Advanced Prediction in Polar regions and beyond: modelling, observing system design and LInkages associated with a Changing Arctic climate
APPLICATE is an €8 million project financed by the EU HORIZON 2020 Research and Innovation programme that involves 16 partners from nine countries (Belgium, France, Germany, Iceland, Norway, Russia, Spain, Sweden and the United Kingdom) and will be carried out over a period of four years. The multinational and multidisciplinary consortium will work to enhance weather and climate prediction capabilities not only in the Arctic, but also in Europe, Asia, and North America. A focus on the Arctic is important for improved predictions of weather and climate in the mid-latitudes because the changes taking place in the Arctic due to climate change — the retreat of sea ice, warming seas and a warming atmosphere — have the potential to influence weather and climate in the mid-latitudes.
Follow APPLICATE on Twitter @applicate_eu.
"Processes and impacts of climate change in the North Atlantic Ocean and the Canadian Arctic" aims to educate PhD students in an interdisciplinary environment that combines the strength in marine geosciences and environmental physics in Bremen with complementary skills and expertise in sea-ice and ice-sheet modelling in a consortium of eight Canadian partner universities. The scientific team with the PhD students in its centre aims to advance the understanding of the variability of the Arctic Ocean and the cryosphere on time scales of decades to millennia and to use these results to robustly assess the impact of projected future climate changes on the Arctic.
Advanced Earth System Modelling Capacity: A contribution to solving Grand Challenges by developing and applying innovative Earth System Modelling capacity
ESM is a €10 million project started in April 2017 funded by the Helmholtz Association over a period of three years. The project comprises eight Helmholtz Research Centres and aims to improve the representation of the components of the Earth system and their coupling, as well as to perform a series of selected numerical experiments to address Grand Challenges (Frontier Simulations). A long-term strategy for the development of an Earth System Modelling capacity is also an objective of the project.
Follow ESM on Twitter @project_esm.
ESM-TOOLS is a software product developed and maintained at AWI Bremerhaven as part of the Helmholtz project ESM with the aim to unify model infrastructure, giving a common framework for downloading, compiling, running and organizing coupled or standalone models. ESM-TOOLS is composed of three tools: (1) esm-master: Makefile-based tool to download, configure and compile the models (2) esm-environment: Machine-dependant settings for compiling and running of models, all collected in one place. (3) esm-runscripts: collection of functions enabling to use short and concise runscripts, practically identical independent of machine or even model. The underlying functions organize the whole experiment, including copying of data, modifying of namelists, sanity checks, iterative coupling, and much more.
Follow ESM-TOOLS on Twitter @ToolsEsm.
FRontiers in Arctic marine Monitoring
Our ability to understand the complex interactions of biological, chemical, physical, and geological processes in the ocean and on land is still limited by the lack of integrative and interdisciplinary observation infrastructures. The main purpose of the open-ocean infrastructure FRAM is permanent presence at sea, from surface to depth, for the provision of near real-time data on Earth system dynamics, climate variability and ecosystem change. The Climate Dynamics section supports the FRAM infrastructure program with high-resolution ocean and sea-ice simulations.
Vibe Schourup-Kristensen | Claudia Wekerle
Amending North Atlantic Model Biases to Improve Arctic Predictions
NAtMAP is an European consortium project under the ERA-Net.RUS funding scheme, with partners from the Institute of Oceanology of the Polish Academy of Sciences (IOPAN) and the Institute of Numerical Mathematics of the Russian Academy of Sciences (INMRAS).
The AWI share is funded by the German Federal Ministry for Education and Research (BMBF) until mid-2018. The main goal of the project is to understand and reduce long-standing common biases in the simulated hydrography of the North Atlantic, in particular by analyzing the impact of oceanic resolution in key regions, such as the Gulf Stream and North Atlantic Current regions, the Labrador Sea, and the Denmark Strait. The main tool for this research is the unstructured-mesh model FESOM.
PRIMAVERA is a “Horizon 2020” project funded by the European Commission. The project is a collaboration between 19 European partners, led by the Met Office and the Reading University. The main objectives of the project are to develop a new generation of advanced and well-evaluated high-resolution global climate models, and perform simulations and predictions of regional climate with unprecedented fidelity.
