In addition DMI hosts the project's data archive. Participants from DMI: Jens Hesselbjerg Christensen (PI and grant holder at DMI), Martin Stendel, Ruth Mottram, Christian Rodehacke, Peter Langen and Shuting Yang. But in the last five years, water from the melting ice sheets and mountain glaciers has become the main cause of the rising oceans. 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. Global climate variability is to a large extent triggered by changes in the North Atlantic sea surface state. To investigate interactions and feedback mechanisms between atmosphere, ocean, land surface and ice on a larger scale, we also operate Global Climate Models. Participants from DMI: Cathrine Fox Maule and Ole Bøssing Christensen, SAMAR - Short and long term ablation modelling based on Automatic Weather Station data and Regional Climate Model. 3 PhD positions will form a central contribution to the project, but substantial funding is allocated to permanent staff at DMI. The objectives of the project are defined as follows: Improved parameterisation of SEB in HIRHAM and apply the model to Icelandic glaciers using the PISM Ice Sheet model coupled to HIRHAM. DMI’s role: DMI will contribute to the project with better representation of the surface mass balance of Greenland ice sheets and better simulation of the ice sheet changes in future, using global and regional ESMs (i.e., EC-EARTH and HIRHAM) and their coupled system with the Greenland ice sheet model (PISM). DMI is subcontractor. It brings together climate researchers and scientific computing experts in Nordic countries to develop eScience tools needed for more efficient use of experimental and model data, and to improve the computational efficiency and coding standards of ESMs and of the tools used for inverse modeling of emission fluxes. Are you sure you want to delete this comment? 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. National Environmental Institute, Aarhus University. Ice sheets melting at ‘worst-case scenario’ rate, Greenland lost 1 million tonnes of ice for each minute of 2019, The looming climate disaster that no one is talking about, Scientists warn of rapid melting of Antarctica’s ‘Doomsday glacier’, You may not agree with our views, or other users’, but please respond to them respectfully, Swearing, personal abuse, racism, sexism, homophobia and other discriminatory or inciteful language is not acceptable, Do not impersonate other users or reveal private information about third parties, We reserve the right to delete inappropriate posts and ban offending users without notification. 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. af klimaparametre for udvalgte klimascenarier og tidhorisonter (, using available high-resolution climate model runs within CORDEX (EUR-11), Aarhus Vand (AAV), Aalborg Univesitet (AAU), NIRAS. This involves taking into account the genetic progress and its effects on responses to extreme environmental conditions. Participants from DMI: Shuting Yang, Ruth Mottram, Marianne S. Madsen and Synne Høyer Svendssen, Time series analysis of arctic tropospheric ozone as short lived climate force. Project aims: MODEXTREME has the overarching goal to help the European and non-European agriculture face extreme climatic events by improving the capability of biophysical models simulating vegetation responses to integrate climatic variability and extremes. DMI's role: To provide RCM and GCM data for the tools, and interface with stakeholders nationally. DMI will contribute to all aspects of the project. Due to the sheer scale of this comment community, we are not able to give each post the same level of attention, but we have preserved this area in the interests of open debate. DMI’s contribution to the project is investigate and modelling the response of the atmospheric circulation to changes in sea ice and snow covers using global climate model EC-EARTH. DEFROST seeks to bridge existing gaps between climate modeling, cryospheric science, and Arctic ecosystem science. 2018.(ext. The polar portal communicates Arctic research and monitoring by Danish researchers to the public. 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. DMI is subcontractor. 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. Participants from DMI: Ole Bøssing Christensen and Cathine Fox Maule. Data should be transparently obtainable and visible and the degree of quality indicated. +45 3915 7500 |. data. The marine hindcast, reanalysis and projections have been used in many social benefit areas such as offshore energy, maritime transport, fishery management, coastal management and climate assessment etc. We work closely together with scientists and researchers in Denmark and internationally. Ocean processes: ocean mixing and stratification, freshwater fluxes and fjord processes. An SEB model that has been applied for points will be extended to a distributed surface module in HIRHAM5. 