A CLI tool to generate the pair distribution functions from mixtures of phases.

Repository to store all finished code from my research.

We have created a Jupyter Notebook to use with NASA PACE data employing HyperCoast to download the data and then view and process these hyperspectral data using traditional python code. We have also attempted to calculate chlorophyll a too in this notebook that is CoLab ready.

Python module to analyze measurmentdata of the tropopause with respect to the cold point tropopause.

ERA5 Meteorology Explorer System

Full-stack, cross-platform surf forecasting app with live CDIP buoy data & real-time surfer detection via custom Machine Learning & Computer Vision. Built with React, Flask (Python), JavaScript, HTML, CSS, FFmpeg & Roboflow.

Maximize parallel, multi-disk read speed for large Turbulence datasets. Input any Xarray dataset, convert it to Zarr, and distribute it automatically in a load-balanced, map-colored fashion

Introduction to the field of geospatial data science and data analysis.

Processing for lee wave MITgcm simulations

Protect the Navigator from changing data formats!

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

geospatial data analysis with geopandas, keplergl, folium, xarray

💎 xarray extension for astropy quantities.

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.

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.