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Estimating real-time ocean temperatu...
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Barth, Suzanna Christine.
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Estimating real-time ocean temperature profiles from satellite altimetry for use in a coupled model of hurricane intensification.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Estimating real-time ocean temperature profiles from satellite altimetry for use in a coupled model of hurricane intensification./
作者:
Barth, Suzanna Christine.
面頁冊數:
103 p.
附註:
Source: Dissertation Abstracts International, Volume: 63-06, Section: B, page: 2909.
Contained By:
Dissertation Abstracts International63-06B.
標題:
Engineering, Aerospace. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3057736
ISBN:
0493731245
Estimating real-time ocean temperature profiles from satellite altimetry for use in a coupled model of hurricane intensification.
Barth, Suzanna Christine.
Estimating real-time ocean temperature profiles from satellite altimetry for use in a coupled model of hurricane intensification.
- 103 p.
Source: Dissertation Abstracts International, Volume: 63-06, Section: B, page: 2909.
Thesis (Ph.D.)--University of Colorado at Boulder, 2002.
This thesis describes a technique for estimating near real-time temperature profiles using satellite altimetry and assimilating these profiles into a model of ocean-driven tropical cyclones for the purpose of forecasting intensification. Hypotheses are developed, and results are evaluated and discussed. Using data from a 10 year run of the University of Colorado's version of the Princeton Ocean Model (CUPOM), dynamic height anomaly and temperature fields are decomposed using three different methods, in order to develop a scheme for estimating synthetic temperature profiles based on near real-time dynamic height measurements. CUPOM forecasted and hindcasted temperature profiles are compared with <italic>in situ</italic> data as a means of evaluating the synthetic temperature profiles.
ISBN: 0493731245Subjects--Topical Terms:
1018395
Engineering, Aerospace.
Estimating real-time ocean temperature profiles from satellite altimetry for use in a coupled model of hurricane intensification.
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This thesis describes a technique for estimating near real-time temperature profiles using satellite altimetry and assimilating these profiles into a model of ocean-driven tropical cyclones for the purpose of forecasting intensification. Hypotheses are developed, and results are evaluated and discussed. Using data from a 10 year run of the University of Colorado's version of the Princeton Ocean Model (CUPOM), dynamic height anomaly and temperature fields are decomposed using three different methods, in order to develop a scheme for estimating synthetic temperature profiles based on near real-time dynamic height measurements. CUPOM forecasted and hindcasted temperature profiles are compared with <italic>in situ</italic> data as a means of evaluating the synthetic temperature profiles.
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The temperature profiles are then used to estimate the ocean mixed layer depth and heat content. Making use of the whole column profile, different methods are used to estimate temperatures at depths in order to simulate events such as turbulent mixing, the passage of warm and cold eddies and other steric features, which are then assimilated into a tropical cyclone model provided by Kerry Emanuel. Forecast skill in estimating maximum surface wind speed, central surface pressure, storm center mixed layer depth; and updraft subsidance resulting from the near real-time temperature profiles is evaluated.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3057736
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