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An evaluation of boundary layer pred...

McWilliams, Anne Kristine.

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An evaluation of boundary layer prediction using five parameterization methodologies available in the MM5 model for the Northeast under clear, high-pressure conditions.

Record Type:	Electronic resources : Monograph/item
Title/Author:	An evaluation of boundary layer prediction using five parameterization methodologies available in the MM5 model for the Northeast under clear, high-pressure conditions./
Author:	McWilliams, Anne Kristine.
Description:	148 p.
Notes:	Source: Masters Abstracts International, Volume: 41-04, page: 1047.
Contained By:	Masters Abstracts International41-04.
Subject:	Environmental Sciences. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1412177
ISBN:	0493972919

An evaluation of boundary layer prediction using five parameterization methodologies available in the MM5 model for the Northeast under clear, high-pressure conditions.
McWilliams, Anne Kristine.

An evaluation of boundary layer prediction using five parameterization methodologies available in the MM5 model for the Northeast under clear, high-pressure conditions. - 148 p.

Source: Masters Abstracts International, Volume: 41-04, page: 1047.

Thesis (M.S.)--University of Massachusetts Lowell, 2003.

The atmospheric boundary layer of the atmosphere is a very difficult structure to simulate, particularly with respect to marine-terrestrial interfaces such as those found in the Northeast. Much progress has been made in the development of fine resolution physical parameterization schemes to obtain realistic structures. The NCAR/Penn State Mesoscale Model version 5 (MM5) offers the user seven boundary layer parameterization techniques. Five of these options, the MRF, the Gayno-Seaman (GS), the Blackadar (BLK), the Burk-Thompson (BT), and the Mellor-Yamada (MY) were evaluated for Chatham, MA; Brookhaven, NY; and Albany, NY on nine clear, high pressure days, to determine the applicability to these regions. The 12, 24, 36, and 48 hour forecasts of boundary layer structure were compared to sounding data observed at each location.

ISBN: 0493972919Subjects--Topical Terms:

676987
Environmental Sciences.

An evaluation of boundary layer prediction using five parameterization methodologies available in the MM5 model for the Northeast under clear, high-pressure conditions.
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100 1 $a McWilliams, Anne Kristine. $3 1899824
245 1 0 $a An evaluation of boundary layer prediction using five parameterization methodologies available in the MM5 model for the Northeast under clear, high-pressure conditions.
300 $a 148 p.
500 $a Source: Masters Abstracts International, Volume: 41-04, page: 1047.
500 $a Supervisor: Frank Colby.
502 $a Thesis (M.S.)--University of Massachusetts Lowell, 2003.
520 $a The atmospheric boundary layer of the atmosphere is a very difficult structure to simulate, particularly with respect to marine-terrestrial interfaces such as those found in the Northeast. Much progress has been made in the development of fine resolution physical parameterization schemes to obtain realistic structures. The NCAR/Penn State Mesoscale Model version 5 (MM5) offers the user seven boundary layer parameterization techniques. Five of these options, the MRF, the Gayno-Seaman (GS), the Blackadar (BLK), the Burk-Thompson (BT), and the Mellor-Yamada (MY) were evaluated for Chatham, MA; Brookhaven, NY; and Albany, NY on nine clear, high pressure days, to determine the applicability to these regions. The 12, 24, 36, and 48 hour forecasts of boundary layer structure were compared to sounding data observed at each location.
520 $a All of the parameterizations predicted excessive moisture at all locations and cooler than observed potential temperature profiles. The model biases resulted in underdeveloped daytime boundary layer heights with the MY and BT being the poorest performers.
590 $a School code: 0111.
650 4 $a Environmental Sciences. $3 676987
650 4 $a Physics, Atmospheric Science. $3 1019431
690 $a 0768
690 $a 0608
710 2 0 $a University of Massachusetts Lowell. $3 1017839
773 0 $t Masters Abstracts International $g 41-04.
790 1 0 $a Colby, Frank, $e advisor
790 $a 0111
791 $a M.S.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1412177