xscen
Scenario analyzer
Analyzes climate change scenarios using climate datasets and tools.
A climate change scenario-building analysis framework.
18 stars
6 watching
2 forks
Language: Python
last commit: almost 2 years agoLinked from 1 awesome list
protontypes/open-sustainable-technologyRelated projects:
| Repository | Description | Stars |
|---|---|---|
| ouranosinc/xclim | A Python library for constructing climate indicators and performing data treatment workflows | 335 |
 iamconsortium/pyam | A Python package for analyzing and visualizing energy and climate scenarios | 241 |
| ouranosinc/miranda | A Python utility library for collecting and managing climate data from various sources. | 18 |
 zilum/sacpy | A Python package for efficient statistical analysis of climate data | 58 |
 iiasa/ipcc_sr15_scenario_analysis | Develops tools and analysis for the IPCC's 1.5°C global warming report by categorizing climate scenarios and generating assessment indicators | 64 |
 mpas-dev/mpas-analysis | Provides tools and analysis for understanding the behavior of large-scale climate models like MPAS within the E3SM framework. | 55 |
 aazuspan/wxee | A Python interface between Earth Engine and xarray for processing time series data | 207 |
 xgcm/xgcm | A package that provides a framework for analyzing high-resolution climate model output data | 228 |
 jbusecke/xmip | A package for preprocessing and analyzing CMIP6 climate model data in Python using Pangeo tools. | 198 |
 zmlabe/icevarfigs | Tools and scripts for analyzing climate data and producing visualizations | 82 |
 spencerahill/aospy | Automates computations involving gridded climate data and manages results | 84 |
 climopy-dev/climopy | A toolset for analyzing climate data | 24 |
 cal-adapt/climakitae | A Python toolkit for accessing and analyzing climate data from the Cal-Adapt Analytics Engine. | 21 |
 openscm/pymagicc | A Python wrapper around a climate model allowing users to simulate and analyze climate change scenarios | 43 |
 kjhall01/xcast | A toolkit for climate forecasting and data analysis | 67 |