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Found 5 papers, 4 papers with code
Transferring climate change knowledge
Accurate and precise climate projections are required for climate adaptation and mitigation, but Earth system models still exhibit great uncertainties.
Bootstrap aggregation and confidence measures to improve time series causal discovery
It can be combined with a range of time series causal discovery methods and provides a measure of confidence for the links of the time series graphs.
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation
The dataset is global in coverage, spans multiple years at high sampling frequency, and is designed such that resulting emulators are compatible with downstream coupling into operational climate simulators.
Deep Learning Based Cloud Cover Parameterization for ICON
A promising approach to improve cloud parameterizations within climate models and thus climate projections is to use deep learning in combination with training data from storm-resolving model (SRM) simulations.
On the Generalization of Agricultural Drought Classification from Climate Data
Climate change is expected to increase the likelihood of drought events, with severe implications for food security.
