Objective
The target is to better identify and model the key processes of the climate system, including natural variability, than has been done so far using coarse resolution Atmosphere-Ocean General Circulation Models. This will be carried out by a better description of physical processes in the coupled climate system of the Arctic in high-resolution regional climate models. GLIMPSE address and reduce the deficiencies by developing improved physical decryptions and parameterisations of regional Arctic climate feedbacks (stable planetary boundary layer-, cloud-radiation-, land surface and permafrost parameterisations, (P - E) feedbacks on sea-ice distribution and influence on ecosystems) in regional climate models . The improved parameterisations of regional Arctic climate feedbacks will be applied into coupled Agamas, to determine and understand their global consequences for natural decadal scale climate variability in the past and future .
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Call for proposal
Data not availableFunding Scheme
CSC - Cost-sharing contractsCoordinator
14473 GROSS GLIENICKE POTSDAM
Germany