As the civil oceanography focal point in Denmark, DMI’s oceanography team carries out active research on ocean modeling, remote sensing and marine service. The spatial-temporal scales cover global, European, regional and local scales with focus on Arctic/Greenland/Faroe Island, Baltic-North Sea and Danish waters, ranging from synoptic scale forecast to climate projections. DMI’s oceanography research is knowledge-based and service-driven, aiming at solving challenges in providing high quality marine service on marine forecasting, storm surge warning, marine navigation, offshore oil and gas exploitation especially in ice-infested waters, offshore wind energy, marine climate change and coastal adaptation and mitigation, and supporting oil spill combating and management of marine resources etc.
DMI is also one of the leading institutes in European operational oceanography through active cooperation in the Regional Operational Oceanographic System (ROOS) networks (BOOS, NOOS, ArcticROOS and EuroGOOS).
AtlantOS (integrated Atlantic Ocean Observing System) - www.atlantos-h2020.eu
Project aims: The vision of AtlantOS is to improve and innovate Atlantic observing by using the Framework of Ocean Observing to obtain an international, more sustainable, more efficient, more integrated, and fit-for-purpose system. Hence, the AtlantOS initiative will have a long-lasting and sustainable contribution to the societal, economic and scientific benefit arising from this integrated approach. This will be achieved by improving the value for money, extent, completeness, quality and ease of access to Atlantic Ocean data required by industries, product supplying agencies, scientist and citizens. The overarching target of the AtlantOS initiative is to deliver an advanced framework for the development of an integrated Atlantic Ocean Observing System that goes beyond the state-of –the-art, and leaves a legacy of sustainability after the life of the project.
H2020 AtlantOS is coordinated by GEOMAR Helmholtz Centre for Ocean Research Kiel, Germany.
DMI's role: In situ observations of sea-surface temperature (ISAR), ship of opportunity, uncertainty estimates.
CCI Sea Ice - ESA (Link: www.esa-cci.org)
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.
Period: January 1st, 2012 - December 31th, 2015
Collaborators: NERSC, MET, FMI, DTU, U-Bremen, U-Hamburg, and others
Participants from DMI: Leif T. Pedersen project leader
CoDEC (C3S_422_Lot2 CoDEC – ECMWF Copernicus Procurement)
Project aims: To deliver a climate change operational data service for the european coasts, where the user can see "climate impact indicators" for their coastal area.
DMI's role: To select propagation for waterstand and wave models from atmospheric reanalysis and climate models and test downscaling with Harmonie (NEA) for selected storms. And to make a case for Køge Bay, with water modeling (HBM) and waves (WAM) under selected storms / storm floods in the Baltic Sea, in ongoing dialogue with the Coastal Directorate, which is associated with the project as a user.orecasting of weather dependent road conditions, in particular the formation of ice.
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.
DABAI(Danish Center for Big Data Analytics driven Innovation)
Project aims: The overall aim is to make Denmark a pioneer in exploiting the full potential of big data. A group of Danish IT companies with Big Data competences, as well as government institutions representing a range of public authority interests will develop general techniques and tools for Big Data analytics to be applied within a broad range of domains. The work in the partnership will be driven by practical cases with a large business and societal potential. The initial cases will be within Societal Data, Educational Data, and Food Supply Chain Data.
DMI's role: DMI participates in a case study on modelling of flooding from storm surges on the coasts of Denmark. Period: 2017-2019. Collaborators: For the case study, we collaborate with Aarhus University and Scalgo.
Defrost (Link: www.ncoe-defrost.org)
Project aims: The aim of DEFROST (Impact of a changing cryosphere - Depicting ecosystem-climate feedbacks from permafrost, snow and ice) is to understand how climate change induced changes in the cryosphere influence the ecosystem/geosphere processes which directly affect climate. We will focus on key terrestrial, lacustrine and marine cryospheric components that have the potential for giving rise to substantial changes in climate feedback mechanisms both in terms of surface-atmosphere energy exchange and exchanges of greenhouse gases. DEFROST seeks to bridge existing gaps between climate modeling, cryospheric science, and Arctic ecosystem science.
