3271502.45 RES-0001 selec-w TEN-0001 TEN-0002 TEN-0005 TEN-0006 TEN-0004 TEN-0007 tenders 13 CON-0001 CON-0002 CON-0005 CON-0006 CON-0004 CON-0007 LOT-0001 RES-0002 selec-w TEN-0003 TEN-0008 TEN-0009 tenders 11 CON-0003 CON-0008 CON-0009 LOT-0002 TEN-0001 348831.34 209631.94 60.1 yes true true TPA-0001 LOT-0001 DE_374 Tender A TEN-0002 311022.67 159079.67 51.1 yes true true TPA-0002 LOT-0001 DE_374 Tender C TEN-0003 418760.07 155740.87 37.2 yes true true TPA-0005 LOT-0002 DE_374 Tender I TEN-0004 349902.04 58047.95 16.6 yes true true TPA-0004 LOT-0001 DE_374 Tender D TEN-0005 349916.04 123924.37 35.4 yes true true TPA-0006 LOT-0001 DE_374 Tender F TEN-0006 349536.35 227840.73 65.2 yes true true TPA-0007 LOT-0001 DE_374 Tender G TEN-0007 350000 259358.73 74.1 yes true true TPA-0008 LOT-0001 DE_374 Tender B TEN-0008 393661.52 180320.25 45.8 yes true true TPA-0009 LOT-0002 DE_374 Tender E TEN-0009 399872.42 166747.92 41.7 yes true true TPA-0010 LOT-0002 DE_374 Tender H CON-0001 2025-04-14+02:00 2025-04-15+02:00 Provision of Destination Earth Impact Sector Pilot Services - Energy ORG-0001 ECMWF/DESTINE/2024/DE_374a TEN-0001 DIGITALEU CON-0002 2025-04-14+02:00 2025-04-16+02:00 Provision of Destination Earth Impact Sector Pilot Services - Marine Safety for the Energy Industry ORG-0001 ECMWF/DESTINE/2024/DE_374c TEN-0002 DIGITALEU CON-0003 2025-05-12+02:00 2025-05-14+02:00 Provision of Machine Learning Demonstrators: FloodMIND: Machine Intelligence for flood Nowcasting to aid Decision-making ORG-0001 ECMWF/DESTINE/2024/DE_374i TEN-0003 DIGITALEU CON-0004 2025-04-14+02:00 2025-04-22+02:00 Provision of Destination Earth Impact Sector Pilot Services - Global tide and storm surge forecasts for climate resilience and maritime optimisation ORG-0001 ECMWF/DESTINE/2024/DE_374d TEN-0004 DIGITALEU CON-0005 2025-05-12+02:00 2025-05-12+02:00 Provision of Destination Earth Impact Sector Pilot Services -Pilot urban heat service ORG-0001 ECMWF/DESTINE/2024/DE_374f TEN-0005 DIGITALEU CON-0006 2025-04-24+02:00 2025-04-28+02:00 Provision of Destination Earth Impact Sector Pilot Services - SEEDS: Supporting European Farmers' Decisions in Perennial Agriculture through DestinE Solutions ORG-0001 ECMWF/DESTINE/2024/DE_374g TEN-0006 DIGITALEU CON-0007 2025-05-23+02:00 2025-05-27+02:00 Provision of Destination Earth Impact Sector Pilot Services - Pilot Services supporting weather-related extremes resilience and impact mitigation ORG-0001 ECMWF/DESTINE/2024/DE_374b TEN-0007 DIGITALEU CON-0008 2025-05-12+02:00 2025-05-21+02:00 Provision of Destination Earth Machine Learning Demonstrator - Energy Systems ORG-0001 ECMWF/DESTINE/2024/DE_374e TEN-0008 DIGITALEU CON-0009 2025-06-16+02:00 2025-06-26+02:00 Provision of Destination Earth Machine Learning Demonstrator - Enhancing Forecast Precision and Data Usability with AI-based Multi-Model Data Fusion for DestinE ORG-0001 ECMWF/DESTINE/2024/DE_374h TEN-0009 DIGITALEU TPA-0001 RMIB ORG-0003 TPA-0002 FMI ORG-0004 TPA-0004 Deltares ORG-0005 TPA-0005 HydroLogic ORG-0009 TPA-0006 VITO ORG-0006 TPA-0007 Amigo ORG-0008 TPA-0008 AIM ORG-0007 TPA-0009 DLR ORG-0010 TPA-0010 DWD ORG-0011 29 https://www.ecmwf.int/ https://procurement.ecmwf.int/ 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 procurement@ecmwf.int 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 procurement@ecmwf.int large ORG-0003 Royal Meteorological Institute of Belgium Avenue Circulaire, 3 Brussels 1180 BE100 BEL BE 0349.294.822 large ORG-0004 Finnish Meteorological Institute Erik Palmenin aukio 1 Helsinki FI-00560 FI1B1 FIN 0244664-7 large ORG-0005 Stichting Deltares Boussinesqweg 1 Delft 2629 HV NL362 NLD 41146461 large ORG-0006 Vlaamse Instelling voor Technologisch onderzoek Boeretang 200 Mol 2400 BE211 BEL 0244.195.916 large ORG-0007 Agenzia Italiana per la Meteorologia e Climatologia Viale Aldo Moro 44 Bologna 40127 ITH55 ITA 