Current projects

Sorted alphabetically. Tip: Press Crtl+F for easy search in the project list. 


Arctic PASSION (Pan-Arctic observing System of Systems: Implementing Observations for societal Needs) - Horizon 2020


Project aims: Arctic PASSION will address the urgent need for coordinated and accessible Earth observation and information services for the Arctic region. Despite significant international effort in the past, elements of the current pan-Arctic observing network still remain fragmented, disconnected, or have other critical shortcomings. Our aim is to overcome these shortcomings and to advance towards a fully integrated pan-Arctic Observing System of Systems (pan-AOSS). Working under the SAON framework and in partnership with rights-and stakeholders, Arctic PASSION will strengthen international scientific observations, community-based monitoring, and Indigenous knowledge and local knowledge within an observing system. We will co-create an innovative pan-AOSS that truly represents the diverse range of needs of the different user-groups and decision makers.

The resultant pan-AOSS will provide its users with unrestricted access to the latest-available Arctic observations, including better access to Copernicus Arctic products. It will empower Arctic communities, policy makers and industries to make knowledge-based decisions. These will benefit society and support the adaptation and sustainability of the objectives of the UNFCCC, the IPCC and associated protocols.
Arctic PASSION will also fill critical gaps in observations and improve the archiving, handling and interoperability of Arctic data systems. It will use these improvements to develop and implement eight new EuroGEO Pilot Services that will support emergency preparedness, food security, and responses to climate and socio-economic changes in the Arctic.

The combination of the work performed by Arctic PASSION will provide compelling evidence to GEO to update Arctic GEOSS’ Community activity’ to the higher level of GEO ‘Regional Initiative’.  Our legacy will be a stronger European voice in Arctic observing, and a more inclusive pan-Arctic observing system that supports a prosperous, sustainable and environmentally secure Arctic.

DMI's role:
WP1 - Enhancing and unifying Arctic observation
Focus: Improve, unify, and expand existing observational networks across marine-terrestrialcryosphere-atmosphere spheres, with in-situ observations, remote sensing & CBM.
WP4 Euro GEOSS Pilot Services
Focus: Co-develop and implement 8 new, end-user driven Pilot Services and their coordinated network, focusing on climate change, reducing risk and support adaptation and sustainability.
DMI is specifically involved in:
Developing and implementing a service for ‘Community engagement in monitoring of marine noise pollution, management and advice’ (Lead Malene Simon, GCRC), jointly with local communities of NW Greenland (Qaanaaq, Savissivik, Siorapaluk, Qerqertat).
Improved safety of shipping in ice covered waters by implementation of real-time risk maps based on the IMO’s POLARIS11 risk assessment system. Co-developed with national ice-services, ship operators, insurers, and marine safety organisations.
WP8: Co-developing a unified a pan-AOSS
Focus: Synthesize outputs to provide a strong contribution to unify Arctic observations,
Copernicus services, initiate an ArcticGEOSS with SAON and the European Polar Coordination Office.

Funding: European Commission H2020 Programme for Research and Innovation

Period: July 2021 - June 2025.

Collaborators: AWI (Coordinator) and 30 other.

Participants from DMI: Steffen Olsen, Jacob Høyer, Matilde Kreiner, Rasmus Tonboe, Keld Qvistgaard.


Copernicus Marine Service for the Baltic Sea (BAL MFC)

(Link: )

(continuation of the previous project period, with same collaborators)

Project aims: To deliver and operate a robust, sustainable and state of the art ocean monitoring and forecasting service for the Baltic Sea as part of EU’s Copernicus Marine Service that covers both the Global sea and the European waters.

DMI's role: DMI plays an active role in project management, operation, service and scientific development of the Baltic Sea component of the EU's Copernicus Marine Service. DMI is the coordinator of the Baltic Sea Monitoring and Forecasting Center (BAL MFC). DMI will, among others, be responsible for a production of a new long time model re-analysis of the physical and biogeochemical conditions in the Baltic Sea. Simulations wil start back from 1980 an continue to present time. New knowledge will hopefully be gained on data assimilation and ocean and ice modeling in the Baltic Sea; resulting in improved model products for the users of  this free and open Service.

Funding:  BAL MFC is a project with 3.65 million euro contracted with MERCATOR Ocean International, France, who has been delegated the overall task by the European Commission to implement EU’s Copernicus Marine Service.  

Period: (new) December 2021 -  December 2024.

Collaborators: DMI, BSH (Germany), FMI (Finland), TalTech (Estonia) and SMHI (Sweden).

Participants from DMI:  Vibeke Huess, project leader, Jun SheIda Ringgaard, Jens MurawskiVasily Korabel

Blade-Defect Forecasting (InnovFond)

Project aims:  The aim is to develop blade defect forecast tool for seasonal repair prediction based on environment parameters at high temporal and spatial scales for 10-15 years ahead. Key environmental parameter will be used in the forecasting for operational costs in the coming repair season for blades in operation and for site specific design requirement.

DMI's role: Delivering lightning data and UV radiation data derived from archived weather model analysis and ozone data.

Funding: Innovationsfonden - Grand Solutions

Period:  1. Dec. 2019 - 31. Dec. 2021.

Collaborators: Wind Power Labs (WPL), DTU Wind.

Participants from DMI Kristian Pagh Nielsen, Nis Jepsen, Claus Petersen, Bjarne Amstrup

Blue-Action (Arctic Impact on Weather and Climate) - Horizon 2020

Blue-Action is coordinated by DMI (Dr. Steffen M. Olsen)


Project aims:
Businesses, policymakers, and local communities need to access reliable weather and climate information to safeguard human health, wellbeing, economic growth, and environmental sustainability.

However, important changes in climate variability and extreme weather events are difficult to pinpoint and account for in existing modelling and forecasting tools. Moreover, many changes in the global climate are linked to the Arctic, where climate change is occurring rapidly, making weather and climate prediction a considerable challenge.

