pytest-regressions plugin for xarray

Advanced Raster Data Science

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

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

A BioIO reader plugin for reading 3i slidebook (SLDY) images

Repository to store all finished code from my research.

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

A BioIO reader plugin for reading ND2 images.

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

ERA5 Meteorology Explorer System

Protect the Navigator from changing data formats!

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.

Tipo: Machine Learning. Tecnologias: Pandas, Keras, Xarray.

Data conversion (from NetCDF to CSV)

Plotting netCDF ocean current data using python

The Copernicus Data Store (CDS) is a one stop shop for a wide range of historical and real time geospatial data from various remote sensing and on-the-ground weather observations. The following notebook is an approach to design a neural network to predict the [Total Precipitation] from the two input variables [Temperature of air at 2m above the …

Global Volumetric Soil Moisture Analysis