Ocean mass varibility on time scales of months to decades is still insufficiently understood. On these time scales, large-scale bottom pressure anomalies are associated both with wind induced variability as well as baroclinic processes, i.e. related to vertical shear of ocean density. The GRACE mission has been instrumental in quantifying such mass fluctuations, yet its lifetime is limited. However, the broader importance of non-tidal ocean mass variability for geodesy and oceanography, i.e. for understanding the time varying geoid, shape of the Earth's crust, centre of figure, Earth rotation, is obvious. Similarly, deep ocean processes can only be understood properly when not only sea surface height and upper ocean steric expansion are measured but deep ocean pressure anomalies are accounted for in addition. Only the knowledge of all three terms allows estimates of deep ocean warming and helps in understanding and predicting sea level rise. In "Consistent Ocean Mass Time Series from LEO Potential Field Missions (CONTIM)" we propose to combine expertise on precise satellite orbit determination, gravity field and mass modelling, and physical oceanography to retrieve, analyse and verify consistent time series of ocean mass variations from a set of low-flying Earth orbiters including GRACE. This information is used to further our understanding of oceanic movement, ocean warming and sea level rise.
Understanding regional sea level change and its impacts on societies requires new forms of integrated research between natural and social sciences. The Priority Program (SPP-1889) "Regional Sea Level Change and Society (SeaLevel)", funded by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) performs a comprehensive, interdisciplinary analysis to advance our knowledge on regional, climate-related sea level change, while taking into account the associated human-environment interactions and socio-economic developments in the coastal zone.
Elena Gerwing | Martin Losch
Seamless Sea Ice Prediction
The BMBF Young Investigator Group SSIP (2017—2022) works towards advancing sea-ice prediction capacity on timescales from hours to years and beyond. To achieve this, SSIP develops and conducts research with a seamless sea-ice prediction system based on the recently developed AWI Climate Model. The unstructured grid of the ocean/sea-ice component of this model (FESOM) allows to use high resolution in the polar regions (plus other key regions) in a global setup, enabling a seamless application of the prediction system on a wide range of timescales. The group applies state-of-the-art techniques to initialize the prediction model using remote-sensing and in-situ observations; it optimizes and further develops the sea-ice component of the prediction model; and it applies the prediction system to address research questions related to sea-ice predictability, verification, and the impact of different observations on sea-ice prediction.
TRR181 is a DFG funded project about energy transfers in atmosphere and ocean.
The energy of a closed system is steady. It is not lost but rather converted into other forms, such as when kinetic energy is transferred into thermal energy or vice versa heat results in a force.
However, this fundamental principle of natural science is often still a problem for climate research. For example, in case of the calculation of ocean currents, where small-scale vortices as well as mixing processes they induce need to be considered, without fully understanding where the energy for their creation originates from. This is similar in the atmosphere, the only difference being that air is moving instead of water. Again, local turbulences can drive larger movements or vice versa waves on a larger scale can disintegrate into small structures.
All these processes are important for the Earth’s climate and determine how temperatures will rise in the future.
The Year of Polar Prediction (YOPP) is a major international activity that has been initiated by World Meteorological Organization’s World Weather Research Programme (WWRP) as a key component of the Polar Prediction Project (PPP). YOPP takes place from mid-2017 to mid-2019. Its overarching goal is to significantly advance our environmental prediction capabilities for the polar regions and beyond.
As an internationally coordinated period of intensive observing, modelling, prediction, verification, user-engagement and education activities which involves various stakeholders, the Year of Polar Prediction will contribute to the knowledge base needed to managing the opportunities and risks that come with Arctic climate change.
1.5° target and the West Antarctic ice sheet
ZUWEISS is a BMBF funded project in which the benefits of a limitation of global warming to 1.5°C and 2°C are investigated.
The exceedance of critical temperature thresholds in the Southern Ocean can lead to an irreversible collapse of the West-Antarctic Ice Sheet. This would result in a sea level rise of several meters, influence the global ocean circulation and would therefore have consequences for the global climate. To determine the extent and the uncertainty of these effects under a given global warming (1.5°C, 2°C, business-as-usual: about 4°C), scenarios which are available worldwide as well as new simulations with the Alfred Wegener Institute Climate Model (AWI-CM) and a state-of-the-art ice sheet model are combined. Paleo climate scenarios are taken as a reference point and can be used to judge the quality of the model studies. The goal of this project is to work out what positive consequences a global warming limit of 1.5°C above the pre-industrial level which is currently discussed in the politics would have compared to less ambitious aims such as the 2°C limit or even no attempt to reduce greenhouse gas concentrations.
Publicly available simulations of the Coupled Model Intercomparison Project 5 (CMIP5) are used as driving data for the ice sheet model to study changes in the ice sheet and shelf ice over the next hundreds of years. To consider the feedback mechanisms between shelf ice, ocean, and atmosphere, coupled ice sheet – ocean – atmosphere simulations are computed for the first time in a high horizontal resolution and on climate time scales of several hundreds of years (Figure 1). The focus is on the Antarctic ice sheet but will be extended to changes in other regions (Arctic, northern and southern mid-latitudes, tropics) in the course of the project.