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contributor authorLaurmann, J. A.
date accessioned2017-06-09T17:38:36Z
date available2017-06-09T17:38:36Z
date copyright1976/06/01
date issued1976
identifier issn0021-8952
identifier otherams-9085.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4232534
description abstractA general assessment of the potential reduction in variance of predicted climatological statistics was made on the supposition that long-term seasonal-to-annual climatic averages are causally predictable. The residual variance, stemming from short-term unpredictable variability (the ?weather?), was found to be of the order of magnitude comparable to observed interannual changes when estimated on a local basis. When the geographic area was extended to global dimensions, the latter became dominant, indicating on this scale the potential for a significant reduction in climatic mean variance if a seasonal climatic prediction model were available. The relevance of these results to food reserve policy and to the directions of climatological research is discussed.
publisherAmerican Meteorological Society
titleVariance Estimates in Seasonal Climate Forecasting and Related Food Reserve Requirements
typeJournal Paper
journal volume15
journal issue6
journal titleJournal of Applied Meteorology
identifier doi10.1175/1520-0450(1976)015<0529:VEISCF>2.0.CO;2
journal fristpage529
journal lastpage534
treeJournal of Applied Meteorology:;1976:;volume( 015 ):;issue: 006
contenttypeFulltext


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