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contributor authorJanowiak, J. E.
contributor authorRopelewski, C. F.
contributor authorHalpert, M. S.
date accessioned2017-06-09T14:01:05Z
date available2017-06-09T14:01:05Z
date copyright1986/04/01
date issued1986
identifier issn0733-3021
identifier otherams-10987.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4146164
description abstractAn objective method to identify and track significant global precipitation anomalies on time scales of a month or longer is presented. The technique requires current observations of monthly precipitation amounts for each station and long term (20 or more years) monthly precipitation histories. Tests indicate that the technique compares favorably with the well-known Palmer Drought Severity Index (PDSI) and Crop Moisture Index (CMI) in the United States. Since monthly precipitation data are readily available in a near real-time framework, this method makes an automated, global precipitation anomaly monitoring system possible.
publisherAmerican Meteorological Society
titleThe Precipitation Anomaly Classification: A Method for Monitoring Regional Precipitation Deficiency and Excess on a Global Scale
typeJournal Paper
journal volume25
journal issue4
journal titleJournal of Climate and Applied Meteorology
identifier doi10.1175/1520-0450(1986)025<0565:TPACAM>2.0.CO;2
journal fristpage565
journal lastpage574
treeJournal of Climate and Applied Meteorology:;1986:;Volume( 025 ):;Issue: 004
contenttypeFulltext


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