DMI’s role: Improved parameterisation of permafrost, snow and ice related processes is being incorporated in the existing Regional Climate Models RCA (Sweden), HIRHAM (Denmark) and later in HARMONIE (International). The impact on changes in regional cryospheric/climate scenarios is investigated, beneficial also to the DEFROST user community and in terms of impacts and adaptation, by a provision of more elaborated regional scenarios. A novel element is the implementation of a sub-sea permafrost model in the HIRHAM-HYCOM coupled system for the Arctic based on the GIPL permafrost model develop in UAF in Alaska
Funding: Nordic Top-level Research Initiative (TRI)
Period: Sept. 1 2010 – Aug. 31, 2015.
Collaborators: Lund University, University of Helsinki, University of Eastern Finland, Stockholm University, The University Centre in Svalbard, UNIS, Swedish Meterorological and Hydrological Institute, AarhusUniversity Denmark, Greenland Institute of Natural Resources, Danish Meteorological Institute
Project aims: Efficiensea2 aims at providing a communication frame work - the "Maritime Cloud" which will enhance information sharing in and around the maritime sector for smarter offshore traffic management. This will be used to improve e-navigation which will benefit safety, emissions, delays etc.
DMI's role: DMI will provide and develope the met-ocean data for Arctic and Baltic seas. This includes ice charts, ice bergs and forecast of a variety of ice/ocean parameters. The data will be included into the maritime cloud.
eSurge (Link: www.storm-surge.info/esurge-consortium)
Project aims: To increase the use of satellite observations for storm surge applications. The project is assessing ocean model nowcasting and forecasting skills for storm surges in a test area (the North Sea and Baltic Sea) by combining a number of real time data sets, such as altimeter data and tide gauge data, with ocean forecast models to provide best estimates using data-assimilation techniques and best forecasts.
DMI’s role: DMI has developed a new method of blending sea level observations from altimetry and tide gauges. This combines the high temporal resolution and real-time availability of tide gauges with the spatial cover of satellite altimetry, providing a nowcast of sea level based on observations. This product is then assimilated into DMI's ocean model covering the North Sea and the Baltic Sea. The model nowcast and forecast skills of the assimilated runs are compared to the non-assimilated runs. The impact of the assimilation will be assessed and disseminated in a report.
EUCISE2020 - ΕU Common Information Sharing Environment 2020
Project aims: EU CISE 2020 aims to be a significant step forward along the accomplishment of the European roadmap for CISE (Common Information Sharing Environment). Under the guidance of a Stakeholder Board, EU CISE 2020 partners will manage in parallel the elaboration of the action plan for the operational validation of new elements of R&D needed to develop CISE by in the 3 out of the 4 inter-operability layers of the European Interoperability Framework: technical. Semantic, organizational, the development of an open European test bed for incremental advancement of CISE in the medium-long term, the independent Verification & Validation of the new elements of R&D, as well as the assessment of organizational instruments necessary to sustain the appropriate governance structure and to stimulate public-private cooperation.
DMI's role: Based on Copernicus Marine Service products and DMI's own operational products and R&D activities, DMI will provide innovative value-added METOC products for the maritime surveillance. There are potentials to develop ensemble forecasting and pan-European forecast products under the project framework.
Funding: EUCISE2020 is a FP7 project with a total budget of 12 million euro.
Period: December 1st, 2014 - June 30th, 2017.
Collaborators: SAI, Mecator-Ocean, INGV, NERSC, UoC and Member State responsibles for marine securities.
Globtemperature (Link: www.globtemperature.info)
Project aims: DMI will perform a user case study where satellite ice surface temperature will be assimilated into the HYCOM model to assess the improvements of using satellite Ice Surface Temperature (IST) observations.