Blue-Action evaluates the impact of Arctic warming on the northern hemisphere and develop new techniques to improve forecast accuracy at sub-seasonal to decadal scales. Blue-Action specifically works to understand and simulate the linkages between the Arctic and the global climate system, and the Arctic’s role in generating weather patterns associated with hazardous conditions and climatic extremes.

In doing so, Blue-Action aims to improve the safety and wellbeing of people in the Arctic and across the Northern Hemisphere, to reduce the risks associated with Arctic operations and resource exploitation, and to support evidence-based decision-making by policymakers worldwide.

DMI's role: DMI is involved in most aspects of the project including science coordination and project management. 

Funding: European Commission H2020 Programme for Research and Innovation.

Period: 1 December 2016 -  30 September 2021

Collaborators+40 international partners

Participants from DMI: Steffen M. Olsen, Chiara Bearzotti, Shuting Yang, Peter Langen, Torben Schmith, Tian Tian

CARRA (Copernicus Arctic Regional ReAnalysis)

Project aims: A 24-year reanalysis with the same regional model setup will be implemented and run on two complementary domains to cover the European sector of the Arctic. This will be done with the HARMONIE-AROME model running at 2.5 km resolution. The project is planned for four years duration and starts with a design and setup phase, then the reanalysis enters production in Month 20. The reanalysis dataset will be continuously updated to provide a complete 24 years time series before the end of the project. The work also includes a proof-of-concept Pan-Arctic reanalysis to be run for one year duration.

DMI's role: DMI leads WP1, the work package on system development. DMI participates in all most task within WP2, the work package on input data, and will lead the WP2 tasks 2.1, 2.2 and 2.3 on physiography, glacier input and albedo, and SST and sea ice, respectively. Additionally, DMI will be responsible for the reanalysis production (part of WP3) for one of two CARRA model domains. This domain covers Greenland, Iceland and a few of the adjacent islands in the high Arctic. will be responsible for the reanalysis production in the other domain that covers the Barents Sea, Svalbard and Northern Scandinavia. Finally, DMI will contribute to WP4 on user guidance and support, in which documentation and guidance on the available products from the service will be made.

Funding: The Copernicus Climate Change Services (C3S) programme, which is a programme initiated by the EU commission. 

Period: Sept. 2017 - June 2021. (extended to August 2021)

Collaborators: Met.NO (det norske meteorologiske institutt), DMI, SMHI, Meteo France, IMO (Veðurstofa Íslands), FMI.

Participants from DMIKristian Pagh Nielsen, Xiaohua Yang, Jacob L. Høyer, Rasmus Tage Tonboe, Ruth Mottram, Bjarne Amstrup, Kai Sattler, Mats Dahlbom, Pia Nielsen-Englyst, Emy Alerskans, Peter L. Langen

CARRA Timely Update (Copernicus Arctic Regional ReAnalysis Timely Update)

Project aims: CARRA-TU provides a near-real time update of the Arctic atmospheric reanalysis for the European arctic regions including Greenland Icesheet, Iceland and Svalbard. The project is a continuation of the production for the 30 year Copernicus Arctic Regional Reanalysis (CARRA) for the period 1991-2020. Using the Harmonie-arome based reanalysis system, high resolution reanalysis is conducted using the same system configuration, with assimilation of an unprecedented amount of in-situ observation data for the region, including those collected over the Greenland icesheet. The CARRA reanalysis also makes use of large amount of upper air observation data including satellite remote sensing.  CARRA-TU is scheduled to provide update about the regional atmospheric reanalysis with a maxmium of 3 month delay. During the CARRA-TU, work will also be done to postprocess the 30-year CARRA reanalysis to derive climate statistics to improve usefulness to climate research  community.

DMI's role: Together with, the coordinator of the CARRA-TU project, DMI is the main contributor to the CARRA-TU project and participate in all work packages. DMI leads work package on reanalysis system including tasks to ensure regular and timely observation data collection, migration of the CARRA reanalysis system to the newly established ECMWF High Performance Computation Facility, and the algorithm development for computation of climate statistics. DMI contribute with delivery of near real time high resolution sea state information combining ESA-CCI and OSISAF reprocessed sea ice cover and sea surface temperature, delivery of the ROM-SAF radio occultation bending angle data, as well as collection and quality assurance of in-situ observation data for the Greenland area by DMI, ASIAQ, GCNET and PROMICE. DMI contributes to the monthly organisation of observation data collection and preparation, the reanalysis production and monitoring fot the near real time stream.

Funding: The Copernicus Climate Change Services (C3S) programme, which is a programme initiated by the EU commission.

Period:  1 Jan 2022 - 31 Dec.2025.

Collaborators: Met.NO (det norske meteorologiske institutt), DMI, SMHI, GEUS, IMO (Veðurstofa Íslands), FMI.

Participants from DMIXiaohua Yang, Kristian Pagh Nielsen, Carlos Peralta, Bjarne Amstrup, Søren Borg Nielsen.

C3S_312b_Lot1 (Copernicus Climate Change Service)

Project aims: The Copernicus Climate Change Service (C3S) is currently building a Climate Data Store (CDS) that will provide open access to observed quality-assured climate data records. The main aim of the C3S_312b_Lot1 project is to make such climate data records, so called Essential Climate Variables (ECVs), available to the CDS.

For the current project, there is a focus on variables related to atmospheric physics. The project includes both the development of capability to generate such data records, and arrangement of brokering of data records that are already being generated, e.g., by EUMETSAT SAFs, by ESA, or by other organisations. The project also includes documentation, provision of user services, and arrangement of user workshops.

DMI's role:  to set up a system for brokering of ROM SAF gridded monthly mean humidity data records, both the currently existing reprocessed data sets and the interim data that are being updated on a regular basis. DMI's role also include various contributions to the user services, and participation in the general project team work.

Funding: Copernicus Climate Change Services (C3S), a programme under the EU commission.

Period: May 2018 - Sep. 2021.

