Project website for our NASA-funded computational climate-science curriculum
-
Updated
Jun 18, 2024 - HTML
Project website for our NASA-funded computational climate-science curriculum
A data utility for tracking climate action
Python package to reconstruct and extend observational climate series through empricial downscaling of large-scale models
PRAGA PRogram for AGrometeorological Analysis
A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources.
The OGD@MeteoSwiss project team informs about the ongoing realisation phase of 'Open Data by default' by MeteoSwiss. We are open to feedback on the proposed 'open data products' and our questions in the discussions' section.
🌾 R package to provide an efficient and simple solution to aggregate and analyze the stationarity of time series
The R climate package: an interface for downloading in-situ meteorological (and hydrological) dataset
The next generation of the PRIMAP climate policy analysis suite
Python wrapper around the Flexible Query API of the UNFCCC.
Collection of categorization systems for climate policy analysis
Distributed SolarNode components for collecting data and controlling devices.
El Observatorio de Cambio Climático, liderado por el Ministerio de Ciencia, Tecnología, Conocimiento e Innovación es un proyecto que tiene como objetivo disponer de información de interés climatológico recopilada por instituciones a lo largo del país
Uses FORTRAN and Python to pull data from International Comprehensive Ocean-Atmosphere Data Set (ICOADS)
Open-source Python package for Systematic Evaluation of Climate and Earth System Models
The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolution inputs.
CloudDrift accelerates the use of Lagrangian data for atmospheric, oceanic, and climate sciences.
A part of HyRiver software stack for accessing hydrology data through web services
Access and analyze historical weather and climate data with Python.
Add a description, image, and links to the climate-data topic page so that developers can more easily learn about it.
To associate your repository with the climate-data topic, visit your repo's landing page and select "manage topics."