The Modular Ocean Data Assimilation System (MODAS)*
Top Cited Papers
- 1 February 2002
- journal article
- Published by American Meteorological Society in Journal of Atmospheric and Oceanic Technology
- Vol. 19 (2) , 240-252
- https://doi.org/10.1175/1520-0426(2002)019<0240:tmodas>2.0.co;2
Abstract
The Modular Ocean Data Assimilation System (MODAS) is used by the U.S. Navy for depiction of three-dimensional fields of temperature and salinity over the global ocean. MODAS includes both a static climatology and a dynamic climatology. While the static climatology represents the historical averages, the dynamic climatology assimilates near-real-time observations of sea surface height and sea surface temperature and provides improved temperature and salinity fields. The methodology for the construction of the MODAS climatology is described here. MODAS is compared with Levitus and Generalized Digital Environmental Model climatologies and with temperature and salinity profiles measured by SeaSoar in the Japan/East Sea to illustrate MODAS capabilities. MODAS with assimilated remotely sensed data is able to portray time-varying dynamical features that cannot be represented by static climatologies. Abstract The Modular Ocean Data Assimilation System (MODAS) is used by the U.S. Navy for depiction of three-dimensional fields of temperature and salinity over the global ocean. MODAS includes both a static climatology and a dynamic climatology. While the static climatology represents the historical averages, the dynamic climatology assimilates near-real-time observations of sea surface height and sea surface temperature and provides improved temperature and salinity fields. The methodology for the construction of the MODAS climatology is described here. MODAS is compared with Levitus and Generalized Digital Environmental Model climatologies and with temperature and salinity profiles measured by SeaSoar in the Japan/East Sea to illustrate MODAS capabilities. MODAS with assimilated remotely sensed data is able to portray time-varying dynamical features that cannot be represented by static climatologies.Keywords
This publication has 7 references indexed in Scilit:
- The upper-ocean response to monsoonal forcing in the Arabian Sea: seasonal and spatial variabilityDeep Sea Research Part II: Topical Studies in Oceanography, 2000
- The Naval Research Laboratory Role in Naval Ocean PredictionMarine Technology Society Journal, 1999
- Synthetic temperature profiles derived from Geosat altimetry: Comparison with air‐dropped expendable bathythermograph profilesJournal of Geophysical Research: Oceans, 1990
- A Comparison Between the Generalized Digital Environmental Model and Levitus climatologiesJournal of Geophysical Research: Oceans, 1990
- Brunt-Väisälä Frequency and Rossby Radii in the South AtlanticJournal of Physical Oceanography, 1987
- A Global Three-Dimensional Multivariate Statistical Interpolation SchemeMonthly Weather Review, 1981
- A technique for objective analysis and design of oceanographic experiments applied to MODE-73Deep Sea Research and Oceanographic Abstracts, 1976