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Using satellite data to estimate sno...

Frith, Russell.

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Using satellite data to estimate snow loads in Alaska.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Using satellite data to estimate snow loads in Alaska./
Author:	Frith, Russell.
Description:	104 p.
Notes:	Source: Masters Abstracts International, Volume: 55-02.
Contained By:	Masters Abstracts International55-02(E).
Subject:	Civil engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1601682
ISBN:	9781339139418

Using satellite data to estimate snow loads in Alaska.
Frith, Russell.

Using satellite data to estimate snow loads in Alaska. - 104 p.

Source: Masters Abstracts International, Volume: 55-02.

Thesis (M.S.)--University of Alaska Anchorage, 2015.

Structural engineers have relied on published ground snow load values to calculate the forces for which their structures must be designed. Outside the major urban areas of Alaska, those load values were most recently published in 1994, more than 20 years ago. In most locations, no values existed at all. In addition, those loads were based on records available at the time, which were generally insufficient. In many cases, as few as six years of data was available. Determining probability-based snow loads has required both a long record of measured snow-depths, and knowledge about the average snow density for each depth. The values used for the later in calculating the 1994 snow loads have also been questioned, causing disagreement about what loads to use in design.

ISBN: 9781339139418Subjects--Topical Terms:

860360
Civil engineering.

Using satellite data to estimate snow loads in Alaska.
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020 $a 9781339139418
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100 1 $a Frith, Russell. $3 3185850
245 1 0 $a Using satellite data to estimate snow loads in Alaska.
300 $a 104 p.
500 $a Source: Masters Abstracts International, Volume: 55-02.
500 $a Advisers: Scott Hamel; Rob Lang.
502 $a Thesis (M.S.)--University of Alaska Anchorage, 2015.
520 $a Structural engineers have relied on published ground snow load values to calculate the forces for which their structures must be designed. Outside the major urban areas of Alaska, those load values were most recently published in 1994, more than 20 years ago. In most locations, no values existed at all. In addition, those loads were based on records available at the time, which were generally insufficient. In many cases, as few as six years of data was available. Determining probability-based snow loads has required both a long record of measured snow-depths, and knowledge about the average snow density for each depth. The values used for the later in calculating the 1994 snow loads have also been questioned, causing disagreement about what loads to use in design.
520 $a This project assembled depth and weight data from NOAA's Global Historic Climate Network (GHCN) and from the National Snow and Ice Data Center to update the probability-based ground snow load values for as many Alaskan locations as were available. Climate monitoring stations recorded weight (snow-water equivalent) and satellite observations estimated snow water equivalency and were used to evaluate the existing characterizations of snow density in Alaska.
590 $a School code: 0922.
650 4 $a Civil engineering. $3 860360
650 4 $a Statistics. $3 517247
650 4 $a Geographic information science and geodesy. $3 2122917
690 $a 0543
690 $a 0463
690 $a 0370
710 2 $a University of Alaska Anchorage. $b Civil Engineering. $3 3175728
773 0 $t Masters Abstracts International $g 55-02(E).
790 $a 0922
791 $a M.S.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1601682