DMI’s role: DMI will perform a user case study where gridded and merged satellite ice surface temperature (IST) will be developed and assimilated into the HYCOM-CICE model. The experiments will be validated to assess the improvements of using satellite IST observations.
Period: Jan. 1st, 2014 - Dec. 31th, 2017
Collaborators: University of Leicester, University of Reading, Instituto Português do Mar e da Atmosfera (IPMA), Institute for Meteorology and Climate Research - Atmospheric Trace Gases and Remote Sensing KIT, ACRI-ST, UK Metoffice, Estellus and University of Copenhagen.
Participants from DMI: Jacob L. Høyer project leader
GMES-PURE (Link: gmes-pure.eu)
Project aims: GMES-PURE project defines and implements a transparent process for user involvement in the definition of long-term requirements for the Copernicus Marine and Atmosphere Services. The process covers the definition of user requirements, but also the derivation of service specifications, service data requirements and technical requirements on the observation infrastructure.
The project is based on a user-driven method, which consists of two main features:
1. continuous and broad user involvement, and
2. consensus seeking at all stages.
The process was successfully applied by EUMETSAT to its future satellite programmes, and an extension is sought to address the additional complexity of the Copernicus Marine and Atmospheric user communities.
The project will further develop the results of the previously organized EC user consultation meetings for the GMES M&A Services (GMES Implementation Groups, etc.). In particular, these results will be further consolidated through specific user workshops and domain expert reviews, for the EC final approval involving the GMES User Forum.
The project is led by EUMETSAT, providing project coordination and the process for requirements engineering from the identification of needs to the requirement validation.
DMI’s role: DMI works on the service gap analysis and service data specification. In the service gap analysis, DMI will compare the user requirement documents for Copernicus Marine Service and MyOcean2 Service catalogue, to identify gaps in mid- and long-term on parameters, resolution, temporal and spatial scales and quality etc. Based on gap analysis, more detailed service data requirements will be specified and documented.
Project aims: GUDP-VIND (Dynamiske brugerstyrede havkort til værdiløft af dansk industrifiskeri) is a Danish development and demonstration project. It aims to provide an operational service for industrial fishery through integrating existing operational weather and oceanographic service at DMI with monitoring activities in research institutes such as DTU-Aqua and fishery associations (five fishery vessels will provide in-situ measurements of zooplankton and fish catch).
DMI's role: DMI is a product generator and provider as well as a developer together with DTU-Aqua to improve the products especially the biogeochemical products through data assimilation to generate and provide operational products needed for the fishery service. DMI will provide operational analysis/forecast products in the North Sea on surface weather, waves, 3D ocean and biogeochemical states. DMI will also develop value-added products together with DTU-Aqua.
Project aims: The main objective of the HRWS project is to evaluate existing and demonstrate two potential new Sentinel-1 operation modes according to the HRWS (High Resolution Wide Swath) SAR operational specifications. The new modes are the full polarimetry and the wide swath and high resolution mode. Both new capabilities will be in addition to the current operation mode available at an HRWS system. With the new operation mode concept, all GMES services will profit with an improvement of the product quality, and new innovative application can be added into the list.
DMI’s role: DMI's role is to provide input and evaluate results of the demonstrations with respect to sea-ice applications.
Period: April 1st, 2014 - December 31th, 2015
Collaborators: DLR, DTU, Astrium,
Participants from DMI: Leif T. Pedersen, project participant
ICE-ARC (Link: www.ice-arc.eu)
Project aims: The ICE-ARC project aims to understand and quantify the multiple stresses involved in the change in the Arctic marine environment. Particular focus is on the rapid retreat and collapse of the Arctic sea ice cover and to assess the climatic (ice, ocean, atmosphere and ecosystem), economic and social impacts of these stresses on regional and global scales.
DMI’s role: Ocean processes: ocean mixing and stratification, freshwater fluxes and fjord processes. Ice mass balance buoys for dynamics and thermodynamics, sea ice multisensory monitoring.
