DiegoBueso / ROCK-PCA

Related projects: ⓘ

• ptandeo / AnDA
  ¡AnDA! is a Python library for the Analog Data Assimilation.
  ☆27Updated 2 years ago
• mjacox / MHW_Forecasts
  matlab code used for analysis in Jacox et al. 2022
  ☆11Updated 2 years ago
• thiery-lab / data-assimilation
  Python code for data assimilation methods
  ☆45Updated last year
• jgomezdans / gp_emulator
  Gaussian Process emulators in Python
  ☆16Updated 5 years ago
• Shady-Ahmed / PyDA
  PyDA: A hands-on introduction to dynamical data assimilation with Python
  ☆59Updated 3 years ago
• RJArthern / WAVI.jl
  WAVI ice sheet model
  ☆28Updated 2 weeks ago
• thunderhoser / cira_uq4ml
  Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere
  ☆16Updated last year
• gher-uliege / DINCAE.jl
  DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.
  ☆22Updated this week
• IPL-UV / AIDE
  ☆14Updated 3 months ago
• brajard / GMD-code
  ☆11Updated last year
• 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.
  ☆33Updated 11 months ago
• georgemilosh / Climate-Learning
  How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
  ☆19Updated 3 weeks ago
• tamsinedwards / emulandice
  Emulator of multi-model land ice projections: Edwards et al. (2021), Nature, Projected land ice contributions to twenty-first-century sea…
  ☆14Updated last year
• fmaussion / climate_system
  Notes and practicals for my "Physics of the Climate System" lecture
  ☆26Updated last month
• gher-uliege / DINCAE
  DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.
  ☆45Updated 5 months ago
• scotthosking / get-station-data
  Easily grab weather station data from around the globe (e.g. GHCN)
  ☆26Updated 10 months ago
• m2lines / L96_demo
  Lorenz 1996 two time-scale model for learning machine learning
  ☆33Updated last month
• TomBolton / DeepEddy
  Python code for "Applications of Deep Learning to Ocean Data Inference and Sub-Grid Parameterisation" (https://doi.org/10.1029/2018MS0014…
  ☆47Updated 5 years ago
• maikejulie / DNN4Cli
  Code for Sonnewald and Lguensat 2021
  ☆20Updated last year
• chadagreene / BedMachine
  Matlab tools for loading, interpolating, and displaying BedMachine ice sheet topography.
  ☆22Updated last year
• tbeucler / CBRAIN-CAM
  Code for neural network parameterization project
  ☆16Updated 10 months ago
• duncanwp / ESEm
  Easy emulating of geophysical models including (but not limited to!) Earth System Models.
  ☆51Updated last year
• TUW-GEO / ismn
  Readers for the data from the International Soil Moisture Network
  ☆33Updated 2 weeks ago
• USGS-R / river-dl
  Deep learning model for predicting environmental variables on river systems
  ☆21Updated last year
• Machine-Learning-in-Glaciology-Workshop / Project_MB_Regression
  Tutorial to learn how to train different machine learning methods to model glacier mass balance.
  ☆20Updated 2 weeks ago
• EUPP-benchmark / climetlab-eumetnet-postprocessing-benchmark
  A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.
  ☆29Updated 11 months ago
• bueler / mccarthy
  my slides, notes, and codes on numerical glacier and ice sheet modeling, for the International Summer School in Glaciology, McCarthy, AK
  ☆18Updated 3 months ago
• ai2cm / ace
  Ai2 Climate Emulator
  ☆33Updated 2 weeks ago
• tsutterley / spatial-interpolators
  Python functions to spatially interpolate data over Cartesian and spherical grids
  ☆28Updated 10 months ago
• CIA-Oceanix / 4dvarnet-core
  Core implementation of the 4DVarNet architecture
  ☆21Updated 4 months ago