Response of high resolution coupled sea ice/ocean model to the assimilation of ice motion fields derived from microwave satellite imagery
MetadataShow full item record
Motivated by abundant sources of data and the need to improve weather prediction capabilities, data assimilation has a long history in atmospheric modeling. Data assimilation applied to sea-ice models, on the other hand, is in its infancy. Most of the investigations over the past twenty years falls into one of three categories: (1) the statistical interpolation of data into gridded fields (Thorndike and Colony, 1983), (2) advanced assimilation methods applied to simplified “box” style sea-ice models (Thomas and Rothrock, 1989), and (3) the non-statistical assimilation of ice data (Maslanik and Maybee, 1994). While the work of Maslanik and Maybee comes closest, no one had tackled the problem of statistically assimilating data into a full-featured sea-ice model. This situation changed with the work of Meier et al. (2000). They assimilated ice motions derived from passive microwave imagery into a fully dynamic-thermodynamic sea-ice model using optimal interpolation, a statistical interpolation technique. Their success motivated this project.
Showing items related by title, author, creator and subject.
Lermusiaux, P.F.J.; Chiu, C.S. (2002);The estimation of oceanic environmental and acoustical fields is considered as a single coupled data assimilation problem. The four-dimensional data assimilation methodology employed is Error Subspace Statistical Estimation. ...
The new data assimilation system at the Italian Air Force Weather Service: design and preliminary results Bonavita, Massimo (Monterey, California: Naval Postgraduate School, 2002., 2002-09);A new data assimilation system has been designed and implemented at the National Center for Aeronautic Meteorology and Climatology of the Italian Air Force (CNMCA) and it is undergoing testing before eventual operational ...
Shulman, Igor; Paduan, Jeffrey D. (Elsevier, 2009);Impact of HF radar surface-current assimilation on ocean circulation model predictions in the Monterey Bay area is studied and evaluated during the time frame of the Autonomous Ocean Sampling Network (AOSN-II) experiment ...