1377985.08 RES-0001 selec-w ORG-0001 TEN-0001 tenders 6 t-sme 4 t-no-eea 0 t-esubm 6 t-oth-eea 5 CON-0001 LOT-0001 RES-0002 selec-w ORG-0001 TEN-0002 tenders 6 t-sme 4 t-no-eea 0 t-esubm 6 t-oth-eea 5 CON-0002 LOT-0001 RES-0003 selec-w ORG-0001 TEN-0004 tenders 5 t-sme 3 t-no-eea 0 t-esubm 5 t-oth-eea 4 CON-0003 LOT-0005 RES-0004 selec-w ORG-0001 TEN-0005 tenders 5 t-sme 3 t-no-eea 0 t-esubm 5 t-oth-eea 4 CON-0004 LOT-0005 RES-0005 clos-nw rev-body tenders 1 t-sme 1 t-no-eea 0 t-esubm 1 t-oth-eea 1 LOT-0004 TEN-0001 false false 349802.08 no TPA-0001 LOT-0001 DE_391 Lot 1 Tender A TEN-0002 false false 342770.84 206826.09 60.34 yes true true TPA-0002 LOT-0001 DE_391 Lot 1 Tender B TEN-0004 false false 349145 no TPA-0004 LOT-0005 DE_391 Lot 3 Tender C TEN-0005 false false 336267.16 156744.78 46.61 yes true true TPA-0005 LOT-0005 DE_391 Lot 3 Tender D CON-0001 2026-01-19+01:00 2026-02-05+01:00 Provision of Destination Earth Services Machine-Learning Demonstrators: Lot 1 (Supporting water resilience in Europe) ORG-0001 ECMWF/DESTINE/2025/DE_391A_Deltares TEN-0001 CON-0002 2026-01-30+01:00 2026-02-02+01:00 Provision of Destination Earth Services Machine-Learning Demonstrators: Lot 1 (Supporting water resilience in Europe) ORG-0001 ECMWF/DESTINE/2025/DE_391B_PropheSea TEN-0002 CON-0003 2026-05-07+02:00 2026-05-13+02:00 Provision of Destination Earth Services: Machine-Learning Demonstrators: Lot 3 (Combining heterogeneous climate projections for climate adaptation) ORG-0001 ECMWF/DESTINE/2025/DE_391C_DWD TEN-0004 CON-0004 2026-05-20+02:00 2026-05-21+02:00 Provision of Destination Earth Services: Machine-Learning Demonstrators: Lot 3 (Combining heterogeneous climate projections for climate adaptation) ORG-0001 ECMWF/DESTINE/2025/DE_391D_RMIB TEN-0005 TPA-0001 Deltares ORG-0004 TPA-0002 PropheSea ORG-0003 TPA-0004 DWD ORG-0005 TPA-0005 RMIB ORG-0006 29 ORG-0001 European Centre for Medium Range Weather Forecasts (ECMWF) Robert-Schuman-Platz 3 Bonn 53175 DEA22 DEU fiscal code no. 91148050684 Procurement at ECMWF +44 118 949 9000 [email protected] https://www.ecmwf.int/ https://procurement.ecmwf.int/ ORG-0002 European Centre for Medium-Range Weather Forecasts (ECMWF) Shinfield Park Reading RG2 9AX GBR not applicable Procurement at ECMWF +44 118 949 9000 +44 118 986 9450 [email protected] false medium ORG-0003 PropheSea BV Altenastraat 3 Brugge 8310 BE251 BEL BE0745817657 false large ORG-0004 Stichting Deltares (Deltares) Boussinesqweg 1 Delft 2629HV NL362 NLD 41146461 large ORG-0005 Deutscher Wetterdienst (DWD) Frankfurter Strasse 135 Offenbach 63067 DE713 DEU n/a large ORG-0006 Royal Meteorological Institute of Belgium (RMIB) Avenue Circulaire 3 Brussels 1180 BE100 BEL BE 0349.294.822 false https://op.europa.eu ORG-0000 Publications Office of the European Union Luxembourg 2417 LU000 LUX PUBL +352 29291 [email protected] 00497744-2026 136/2026 2026-07-17+02:00 2.3 eforms-sdk-1.14 44ec4872-be32-4584-a02d-fcefcce79111 f6b7e605-fd2b-472e-ba5f-142da1836d25 2026-07-16Z 09:02:06Z 01 other can-standard ENG https://procurement.ecmwf.int/ int-org env-pro ORG-0001 ted-esen ORG-0000 Other open 342665-2025 false DE_391 DE_391 Destination Earth Machine-Learning Demonstrators ECMWF, as one of the Entrusted Entities for the Destination Earth (DestinE) initiative, entered into contracts for the provision of services aimed at implementing DestinE ML-based demonstrators. Contracts are expected to implement ML Demonstrators on different topics, addressing needs in different domains. To this end, contracts were planned to be placed in different Lots: Lot 1: Supporting water resilience in Europe; Lot 2: Demonstrating DestinE in the domain of food security; and Lot 3: Combining heterogeneous climate projections for climate adaptation. As result of this ITT, ECMWF awarded two contracts under lot 1 and two contracts under lot 3 to the two highest ranking tenderers of each due to exceptional value, and no contracts under Lot 3 due to unsuitable tenders. services 1000000 73000000 72000000 Service shall be performed on Contractor's premises, located either in the European Economic Area or in the Associated Countries with respect to the Digital Europe Programme, and as outlined in Article 18.1 of the EU’s Regulation 2021/694 and the Digital Europe Work Programme 2025-2027 (Annex I to C(2025)1839 final), including in the premises of international organisations of European interest and other legal entities created under EU law. anyw-eea LOT-0001 eu-funds per-exa 0 quality This is a Pass/Fail criterion Tenderer’s Financial & Legal Organisation per-exa 15 cost Price Structure and Viability per-exa 30 quality Innovation and Added-Value of the ML application per-exa 10 quality Technical Capacity of the Tenderer per-exa 25 quality Technical Feasibility and Quality of the Planned Implementation per-exa 10 quality User Engagement per-exa 10 quality Management & Contract Implementation ORG-0001 ORG-0001 Please refer to ECMWF's Procurement Debriefing and Review Procedure published at the ECMWF Suppliers webpage (https://www.ecmwf.int/en/about/suppliers ). ORG-0002 ORG-0002 false 342665-2025 false none none DE_391 Lot 1 DE_391 Lot 1 Supporting water resilience in Europe The objective of the first contract awarded under Lot 1: DestinE ML Demonstrator for Water Resilience combines Large Language Models (LLMs) and Graph Neural Networks (GNNs) with physics-based