Predicting future methane fluxes from Northern lakes

Projektinformationen

METLAKE

ID Finanzhilfevereinbarung: 725546

DOI 10.3030/725546

Projekt abgeschlossen

EK-Unterschriftsdatum 19 Januar 2017

Startdatum 1 April 2017

Enddatum 31 Dezember 2022

Finanziert unter

• EXCELLENT SCIENCE - European Research Council (ERC)

Gesamtkosten € 2 000 000,00

EU-Beitrag € 2 000 000,00

Koordiniert durch

LINKOPINGS UNIVERSITET
Sweden

Ziel

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.

Wissenschaftliches Gebiet

• natural sciences › computer and information sciences › data science
• engineering and technology › electrical engineering, electronic engineering, information engineering › electronic engineering › sensors › optical sensors
• engineering and technology › electrical engineering, electronic engineering, information engineering › electronic engineering › sensors › smart sensors
• engineering and technology › environmental engineering › remote sensing
• natural sciences › chemical sciences › organic chemistry › aliphatic compounds

Schlüsselbegriffe

• METLAKE

Programm/Programme

• H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme

Thema/Themen

• ERC-2016-COG - ERC Consolidator Grant

Aufforderung zur Vorschlagseinreichung

ERC-2016-COG

Finanzierungsplan

ERC-COG - Consolidator Grant

Gastgebende Einrichtung

LINKOPINGS UNIVERSITET

• Netto-EU-Beitrag: € 2 000 000,00
• Adresse: CAMPUS VALLA ; 581 83 Linkoping ; Schweden
• Region: Östra Sverige › Östra Mellansverige › Östergötlands län
• Aktivitätstyp: Higher or Secondary Education Establishments
• Gesamtkosten: € 2 000 000,00

Begünstigte (1)

LINKOPINGS UNIVERSITET

Schweden

• Netto-EU-Beitrag: € 2 000 000,00
• Adresse: CAMPUS VALLA ; 581 83 Linkoping
• Region: Östra Sverige › Östra Mellansverige › Östergötlands län
• Aktivitätstyp: Higher or Secondary Education Establishments
• Gesamtkosten: € 2 000 000,00