PRESSURE-HEIGHT PREDICTABILITY AS A FUNCTION OF THE TYPE AND AMOUNT OF INITIAL DATA

dc.contributor.author	White, Robert M.
dc.date.accessioned	2017-06-09T14:11:21Z
dc.date.available	2017-06-09T14:11:21Z
dc.date.copyright	1956/02/01
dc.date.issued	1956
dc.identifier.issn	0095-9634
dc.identifier.other	ams-14224.pdf
dc.identifier.uri	http://onlinelibrary.yabesh.ir/handle/yetl/4149762
dc.description.abstract	Multiple regression equations for the 24-hour prediction of the pressure-height distribution are examined for the predictability as a function of the number and type of independent variables entering such equations. Information from the 1000-, 500-, and 200-millibar levels isused to predict the pressure-height distributions at these levels. The increased predictability as a function of the successive addition of information from these levels is examined.
dc.publisher	American Meteorological Society
dc.title	PRESSURE-HEIGHT PREDICTABILITY AS A FUNCTION OF THE TYPE AND AMOUNT OF INITIAL DATA
dc.type	Journal Paper
dc.journal.volume	13
dc.journal.issue	1
dc.journal.title	Journal of Meteorology
dc.identifier.doi	10.1175/1520-0469(1956)013<0040:PHPAAF>2.0.CO;2
dc.journal.fristpage	40
dc.journal.lastpage	45
dc.tree	Journal of Meteorology:;1956:;volume( 013 ):;issue: 001
dc.contenttype	Fulltext