Collaborators: DWD (lead), CNR, FUB, KNMI, CNRS/LEGOS, RMIB, SMHI, STFC-RAL, TVUK, Met Office

Participants from DMI: Hans Gleisner, Kent B. Lauritsen

C3S_312b_Lot3_Ocean (Copernicus Climate Change Service)

Project aims: The service is dedicated to the ocean ECVs that gathers Sea Level, Sea Surface Temperature, Sea Ice and Ocean Colour ECVs. It ensures the continuity for existing ECVs (SL, SST, SI) that had started under C3S 312a contract. It also addresses a new ECV; Ocean Colour. A total of 9 variables will be produces: sea level, sea surface geostrophic velocities, SST, sea ice concentration, sea ice edge, sea ice type, sea ice thickness, chlorophyll-a and remote sensing reflectance.

DMI's role: DMI is the Sea Ice ECV manager and responsible for the validation of the sea ice concentration, edge and type products along with the target requirement and GAP analysis document and the Sea Ice helpdesk.

Funding: Copernicus Climate Change Services (C3S), a programme under the EU commission.

Period: Oct. 2018 - Jun. 2021.

Collaborators: CLS (lead), Univ. of Reading, PML, UK Met Office, Met.NO, AWI

Participants from DMIEva Howe, John Lavelle, Matilde Kreiner

Copernicus-2 Marine Environmental Monitoring Services - Sea Ice Thematic Assembly Center (SI TAC)

Project aims: As part of EU’s Copernicus Marine Environment Monitoring Service (CMEMS) the Sea Ice Thematic Assembly Center (SI TAC) is responsible for the collection, processing, qualification and distribution of sea ice data products derived from radiometers (infrared and microwave), scatterometers and Synthetic Aperture Radar (SAR) satellite missions. The SI TAC produce near-real time (NRT) and delayed mode (REP) processing of Sea Ice observations (regionally and globally), required for CMEMS modelling and data assimilation as well as for other downstream applications.

DMI's role: DMI plays an active role in operation, service and scientific development of the CMEMS service. DMI delivers ice charts and iceberg products for the Greenland Waters and a combined ice and sea surface temperature product covering the whole Arctic. During the contract period DMI will further develop and improve these products eg. by utilizing the sensor capabilities of the Copernicus Sentinel-1, -2 and -3 satellites. DMI products are used by different stakeholders to monitor Arctic sea ice conditions and for data assimilation in Arctic ocean and ice models; resulting in improved model products for the users of  EU’s Copernicus Marine Service.

Funding: EU 

Period: January 2022 - December 2023.

Collaborators: (Norge, lead), DTU-Space, FMI (Finland), BAS (England) and NERSC (Norge) and others.

Participants from DMI: Matilde Brandt Kreiner (project leader), Ioanna Karagali; Jacob L. Høyer  og Jørgen Buus-Hinkler, Tore Wulf

CLAIM (Cleaning  marine Litter in the Mediterranean & the Baltic Sea) - Horizon 2020


Project aims:  CLAIM focuses on the development of innovative cleaning technologies and approaches, targeting the prevention and in situ management of visible and invisible marine litter in the Mediterranean and Baltic Sea.

Two innovative technological methods will be developed, a photocatalytic nanocoating device for cleaning microplastics in wastewater treatment plants and a small-scale thermal treatment device for energy recovery from collected litter on board ships and ports. An innovative floating boom for collecting visible litter and a method to measure microlitter on board ships (Ferrybox) will be developed. The proposed cleaning technologies and approaches prevent litter from entering the sea at two main source points, i.e. wastewater treatment plants and river mouths. Effectiveness of developed devices and methods will be demonstrated under real conditions.
Additionally, CLAIM will develop innovative modeling tools to assess the marine visible and invisible plastic pollution at basin and regional scales (Saronikos Gulf, Gulf of Lyon, Ligurian Sea, Gulf of Gabes and Belt Sea).
An ecosystems approach will be followed to evaluate the potential benefit from proposed litter cleaning methods to ecosystem services. New business models will be developed to enhance the economic feasibility for upscaling the innovative cleaning technologies, taking into account the existing legal and policy frameworks in the CLAIM countries, as well as acceptance of the new technologies by their end-users and relevant stakeholders.
The data and information produced will be made available to policymakers, stakeholders and end-users in a user-friendly format,both meaningful and tailored to each stakeholder group. CLAIM aims at the same time to raise public awareness with respect to having healthy oceans and seas, clean of litter and pollutants, and hence the importance of reducing marine (macro, micro and nano) pollution in European seas and beyond towards restoring marine ecosystems based on a circular economy.
Five different innovations in marine litter management ranging from devices preventing micro and macro-litter entering our seas to using macro litter as energy to assess their environmental impact in the Mediterranean and the Baltic seas, are at the core of the newly funded EU Horizon 2020 project CLAIM.  

DMI's role: DMI leads the workpackage on the development of innovative technologies on the monitoring and modelling of marine plastics.

Funding: European Commission H2020 Programme for Research and Innovation

Period: Nov. 2017 - Apr. 2022

Participants from DMIJun She, Jens Murawski, Jacob Woge Nielsen, Vilnis Frishfelds

COHERENT (Coastal Hazard Risk Reduction and Management)

Project aims: to develop software tools, data, and recommendations for effective coastal hazard risk reduction and management to be presented at a multidisciplinary digital platform, with focus on 4 cases, Skive, Aabenraa, Ringkøbing og Emden (Tyskland).

DMI's role: create forcing for sea level and wave models from atmospheric reanalysis, depending on user needs.

Funding: Innovationsfonden

Period: 2017 -  2021 (ext).

Collaborators: DTU, DHI, Kystdirektoratet, HZG, Smith Innovation and municipalities of Skive, Aabenraa, and Ringkøbing

Participants from DMIKristine S. Madsen, Vibeke Huess; Michael Butts.

CCI Sea Ice - ESA (Link:

Project aims: The objectives of the Sea Ice CCI are to twofold: (1) Develop and provide quality-controlled ice concentration data sets for the Arctic and Antarctic from 1979 to present based on passive microwave data and (2) Develop and provide Arctic sea ice thickness data sets based on radar altimeter data from 1993 to present.  Both datasets with the best possible validation and error characterization.

