0xshipthecode / ndw-climate

Related projects ⓘ

Alternatives and complementary repositories for ndw-climate

• nicolasfauchereau / climate_data_analytics
  Material (Jupyter Notebooks) for the University of Otago Climate Data and Analytics Workshop (26 May 2022)
  ☆13Updated 2 years ago
• kuchaale / X-regression
  Multiple linear regression from Statsmodels library coupled with Xarray library
  ☆12Updated 5 years ago
• CommonClimate / notebooks
  Jupyter notebooks for research and teaching
  ☆11Updated 2 years ago
• martin-rdz / trace_airmass_source
  Trajectory analysis software, that produces time height cross sections with residencte time clustered by surface type.
  ☆10Updated 2 months ago
• aerler / GeoPy
  The backbone of my geo-spatial analysis code.
  ☆10Updated 10 months ago
• georgemilosh / Climate-Learning
  How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
  ☆20Updated 2 months ago
• yuminliu / Downscaling
  Climate Downscaling using Computer Vision Techniques
  ☆10Updated 4 years ago
• Ambrosys / climatelearn
  El nino forecast based on a few machine learning methods
  ☆24Updated 8 years ago
• raybellwaves / xskillscore-tutorial
  ☆10Updated 3 years ago
• pankajkarman / HyTraj
  Implementation of HySPLIT based trajectory modeling and analysis in python.
  ☆6Updated 4 months ago
• paulaharder / constrained-downscaling
  A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
  ☆10Updated last year
• eabarnes1010 / controlled_abstention_networks
  Neural network loss functions for regression and classification tasks that can say "I don't know".
  ☆13Updated 2 years ago
• peernow / CME_NCOMMS_2020
  Supplementary files and scripts for Nowack et al., Causal networks for climate model evaluation and constrained projections, Nature Commu…
  ☆19Updated 3 years ago
• senclimate / XRO
  XRO: Extended nonlinear Recharge Oscillator model
  ☆13Updated 5 months ago
• nicolasfauchereau / Auckland_Python_Workshop
  Python for Climate and Meteorological Data Analysis and Visualisation
  ☆21Updated 5 years ago
• karenamckinnon / observational_large_ensemble
  Python code to create the Observational Large Ensemble.
  ☆10Updated last year
• justinalsing / dlmmc
  Dynamical linear modeling (DLM) regression code for analysis of atmospheric time-series data.
  ☆23Updated 4 years ago
• jnelson18 / TranspirationEstimationAlgorithm
  A method of estimating transpiration directly from carbon, water, and energy fluxes, such as eddy covariance datasets
  ☆11Updated last year
• NCAR / ai4ess-hackathon-2020-notebooks
  ☆14Updated 4 years ago
• tommylees112 / vegetation_health
  predicting vegetation health from precipitation and temperature
  ☆12Updated 5 years ago
• rafaelcabreu / attribution
  ☆14Updated 4 years ago
• atmtools / konrad
  Implementation of a radiative-convective equilibrium model.
  ☆20Updated 4 months ago
• pjpetersik / ninolearn
  NinoLearn is a research framework for statistical ENSO prediction.
  ☆10Updated 4 years ago
• tbeucler / 2022_ML_Earth_Env_Sci
  Google Collab Notebooks for the UNIL Spring 2022 course on ML for Earth and Environmental Sciences
  ☆14Updated 2 years ago
• braaannigan / climate_python_intro
  ☆10Updated 2 years ago
• JGCRI / fldgen
  Given a global mean temperature pathway, generate random global climate fields consistent with it and with spatial and temporal correlati…
  ☆13Updated 4 years ago
• tobifinn / torch-assimilate
  Python package based on PyTorch and Dask for efficient and parallelized data assimilation of weather model data and observations on GPUs.
  ☆11Updated 2 years ago
• Davidgraey / NeuralNetworks-for-Forced-Climate-Patterns
  Neural Network code for the paper Neural Network Code for the paper 'Viewing Forced Climate Patterns through an AI Lens' by Elizabeth A. …
  ☆10Updated 5 years ago
• IMMM-SFA / starfit
  Storage Target and Release Function Inference Tool
  ☆13Updated 2 years ago
• ECMWFCode4Earth / aq-biascorrection
  Bias correction of air quality CAMS model predictions by using OpenAQ observations.
  ☆11Updated 3 years ago