NCAR / mlmicrophysics

Related projects ⓘ

Alternatives and complementary repositories for mlmicrophysics

• TomBolton / DeepEddy
  Python code for "Applications of Deep Learning to Ocean Data Inference and Sub-Grid Parameterisation" (https://doi.org/10.1029/2018MS0014…
  ☆48Updated 6 years ago
• thunderhoser / cira_uq4ml
  Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere
  ☆15Updated 2 years ago
• NCAR / ai4ess-hackathon-2020-notebooks
  ☆14Updated 4 years ago
• drsteve / PyForecastTools
  Forecast Verification/Validation Tools in Python
  ☆32Updated last year
• zhonghua-zheng / pyEOF
  pyEOF: Empirical Orthogonal Function (EOF) analysis and Rotated EOF analysis in Python
  ☆42Updated 3 years ago
• miniufo / xinvert
  Invert geophysical fluid dynamic problems (elliptic partial differential equations) using SOR iteration method.
  ☆43Updated 7 months ago
• milankl / swm
  Shallow water equations solver with finite differences written in Python. Arakawa C-grid, Arakawa and Lamb advection scheme, Shchepetkin …
  ☆43Updated last year
• skaderli / WaveBreaking
  Detect, classify, and track Rossby Wave Breaking (RWB) in weather and climate data.
  ☆26Updated 2 months ago
• ashesh6810 / machine_learning_for_climate
  A set of pre-processing codes, A deep convolutional neural net and post-processing codes for classifying turbulent climate patterns
  ☆12Updated 6 years ago
• jweyn / ensemble-net
  Tools for deep learning and ensemble forecasting
  ☆13Updated 5 years ago
• Climdyn / qgs
  A 2-layer quasi-geostrophic atmospheric model in Python. Can be coupled to a simple land or shallow-water ocean component.
  ☆36Updated last month
• ajdawson / barotropic
  A simple atmospheric model
  ☆17Updated 7 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
• UCLALES-SALSA / UCLALES-SALSA
  UCLALES-SALSA is a Large-Eddy model coupled with a detailed sectional microphysics module for aerosol, clouds and precipitation
  ☆13Updated this week
• eabarnes1010 / course_ml_ats
  machine learning for the atmospheric sciences - a CSU course
  ☆30Updated last year
• djgagne / lorenz_gan
  Lorenz 96 model with GAN parameterization of unresolved scale (Y).
  ☆35Updated 4 years ago
• thunderhoser / GewitterGefahr
  End-to-end machine-learning library for predicting thunderstorm hazards.
  ☆32Updated this week
• jswhit / sqgturb
  Python codes for studying predictability and data assimlation with a surface quasi-geostrophic turbulence model
  ☆26Updated 8 months ago
• coecms / era5
  Python code to manage ERA5 downloads at NCI
  ☆30Updated 3 years ago
• adekunleoajayi / powerspec
  A python package for estimating wavenumber spectral density, flux, and coherence of two-dimensional oceanic fields.
  ☆16Updated 4 years ago
• mathewbarlow / simple-atmospheric-models
  code for simple models of the atmosphere and ocean
  ☆29Updated 2 years ago
• m2lines / L96_demo
  Lorenz 1996 two time-scale model for learning machine learning
  ☆36Updated this week
• joernc / QGModel
  Python code that solves nonlinear QG equations
  ☆14Updated 8 years ago
• ptandeo / AnDA
  ¡AnDA! is a Python library for the Analog Data Assimilation.
  ☆27Updated 2 years ago
• NCAR / goes16ci
  GOES-16 Convective Initiation Benchmark
  ☆16Updated 2 years ago
• Shady-Ahmed / PyDA
  PyDA: A hands-on introduction to dynamical data assimilation with Python
  ☆62Updated 3 years ago
• levicowan-noaa / ibtracs
  Python API for interfacing with the IBTrACS tropical cyclone best track dataset
  ☆12Updated 11 months ago
• ai2cm / ace
  Ai2 Climate Emulator
  ☆54Updated this week
• djgagne / swirlnet
  Deep learning tutorial for predicting low-level rotation.
  ☆19Updated 6 years ago
• m2lines / pyqg_parameterization_benchmarks
  Public-facing git repository for JAMES submission, "Benchmarking of machine learning ocean parameterizations in an idealized model"
  ☆10Updated last year