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2022_ml_ees

Course repository for "Machine Learning for Earth and Environmental Sciences" (UNIL, FGSE, Fall 2022)

2023_mooc_ecmwf

Contribution to ECMWF's MOOC on "Machine Learning in Weather & Climate"

atmorep

AtmoRep model code

awesome-ts-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

awtclustering

Repo for the paper "AWT - Clustering using an Aggregated Wavelet Tree: A novel automatic unsupervised clustering and outlier detection algorithm with an application example to non-standard meteorological time series"

bep-bam

cloud_diffusion

Diffusion on the Clouds: Short-term solar energy forecasting with Diffusion Models

cnns-for-wind-field-downscaling

Code repository for the paper "A Comparative Study of Convolutional Neural Network Models for Wind Field Downscaling" by Kevin Höhlein, Michael Kern, Timothy Hewson and Rüdiger Westermann

convae_pp

Convolutional autoencoders for spatially-informed ensemble post-processing

deep-rnn-for-extreme-wind-speed-prediction

Paper code for "Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extreme wind speed events in the short-to-medium range".

deeppvmapper

Automated pipeline for large scale detection of solar arrays in France

deepr

DeepR: Deep Reanalysis

deepsensor

DeepSensor is a Python package for tackling diverse environmental prediction tasks with NPs.

earthkit

ecmwf_workshop_2022

Contains poster and updated version

es_energy_transformer

Python Darts deep forecasting models

esa-superresolution-forecasting

Forecasting air pollution using ESA Sentinel-5p data, and an encoder-decoder convolutional LSTM neural network architecture, implemented in Pytorch

essd-emos

fftransformer

Multi-Step Spatio-Temporal Forecasting: https://authors.elsevier.com/sd/article/S0306-2619(22)01822-0

global_wind_droughts

This repository contains scripts to calculate global distributions of and trends in wind droughts.

gusto

enerGy commUnity System mOdeling

iea_pvps_t16_qc_pynb

lsalst-to-netcdf4

Extracts data from one or more landSAF LST HDF5s, resamples them, stacks them, and adds them to a new netCDF4.

mooc-machine-learning-weather-climate

neural-lam

Neural Weather Prediction for Limited Area Modeling

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

p1-atmorep

paretoboost

Predicting weather extremes (frequency, intensity and spatial dependence) with machine learning

powerweb_testing

ppnn

post-processing experiments with neural networks