Sea ice data assimilation in SODA3 reanalysis.
Abstract
Simple Ocean Data Assimilation (SODA) reanalysis is widely used as in global, as in regional climate studies. The version 3 of SODA was successfully applied, for example, to study water exchange between Arctic and Atlantic oceans (Carton et al, 2011) and air-sea heat flux (Chepurin et al, 2012). In SODA's previous reanalyzes sea ice was unconstrained evolving in response to surface fluxes and heat and freshwater exchanges with the underlying ocean. These experiments demonstrated good agreement between modeled and observed arctic sea ice extend. It also showed that ice thickness was biased and too low compare with available observations. Now we present our first results of latest SODA ocean and ice reanalysis where sea ice concentration and thickness are assimilating by using optimal interpolation (OI) method. We find that sea ice data assimilation improves the match to observations compared to free sea ice model. Improvements are particularly noticeable for ice thickness and salinity in the Arctic. The amplitude of seasonal signal in near surface salinity increased. The changes are most noticeable in Canada basin and Beaufort gyre.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2018
- Bibcode:
- 2018AGUFMOS44A..07C
- Keywords:
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- 3315 Data assimilation;
- ATMOSPHERIC PROCESSESDE: 1622 Earth system modeling;
- GLOBAL CHANGEDE: 1627 Coupled models of the climate system;
- GLOBAL CHANGEDE: 4263 Ocean predictability and prediction;
- OCEANOGRAPHY: GENERAL