Destination Earth Machine-Learning Demonstrators:Lot 3 Combining Heterogeneous Climate Projections for Climate Adaptation

Overview

DE_391C

Overview

This contract focuses on combining information from the high‑resolution climate simulations in the DestinE Climate DT with global CMIP6 and regional EURO‑CORDEX climate projections, using artificial intelligence (AI). The Climate DT provides globally consistent, high‑resolution data that explicitly resolves key climate processes for three models, reducing model uncertainty and bias, while CMIP and EURO‑CORDEX ensembles suffer from biases and coarse resolution but can contribute long, multi‑model time series that quantify structural uncertainty for climate services. Using the FRAIMHiRes AI downscaling method, trained on Climate DT simulations, the contract will try to transfer the potential added value of high‑resolution DT data to (potentially longer) coarser‑resolution DT ensembles by creating a “ClimateDT FineScaler”. The resulting downscaled ensemble will be evaluated for its statistical robustness, added value over original projections and CMIP/CORDEX simulations, and suitability for climate impact and adaptation studies.

Provider

The provider for this contract is the German Meteorological Service (DWD).