DMI’s role: Lead the work on development of ice concentration dataset.

Funding: ESA

Period: January 1st, 2012 - December 31th, 2015

Collaborators: NERSC, MET, FMI, DTU, U-Bremen, U-Hamburg, and others

Participants from DMILeif T. Pedersen project leader

Danish Climate Atlas


E-GVAP (EIG EUMEETNET GNSS Water Vapour Programme; Link: E-GVAP )

Project aims: The purpose of E-GVAP is to provide estimates of atmospheric properties based on data from ground-ground GNSS receivers (GPS is one example) in near real-time for usage in operational numerical weather prediction and general weather forecasting. The main property estimated is the zenith tropospherica delay, which contains information about atmospheric humidity. The project is based on a tight collaboration between meteorology and geodesy.

DMI's role: DMI is the coordinator of the programme.

Funding: The programme is funded by the participating national metoffices
The programme is in addition funded implicitly by the geodetic institutions
delivering zenith total delay data at no cost.

Period: April 2005 - December 2018, with third phase running 2013-17, and latest extension (jan.2019 - dec.2023 - E-GVAP 4)

Collaborators: 17 European national metoffices
17 data analysis centers determining ZTD from raw GNSS data (mainly geodetic institutions, but also a few European metoffices and NOAA). A large number of regional GNSS network operators providing raw GNSS data for the analysis centers.

Participants from DMI: Henrik Vedel

EMOD-PACE (EMODnet Partnership for China and Europe) - Horizon 2020

Project aims: EU and China both have common and different best practices in ocean governance and in sharing and managing data and data products. The overall aim of the EU EMOD-PACE project is to promote international ocean governance with China and support the implementation of global commitments by making ocean marine data and data products more easily accessible and by providing better data and data products. The overall aim can be broken down into the following more concrete objectives which will be addressed by the different project tasks described as follows:

•Establish a solid and effective working relationship between EMODnet and Chinese counterparts, in particular the National Marine Data and Information Service (NMDIS)
•Support processes related to collaboration with China with a view to improve discovery of and access to marine data and data products by establishing interoperability of data and information systems
•Support ocean-related policy objectives and policy dialogues as well as to enhance cooperation in key areas of ocean governance
•Facilitate political convergence towards a collective approach to tackling global ocean challenges such as climate change, marine litter, and environmental protection and biodiversity, in particular in the context of the Convention for Biological Diversity (CBD)
•Support the use of internationally agreed standards for marine data, both by the public and private sectors

DMI's role:  Scientific coordinator, leader of WP3 (intercomparison of EU-China ocean models for reanalysis).

Funding: European Commission H2020 Programme for Research and Innovation

Period: Feb. 2020 - Aug. 2022.

Collaborators: Seascape -Belgium (Coordinator), and 15 other partners in Europe.

Participants from DMI:  Jun She (PL), Jens Murawski, Jian Su, Kristine S. Madsen, Vasily Korabel

ERA4CS - European Research Area for Climate Services  - Horizon 2020



Project aims: ERA4CS aims at developing efficient climate services in Europe to become able to cope with current and future climate variability. ERA4CS will address the research gaps that exist between climate system science and the needs of users and decision makers. The main focus will be on planning, implementing and monitoring a joint transnational call on climate services that will support the development of better tools and methods for producing, using and communicating climate information.

DMI's role: DMI participates in preparing, launching and monitoring the joint transnational call.

Funding: European Commission H2020 Programme for Research and Innovation

Period: 1. Jan. 2016 - 31. Dec. 2021 (extended).

Collaborators45 partners from 18 European countries; project coordinated by Agence Nationale de la Recherche (ANR), France.

Participants from DMIMarianne Sloth Madsen,

ESCAPE-2 (Energy-efficient SCalable Algorithms for weather and climate Prediction at Exascale)  - Horizon 2020



Project aims: 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.

DMI's role: Peter Ukkonen will make his PhD-work on this project on developing efficient machine learning techniques for radiation computations in weather and climate models. Eigil Kass (KU) and Kristian Pagh Nielsen are supervisors.

Funding: European Commission H2020 Programme for Research and Innovation

Period:  1.Oct.2018 - 30.Sep.2021.

Collaborators: ECMWF (project coordinator), Deutsches Klimarechenzentrum GMBH, Max-Planck-Gesellschaft zur Foerderung der Wissenschaften eV, Eidgenoessisches Department des Inneren, Barcelona Supercomputing Center, Commissariat a l'Energie Atomique et aux Energies Alternatives, Loughborough University, Institut Royal Meteorologique de Belgique, Politecnico di Milano, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climitici, and Bull SAS.

Participants from DMI: Peter Ukkonen  and Kristian Pagh Nielsen

EUCP (European Climate Prediction system) - Horizon 2020



Project aims:  The overarching objective of the European Climate Prediction (EUCP) system is to develop an innovative European regional ensemble climate prediction system based on a new generation of improved and typically higher-resolution climate models, covering timescales from seasons to decades initialized with observations, and designed to support practical and strategic climate adaptation and mitigation decision-taking on local, national and global scales. The system will combine initialised climate predictions on the multi-annual timescale with longer-term climate projections and high resolution regional downscaling, using observations for evaluation. Methodologies will be developed to characterise uncertainty and to seamlessly blend the predictions and projections. Users will be engaged through active user groups. The system will be utilised with users to co-produce information suitable for European climate service activities. A set of demonstrators will show the value of this information in real-world applications with user involvement. Key outputs will include disseminating and publishing the project’s methodologies, and user-relevant data and knowledge.

DMI's role:  DMI will contributes to identifying the relative merits of climate decadal predictions based on existing global climate prediction system and exploring avenues to improve the next generation of climate predictions, demonstration of the value of EUCP system through the investigation of high impact extreme weather events using Climate Prediction-RCMs.

