In this case it is a set of two fully prognostic, present day, coupled atmosphere and land geophysical models (WACCM,CLM), a prescribed data ocean geophysical model (docn), a prescribed sea-ice (CICE) geophysical model and no land-ice geophysical model ([11]).
In our simulation, we use active, fully prognostic atmosphere and land geophysical models and a data ocean geophysical model.
Lee et al. (2013) combined new oxygen isotope data with ocean modeling to suggest that the LGM and present path of the Kuroshio Current were similar and that glacial/interglacial sea level variability does not significantly alter the temperature, salinity, and path of the current.
A twin experiment on the assimilation of satellite data in the ocean model Miami Isopycnal Coordinate Ocean Model (MICOM) is described and implemented which shows the high efficiency of the proposed filter.
The background error covariance matrix is specified using ocean model data and the analysis uses correlation length scales of 10 km and 100 km.
The implementation of these data in the HYbrid Coordinate Ocean Model (HYCOM) demonstrates the potential for their application in numerical ocean models.
The ocean model configuration and data assimilation scheme are as described in Maes and O'Kane [17].
The topography of the ocean bottom at 5′ latitude and longitude intervals was used in the ocean model, and these data were taken from the Earth Topography Digital Dataset 5 provided by the NOAA National Geophysical Data Center.
In this study, OBP was evaluated with an ocean model to assimilate observed atmospheric and oceanographic data.
Land and sea distributions, extracted from the Global TOPOgraphic 30 digital elevation data produced by the US Geological Survey, were provided by the atmosphere model to the ocean model only at the initial time, to ensure that the land and sea distributions in the atmosphere and ocean models matched.
