Cel The new global temperature goal calls for reliable quantification of present and future greenhouse gas (GHG) emissions, including climate feedbacks. Non-CO2 GHGs, with methane (CH4) being the most important, represent a large but highly uncertain component in global GHG budget. Lakes are among the largest natural sources of CH4 but our understanding of lake CH4 fluxes is rudimentary. Lake emissions are not yet routinely monitored, and coherent, spatially representative, long-term datasets are rare which hamper accurate flux estimates and predictions.METLAKE aims to improve our ability to quantify and predict lake CH4 emissions. Major goals include: (1) the development of robust validated predictive models suitable for use at the lake rich northern latitudes where large climate changes are anticipated in the near future, (2) the testing of the idea that appropriate consideration of spatiotemporal scaling can greatly facilitate generation of accurate yet simple predictive models, (3) to reveal and quantify detailed flux regulation patterns including spatiotemporal interactions and response times to environmental change, and (4) to pioneer novel use of sensor networks and near ground remote sensing with a new hyperspectral CH4 camera suitable for large-scale high resolution CH4 measurements.Extensive field work based on optimized state-of-the-art approaches will generate multi-scale and multi-system data, supplemented by experiments, and evaluated by data analyses and modelling approaches targeting effects of scaling on model performance. Altogether, METLAKE will advance our understanding of one of the largest natural CH4 sources, and provide us with systematic tools to predict future lake emissions. Such quantification of feedbacks on natural GHG emissions is required to move beyond state-of-the-art regarding global GHG budgets and to estimate the mitigation efforts needed to reach global climate goals. Dziedzina nauki natural sciencescomputer and information sciencesdata scienceengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensorsengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorssmart sensorsengineering and technologyenvironmental engineeringremote sensingnatural scienceschemical sciencesorganic chemistryaliphatic compounds Słowa kluczowe METLAKE Program(-y) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Temat(-y) ERC-2016-COG - ERC Consolidator Grant Zaproszenie do składania wniosków ERC-2016-COG Zobacz inne projekty w ramach tego zaproszenia System finansowania ERC-COG - Consolidator Grant Instytucja przyjmująca LINKOPINGS UNIVERSITET Wkład UE netto € 2 000 000,00 Adres CAMPUS VALLA 581 83 Linkoping Szwecja Zobacz na mapie Region Östra Sverige Östra Mellansverige Östergötlands län Rodzaj działalności Higher or Secondary Education Establishments Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Uczestnictwo w unijnych programach w zakresie badań i innowacji Opens in new window sieć współpracy HORIZON Opens in new window Koszt całkowity € 2 000 000,00 Beneficjenci (1) Sortuj alfabetycznie Sortuj według wkładu UE netto Rozwiń wszystko Zwiń wszystko LINKOPINGS UNIVERSITET Szwecja Wkład UE netto € 2 000 000,00 Adres CAMPUS VALLA 581 83 Linkoping Zobacz na mapie Region Östra Sverige Östra Mellansverige Östergötlands län Rodzaj działalności Higher or Secondary Education Establishments Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Uczestnictwo w unijnych programach w zakresie badań i innowacji Opens in new window sieć współpracy HORIZON Opens in new window Koszt całkowity € 2 000 000,00
