Contributors: Raphael Hagen

Name: Raphael Hagen
Login: norlandrhagen
Email: [email protected]
Description: Data Engineer
Location: Seattle
Company: @carbonplan
Repositories count: 6
Last synced at: 2023-04-18T23:28:35.116Z
OST Projects: 7
Languages: Python, Rust, Jupyter Notebook, JavaScript
Categories: Climate Change, Emissions
Sub Categories: Carbon Offsets and Trading, Climate Data Standards, Climate Downscaling, Emission Observation and Modeling
Topics: climate, downscaling, keras, xarray-accessor, pangeo, data-engineering, etl, zarr

Contributed Projects

kerchunk

A library that provides a unified way to represent a variety of chunked, compressed data formats (e.g. NetCDF, HDF5, GRIB), allowing efficient access to the data from traditional file systems or cloud object storage.

hacktoberfest python

Climate Change - Climate Data Standards - Last synced: 28 Jun 2025 - Ranking: 21.2

icechunk

An open-source transactional storage engine for tensor / ND-array data designed for use on cloud object storage.

cloud database xarray zarr

Climate Change - Climate Data Standards - Last synced: 28 Jun 2025 - Ranking: 20.4

cmip6-downscaling

Climate downscaling using CMIP6 data.

Climate Change - Climate Downscaling - Last synced: 27 Jun 2025 - Ranking: 12.2

forest-risks

Statistical models of forest carbon potential and risks.

Emissions - Carbon Offsets and Trading - Last synced: 27 Jun 2025 - Ranking: 12.1

forest-offsets

Includes our libraries and scripts for analyzing California's compliance forest carbon offsets program.

Emissions - Emission Observation and Modeling - Last synced: 27 Jun 2025 - Ranking: 11.2

scikit-downscale

Statistical downscaling and postprocessing models for climate and weather model simulations.

climate downscaling scikit-learn xarray

Climate Change - Climate Downscaling - Last synced: 27 Jun 2025 - Ranking: 7.9

Carbon Dioxide Removal Database

Open science reports on carbon removal projects and technologies.

Emissions - Carbon Offsets and Trading - Last synced: 27 Jun 2025 - Ranking: 6.2