Funding: European Commission H2020 Programme for Research and Innovation

Period: Dec. 2017 - May 2022.

Collaborators: 16 European Institutes led by Met Office, UK

Participants from DMI: Shuting Yang, Ole Bøssing Christensen, Bo Christiansen

EuroSea (Improving and Integrating European Ocean Observing and Forecasting Systems for Sustainable use of the Oceans) - Horizon 2020



Project aims: ‘EuroSea’ brings key actors of ocean observation and forecasting together with key users of ocean observations to a consortium with unprecedented potential to design pilot observing systems at a time when a mandate for improved observation and forecast has been provided by, for instance, the G7 Future of the Ocean and the Seas, the UNFCC and the UN Agenda 2030 program.

DMI's role: DMI  is working on integration of BOOS´and HELCOM observational networks by using ocean models and assimilation technics, with Technical University of Tallinn (TTU). DMI and TTU will jointly promote Near real time delivery of ship observations from BOOS partners. DMI will generate physical-biogeochemical interim reanalysis by assimilating profile data from BOOS-HELCOM monitoring into NEMO-ERGOM system while TTU will produce tailored products on eutrophication assessment and extreme events diagnosis every quarter.

Funding: European Commission H2020 Programme for Research and Innovation

Period:  Nov.1, 2019 – Dec. 31, 2023.

Collaborators: GEOMAR (Coordinator), and 50+ other partners

Participants from DMI:  Jun She (project leader), Vasily Korabel and Jacob Woge Nielsen.

FORCOAST (Earth Observation Services for Fishery, Bivalves Mariculture and Oysterground Restoration along European Coasts) - Horizon 2020



Project aims: The FORCOAST project addresses the topic “DT-SPACE-01-EO-2018-2020 COPERNICUS MARKET UPTAKE” which seeks to foster market development exploiting the value of Copernicus Earth Observation Products. FORCOAST aims to provide information services that offer high resolution water quality and met-ocean indicators in coastal and nearshore areas, to improve operation, planning and management of different marine activities in the sectors of wild fisheries, oystergrounds restoration, and bivalve mariculture. FORCOAST information products and services will be co-designed with stakeholders, thereby ensuring that these products and services are tailored to meet their needs. The project is a joint effort of EuroGOOS Coastal Working Group, coordinated by Deltares.

DMI's role: to develop information service together with DCE/AU for Limfjord oyster restoration by using high resolution hydrodynamic-biogeochemical modelling system in Limfjord. In the Danish Pilot Case, DMI will also work with Danish Shellfish Centre (in the Advisory Group) and a SME Oyster Boat (as a partner). DMI will develop new (pre-operational) services and products that can be useful for the site selection of oyster reefs with optimal growth conditions and deliver such products for testing by the SME.

Funding: European Commission H2020 Programme for Research and Innovation

Period:  1 Nov. 2019 - 30 Apr. 2022.

Collaborators: AU, EuroGOOS (Coastal Working Group), Deltares (coordinator).

Participants from DMI: Jun She (project leader), Jens Murawski and Jacob Woge Nielsen

Research area: very high resolution hydrodynamic modelling in coastal-estuary continuum, Copernicus downstream service, marine service for Limfjorden oyster cultivation.

GHRSST (Group for High Resolution Sea Surface Temperature ) - Copernicus

GHRSST Project Office is coordinated by DMI (Dr. Jacob Hoyer and Chiara Bearzotti)

Project aims: is an open international science group that promotes the application of satellites for monitoring sea surface temperature (SST) by enabling SST data producers, users and scientists to collaborate within an agreed framework of best practice. GHRSST provides a framework for SST data sharing, best practices for data processing and a forum for scientific dialog, bringing SST to the user. GHRSST is led by elected international experts (GHRSST Science Team). The work is developed in a number of working groups, the Task Teams.

DMI's role: DMI is running the GHRSST Project Office, the coordination office supporting the smooth day-to-day working of the community. Scientists at DMI are involved in most aspects of the project (task teams) and in the science team.

Funding: European Commission, Copernicus Programme, via EUMETSAT

Period:  25 March 2021- 28 February 2025.

Collaborators: + 150 scientists working across the globe.

Participants from DMIChiara Bearzotti, Jacob Høyer, Ioanna Karagali, Pia Wind, Vivian Henningsen, Gorm Dybkjær

IEA PVPS 2020-2023 (EUDP 17-II: IEA-PVPS Task 16 Solar resource for high penetration and large scale application)

Project aims:
Photovoltaic (PV) solar energy has in recent years seen an unprecedented growth, both in terms of market penetration and size of individual systems. In Denmark the PV fraction of electricity production has in six years increased from 0.3% to 2.8% in 2018. As a result, there is a growing need for accurate and reliable meteorological information of the solar resource, a necessity for optimal integration and reliable grid operation. The aim of this project is to improve the accuracy of solar resource assessment and forecasting, as well as developing and disseminate best practices to industry.

The project involves DMI and DTU’s participation and contribution to the International Energy Agency’s (IEA) Photovoltaic Power Systems program’s (PVPS) Task 16, titled ‘Solar resource for high penetration and large scale applications.’ DMI will work on developing and improving accurate numerical weather prediction models and regional forecasts. DMI and DTU will participate in benchmarking of solar resource data, to quantify and reduce uncertainty. Furthermore, DTU will investigate how to optimally increase the solar fraction through coupling large-scale PV systems with storage technologies.

DMI's role: Project management, solar resource forecasting and data benchmarking.

Funding: EUDP

Period:  Jan. 2018 - Jun. 2023.

