Alternatives and similar repositories for climate_learn

Users that are interested in climate_learn are comparing it to the libraries listed below

• hdrake / cmip6-temperature-demo
  Tutorials for basic analysis of CMIP6 climate models on the Google Cloud Platform.
  ☆74Updated 5 years ago
• tjvandal / bcsd-python
  Tool using python and cdo to apply daily climate downscaling with BCSD.
  ☆37Updated 3 years ago
• bgroenks96 / generative-downscaling
  Research and experiments for downscaling climate/weather data via generative learning
  ☆34Updated 3 years ago
• ECMWFCode4Earth / ml_drought
  Machine learning to better predict and understand drought. Moving github.com/ml-clim
  ☆93Updated 3 years ago
• ecmwf-lab / climetlab-s2s-ai-challenge
  climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge
  ☆36Updated 2 years ago
• djgagne / ams-ml-python-course
  Machine Learning in Python for Environmental Science Problems AMS Short Course Material
  ☆180Updated 6 years ago
• TUW-GEO / ecmwf_models
  Python package for downloading ECMWF reanalysis data and converting it into a time series format.
  ☆42Updated this week
• kjhall01 / xcast
  A High-Performance Data Science Toolkit for the Earth Sciences
  ☆68Updated last year
• NCAR / goes16ci
  GOES-16 Convective Initiation Benchmark
  ☆17Updated 3 years ago
• pankajkarman / bias_correction
  python library for bias correction
  ☆33Updated 2 years ago
• iroreilly / ams-2020-ml-python-course
  Materials for the Machine Learning in Python for Environmental Science Problems AMS 2020 Short Course
  ☆29Updated 5 years ago
• eabarnes1010 / ml_tutorial_csu
  material for the CSU-led machine learning tutorial for earth science research
  ☆90Updated 3 years ago
• NCAR / ai4ess-hackathon-2020
  ☆111Updated 4 years ago
• njsparks / iris
  Imperial College Storm Model
  ☆14Updated last year
• pangeo-data / pangeo-cmip6-examples
  Examples of analysis of CMIP6 data using xarray and dask
  ☆54Updated 5 years ago
• thunderhoser / GewitterGefahr
  End-to-end machine-learning library for predicting thunderstorm hazards.
  ☆34Updated this week
• slerch / ppnn
  post-processing experiments with neural networks
  ☆63Updated 3 years ago
• Ambrosys / climatelearn
  El nino forecast based on a few machine learning methods
  ☆24Updated 9 years ago
• NCAR / PostProcessForecasts
  Beta for Pangeo Postprocessing
  ☆17Updated 5 years ago
• ClimateImpactLab / downscaleCMIP6
  Downscaling & bias correction of CMIP6 tasmin, tasmax, and pr for the R/CIL GDPCIR project
  ☆144Updated 3 months ago
• pangeo-data / scikit-downscale
  Statistical climate downscaling in Python
  ☆192Updated 2 months ago
• andregraubner / ClimateNet
  Climate Analytics using Deep Neural Networks in Python.
  ☆62Updated last year
• semvijverberg / RGCPD
  Climate analysis toolbox to investigate teleconnections, test for causality, and make forecasts.
  ☆33Updated 2 years ago
• tjvandal / deepsd
  DeepSD Super-resolution for Climate Downscaling in KDD 2017
  ☆94Updated 3 years ago
• coecms / era5
  Python code to manage ERA5 downloads at NCI
  ☆33Updated 4 years ago
• NCAR / wrf_python_tutorial
  Student Workbook Repository for the wrf-python Tutorial
  ☆74Updated 4 years ago
• royalosyin / A-Beginner-Guide-to-Carry-out-Extreme-Value-Analysis-with-Codes-in-Python
  A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential interv…
  ☆59Updated 8 years ago
• scotthosking / baspy
  Making it far easier to read in and work with large volumes of climate model output from CMIP5/6
  ☆21Updated 4 years ago
• NCAR / GARD
  Generalized Analog Regression Downscaling (GARD) code
  ☆33Updated last year
• duncanwp / python_for_climate_scientists
  A python course intended to provide a thorough grounding for those working in the earth sciences
  ☆35Updated 7 years ago