Development and Implementation of Climate Emulator for Destination Earth

The aim of this ITT is to develop a machine learning-based DestinE Climate Twin emulator in form of well documented and runnable code package for both training and inference, pre-trained neural network models, as well as a documentation that details the capabilities and limitations of the emulator with respect to expected properties. The deliverables must be suitable to serve as basis for future developments as part of DestinE.

Full details of the invitation to tender are available on the ECMWF DestinE Procurement section.

About the Digital Twin Engine and first Digital Twins

As part of the wider Destination Earth initiative, ECMWF is one of three entrusted entities tasked with delivering the Digital Twin Engine. This is one of the components of DestinE aside from the DestinE Core Service Platform (DESP) being developed by the European Space Agency (ESA) and the DestinE Data Lake being developed by European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT).

The Digital Twin Engine is at the core of the first two high-priority digital twins, also delivered under the responsibility of ECMWF. The Digital Twin on Weather-Induced and Geophysical Extremes will provide capabilities for the assessment and prediction of environmental extremes. The Digital Twin on Climate Change Adaptation will support the generation of analytical insights and testing of predictive scenarios in support of climate adaptation and mitigation policies at multi-decadal timescales, from global and national to regional levels.

More information about the tender

Please note that the information in this website aims solely to inform interested parties of potential opportunities related to Destination Earth. Full or more accurate information on the requirements, conditions and procedures are to be found in the main procuring agency’s procurement.