0244.195.916 sme ORG-0008 Amigo Via Flaminia 48 Rome 00196 ITI43 ITA 12600821008 sme ORG-0009 HydroLogic Stadsring 57 Amersfoort 3811HN NL350 NLD 32078787 large ORG-0010 Deutsches Zentrum für Luft- und Raumfahrt Linder Höhe Cologne 51147 DEA23 DEU VR 2780 large ORG-0011 Deutscher Wetterdienst Frankfurter Strasse 135 Offenbach 63067 DE713 DEU n/a false https://op.europa.eu ORG-0000 Publications Office of the European Union Luxembourg 2417 LU000 LUX PUBL +352 29291 ted@publications.europa.eu 00459845-2025133/20252025-07-15+02:00 2.3 eforms-sdk-1.13 9a62a9ea-062f-4225-ab4f-c085fac8cbe6 6aacaf4e-0168-46fa-a336-f2225fe5ffeb 2025-07-14Z 11:40:36Z 01 other can-standard ENG https://procurement.ecmwf.int/ int-org env-pro ORG-0001 ted-esen ORG-0000 open 527295-2024 DE_374 DE_374 Destination Earth Impact Sector Pilot Services and Machine-Learning Demonstrators ECMWF, as one of the Entrusted Entities for the Destination Earth (DestinE) initiative, invited Tenders for the provision of services aimed at the implementation of DestinE pilot services or ML-based demonstrators for selected impact sectors. The requirements are split into two Lots: (Lot 1) Impact Sector Pilot Services, comprising six sub-lots (i.e. impact sectors), and (Lot 2) Machine-Learning Demonstrators. ECMWF awarded nine contracts in total, covering a range of impact sectors, with six contracts under Lot 1, and three contracts under Lot 2. services 2200000 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 of the EU’s Regulation 2021/694 and the Digital Europe Work Programme 2023-2024 (Annex I to C(2023)8620 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 25 quality Relevance of the Pilot Service per-exa 10 quality Technical Capacity of the Tenderer per-exa 30 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 527295-2024 false none none DE_374 Lot 1 DE_374 Lot 1 Impact Sector Pilot Services Pilot Services shall meet identified user needs and demonstrate complementarity and added value vis-à-vis currently available data or national and European services (e.g. provided by national meteorological services or Copernicus services). Pilot Services shall be delivered for different impact sectors. To this end, contracts are have been placed in: Pilot Services in the energy sector; Pilot Services supporting weather-related extremes resilience and impact mitigation; Pilot Services in the agricultural sector and food security; Pilot Services for environmental or urban planning. The objective of Contract DE_374a is to co-design a Pilot Service tailored towards dynamic line rating (DLR) computations. The Pilot Service builds upon innovative research performed within the Destination Earth On-Demand Extremes Digital Twin contract (DE_330), which yields the possibility to provide high resolution weather predictions. Through a user-centric co-design approach, working closely and in concert with a Transmission System Operator (TSO), the objective of this contract is to demonstrate how this precise weather data can enhance overhead line ratings in real-time operations as well as in planning grid operations. The objective of Contract DE_374b is to implement DestinE pilot services (Lot 1) or ML-based demonstrators (Lot 2) for selected impact sectors in the energy sector, supporting weather-related extremes resilience and impact mitigation, the agricultural sector and food security, environmental or urban planning, environmental migration or other sectors. The Contractor will set up a pilot service producing flood indicators for the territory of Italy based on their existing national flood forecasting model and Extremes DT data. The principal output will be an estimate of the flood return period based on precipitation estimates, which will be communicated to Italian civil protection authorities. Their assessment of added-value will help co-develop the pilot service. The