ICEMAR (Link: www.icemar.eu)
Project aims: ICEMAR will establish a pilot service delivering sea ice information products directly to ships navigating near or in ice-infested waters in the European Arctic and Baltic Sea.
The overall objective of the ICEMAR project is to establish a pilot down-stream GMES sea ice information service to improve access to existing and new ice information products to aid ships navigating near or within ice-infested waters in the European Arctic (primarily the Greenland and Barents Seas) and the Baltic Sea.
DMI’s role: Consultants on ice information services and supplier of digital ice charts and satellite images.
Funding: EU FP7
Period: Dec, 22th, 2010 - Dec. 22, 2014
Collaborators: KSAT, met.no, SMHI, FMI, BAS, KMA, BSH, VTT, NERSC, Astrium
Participants from DMI: Leif T. Pedersen project leader
Jerico (Link: www.jerico-fp7.eu)
Project aims: The project is aiming at providing a reliable valuation to the existing monitoring and observational systems for the European seas. The project is also purposed to form scientific guidance to optimize the existing monitoring and observational systems and to design additional new systems.
DMI’s role: DMI’s role: DMI is responsible for the Baltic Sea. We use data assimilation to evaluate how much the observational systems of T-S profiles and SST can improve the model products. We also evaluate how the new observational system of gliders should be applied in the Baltic Sea.
Marine climate effects on primary production around the Faroe Islands
Project aims: To explore the hydrographical settings and especially the dynamics of the mixed layer (ML) around and on the Faroe shelf. Study the depth and timing of the ML and the relative role of tidal mixing, air-sea heat exchanges and horizontal advection.
DMI’s role: Supervisor of PhD student.
Mona Lisa 2 (Link: www.monalisaproject.eu)
Project aims: MONALISA 2.0 is a concrete step in the process of further developing the Motorways of the Sea concept by implementing concrete pilot actions and studies that will foster deployment of new maritime services and processes.
DMI’s role: to develop and provide operational meteo-ocean forecast products and their uncertainties for e-navigation (e.g., route optimization) in European regional seas. Major challenges are to provide high quality and high resolution forecasts in pan-European Seas incl. all narrow straits linking the Seas as well as their uncertainty estimates. DMI's approach is to use a pan-European sea set up (with 10 two-way nested areas) of DMI ocean-ice model HBM to resolve the spatial resolution and coverage problem and to use ensemble method to resolve the uncertainty estimation issue. Both are frontier research in operational oceanography. The forecasting method and skills developed in MONALISA2.0 are also applicable in many other service areas.
Funding: co-financed by TEN-T under the Motorways of the Sea. The total budget of MONALISA 2.0 amounts 24 million Euros, and the implementation period of the project is 2013-2015.
Period: September 1st, 2013 - December 31th, 2015
Collaborators: The MONALISA 2.0 consortium consists of a large number of public, private and academic partners which together constitutes a balanced, relevant and competent partnership in order to implement the project in an efficient way.
Participants from DMI: Jun She project leader.
MyOceanFO (Link: www.myocean.eu)
Project aims: To deliver and operate a rigorous, robust and sustainable Ocean Monitoring and Forecasting system of the Copernicus Marine Environment Monitoring Service to users for maritime safety, marine resources, marine and coastal environment and climate, seasonal and weather forecasting. It is a continuation of MyOcean 2.
DMI's role: DMI plays an active role in project management, operation, service and science. As part of MyOcean Board and Execom, DMI is involved in MyOceanFO technical and overall management. During the project period, DMI maintains the Version 4 System production and services for the Baltic MFC and SST/Sea Ice TAC to provide operational products of physical and biogeochemical forecast in the Baltic Sea and sea ice and iceberg products in the Arctic region with focus on Greenland waters. The next version (V5) systems of the Baltic MFC and SST/sea ice will be developed, calibrated and implemented furing the project period. Improvements are expected on data assimilation, ice model and biogeochemical model for the Baltic Sea and new sea ice and iceberg products with using Sentinel-1 data.
Funding: MyOceanFO is a H2020 project with 6 million euro contribution from EC.
