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The Modular Ocean Information Assimilation Method (MODAS) is used by the U.S. Navy for depiction of a few-dimensional fields of temperature and salinity about the global ocean. MODAS features both equally a static climatology and also a dynamic climatology. When the static climatology signifies the historic averages, the dynamic climatology assimilates close to-genuine-time observations of sea floor peak and sea area temperature and supplies enhanced temperature and salinity fields.
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A database of linear associations in between subsurface temperature and the two surface area temperature and steric top anomaly is manufactured. The steric top anomaly is described as within the atlas by Olbers et al.
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Dynamic MODAS allows for the influence of entrance and eddy features which are detected via distant sensing of sea surface area top and temperature. This modified climatology can much more intently symbolize the in situ ocean than a static climatology and is useful For most applications. It provides an improved to start with guess when in situ profile details can be found for assimilation. The closer the 1st guess area should be to the reality, the better the ideal interpolation will carry out.
The salinity climatology is outlined to match the temperature climatology (Earlier computed by optimum interpolation) as
This appendix describes treatments Utilized in the construction of your static and dynamic climatologies. Observations are initially sorted by longitude and by latitude.