Onboard cloud detection and atmospheric correction with end-to-end deep learning emulators

ML emulation of a local-scale UK climate model

Preliminary steps on AI-based active deformation processes classification and time series forecasting

Estimation of dynamical instability (local Lyapunov exponents) in chaotic systems

Post-processing Quantitative Precipitation Forecasts Using Machine Learning in Southern Brazil

Giant Antarctic icebergs – segmentation using a deep neural network

Machine learning-based crop yield forecasting in the Pannonian Basin and its skill in years of severe drought

Machine learning estimation of storm updrafts

Understanding cloud systems over land and ocean using energy - based deep learning neural networks

Hybrid data assimilation for model error estimation and correction at ECMWF

Precipitation correction and downscaling applied to the ERA5 dataset

Recursive climate feature selection for regional weather prediction

Sensitivity Analysis and Machine Learning of a Sea Ice Melt Pond Parametrisation

FluViSat: Measuring Streamflow from Space

Error covariance free variational assimilation with deep prior

Deep learning of subgrid-scale parametrisations for sea-ice dynamics

A 1-D QBO model testbed for data-driven gravity wave parameterization: Generalization and calibration

Flood risk forecasting using a combination of hydrological modelling and machine learning methods

Mapping Malaria Prevalence in sub-Saharan Africa with Deep Learning and Satellite Imagery

FloodSENS

AtmoRep: Large Scale Representation Learning for Atmospheric Data

Probabilistic machine learning for predicting convection initiation

Development of multi-parametric Geophysical Modulation Function for scatterometry wind vector retrievals

Coupling regional air quality simulations of EURAD-IM with street canyon observations - a machine learning approach

Machine Learning-Based Approaches to Predict the Autoconversion Rates from Satellite Data

Intercomparison of deep learning architectures for the prediction of precipitation fields

Earth System Deep Learning for Global Wildfire Forecasting

Coarse-graining Wastes Data: A Transfer Learning Approach for Leveraging All High-Resolution Data in Machine Learning Parameterizations.

An assessment of Machine Learning Methods for emulating 2D quasi-geostrophic dynamics

Synthetic data generation using machine learning for improved prediction of dynamic viscosity

Machine Learning for Research and Applications using NASA’s Black Marble Nighttime Lights Product Suite

Wide-Area land cover mapping with sentinel-1 imagery using deep learning semantic segmentation models

Physics-Enriched Co-registration for Satellite On-Board Processing

NO2 Forecast with Lightweight Machine Learning Models Based on POD Dimensionality Reduction

Using machine learning to classify severe summer convective storms based on a multi-data approach: A 0-4h warning system prototype at DWD