Period: October 1st, 2014 - March 31th, 2015
Collaborators: MyOceanFO consortium is formed by about 60 partners, including major national operational oceanography agencies, universities and SMEs.
Participants from DMI: Jun She projects leader
MyOcean 2 (Link: www.myocean.eu)
Project aims: The main objective of the MyOcean2 project is to deliver and operate a rigorous, robust and sustainable Ocean Monitoring and Forecasting system of the GMES Marine Service (OMF/GMS) to users for all marine applications : maritime safety, marine resources, marine and coastal environment and climate, seasonal and weather forecasting.
DMI’s role: DMI actively contribute to MyOcean2 in management, operation, service and science. As part of MyOcean Board and Execom, DMI is involved in MyOcean2 technical and overall management. DMI's major contribution in production and service is in SST TAC (OSITAC) and Baltic Monitoring and Forecasting Centre (MFC). DMI has been Baltic MFC leader for last 10years in MERSEA, MyOcean and MyOcean2. Jointly developing the Baltic forecasting system HBM-ERGOM with BSH and FMI, DMI maintains and implements the Baltic forecasting system repository. In OSITAC, DMI contributes to the production and service of ice drift, ice surface temperature in Arctic, high resolution SST in Baltic and ice chart, iceberg density in Greenland waters. DMI contributes to advanced remote sensing algorithms on SST, IST and ice drift, and also ocean-ice modeling and data assimilation technology.
Funding: MyOcean2 is a FP7 project, with 28 million euro contribution from EC.
Period: April 1st, 2012 - September 30th, 2014.
Collaborators: MyOcean2 consortium is formed by about 60 partners, including major national operational oceanography agencies, universities and SMEs
Participants from DMI: Jun She project leader. Gorm Dybkjær, Jacob L. Høyer, Jacob Woge, Jens Murawski, Jørgen Buus Hinkler, Leif T. Pedersen, Matilde B. Jensen, Ole Krarup, Per Berg, Tian Tian, Vibeke Huess and Zhenwen Wan.
NAACOS (Link: www.naacos.dk)
Project aims: The overriding objectives of NAACOS has been to develop and refine oceanographic models using remote sensing and observations to evaluate the impact of high latitude climate change on circulation, deep water formation, sea-ice and carbon flux and their implications at regional scales. To this end, this project is putting in place multi-disciplinary, knowledge-based tools and models that can reduce the uncertainty of and directly contribute to sound and robust policy strategies regarding the expected increase in maritime activities in northern seas.
DMI’s role: Climate modeling and process studies related to the ocean exchanges with the Arctic Mediterranean. Particular focus is on the Arctic Ocean freshwater and the arctic stratification. A separate task relate to deployment of ice mass balance boys.
Funding: The Danish Council for Strategic Research.
Period: December 1st, 2010 - December 31th, 2014.
Collaborators: DTU Aqua, Danish Meteorological Institute, Danmarks Miljøundersøgelser - AU, KU Facuty of Science, DHI, Faroe Marine Research Institute, Scottish Association for Marine Science
Participants from DMI: Steffen M. Olsen project leader
NACLIM (Link: www.naclim.eu)
Project aims: The North Atlantic Ocean is one of the most important drivers for the global ocean circulation and its variability on time scales beyond inter-annual. Global climate variability is to a large extent triggered by changes in the North Atlantic sea surface state. The quality and skill of climate predictions depends crucially on a good knowledge of the northern sea surface temperatures (SST) and sea ice distributions. On a regional scale, these parameters strongly impact on weather and climate in Europe, determining precipitation patterns and strengths as well as changes in temperature and wind patterns. NACLIM aims at investigating and quantifying the predictability on interannual to decadal time scales of the climate in the North Atlantic/European sector related to North Atlantic/Arctic Ocean surface state (SST and sea ice) variability and change.
DMI’s role: To quantify the uncertainty of state-of-the-art climate forecasts by evaluating the ability to model the most important oceanic and atmospheric processes in the North Atlantic and Arctic Oceans by comparing key quantities with observations.
