A Statistical Approach of Estimating Vertical Temperature Gradients from Near-Surface Observations

dc.contributor.author	Cieslik, S. A.
dc.contributor.author	Bultynck, H. C.
dc.date.accessioned	2017-06-09T14:01:22Z
dc.date.available	2017-06-09T14:01:22Z
dc.date.copyright	1986/10/01
dc.date.issued	1986
dc.identifier.issn	0733-3021
dc.identifier.other	ams-11055.pdf
dc.identifier.uri	http://onlinelibrary.yabesh.ir/handle/yetl/4146241
dc.description.abstract	A simple method for estimating vertical temperature gradients in the atmospheric boundary layer from near-surface temperature data is developed. The method is based on the statistical correlation existing between the vertical temperature gradient and the radiational contribution to the near-surface temperature. The existence of hysteresis-like cycles between these two quantities, occurring during day?night cycles, is shown. The method is tested using tower data obtained at various locations.
dc.publisher	American Meteorological Society
dc.title	A Statistical Approach of Estimating Vertical Temperature Gradients from Near-Surface Observations
dc.type	Journal Paper
dc.journal.volume	25
dc.journal.issue	10
dc.journal.title	Journal of Climate and Applied Meteorology
dc.identifier.doi	10.1175/1520-0450(1986)025<1315:ASAOEV>2.0.CO;2
dc.journal.fristpage	1315
dc.journal.lastpage	1323
dc.tree	Journal of Climate and Applied Meteorology:;1986:;Volume( 025 ):;Issue: 010
dc.contenttype	Fulltext