Accession Number : ADA579660


Title :   Variational Data Assimilation for the Global Ocean


Descriptive Note : Book chapter


Corporate Author : NAVAL RESEARCH LAB STENNIS DETACHMENT STENNIS SPACE CENTER MS OCEANOGRAPHY DIV


Personal Author(s) : Cummings, James A ; Smedstad, Ole M


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a579660.pdf


Report Date : Jan 2013


Pagination or Media Count : 43


Abstract : A fully three dimensional, multivariate, variational ocean data assimilation system has been developed that produces simultaneous analyses of temperature, salinity, geopotential and vector velocity. The analysis is run in real-time and is being evaluated as the data assimilation component of the Hybrid Coordinate Ocean Model (HYCOM) forecast system at the U.S. Naval Oceanographic Office. Global prediction of the ocean weather requires that the ocean model is run at very high resolution. Currently, global HYCOM is executed at 1/12 degree resolution with plans to move to a 1/25 degree resolution grid in the near future. These high resolution global grids present challenges for the analysis given the huge model state vector and the ever increasing number of satellite and in situ ocean observations available for the assimilation. In this paper the development and evaluation of the new oceanographic three-dimensional variational (3DVAR) data assimilation is described. Special emphasis is placed on documenting the capabilities built into the 3DVAR to make the system efficient for use in global HYCOM.


Descriptors :   *ASSIMILATION , *FORECASTING , *OCEAN MODELS , COORDINATES , EFFICIENCY , GEOPOTENTIAL , GLOBAL , GRIDS , HYBRID SYSTEMS , MODELS , OCEANOGRAPHY , OCEANS , REPRINTS , SYNCHRONISM


Subject Categories : Information Science
      Physical and Dynamic Oceanography


Distribution Statement : APPROVED FOR PUBLIC RELEASE