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THE EVALUATION OF THE EAST GREENLAND SEA ODDEN ICE FEATURE USING THE COMMUNITY CLIMATE SYSTEM MODEL3.0 (CCSM3.0)

Hung, Meng-Pai

Abstract Details

2009, Doctor of Philosophy, Ohio State University, Atmospheric Sciences.
The Odden event is a dominant mode of the Arctic sea ice variability, which is very important for the Arctic climate. The Odden sea ice feature extends northeastward from the Arctic pack ice of the east Greenland Sea during winter and spring, typically covering an area between 8°W and 5°E, and between 73° and 77°N. The key causes and forcing of Odden sea ice variability in the atmosphere and ocean is examined using the Community Sea Ice Model5.0 (CSIM5) within a Slab Ocean Model (SOM) called the M configuration of Community Climate System Model3.0 (CCSM3) provided by the National Center for Atmospheric Research (NCAR). A 26 year control run is made with the T62 NCEP/NCAR Reanalysis (NNR) atmospheric data from 1979 – 2004, and the simulated northern Atlantic sea ice is compared with that from the Hadley Center Sea ice and Sea Surface Temperature (HadISST) observational dataset in order to evaluate the model’s capabilities. The control run sea ice data were subjected to a rotated principal component analysis (RPCA) that revealed a component (#3) mode of variability that exhibited Odden-like variability similar to that obtained in observational data. To further investigate the single or multiple effects from the atmospheric and oceanic parameters associating with the Odden sea ice, 18 experiments are conducted with the NNR and a 1° x 1° Simple Ocean Data Assimilation (SODA) for the atmospheric and oceanic forcing, respectively. In one set of experiments the atmosphere and ocean model are run simultaneously in efforts to simulate the Odden while other experiments evaluate Odden forcing of individual atmospheric parameters with other parameter forcing being held in a non-Odden state. Model forcing data for Odden ice conditions are from 1997 (January – December) while those from 1994 are used as the forcing for non-Odden conditions, in keeping with observational studies. Results show that the model sea ice concentration (SIC) and ice thickness exhibit large variability in an area on the eastern end of the Odden region found in observational data. It does so particularly in response to air temperature and surface wind and ocean current forcing when the model output is averaged from February through April and May through July. The annual cycle of model parameter output shows that SIC peaks from March through May in experiments with full atmospheric forcing in the Odden and non-Odden years and where the ocean is held to climatological forcing. Parameters such as air temperature, overlying winds, longwave radiation, specific humidity and surface ocean currents make some of the larger contributions to SIC and ice thickness variations through the model year. At the time of peak model SIC and thickness (e.g., April, May) the wind forcing and that of surface currents appear to be larger than the SIC/thickness contribution by air temperature. In other words, the Odden mode in the model is mainly produced by dynamical effects of atmospheric winds and ocean currents.
Jeffery C. Rogers, PhD (Advisor)
Jialin Lin, PhD (Committee Member)
David H. Bromwich, PhD (Committee Member)
185 p.

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Citations

  • Hung, M.-P. (2009). THE EVALUATION OF THE EAST GREENLAND SEA ODDEN ICE FEATURE USING THE COMMUNITY CLIMATE SYSTEM MODEL3.0 (CCSM3.0) [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1250265410

    APA Style (7th edition)

  • Hung, Meng-Pai. THE EVALUATION OF THE EAST GREENLAND SEA ODDEN ICE FEATURE USING THE COMMUNITY CLIMATE SYSTEM MODEL3.0 (CCSM3.0). 2009. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1250265410.

    MLA Style (8th edition)

  • Hung, Meng-Pai. "THE EVALUATION OF THE EAST GREENLAND SEA ODDEN ICE FEATURE USING THE COMMUNITY CLIMATE SYSTEM MODEL3.0 (CCSM3.0)." Doctoral dissertation, Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1250265410

    Chicago Manual of Style (17th edition)