Collaborators: DTU Civil Engineering

Participants from DMIKristian Pagh Nielsen

JERICO-S3 (Joint European Research Infrastructure of Coastal Observatories: Science, Service, Sustainability) - Horizon 2020



Project aims: JERICO-S3 will provide a state-of-the-art, fit-for-purpose and visionary observational RI, expertise and high- quality data on European coastal and shelf seas, supporting world-class research, high-impact innovation and a window of European excellence worldwide. Through an innovative structuration, JERICO-S3 is targeting a more integrative approach to better observe the coastal ecosystem, raising up the scientific excellence and developing the potential of the different sites, with consideration of the regional and local ecosystems. The preliminary development of an e-infrastructure (VRE, Virtual Research Environment) in support to scientists and users by offering access to dedicated services will help progress on the design of the RI and its strategy for sustainability. Major user-driven improvements will be realised in terms of observing the complexity of coastal seas and continuous observation of the biology, access to facilities, data and services, best practices and performance indicators, innovative monitoring strategies, cooperation with other European RIs.

DMI's role: leading a task on assessing the integrated monitoring-modelling in the transition waters of regional seas and coastal-estuary continuum in national waters.

Funding: European Commission H2020 Programme for Research and Innovation

Period:  1 Feb 2020 – 31 Jan. 2024.

Collaborators: IFREMER (Coordinator), and others.

Participants from DMI:  Jun She

Monitoring the Ozone Layer and the Solar UV radiation in Greenland

link: DANCEA: Projektlister (

Project aims: To continue the monitoring that was started in the early 90'es in order to fulfill the danish obligations to the "Vienna Convention for the Protection of the Ozone Layer". Part of the network for the Detection of Atmospheric Compostion Change (NDACC).

DMI’s role: 
To measure the Ozone Layer and the solar UV radiation at three locations in Greenland, at Thule/Pituffik, Scoresbysund/Ittoqqortoormiut and Sondre Stromfjord/Kangerlussuaq.

Funding: Danish Environmental Protection Agency (DANCEA), Ministry of Environment.

Period: Jan 1st, 2014 –  Dec 2025 (current contract)

Participants from DMI: , Nis Jepsen, Helge Jønch-Sørensen

OSI SAF (Ocean and Sea Ice Satellite Application Facilities (SAF))

Link: )

Project aims: Project aims: For complementing its Central Facilities capability in Darmstadt and taking more benefit from specialized expertise in Member States, EUMETSAT created Satellite Application Facilities (SAFs) based on co-operation between several institutes and hosted by a National Meteorological Service.

The Ocean and Sea Ice Satellite Application Facility (OSI SAF) is an answer to the common requirements of meteorology and oceanography for comprehensive information on the ocean-atmosphere interface. One of the objectives of the OSI SAF is to produce, control and distribute OSI SAF operational products in near real-time using available satellite data. 

DMI’s role: DMI is part of the High Latitude center (in cooperation with responsible for the production and distribution of the OSI SAF Sea Ice products, in particular: global sea ice concentration, global sea ice emissivity, medium resolution ice drift, and ice surface temperature.

Funding: EUMETSAT.

Period: Mar. 2012 - Feb. 2022, CDOP-3 (Continuous Development and Operational Phase 3).

CollaboratorsEUMETSAT, MET Norway, Meteo-France, IFREMER, KNMI.

Participants from DMIRasmus T. Tonboe, Gorm Dybkjær, Jacob HøyerMatilde Brandt Jensen (DMI local manager), Rolf-Helge Pfeiffer, Lars Ørum Rasmussen, John Lavelle and Luis Vargas.

AC SAF (EUMETSAT Satellite Application Facility on Atmospheric Composition Monitoring)


Project aims: The Satellite Application Facility on Atmospheric Composition Monitoring (AC SAF)  produces, archives, validates and disseminates ozone and atmospheric chemistry products, to support the services of the EUMETSAT Member States in weather forecasting, as well as monitoring of ozone depletion, air quality and surface UV radiation.

DMI’s role: 
DMI is responsible for the production, validation and dissemination of  the Near Real Time UV index products. 

Funding: EUMETSAT.

Period: Mar 2012 – Feb 2017.   CDOP-3 :  Mar. 2017 - Feb. 2022


Participants from DMI: Helge Jønch-Sørensen

Polar Portal


Link in danish

Project aims: The polar portal communicates Arctic research and monitoring by Danish researchers to the public. Daily updated products on ice sheet, sea ice, permafrost and weather give easy and fast access to the newest knowledge.

DMI’s role: 
DMI contributes as project coordinator and with products on the Greenland Ice Sheet surface mass balance, the sea ice and Greenland permafrost. The technical development and hosting of the portal is done at DMI.

Funding: DANCEA / Danish Energy Agency

Period: Jan 1, 2013 – Dec 31, 2021(current contract)

Collaborators: GEUS, DTU-Space, DTU-Byg

Participants from DMIPeter L. LangenRuth MottramKristian P. NielsenMartin Olesen, Matilde Brandt Jensen, Gorm Dybkjær, Till Andreas Rasmussen, Rasmus Tage Tonboe, Jacob L. Høyer, Christian Rodehacke and Martin Stendel

PolarRES (Polar Regions in the Earth System) - Horizon 2020


Project aims: The overall objective of PolarRES is to provide new insights into key local-regional scale physical and chemical processes for atmosphere-ocean-ice interactions in the Arctic and Antarctic, their responses to, and influence on, projected changes in the global circulation and their implications for society and the environment.

PolarRES will zoom into the climate of both Polar regions with state-of-the-art regional climate models (RCMs), run at unprecedented resolutions, to investigate the influence of projected changes in the global circulation on the climate of the Arctic and Antarctic. Polar climates in a global context remains poorly understood and thus climate change projections in Polar regions have large uncertainties and this hampers mitigation and adaptation efforts.

PolarRES proposes an innovative ‘storyline’ approach and novel analysis methods to address these challenges. We will accomplish this by exploiting the recent CMIP6 global climate model (GCM) projections and novel developments in GCMs such as variable resolution grids. High-resolution regional projections will be co-designed with and exploited by impact modellers to produce impact-relevant projections of future climate change for both Polar regions.

PolarRES will combine these high-resolution simulations from state-of-the-art RCMs and next generation fully coupled RCMs with a comprehensive range of existing and novel observations including satellite products from relevant projects funded by the ESA Earth Observation Programme.