hydrological and water quality models. This hybrid system could enable users to interact with complex simulations using natural language, configure “what-if” scenarios, and receive tailored, interpretable outputs—instantly and intuitively. The "what-if" scenarios—such as changes in land use, nutrient loads, pollutant emissions, or infrastructure—will be translated into adjustments of model schematizations, model parameters, nutrient loads, and pollutant emissions. These adjustments will be used to simulate the effects on water availability, water quality (e.g., nitrogen, phosphorus, PFAS), water temperature, and/or sediment dynamics. The simulations will utilize multi-model climate change scenarios available from DestinE, enabling adaptive water resilience planning. The DT climate storyline simulations of present and future climate will be used to develop storylines to show the need and options for better water resilience. The objective of the second contract awarded under Lot 1: The contract covers the development and demonstration of an ML application that provides probabilistic forecasts of freshwater temperature extremes in the Scheldt river (Belgium) under climate change, with a focus on supporting climate-resilient energy systems and industrial cooling operations. It exploits Climate DT simulations and implements a “storylines-framework” to present plausible future heatwave scenarios and their impact on freshwater temperatures. services 350000 73000000 72000000 Service shall be performed on Contractor's premises, located either in the European Economic Area or in the Associated Countries with respect to the Digital Europe Programme, and as outlined in Article 18.1 of the EU’s Regulation 2021/694 and the Digital Europe Work Programme 2025-2027 (Annex I to C(2025)1839 final), including in the premises of international organisations of European interest and other legal entities created under EU law. anyw-eea 18 LOT-0004 eu-funds per-exa 0 quality This is a Pass/Fail criterion Tenderer’s Financial & Legal Organisation per-exa 15 cost Price Structure and Viability per-exa 30 quality Innovation and Added-Value of the ML application per-exa 10 quality Technical Capacity of the Tenderer per-exa 25 quality Technical Feasibility and Quality of the Planned Implementation per-exa 10 quality User Engagement per-exa 10 quality Management & Contract Implementation ORG-0001 ORG-0001 Please refer to ECMWF's Procurement Debriefing and Review Procedure published at the ECMWF Suppliers webpage (https://www.ecmwf.int/en/about/suppliers ). ORG-0002 ORG-0002 false 342665-2025 false none none DE_391 Lot 2 DE_391 Lot 2 Demonstrating DestinE in the domain of food security Tenders under this Lot were asked to suggest how to target the implementation of a Demonstrator that supports a clearly defined stakeholder group in their tasks linked to agricultural market information systems, food security mechanisms, or resilience planning. However, Lot 2 produced no satisfactory results. services 73000000 72000000 Service shall be performed on Contractor's premises, located either in the European Economic Area or in the Associated Countries with respect to the Digital Europe Programme, and as outlined in Article 18.1 of the EU’s Regulation 2021/694 and the Digital Europe Work Programme 2025-2027 (Annex I to C(2025)1839 final), including in the premises of international organisations of European interest and other legal entities created under EU law. anyw-eea LOT-0005 eu-funds per-exa 0 quality This is a Pass/Fail criterion Tenderer’s Financial & Legal Organisation per-exa 15 cost Price Structure and Viability per-exa 30 quality Innovation and Added-Value of the ML application per-exa 10 quality Technical Capacity of the Tenderer per-exa 25 quality Technical Feasibility and Quality of the Planned Implementation per-exa 10 quality User Engagement per-exa 10 quality Management & Contract Implementation ORG-0001 ORG-0001 Please refer to ECMWF's Procurement Debriefing and Review Procedure published at the ECMWF Suppliers webpage (https://www.ecmwf.int/en/about/suppliers ). ORG-0002 ORG-0002 false 342665-2025 false none none DE_391 Lot 3 DE_391 Lot 3 Combining heterogeneous climate projections for climate adaptation The first contract under Lot 3 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. The second contract under Lot 3 develops and demonstrates a machine-learning application for high-resolution regional dynamical downscaling of global and regional climate scenarios (using the Anemoi framework), integrated within -and trained on data from- the Destination Earth Climate DT. By combining Climate DT simulations with CMIP6, EURO-CORDEX and national climate scenarios, the contract aims to increase the size of European climate ensembles, improve uncertainty quantification, and deliver high-resolution climate information for adaptation planning across Europe. services 350000 73000000 72000000 Service shall be performed on Contractor's premises, located either in the European Economic Area or in the Associated Countries with respect to the Digital Europe Programme, and as outlined in Article 18.1 of the EU’s Regulation 2021/694 and the Digital Europe Work Programme 2025-2027 (Annex I to C(2025)1839 final), including in the premises of international organisations of European interest and other legal entities created under EU law. anyw-eea 18 2000-01-01Z