An Ocean-Atmosphere Simulation for Studying Air-Sea Interactions

Strobach, Ehud ; Molod, Andrea M ; Trayanov, Atanas L ; Putman, William M ; Forget, Gael ; Campin, Jean-Michel ; Hill, Christopher N ; Menemenlis, Dimitris ; Heimbach, Patrick S

关键词: OCEANS;    SEA SURFACE TEMPERATURE;    AIR WATER INTERACTIONS;    SAMPLING;    VARIABILITY;    EARTH OBSERVING SYSTEM (EOS);    ATMOSPHERIC MODELS;    FEEDBACK;    SCALE MODELS;   

RP-ID  :  GSFC-E-DAA-TN64698

美国|英语

来源: NASA Technical Reports Server

【 摘 要 】

During the past few years the Goddard Earth Observing System (GEOS) and Massachusetts Institute of Technology (MIT) modeling groups have produced, respectively, global atmosphere-only and ocean-only simulations with km-scale grid spacing. These simulations have proved invaluable for process studies and for the development of satellite and in-situ sampling strategies. Nevertheless, a key limitation of these "nature" simulations is the lack of interaction between the ocean and the atmosphere, which limits their usefulness for studying air-sea interactions and for designing observing missions to study these interactions. To remove this limitation, we aim to perform a coupled simulation using the km-scale GEOS atmosphere and the km-scale MIT ocean models. The initial attempt at the km-scale coupled simulation resulted in computational issues which will be presented here. As a preliminary step towards the km-scale objective, we present results from a high resolution but not yet km-scale simulation, wherein we have coupled a cubed-sphere-720 (~ 1/8) configuration of the GEOS atmosphere to a lat-lon-cap-1080 (~ 1/12) configuration of the MIT ocean. We compare near-surface diagnostics of this fully coupled ocean-atmosphere set-up to equivalent atmosphere-only and ocean-only simulations. A particular focus of the comparisons is the differences in interactions between Sea Surface Temperature (SST) and ocean surface wind for the coupled and uncoupled simulations. We discuss observed and modeled high temporal variability (~days) SST-wind cycle and how it is represented in the different systems. A mechanism for the cycle, which is driven by SST-wind feedback, is proposed.