Ocean Data Assimilation Using the Temperature-salinity Relation and Water Mass Diagnostics PDF Download
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Author: Alberto Troccoli
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Author: Alberto Troccoli
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Author: Alberto Troccoli
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781721013609
Category :
Languages : en
Pages : 34
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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:
Publisher:
ISBN:
Category :
Languages : en
Pages : 44
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Author: Pierre P. Brasseur
Publisher: Springer Science & Business Media
ISBN: 3642789390
Category : Science
Languages : en
Pages : 303
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Data assimilation is considered a key component of numerical ocean model development and new data acquisition strategies. The basic concept of data assimilation is to combine real observations via estimation theory with dynamic models. Related methodologies exist in meteorology, geophysics and engineering. Of growing importance in physical oceanography, data assimilation can also be exploited in biological and chemical oceanography. Such techniques are now recognized as essential to understand the role of the ocean in a global change perspective. The book focuses on data processing algorithms for assimilation, current methods for the assimilation of biogeochemical data, strategy of model development, and the design of observational data for assimilation.
Author: O.I. Mamayev
Publisher: Elsevier
ISBN: 0080870473
Category : Science
Languages : en
Pages : 385
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Book Description
Temperature-Salinity Analysis of World Ocean Waters
Author: Shiqiu Peng
Publisher: Frontiers Media SA
ISBN: 2832540600
Category : Science
Languages : en
Pages : 295
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Author:
Publisher:
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Category : Marine meteorology
Languages : en
Pages : 796
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Author: Richard Swinbank
Publisher: Springer Science & Business Media
ISBN: 9401000298
Category : Technology & Engineering
Languages : en
Pages : 377
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Data assimilation is the combination of information from observations and models of a particular physical system in order to get the best possible estimate of the state of that system. The technique has wide applications across a range of earth sciences, a major application being the production of operational weather forecasts. Others include oceanography, atmospheric chemistry, climate studies, and hydrology. Data Assimilation for the Earth System is a comprehensive survey of both the theory of data assimilation and its application in a range of earth system sciences. Data assimilation is a key technique in the analysis of remote sensing observations and is thus particularly useful for those analysing the wealth of measurements from recent research satellites. This book is suitable for postgraduate students and those working on the application of data assimilation in meteorology, oceanography and other earth sciences.
Author: Alberto Troccoli
Publisher:
ISBN:
Category : Pacific Ocean
Languages : en
Pages : 23
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