Funding: European Commission H2020 Programme for Research and Innovation

Period: September 2021 - August 2025.

Collaborators: NORCE  (Coordinator), and 16 meteorological institutes, universities

Participants from DMI: Ruth Mottram, Ole Bøssing Christensen, Martin Olesen,

PROTECT (PROjecTing sEa-level rise : from iCe sheets to local implicaTions) - Horizon 2020


Project aims: Sea-level rise (SLR) is one of the most damaging impacts of climate change, threatening the economy, ecology, and entire existence of coastal regions worldwide. Global-mean sea level has risen by ~8 cm since 1992, with land ice loss and ocean thermal expansion contributing equally. However, the land ice contribution is accelerating, and future SLR is set to become dominated by the highly uncertain behaviour of the Antarctic and Greenland ice sheets. The potential for rapid collapse of these ice sheets, which may already be underway, has made policymakers painfully aware of humanity’s vulnerability to ice-sheet change.
PROTECT will push SLR projections beyond the state-of-the-art and have a long-standing scientific and societal impact by (i) significantly improving our understanding and model representation of ice-sheet processes, (ii) providing a step change in modelling the interactions and feedbacks between atmosphere, ocean, and ice sheets, (iii) improving the robustness of the resulting SLR projections, with a clear propagation of uncertainties from global to regional scales, (iv) assessing the societal implications of high-end ice-sheet SLR over decades to centuries, (v) developing and mentoring the next generation of sea-level scientists. Recognizing that developing climate services for coastal adaptation is an iterative process, PROTECT will engage stakeholder knowledge from key EU states vulnerable to SLR, as well as communities from low-lying islands and the Arctic. PROTECT unifies world-leading European experts in cryospheric and climate science, sea-level change, and coastal and societal impacts. This highly interdisciplinary consortium will cover, for the first time, all relevant spatial and temporal scales governing SLR from land ice.
PROTECT will provide a solid evidence base needed to implement measures addressing the Sustainable Development Goals (SDGs) of the United Nations, the European Union Adaptation Strategy, and the UNFCCC Paris Agreement.

DMI's role:  Ruth Mottram from DMI's regional climate modeling section is Work Package leader for Greenland where the focus is climate modeling, ice cap modeling and feedback between ocean, atmosphere and ice cap.

Our part of project will concentrate on regional climate modeling and atmospheric circulation. Development of the CISSEMBEL model is also part of work to benefit coupling between atmospheric and ice cap models.

The project relates to DMI's core focus in the Arctic and sea level rise model in Greenland in relation to, for example, surface processes and feedback between regional and global circulation and surface processes. The project will expand our understanding of the importance of circulation processes in surface mass balance as well as melting and re-freezing on the surface of Greenland's inland ice.

The project will also create more collaboration between DMI and international partners in Greenland (Asiaq), Denmark (DTU) and throughout Europe with world-class research institutes and is therefore important in relation to our international cooperation.

Funding: European Commision H2020 Programme for Research and Innovation

Period:  1 Sept. 2020 -  31 Aug.2024.

Collaborators: CNRS-IGE (Coordinator), and 24 other.

Participants from DMI: Ruth Mottram, Martin Olsen, Fredrik Boberg and Christian Rodehacke

ROM SAF (EUMETSAT Radio Occultation Meteorology Satellite Apllication Facilities)

Project aims: The Radio Occultation Meteorology Satellite Application Facility (ROM SAF) is a decentralised processing centre under EUMETSAT which is responsible for operational processing of radio occultation (RO) data from the Metop, Sentinel-6 and Metop-SG satellites and radio occultation data from other missions. The ROM SAF delivers geophysical variables in near real-time for NWP users, as well as offline RO data and reprocessed Climate Data Records (CDRs) and Interim Climate Data Records (ICDRs) for users requiring a higher degree of homogeneity of the RO data sets. The CDRs and ICDRs are further processed into globally gridded monthly-mean data for use in climate monitoring and climate science applications. The ROM SAF also maintains the Radio Occultation Processing Package (ROPP) which contains software modules that aid users wishing to process, quality-control and assimilate radio occultation data from any radio occultation mission into NWP and other models.

DMI’s role: 
DMI is The ROM SAF Leading Entity, and DMI undertakes development and maintenance of the ROM SAF operational data products.

Funding: EUMETSAT.

Period:1 March, 2022 – 28 February, 2027 (CDOP-4 - Fourth Continuous Development and Operationsl Phase).

Collaborators:  ECMWF (Reading, Bologna, Bonn), IEEC (Barcelona), Met Office (Exeter), Univ Graz - Wegener Center (Graz)

Participants from DMI: Kent B. Lauritsen, Stig Syndergaard, Hans Gleisner, Johannes K. Nielsen, Anders Lind, Eva Howe and Lars Ørum Rasmussen

SHIPS4SST (International Sea Surface Temperature (SST) Fiducial Reference Measurement (FRM) Radiometer Network (ISFRN))  -  external link

Project aims: The SHIPS4SST International Sea Surface Temperature (SST) Fiducial Reference Measurement (FRM) Radiometer Network (ISFRN) sets out to develop and promote an international network of ocean and remote sensing scientists who share a particular interest in promoting and improving the use of shipborne infrared radiometers for measuring skin SST at the surface of the ocean, comparable to measurements made by satellite infrared radiometers. This includes operators, designers and builders of such instruments as well as the  user of the data.

The scope of the SHIPS4SST ISFRN activity can cover all aspects of the science and technology of shipborne radiometers used to measure SST. This includes:

•  exchange of operating advice and information that promote best practice for radiometer deployments,
•  establishing protocols for shipborne radiometry including the validation of observations traceable to NMI reference standards,
  agreeing formats for skin SST data retrieved from ship radiometers,
•  setting procedures for quality control in order to meet agreed standards of accuracy, and
•  provide a single access point of the data collected around the world.