NORTH - NORthern constraints on the Atlantic ThermoHaline circulation
Project aims: To assess the fundamental structure and operation of the Atlantic thermohaline circulation's northern limb and thus constrain its mean state, variance and sensitivity related to observed and projected climate change including possible feedbacks.
DMI’s role: To construct analytical models of northern THC that account for its observed structure, constrain variance and identify possible ocean feedbacks.
Funding: Network activities only.
Period: January 1st, 2014 - January 1st, 2018.
Collaborators: Lead Tor Eldevik (UiB), co-leader Peter M. Haugan (UiB); partners University of Bergen (UiB, coord.), University of Stavanger (UiS), Institute of Marine Research (IMR), Nansen Environmental and Remote Sensing Center (NERSC), Uni Research (uni); Danish Meteorological Institute (DMI), Finnish Meteorological Institute (FMI), Stockholm University (SU), University of Washington (UW), Woods Hole Oceanographic Institution (WHOI)
Participants from DMI: Steffen M. Olsen project leader
OPEC (Operational Ecology) (Link: marine-opec.eu)
Project aims: The OPEC project (Operational Ecology) develops a new generation of operational marine ecosystem forecast tool. The EU-granted project targets at the development for the Black Sea, the Mediterranean Sea, the North-East Atlantic Sea, and the Baltic Sea. DMI, along with DTU-AQUA and DMU, is responsible for the Baltic Sea. The project is coordinated by Plymouth Marine Laboratory.
DMI’s role: The lower trophic level in the Baltic Sea.
Funding: EU PF7.
Period: January 1th, 2012 - December 31th, 2014.
Collaborators: SMHI SE-601 76 Norrköping Sweden, Brockmann consult GMBH, PML applications Ltd, HCMR Hellenic Centre for Marine Research, OGS Instituto Nazionale di Oceanografia e di Geofisica Sperimentale and DTU Danmarks Tekniske Universitet.
(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 Environment Monitoring Service(CMEMS) 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 CMEMS service. DMI is the coordinator of the Baltic Sea Monitoring and Forecasting Center (BAL MFC). During the 1st half of the contract period DMI will further deliver the forecast product for the physical and biogeochemical conditions in the Baltic Sea. During the 2nd half of the contract period DMI will focus on new model simulations of the physical and biogeochemical conditions in the Baltic Sea for the latest 25 years. 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 EU’s Copernicus Marine Service.
Funding: CMEMS BAL MFC is a project with 4 million euro contracted with MERCATOR Ocean, France, who has been delegated the overall task by the European Commission to implement EU’s Copernicus Marine Service.
Period: (new) January 1st, 2018 - March 31st. 2021
Collaborators: DMI, BSH (Germany), FMI (Finland), MSI (Estonia) and SMHI (Sweden).
OSI SAF (Link: www.osi-saf.org )
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 met.no) 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.
Period: Mar. 2012 - Feb. 2017 (Continuous Development and Operational Phase 2).
Collaborators: EUMETSAT, met.no, Meteo-France, IFREMER, KNMI.
P-TEP (Polar Thematic Exploitation Platform)
Project aims: P-TEP is an ESA project that focus on easy access to polar earth observation data including Sentinel1 data. The aim is to allow users to process data without downloading. The pilot project for the portal evolves around icebergs from calving off the western Greenlandic coast to iceberg detections and forecast of ice berg trajectories.
DMI's role: DMI provides historical data from waves, ocean, sea ice and atmosphere in order to force the iceberg trajectories. In addition output from PISM is provided to describe the current and future development of calving of glacial ice of the Greenlandic west coast. At last DMI is wp lead of the pilot project.
Period: May 2015 - Dec. 2017.
