e3sm_diags
Diagnostic toolset
A diagnostics package for climate models that integrates various diagnostic tools and observational datasets.
E3SM Diagnostics package
43 stars
141 watching
33 forks
Language: Jupyter Notebook
last commit: 2 months ago
Linked from 1 awesome list
protontypes/open-sustainable-technologyRelated projects:
| Repository | Description | Stars |
|---|---|---|
| e3sm-project/e3sm | A state-of-the-art climate modeling system with full coupling of biogeochemical and cryospheric processes | 356 |
 mpas-dev/mpas-analysis | Provides tools and analysis for understanding the behavior of large-scale climate models like MPAS within the E3SM framework. | 55 |
| e3sm-project/gdess | A tool for evaluating atmospheric carbon dioxide concentrations from Earth system models | 8 |
| e3sm-project/scream | Development environment for high-performance C++ atmosphere model | 80 |
 zmlabe/icevarfigs | Tools and scripts for analyzing climate data and producing visualizations | 82 |
 mesmer-group/mesmer | Creates spatially resolved climate variable field realizations from global Earth System Model output | 24 |
 ecmwfcode4earth/deepr | Project aimed at downscaling global climate data to higher resolutions using deep learning techniques. | 24 |
 umr-cnrm/epygram | A Python package for analyzing and visualizing meteorological fields. | 16 |
 pcmdi/cmor | Tools and utilities to process climate model output data from CMIP6 experiments. | 54 |
 ai2cm/pace | An implementation of the FV3GFS / SHiELD atmospheric model in Python | 37 |
 escomp/cesm | Provides tools and infrastructure for managing and running the Community Earth System Model | 348 |
 eccc-cccs/geomet-climate | A toolset for deploying and managing geospatial climate data services using Python and OGC Web Services standards. | 22 |
| pcmdi/pcmdi_metrics | A package providing tools and metrics for evaluating Earth system models | 104 |
 xgcm/xgcm | A package that provides a framework for analyzing high-resolution climate model output data | 228 |
 zilum/sacpy | A Python package for efficient statistical analysis of climate data | 58 |