DMI's role: to collect fiducial radiometer observations of SST along a transect from Denmark to Iceland, and perform regular validation of the Copernicus Sentinel 3 satellite SST observations.

Funding: ESA 

Period: Apr.2018 - March 2019 (with possibility for 12 months extension)

Collaborators: University of Southampton (Lead), Science and Technology Facilities Council (STFC),  and Space Connexions Ldt.

Participants from DMI: Jacob L. Højer and  Ruth Mottram


SISAWS (Seamless Integration of Sentinel-3 Albedos in a Weather-modelling System)

Project aims: To develop methods for assimilating satellite albedo data into the HARMONIE weather model.

DMI's role: DMI works on the assimilation process and with how best to represent the albedo spectrally and as a function of the solar zenith angle.


Period:  May 2021 - April 2023.

Collaborators: GEUS (Geological Survey of Denmark and Greenland)

Participants from DMIKristian Pagh Nielsen, Xiaohua Yang, Carlos Peralta

SOCHAOTIC (SOurce CHAracterizatiOn accounting for meTeorologIcal unCertainties)

Project aims: In recent years, a number of events have occurred in which anthropogenic radionuclides have been detected by radiological filter stations in a number of European countries without any knowledge on the origin of those radionuclides. In such cases, there is a need to locate potential release sites by inverse dispersion modelling methodologies. However, if the release site is actually known, or a potential release site has been localized by inverse methods as described in the NKS-B project SLIM, there is a need to estimate the radionuclide release rates from this location as a function of time, i.e. the source term, in order to quantify the total release and the atmospheric dispersion of radionuclides.

The MUD and AVESOME NKS projects have demonstrated that inherent uncertainties play a significant role for the atmospheric dispersion model results. In SOCHAOTIC, methods will be developed and applied to quantify the uncertainties of the estimated release profiles.

Two kinds of radiological monitoring networks exist, viz. filter stations and gamma stations. Filter stations detect radionuclide-specific time-averaged concentrations with high accuracy and low thresholds, however with long averaging periods (e.g. between one and seven days). Gamma stations record time-averaged gamma dose rates, in general with lower accuracy, higher thresholds compared to filter stations and no radionuclide-specific information, however with much short averaging periods (down to 10 minutes).

For operational use, nuclear decision-support systems should be extended with modules handling such monitoring data automatically, e.g. by employing the European Radiological Data Exchange Platform (EURDEP), and conveying the data together with the geographical coordinates of the release point to the national meteorological centre accompanied by a request to estimate the temporal evolution of the release rates.

In the SLIM project, methodologies have been developed to localize an unknown source of radionuclides dispersed in the atmosphere and detected by a radiological monitoring network. In the SOCHAOTIC project, we will develop methodologies, suited for operational use, that focus on characterization of source terms whose locations are known, i.e. estimate the temporal release profiles of the radionuclides detected.

DMI's role: Coordination, development of methodology using the DERMA atmospheric dispersion model, application to selected cases.

Funding: Nordic Nuclear Safety Research (NKS)

Period:  Jan 2021 - Dec.2022.

Collaborators: DEMA (Danish Emergency Management Agency), SSM (Swedish Radiation Safety Authority), STUK (Finnish Radiation and Nuclear Safety Authority), Met Norway, SMHI (Swedish Meteorological and Hydrological Institute), PDC-ARGOS Aps, FMI, DSA (Norwegian Radiation and Nuclear Safety Authority)

Participants from DMIJens Havskov Sørensen  ; Henrik Feddersen,  Kasper Tølløse


CMEMS SST TAC (Copernicus Marine Environment Monitoring Service)
(phase-2 continuation of the CMEMS OSI TAC project)

Project aims:  As part of EU’s Copernicus Marine Environment Monitoring Service (CMEMS) the Sea Surface Temperature Thematic Assembly Center (SST TAC) is responsible for the collection, processing, qualification and distribution of sea surface temperature (SST) data products derived from radiometers (infra-red and microwave) satellite missions. The SST TAC is in charge of the near-real time (NRT) and delayed mode (REP) processing of SST observations (regionally and globally), required for CMEMS modelling and data assimilation and for applications. The SST TAC consortium is lead by CNR (Italien).

DMI's role: DMI plays an active role in operation, service and scientific development of the CMEMS service. DMI deliver a sea surface temperature product covering the Baltic Sea and the Arctic. During the contract period DMI will further develop and improve these products eg. by extending the products time series (REP) and utilizing the sensor capabilities of the Copernicus Sentinel-3 satellite. DMI products are used by different stakeholders to monitor ocean state and for data assimilation in global and regional ocean models eg. the BAL MFC model; resulting in improved model products for the users of  EU’s Copernicus Marine Service.

Funding: In the CMEMS SST TAC project, DMI is contracted with CNR (Italien) by 269.500 euro. CNR leads the SST TAC consortium and is contracted with MERCATOR Ocean who has been delegated the overall task by the European Commission to implement EU’s Copernicus Marine Service.

Period: Jan. 2018 - Mar. 2021.

CollaboratorsCNR (Italien) coordinator , METEO-France, Ifremer (Frankrig), UK Met Office (England)

Participants from DMI: Jacob L. Høyer and Pia Nielsen-Englyst

Water Smart Cities (WSC)

Project aims: WSC will develop hydrological forecasts for usage by the utilities (waste water handling institutions) on the short and medium term (hours to several days) by integrating numerical models of the urban water system with sensor networks, weather forecasts, coastal/ocean forecasts and optimization techniques. In addition WSC will develop planning models, enabling assessment of the impact of specific, long term, city developments on flooding risks and the cost of mitigation, for usage in urban planning.

DMI's role: DMI will provide 4 types of precipitation and dry period forecasts:

1) DMI Radar-based nowcasting, 0-3 h.

2) DMI NWP nowcasting, 0-12 h.

3) DMI NWP ensemble, 0 - 48 h.

4) ECMWF ensemble, 0 - 10 days.

During the course of the project, DMI will improve the first 3 forecast types, through use of more observations and NWP model developments.