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. Project aims: There are four core requirements for climate data provision: integrity, transparency, humility (in the sense of not presenting information as more than it is, nor less than it is), and collaboration; A well-designed framework for metadata and data structure helps approaching these goals. DEFROST seeks to bridge existing gaps between climate modeling, cryospheric science, and Arctic ecosystem science. ERA4CS will address the research gaps that exist between climate system science and the needs of users and decision makers. Funding: Nordic Top-level Research Initiative (TRI)Period: Jan. 1, 2014 – Dec. 31, 2018Collaborators: eSTICC is led by the Norwegian Institute for Air Research (NILU), and gathers 13 research groups from the Nordic countries working in the fields of climate research and/or eScience, including the most prolific groups from the existing Nordic Centers of Excellence CRAICC, DEFROST and SVALI. Project aims: This project will 1) develop a percolation/retention scheme based on inverse modeling of shallow ice core data; 2) evaluate non-linearities in ice sheet melt water runoff; and 3) assess feedback mechanisms between atmosphere and surface properties (i.e. eading EuMetChem COST Action; Core Group and Management Committee Meetings; contributions to WG1 “Strategy and framework for online integrated modelling”, WG2 “Interactions, parameterizations and feedback mechanisms”, WG3 “Chemical data assimilation in integrated model”, WG4 “Evaluation, validation and applications” with Enviro-HIRLAM online integrated meteorology-chemistry model research and development results; organization of young scientist summer school on integrated modelling (, EU Coordination Action; total budget – 600 KEu, Coordinator – Prof. Alexander Baklanov (DMI); COST EU 23 participants (Austria, Bulgaria, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Israel, Italy, Malta, Netherlands, Norway, Poland, Portugal, Serbia, Slovenia, Spain, Sweden, Switzerland, Turkey, UK), COST neighboring countries (Ukraine, Russia, Egypt), international partners (USA, Brazil), and international organizations (JRC, ECMWF, EEA). To include the response of the glacier to the changes in the SEB, HIRHAM5 is coupled to the dynamic ice sheet model PISM for future projections. Thus, the evaluation and quality control (EQC) framework aiming to fulfill this goal is essential for both the scientific and public audience. To achieve this overall goal we will take advantage of the wealth of data available in Iceland at IES, and three types of ablation models with various spatial extent and resolution. Participants from DMI: Ole Bøssing Christensen and Erik Wienberg. The use RiskChange will establish a scientific basis for design and adaptation of critical infrastructure, based on recent knowledge of changes in climate extremes. 282746. Studies Association (Bangladesh), International Water Management Institute (Sri Lanka), Stichting Wetlands International (Netherlands), World Health Organization (Switzerland), Institute of Water Modelling (Bangladesh), African Centre of Meteorological Application Development ACMAD (Niger), European Climate Forum (Gernmany). Ocean and Ice - Danish Meteorological Institute - Lyngbyvej 100 - 2100 Copenhagen Ø - Denmark. This tool will not only be valuable for future assessments but will also assist the scientific community in making more clearly its case on the consequences of our changing climate to policy makers and the general public. Guðfinna Aðalgeirsdóttir, University of Iceland. In most cases with an interactive ice sheet model (PISM) being part of the system. DMI’s role: Leading EuMetChem COST Action; Core Group and Management Committee Meetings; contributions to WG1 “Strategy and framework for online integrated modelling”, WG2 “Interactions, parameterizations and feedback mechanisms”, WG3 “Chemical data assimilation in integrated model”, WG4 “Evaluation, validation and applications” with Enviro-HIRLAM online integrated meteorology-chemistry model research and development results; organization of young scientist summer school on integrated modelling (Jul 2014, Aveiro, Portugal); hosting short-term scientific missions for young scientists. Consortium of 24 partners from 16 countries, coordination by Dr. Paula Harrison, Lancaster Environment Centre. Introduction The relationship between NH land mean temperature and solar cycle length was discussed in EFCKL91 and rose to be a frequently cited paper in the sun-climate field (see Figure 3.1). University of Bath (United Kingdom), Coordinator Ecologic Institut (Germany), BC3 Basque Centre for Climate Change (Spain), Internationales Institu Für Angewandte Systemanalyse (Austria), Sveriges Lantbruksuniversitet (Sweden), Stichting VU-VUMC (Netherlands), Potsdam Institu Für Klimafolgenforschung (Germany), Centro Euro-Mediterraneo sui cambiamenti climatici (Italy), Wageningen University (Netherlands), University of East Anglia (United Kingdom), Paul Watkiss Associates (United Kingdom), Univerzita Karlova V Praze (Czech Republic) and JRC - Joint Research Centre (Belgium). Statistical methods will be developed to quantify the expected changes in climate extremes taking into account the uncertainties related to climate forcing scenarios, climate modelling and downscaling. eSTICC: eScience Tools for Investigating Climate Change at High Northern Latitudes (Link: english (external)). resolving mechanisms behind the sudden demise of sea ice cover. : SVALI team consists of 18 research groups from all Nordic countries, led by the Department of geosciences, University of Oslo. Climate simulations and understanding of associated uncertainties are constantly being improved and the report presents the latest projections, calculated on a base of an ensemble of CMIP5 climate models (Coupled Model Intercomparison Project Phase 5), which is more robust than estimates based on a single model. DMI will work on improving the interface to the model data archive (CORDEX/ENSEMBLE), improving representation of ice sheets and their surface mass balance in ESM-Ice Sheet Model coupling system, improving the performance of the ESM (i.e., EC-EARTH) for carrying out extended long (millennial time-scale) experiments. The project will contribute to the development of planning and decision support tools for local and central authorities and will form the basis for establishing design guidelines and associated tools for the industry.

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