Projects
Research projects
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H SAF
EUMETSAT
Satellite Application Facility on Support to Operational Hydrology and Water Management (H SAF) ECMWF is a contributor to the core H SAF soil moisture products (see H SAF official web site) and is represented in the H SAF Steering Group and the Project Team. The ECMWF activities are centred around the development and production of scatterometer root zone soil moisture index products. The current H SAF scatterometer root zone soil moisture products produced by ECMWF are: SM-DAS-2 (H14): ASCAT near-real-time root zone soil wetness index product, 25 km resolution RZSM-ASCAT-NRT-10 (H26): ASCAT...
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EIFFEL
Horizon 2020
EIFFEL (Revealing the Role of GEOSS as the Default Digital Portal for Building Climate Change Adaptation & Mitigation Applications) will make it easier for the scientific community to explore and use GEOSS datasets .Added-value services interoperable with GEOSS will be designed, using cognitive search and metadata augmentation tools based on AI. Project objectives Creating AI-based cognitive search tools to exploit the untapped potential of available GEOSS datasets Leverage techniques of explainable AI to develop tangible indicators for CC impacts Use data fusion and stochastic modelling...
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DOMOS
European Space Agency
The Dust-Ocean Modelling & Observing Study (DOMOS) will advance the understanding of dust and ocean interactions in a changing climate through an innovative use of model and observations. The project will develop a new retrieval of dust deposition from satellite lidar data (CALIPSO and Aeolus), will validate the dust deposition field from the CAMS reanalysis and will also provide assimilation tests of IASI and Aeolus aerosol products with the goal of providing a better description of the dust aerosols, for applications in aerosol radiative impacts and ocean biogeochemistry. An improved...
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I-CHANGE
Horizon 2020
I-CHANGE (Individual Change of HAbits Needed for Green European transition) will promote the strong participation and creative role of citizens and civil society towards environmental protection, as well as changes in habits and the development of more sustainable standards. To that end, it will adopt a multi-disciplinary, participatory approach and create a set of living labs to increase the public’s awareness of the scientific processes underlying climate change. Project objectives Raise of environmental awareness through citizen science and understanding of the science behind climate change...
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LEXIS
Horizon 2020
The LEXIS project is focused on developing a large-scale HPC & Cloud BigData analytics platform to demonstrate high Technical-Readiness-Level software and infrastructure for three pilot use cases, which each have very high industrial or socio-economical impact: (1) Aeronautics (2) Weather & Climate (3) Catastrophe Alert systems. The focus will primarily be on how HPC and BigData/Cloud systems interact; how they can share data; and methods to compose workflows of tasks running on both cloud and HPC systems. For the weather & climate pilot, there are several complex workflows each consisting of...
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HIGHLANDER
EU – Connecting Europe Facility
Seeing climate change as a new opportunity is the challenge that Highlander has taken on. The Highlander project strives for a smarter management of lands, studying new sectors enabled by emerging technologies interested in reducing risks on human health, agriculture and livestock production. Through the use of High Performance Computing, the Highlander project aims to reduce risks associated with climate change by processing data and obtaining accurate climate forecasts, achieving the goal of having a more intelligent, sustainable management of natural resources and of the territory. Thanks...
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HiDALGO
Horizon 2020
ECMWF and its partners in the HiDALGO project aim to implement a platform for on-demand simulation of complex global challenges which require massive high-performance computing resources alongside state-of-the-art data analytics and visualization. The key use-cases are in the areas of human migration, urban air pollution and social networking. HiDALGO has also applied its technology to provide an agent-based model for Flu and Coronavirus Simulation (FACS) for the 2020 pandemic. The HiDALGO use-case workflows are comprised of four main components: pre-processing, numerical simulation, post...
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ESCAPE-2
Horizon 2020
ESCAPE-2: Energy-efficient SCalable Algorithms for weather and climate Prediction at Exascale ESCAPE-2 will develop world-class, extreme-scale computing capabilities for European operational numerical weather and climate prediction systems. It continues the pioneering work of the ESCAPE project. The project aims to attack all three sources of enhanced computational performance at once, namely (i) developing and testing bespoke numerical methods that optimally trade off accuracy, resilience and performance, (ii) developing generic programming approaches that ensure code portability and...
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APPLICATE
Horizon 2020
APPLICATE (Advanced Prediction in Polar regions and beyond: modelling, observing system design and LInkages associated with a Changing Arctic climaTE) The overarching mission of APPLICATE is to develop enhanced predictive capacity for weather and climate in the Arctic and beyond, and to determine the influence of Arctic climate change on Northern Hemisphere mid-latitudes, for the benefit of policy makers, businesses and society. Project Objectives Observationally constrain models using advanced metrics and diagnostics Develop enhanced weather and climate models Determine the impact of Arctic...
