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Provides an efficient, scalable, and flexible way to store and access large, multi-dimensional arrays, the core data format used in climate models and observational datasets.
lang: Python
stars: 1.8K
last activity:
A community diagnostic and performance metrics tool for routine evaluation of Earth system models in World Climate Research Programme.
lang: NCL
stars: 250
last activity:
An open source project and Python package that provides verification metrics of deterministic (and probabilistic from properscoring) forecasts with xarray.
lang: Python
stars: 235
last activity:
Xarray extension for unstructured climate and global weather data analysis and visualization.
lang: Python
stars: 196
last activity:
A Python package to read and calibrate NOAA and Metop AVHRR GAC and LAC data.
lang: Python
stars: 23
last activity:
A Python package for data-wrangling, analysis and visualization of integrated-assessment scenarios and energy systems modeling results.
lang: Python
stars: 262
last activity:
A climate change scenario-building analysis framework, built with Intake-esm catalogs and xarray-based packages such as xclim and xESMF.
lang: Python
stars: 21
last activity:
A series of command-line tools to make common data engineering tasks easier for researchers in climate and weather.
lang: Python
stars: 231
last activity:
Global Superstructure/Workflow currently supporting the Finite-Volume on a Cubed-Sphere Global Forecast System.
lang: Shell
stars: 86
last activity:
Stochastically creates Earth System Model-specific spatio-temporally correlated climate variable field realizations at a negligible computational cost.
lang: Python
stars: 28
last activity:
An open source project and Python package that introduces labels in the form of dimensions, coordinates, and attributes on top of raw NumPy-like arrays, which allows for more intuitive, more concise, and less error-prone user experience.
lang: Python
stars: 3.9K
last activity:
A collection of scripted tools developed to inform risk analytics for the World Bank's Country Climate and Development Report risk screening activities.
lang: Jupyter Notebook
stars: 22
last activity:
An open source Python application for downloading, processing, and delivering surface water maps derived from remote sensing data.
lang: Python
stars: 179
last activity:
A mechanism for data, environments, and user setup for common environmental and climate health datasets in R.
lang: R
stars: 10
last activity:
Stands for CLIMate ADAptation and is a probabilistic natural catastrophe impact model, that also calculates averted damage (benefit) thanks to adaptation measures of any kind (from grey to green infrastructure, behavioural, etc.).
lang: Jupyter Notebook
stars: 383
last activity: