cf-python

Data Analysis Library

A Python library implementing a CF data model and providing tools for Earth Science data analysis

A CF-compliant Earth Science data analysis library

GitHub

125 stars
5 watching
19 forks
Language: Python
last commit: 10 days ago
Linked from 1 awesome list

cfcfdmcfunitsdata-analysisearth-sciencemetadatanetcdfpppythonum

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
cat-cfs/libcbm_py Library providing functionality for modeling carbon budgets based on the CBM-CFS3 framework 7
cedadev/cis A Python tool for collocation, visualization, analysis, and comparison of diverse datasets used in earth sciences. 46
mpas-dev/mpas-analysis Provides tools and analysis for understanding the behavior of large-scale climate models like MPAS within the E3SM framework. 55
ecmwf/climetlab Provides an interface to weather and climate data for scientific analysis in Python 374
cuttlefishh/python-for-data-analysis An introduction to data science using Python and Pandas with Jupyter notebooks 847
escomp/cmeps Tools and components for coupling Earth system models in climate prediction systems. 24
ecmwf/cfgrib Maps GRIB files to the NetCDF Common Data Model following the CF Convention. 407
pypsa/247-cfe An effort to study and model the impacts of 24/7 Carbon-Free Energy procurement in Europe using Python and PyPSA 27
nsidc/earthaccess A Python library providing easy access to NASA Earth science data 418
coecms/clef A tool for searching and discovering climate data across various datasets 7
ncar/ccpp-physics Provides standardized physics parameterizations for atmospheric models 59
ecmwf/cdsapi Provides an interface to access climate data from the Copernicus Climate Data Store 244
roocs/clisops A Python library for performing basic data reduction operations on climate science data. 22
escomp/cesm Provides tools and infrastructure for managing and running the Community Earth System Model 342
xcdat/xcdat An extension of xarray for climate data analysis on structured grids. 119