A variable resolution global spectral model

A conformal transformation suggested by F. Schimdt is followed to implement a global spectral model with variable horizontal resolution. A conformal mapping is defined between the real physical sphere (Earth) to a transformed (Computational) sphere. The model equations are discretized on the computa...

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Other Authors: Hardiker, Vivek Manohar., Florida State University
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Language:English
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Online Access:http://purl.flvc.org/fsu/lib/digcoll/etd/3088546
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spelling ftfloridastunidc:oai:fsu.digital.flvc.org:fsu_77348 2023-05-15T17:40:03+02:00 A variable resolution global spectral model Hardiker, Vivek Manohar. Florida State University 223 p. http://purl.flvc.org/fsu/lib/digcoll/etd/3088546 http://fsu.digital.flvc.org/islandora/object/fsu%3A77348/datastream/TN/view/A%20variable%20resolution%20global%20spectral%20model.jpg eng eng Dissertation Abstracts International On campus use only. Physics Atmospheric Science Text ftfloridastunidc 2020-08-10T18:43:26Z A conformal transformation suggested by F. Schimdt is followed to implement a global spectral model with variable horizontal resolution. A conformal mapping is defined between the real physical sphere (Earth) to a transformed (Computational) sphere. The model equations are discretized on the computational sphere and the conventional spectral technique is applied to solve the model equations. There are two types of transformations used in the present study, namely, the Stretching transformation and the Rotation of the horizontal grid points. Application of the stretching transformation results in finer resolution along the meridional direction. The stretching is controlled by a parameter C. The rotation transformation can be used to relocate the North Pole of the model to any point on the geographic sphere. The idea is now to rotate the pole to the area of interest and refine the resolution around the new pole by applying the stretching transformation. The stretching transformation can be applied alone without the rotation. A T-42 Spectral Shallow-Water model is transformed by applying the stretching transformation alone as well as the two transformations together. A T-42 conventional Spectral Shallow-Water model is run as the control experiment and a conventional T-85 Spectral Shallow-Water model run is treated as the benchmark (Truth) solution. RMS error analysis for the geopotential field as well as the wind field is performed to evaluate the forecast made by the transformed model. It is observed that the RMS error of the transformed model is lower than that of the control run in a latitude band, for the case of stretching transformation alone, while for the total transformation (rotation followed by stretching), similar results are obtained for a rectangular domain. A multi-level global spectral model is designed from the current FSU global spectral model in order to implement the conformal transformation. The transformed T-85 model is used to study Hurricane Andrew. The control experiment in this study is a conventional T-170 spectral model. The performance of transformed model is clearly seen to be improved in describing the structure, intensity and motion of Hurricane Andrew, over the conventional FSU global spectral model. Source: Dissertation Abstracts International, Volume: 56-01, Section: B, page: 0295. Major Professor: T. N. Krishnamurti. Thesis (Ph.D.)--The Florida State University, 1994. Text North Pole Florida State University Digital Library (FSUDL) North Pole
institution Open Polar
collection Florida State University Digital Library (FSUDL)
op_collection_id ftfloridastunidc
language English
topic Physics
Atmospheric Science
spellingShingle Physics
Atmospheric Science
A variable resolution global spectral model
topic_facet Physics
Atmospheric Science
description A conformal transformation suggested by F. Schimdt is followed to implement a global spectral model with variable horizontal resolution. A conformal mapping is defined between the real physical sphere (Earth) to a transformed (Computational) sphere. The model equations are discretized on the computational sphere and the conventional spectral technique is applied to solve the model equations. There are two types of transformations used in the present study, namely, the Stretching transformation and the Rotation of the horizontal grid points. Application of the stretching transformation results in finer resolution along the meridional direction. The stretching is controlled by a parameter C. The rotation transformation can be used to relocate the North Pole of the model to any point on the geographic sphere. The idea is now to rotate the pole to the area of interest and refine the resolution around the new pole by applying the stretching transformation. The stretching transformation can be applied alone without the rotation. A T-42 Spectral Shallow-Water model is transformed by applying the stretching transformation alone as well as the two transformations together. A T-42 conventional Spectral Shallow-Water model is run as the control experiment and a conventional T-85 Spectral Shallow-Water model run is treated as the benchmark (Truth) solution. RMS error analysis for the geopotential field as well as the wind field is performed to evaluate the forecast made by the transformed model. It is observed that the RMS error of the transformed model is lower than that of the control run in a latitude band, for the case of stretching transformation alone, while for the total transformation (rotation followed by stretching), similar results are obtained for a rectangular domain. A multi-level global spectral model is designed from the current FSU global spectral model in order to implement the conformal transformation. The transformed T-85 model is used to study Hurricane Andrew. The control experiment in this study is a conventional T-170 spectral model. The performance of transformed model is clearly seen to be improved in describing the structure, intensity and motion of Hurricane Andrew, over the conventional FSU global spectral model. Source: Dissertation Abstracts International, Volume: 56-01, Section: B, page: 0295. Major Professor: T. N. Krishnamurti. Thesis (Ph.D.)--The Florida State University, 1994.
author2 Hardiker, Vivek Manohar.
Florida State University
format Text
title A variable resolution global spectral model
title_short A variable resolution global spectral model
title_full A variable resolution global spectral model
title_fullStr A variable resolution global spectral model
title_full_unstemmed A variable resolution global spectral model
title_sort variable resolution global spectral model
url http://purl.flvc.org/fsu/lib/digcoll/etd/3088546
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geographic North Pole
geographic_facet North Pole
genre North Pole
genre_facet North Pole
op_relation Dissertation Abstracts International
op_rights On campus use only.
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