Alternatives and similar repositories for 4dvarnet-core

Users that are interested in 4dvarnet-core are comparing it to the libraries listed below

• lkugler / RTTOV-WRF
  Simulate SEVIRI satellite channels from WRF output
  ☆23Updated 8 months ago
• eWaterCycle / era5cli
  Command Line Interface to download ERA5 from Copernicus Climate Data Service
  ☆53Updated 4 months ago
• ocean-data-challenges / 2020a_SSH_mapping_NATL60
  A challenge on the mapping of satellite altimeter sea surface height data organised by MEOM@IGE, Ocean-Next and CLS.
  ☆38Updated last year
• paulaharder / deep-downscaling-overview
  A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.
  ☆100Updated 6 months ago
• ai2es / WAF_ML_Tutorial_Part1
  Python code to assist in familiarizing meteorologists with machine learning
  ☆60Updated 2 years ago
• ecmwf / anemoi-inference
  ☆30Updated this week
• maikejulie / DNN4Cli
  Code for Sonnewald and Lguensat 2021
  ☆23Updated 2 years ago
• carlos-gg / dl4ds
  Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…
  ☆93Updated last year
• NCAR / ai4ess-hackathon-2020
  ☆111Updated 4 years ago
• xarray-contrib / xeofs
  Comprehensive EOF analysis in Python with xarray: A versatile, multidimensional, and scalable tool for advanced climate data analysis
  ☆121Updated 7 months ago
• spcl / deep-weather
  Deep Learning for Post-Processing Ensemble Weather Forecasts
  ☆93Updated 2 years ago
• raspstephan / nwp-downscale
  ☆40Updated 3 years ago
• ecmwf-lab / climetlab-s2s-ai-challenge
  climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge
  ☆36Updated last year
• ZiluM / sacpy
  A Python Package for Statistical Analysis of Climate
  ☆63Updated last year
• Dan-Boat / PyESD
  Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of…
  ☆54Updated 7 months ago
• kjhall01 / xcast
  A High-Performance Data Science Toolkit for the Earth Sciences
  ☆68Updated last year
• RolnickLab / constrained-downscaling
  A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
  ☆87Updated 6 months ago
• cghoffmann / mjoindices
  This repository provides a Python implementation of the calculation algorithm for the OLR-based MJO index (OMI).
  ☆41Updated 2 years ago
• NCAR / rda-apps-clients
  RDA apps clients. Subdirectories will be organized by language, e.g. python, perl, c++, bash
  ☆37Updated last year
• SantanderMetGroup / DeepDownscaling
  Deep learning approaches for statistical downscaling in climate
  ☆72Updated 3 years ago
• NCAR / miles-credit
  MILES Community Research Digital Intelligence Twin (CREDIT): research platform for AI numerical weather prediction models.
  ☆51Updated this week
• ecmwf / anemoi-utils
  ☆12Updated this week
• SWOT-community / SWOT-Oceanography
  ☆42Updated 2 months ago
• OpheliaMiralles / wind-downscaling-gan
  ☆34Updated 2 years ago
• ClimateGlobalChange / tempestextremes
  Extreme weather detection and characterization
  ☆109Updated this week
• ocean-eddy-cpt / gcm-filters
  Diffusion-based Spatial Filtering of Gridded Data
  ☆43Updated 9 months ago
• NCAR / wrf_hydro_training
  Jupyter notebooks for WRF-Hydro trainings
  ☆54Updated 3 months ago
• yingkaisha / JAMC_20_0057
  (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".
  ☆18Updated 4 years ago
• uba / tathu
  TATHU is a Python package for tracking and analyzing the life cycle of convective systems.
  ☆33Updated 3 weeks ago
• ihesp / IPART
  Image-Process based Atmospheric River Tracking (IPART) algorithms
  ☆31Updated 2 years ago