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AURORA
Horizon 2020
Advanced Ultraviolet Radiation and Ozone Retrieval for Applications (AURORA) is a project funded under the European Union's Horizon 2020 research and innovation programme (grant agreement No 687428). Project objectives: The primary objective of AURORA is to explore new ways of exploiting the complementary measurement capabilities of the instruments on board the Sentinel-4 and Sentinel-5 missions of Copernicus, operating on Geostationary Orbit (GEO) and on Low Earth Orbit (LEO) respectively, for near real-time monitoring of the ozone vertical profile with unprecedented accuracy. A combination...
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DORSY
European Space Agency
The DORSY project is linked to the EarthCARE mission and founded by ESA, in partnership with McGill University (CA), University of Leicester (UK) and the Centre National de la Recherche Scientifique-Laboratoire Atmospheres, Milieux, Observations Spatiales (CNRS-LATMOS, France). ESA’s EarthCARE mission aims to advance our understanding of cloud-precipitation-aerosol interactions and contribute to the improvement of their representation in numerical models. One of the key EarthCARE mission requirements is to retrieve cloud, precipitation and aerosol properties along the vertical cross-section...
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GAIA-CLIM
Horizon 2020
Gap Analysis for Integrated Atmospheric ECV CLImate Monitoring (GAIA-CLIM) The aim of the GAIA-CLIM project is to improve our ability to use ground-based observations to characterise satellite observations for a number of atmospheric Essential Climate Variables (ECVs). It will use reference quality in situ observations that are metrologically traceable to international standards (SI units) with well-characterised uncertainties. The key outcomes will be a "Virtual Observatory" facility of co-locations and their uncertainties and a report on gaps in capabilities or understanding, which shall be...
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ESA CCI Sea Level
European Space Agency
European Space Agency (ESA) Climate Change Initiative (CCI) Sea Level (SL) Sea level is a very sensitive index of climate change and variability. As the ocean warms in response to global warming, sea waters expand and, as a result, sea level rises. When mountain glaciers melt in response to increasing air temperature, sea level rises because more freshwater glacial runoff discharges into the oceans. Similarly, ice mass loss from the ice sheets causes sea-level rise. The increase of freshwater flowing into the oceans reduces its salinity, decreasing its density and affecting ocean circulation...
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PRIMAVERA
Horizon 2020
PRIMAVERA aims to develop a new generation of advanced and well-evaluated high-resolution global climate models, capable of simulating and predicting regional climate with unprecedented fidelity, for the benefit of governments, business and society in general. Project Objectives Advanced, high-fidelity models The concept of model fidelity, the accuracy with which a numerical simulation captures the behaviour of the real world, is central to PRIMAVERA, and its foundations are in process understanding. It is clear that many of the most pressing questions about regional climate change urgently...
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Earth2Observe
EU - Framework Programme
Global Water Resources Reanalysis EartH2Observe “Global Earth Observation for Integrated Water Resource Assessment” is a collaborative project funded by the European Union. The overall objective is to contribute to the assessment of global water resources through the use of new earth observation datasets and techniques. Integrating earth observations, in-situ datasets and models, the project will construct a consistent global water resources reanalysis dataset spanning at least 30 years. The resulting datasets will be made available through an open Water Cycle Integrator (WCI) data portal: the...
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S2S
Sub-seasonal to seasonal (S2S) prediction A WWRP/THORPEX-WCRP joint research project Multi-model comparisons. A possible use of the S2S database is to make comparisons between the outputs of different forecasting centres. The image shows forecasts of 2-metre temperature anomalies from five S2S models and a verification panel based on observations. The forecast starting date is 11 June 2015 and the forecast range is days 19-25. Aims To improve forecast skill and understanding on the sub-seasonal to seasonal timescale with special emphasis on high-impact weather events To promote the initiative...
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CHARMe
EU - Framework Programme
CHARMe: Characterization of metadata to enable high quality climate observations and monitoring. A major difficulty faced by users of climate data is how to judge whether the data are fit for purpose. This is a serious barrier to widening the use of climate data by non-expert users. Different users require different information, such as reports of validation campaigns, the robustness of algorithms used, etc. We term this information "Commentary" metadata. Much work has been done on producing aspects of Commentary metadata, but there is no robust and consistent mechanism to link it to the...
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MyWave
EU - Framework Programme
MyWave is an EU project running from 2012 to 2014 co-ordinated by the Norwegian Meteorological Institute The project brings together several major institutions responsible for forecasting, research and observation of ocean waves in Europe, including Météo-France (France), Helmholtz Zentrum, Geesthacht (Germany), Puertos del Estado (Spain), ISMAR (Italy), DeltaRes and KNMI (The Netherlands), and HRG (Greece). The expected outcome of the project is a unified European system for forecasts and dissemination of forecasts that includes new and improved wave physics. ECMWF is leading WP1 and has two...
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ImagineS
EU - Framework Programme
ImagineS is a collaborative project funded by the European Union. Its research and development work will support the Copernicus Global Land Service that started providing pre-operational monitoring products over land in 2014. ImagineS builds on and continues the research and development initiated in the geoland2 project to prepare for exploiting the future ESA Sentinel data in the Copernicus operational phase beyond 2014. ImagineS is also favouring the emergence of new downstream activities dedicated to monitoring crop and fodder production. Main objectives To produce multi-sensor and multi...