Collaborators: BAS, Polar view, AWST, DTU, S&T, Canadian ice Serve, C-Core, International Ice patrol, FMI, Hickling Arthurs Low Corporation, SAC
Participants from DMI: Till Rasmussen, Christian Rodehacke
Project aims: The aim of Polar Ice is to develop a next generation sea ice information service by integrating and building on a wide range of existing European and national funded activities which incorporate many of the required components. Considerable investment has enabled development of key parts of a complete sea ice service chain. Polar Ice will link these together, fill known gaps and ensure a robust operational service.
DMI’s role: Delivery of ice forecasts and ice pressure products.
Period: January 1st, 2014 - December 31th, 2015.
Collaborators: eOsphere, BAS, DMI, PolarView, FMI, VTT, NR, MET, DTU, U-Bremen, KSAT, C-Core.
Participants from DMI: Leif T. Pedersen and Till Rasmussen
Polarview 2 (Link: www.polarview.org)
Project aims: Polar View is an international consortium providing a wide variety of earth observation products that monitor the Polar Regions and mid-latitude areas affected by ice and snow. The Polar View team includes government agencies, research institutes, system developers, service providers and end users from 17 countries. Created in 2005, Polar View provides a wide variety of earth observation products that monitor sea ice cover, glacier runoff, snow cover, snow melt, icebergs, river ice and lake ice.
DMI’s role: DMI delivers ice charts and satellite images.
Funding: ESA, Private.
Period: 2005 – ongoing.
Collaborators: eOsPhere, C-Core, BAS, HAL, DTU, MET, SMHI, FMI and others
Participants from DMI: Leif T. Pedersen project leader
Project aims: The project is focused on establishing linkages between physical and biological oceanographic processes related to the eel spawning and larval feeding, growth and drift. Using a unique cross disciplinary approach, the project is expected to reveal the controlling factors that make this region so suitable to spawning and herby improve our understanding of potential climate influence on recruitment to the eel population.
DMI’s role: DMI will assist in guiding the research vessel during the cruise. In addition, DMI will develop frontal detection algorithms to study the seasonal and interannual changes in the physical conditions and link these changes to variations in the eel population.
SOROS HF Radarproject (Link: danish (external))
Project aims: The project investigates the feasibility of a common Scandinavian HF radar system for monitoring the surface currents in Skagerrak area. Partners in the project are SMHI, Met.no and DMI. A test system consisting of two HF radars will be hired for a period of a few months and set up in summer 2014. The test system consists of two mid-range HF radars and covers a small area of Skagerrak and Kattegat. Measured surface currents will be validated against drifters.
DMI’s role: DMI has explored the possibilities for setup a HF radar on Danish soil to partly cover Skagerrak. Similar efforts have been done in Norway by Met.no and in Sweden by SMHI. DMI will together with Met.no and SMH validate the test system to be setup in summer 2014. DMI will have access to the HF radar data and drifter data. Apart from this, the three institutes are planning common development of assimilation routines.
S3vt-fa (Link: www.osi-saf.org)
Project aims: In situ Sea Surface Temperature measurements are very scarce at high latitude where satellite SST retrievals are particularly challenging. This project will provide detailed SST cal/val results for high latitudes during the Sentinel-3/SLSTR cal/val phase. This will be achieved through development and exploitation of a dedicated Sentinel-3/SLSTR MatchUp DB.
DMI’s role: Provide collocated Thermal-InfraRed radiometer data from the DMI-ISAR radiometer instrument operating on a Royal Arctic Lines vessel between Denmark and Greenland. The matched-Up DMI-ISAR and S3/SLSTR SST measurements will subsequently be exploited. The cal/val results will hereafter constitute a reference SLSTR matchup data set for high latitude SST due to the unique quality of the DMI-ISAR measurements.
Project aims: Dynamic forecasting of flooding on land from storm surges. During the project, the DMI storm surge model will be coupled with the DHI inundation model, and two areas have been selected as test areas: Roskilde Fjord and Copenhagen. The coupled model will also be used for future scenario simulations.
DMI's role: DMI will participate in the model coupling, host the DHI inundation model and contribute to simulations of future scenarios and to the development of an user interface.