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Author: Alberto Troccoli
Publisher:
ISBN:
Category : Pacific Ocean
Languages : en
Pages : 23
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Book Description
Author: Alberto Troccoli
Publisher:
ISBN:
Category : Pacific Ocean
Languages : en
Pages : 23
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 44
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Book Description
Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781721013609
Category :
Languages : en
Pages : 34
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Book Description
The NASA Seasonal-to-Interannual Prediction Project (NSIPP) has developed an Ocean data assimilation system to initialize the quasi-isopycnal ocean model used in our experimental coupled-model forecast system. Initial tests of the system have focused on the assimilation of temperature profiles in an optimal interpolation framework. It is now recognized that correction of temperature only often introduces spurious water masses. The resulting density distribution can be statically unstable and also have a detrimental impact on the velocity distribution. Several simple schemes have been developed to try to correct these deficiencies. Here the salinity field is corrected by using a scheme which assumes that the temperature-salinity relationship of the model background is preserved during the assimilation. The scheme was first introduced for a zlevel model by Troccoli and Haines (1999). A large set of subsurface observations of salinity and temperature is used to cross-validate two data assimilation experiments run for the 6-year period 1993-1998. In these two experiments only subsurface temperature observations are used, but in one case the salinity field is also updated whenever temperature observations are available.Troccoli, Alberto and Rienecker, Michele M. and Keppenne, Christian L. and Johnson, Gregory C.Goddard Space Flight CenterOCEAN DATA ACQUISITIONS SYSTEMS; TEMPERATURE PROFILES; ANNUAL VARIATIONS; NASA PROGRAMS; SALINITY; PACIFIC OCEAN; TROPICAL REGIONS; VELOCITY DISTRIBUTION; WATER; INTERPOLATION; OCEAN MODELS; ROOT-MEAN-SQUARE ERRORS; DATA PROCESSING
Author: Alberto Troccoli
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Alberto Troccoli
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Alberto Troccoli
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Author: Femke Cathelijne Vossepoel
Publisher:
ISBN: 9789040719578
Category : Ocean circulation
Languages : en
Pages : 171
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Book Description
Author: John G. W. Kelley
Publisher:
ISBN:
Category : Ocean temperature
Languages : en
Pages : 49
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Book Description
"The purpose of NOAA Coastal Ocean Forecast System (COFS) is to provide nowcasts and short-term forecasts of water temperature, salinity, water level, and currents for the East Coast of the United States ... COFS is a collaborative project between the National Weather Service (NWS), the National Ocean Service (NOS), and Princeton University ... A data assimilation cycle for COFS was developed and implemented semi-operationally on April 1, 1998. This version of COFS is referred to as COFS 3.2. The purpose of the cycle is to provide a three-dimensional nowcast of the coastal ocean physical structure."--Page 1.
Author: Forrest R. Miller
Publisher:
ISBN:
Category : Abyssal zone
Languages : en
Pages : 28
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 23
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Book Description
A fully three-dimensional, multivariate, optimum-interpolation ocean data assimilation system has been developed that produces simultaneous analyses of temperature. salinity. geopotential and vector velocity. The system is run in real-time, and can be executed as a stand-alone analysis or cycled with an ocean forecast model in a sequential incremental update cycle. Additional capabilities have been built into the system. including flow- dependent background-error correlations and background-error variances that vary in space and evolve from one analysis cycle to the next. The ocean data types assimilated include: remotely sensed sea surface temperature, sea surface height. and sea-ice concentration; plus in-situ surface and sub-surface observations of temperature. salinity, and currents from a variety of sources, such as ships. buoys. expendable bathythermographs. conductivity-temperature-depth sensors, and profiling floats. An ocean data quality-control system is fully integrated with the multivariate analysis, and includes feedback of forecast fields and prediction errors in the quality control of new observations. The system is operational at the US Navy oceanographic, production centers both in global and in regional applications. It is being implemented as the data assimilation component of the Hybrid Coordinate Ocean Model as part of the US contribution to the Global Ocean Data Assimilation Experiment.