objective of Contract DE_374c is to propose a high-resolution (1 km) wave forecast system for the Barents Sea, using Extreme DT wind forcing, to improve safety and operational planning beyond current state-of-the-art models. This will enable on-demand forecasts during extreme events to support offshore decision-making and reduce operational risks. The objective of the Contract DE_374d is to develop three pilot services under Phase 2 of DestinE, focused on leveraging Extreme DT output data. It includes the implementation of a global tide and surge forecasting service, a compound flood forecasting service for the Philippines, and a global ship route optimization service. The subject of contract DE-374f is to develop a service demonstrator to help cities mitigate the risks of extreme heat and its impacts on public health, productivity, and urban infrastructure. The contract builds on VITO’s UrbSIM platform, delivering high-resolution data that can inform urban climate adaptation strategies. The objective of Contract is DE_374g is to support climate adaptation for perennial crops—starting with apples and grapes—by providing high-resolution, user-friendly climate information through co-designed tools, leveraging the DestinE components, including the Climate DT, DESP and DEDL. services 2200000 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 of the EU’s Regulation 2021/694 and the Digital Europe Work Programme 2023-2024 (Annex I to C(2023)8620 final), including in the premises of international organisations of European interest and other legal entities created under EU law. anyw-eea 24 LOT-0002 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 527295-2024 false none none DE_374 Lot 2 DE_374 Lot 2 Machine-Learning Demonstrators AI/ML-based demonstrators will develop compelling examples of the DestinE System capabilities, notably DT data and access mechanisms, being exploited by innovative ML-based techniques to enable a step-change in terms in user benefit in any sector. Three contracts were awarded covering impact sectors in Weather-related extremes resilience and impact mitigation and Energy. The objective of Contract DE_374h is to develop and implement a machine learning-based system to integrate multiple forecast model outputs into a single, optimised product. The key objective is to improve the accuracy and reliability of forecasts for critical near-surface parameters (temperature, humidity, wind). The objective of Contract DE_374e is to support the development of a Machine Learning (ML) Demonstrator with two primary objectives. First, it contributes to the DestinE co-design process by delivering a representative demonstrator showcasing the use of advanced ML applications for key impact sectors, supported by a strong community engagement and communication strategy. Second, it aims to empower the user community with the tools, methodologies, and knowledge required to meet their mandates for ensuring a safe, reliable, and clean energy supply across Europe—aligned with Nationally Determined Contributions under the Paris Agreement and the EU’s “Fit for 55” climate targets. The objective of Contract DE_374i is to set up a Machine-Learning (ML) based demonstrator that exploits DestinE Digital Twin precipitation data for improving flood predictions in the Netherlands, targeting users in water authorities, DRM agencies, and municipalities. The approach blends forecasts and nowcasts from different sources and includes a comprehensive assessment of uncertainties via ensemble methods. Results will be integrated in the DestinE Platform via an established front-end application (Geoweb). services 2200000 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 of the EU’s Regulation 2021/694 and the Digital Europe Work Programme 2023-2024 (Annex I to C(2023)8620 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