Alternatives and similar repositories for ensemblefilters

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

• Shady-Ahmed / PyDA
  PyDA: A hands-on introduction to dynamical data assimilation with Python
  ☆73Updated 4 years ago
• NCAR / mlmicrophysics
  Machine learning emulators for microphysical processes.
  ☆14Updated 5 months ago
• nansencenter / DA-tutorials
  Tutorials on data assimilation (DA) and the EnKF
  ☆176Updated this week
• thiery-lab / data-assimilation
  Python code for data assimilation methods
  ☆51Updated 2 years ago
• djgagne / lorenz_gan
  Lorenz 96 model with GAN parameterization of unresolved scale (Y).
  ☆37Updated 5 years ago
• drsteve / PyForecastTools
  Forecast Verification/Validation Tools in Python
  ☆35Updated 2 years ago
• nansencenter / DAPPER
  Data Assimilation with Python: a Package for Experimental Research
  ☆386Updated last month
• ptandeo / AnDA
  ¡AnDA! is a Python library for the Analog Data Assimilation.
  ☆28Updated 3 years ago
• VSainteuf / mcssa
  Python implementation of Monte Carlo Singular Spectrum Analysis for univariate time series.
  ☆43Updated 3 years ago
• brajard / GMD-code
  ☆12Updated 2 years ago
• ecosme38 / Data-Assimilation-Notebooks
  ☆58Updated last year
• deepsphere / deepsphere-weather
  A spherical CNN for weather forecasting
  ☆72Updated 2 years ago
• georgemilosh / Climate-Learning
  How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
  ☆23Updated 7 months ago
• raspstephan / CBRAIN-CAM
  Code for neural network parameterization project
  ☆76Updated 5 years ago
• duncanwp / ClimateBench
  ☆105Updated last year
• microsoft / subseasonal_toolkit
  Subseasonal forecasting models
  ☆54Updated 8 months ago
• jweyn / DLWP-CS
  Deep learning models for global weather prediction on a cubed sphere
  ☆95Updated 5 years ago
• raspstephan / Lorenz-Online
  Experiments demonstrating coupled online learning for machine learning parameterizations
  ☆22Updated 2 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
• andregraubner / ClimateNet
  Climate Analytics using Deep Neural Networks in Python.
  ☆64Updated 2 years ago
• PAGWatson / Lorenz96_and_neural_networks
  Using machine learning to improve simulations of a dynamical system
  ☆10Updated 6 years ago
• thunderhoser / cira_uq4ml
  Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere
  ☆19Updated 2 years ago
• pangeo-data / mldata
  ML Datasets Catalog
  ☆58Updated 2 years ago
• AtmosSci-DLESM / DLESyM
  Software for training, running and analyzing a Deep Learning Earth System Model (DLESyM)
  ☆21Updated this week
• awikner / CHyPP
  MATLAB code for Combined Hybrid-Parallel Prediction
  ☆10Updated 2 years ago
• jswhit / sqgturb
  Python codes for studying predictability and data assimlation with a surface quasi-geostrophic turbulence model
  ☆35Updated 7 months ago
• ai2es / miles-guess
  Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.
  ☆29Updated 3 months ago
• jeonghwan723 / A_CNN
  CNN based ENSO all season forecast model
  ☆18Updated last year
• UMD-AOSC / DA_Tutorial
  This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).
  ☆28Updated 3 months ago
• jeonghwan723 / DL_ENSO
  CNN for climate forecast
  ☆90Updated last year