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contributor authorHiggins, R. W.
contributor authorKim, H-K.
contributor authorUnger, D.
date accessioned2017-06-09T16:23:32Z
date available2017-06-09T16:23:32Z
date copyright2004/09/01
date issued2004
identifier issn0894-8755
identifier otherams-6703.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4208434
description abstractObjective seasonal forecasts of temperature and precipitation for the conterminous United States are produced using tropical Pacific sea surface temperature forecasts for the Niño-3.4 region in conjunction with composites of observed temperature and precipitation keyed to phases of the ENSO cycle. The objective seasonal forecasts are validated against observations for the period February?March?April (FMA) 1995 to September?October?November (SON) 2002, and compared to NOAA's Official Seasonal Forecasts issued by the Climate Prediction Center (CPC) for the same period. The objective forecasts are shown to produce skill that is comparable to (and even exceeding) that achieved by the Official Seasonal Forecasts at all leads out to 12.5 months. The forecasts are divided into high-frequency (HF) and trend-adjusted (TA) components in order to show that seasonal forecasters could achieve higher skill in both temperature and precipitation forecasts by taking full advantage of trend information, especially at longer leads. The objective forecasts are fully automated and available each month as a tool for use in preparation of the Official Seasonal Forecasts. (The latest objective forecasts are available on the CPC homepage at http://www.cpc.ncep.noaa.gov/products/precip/CWlink/ENSO/total.html.)
publisherAmerican Meteorological Society
titleLong-Lead Seasonal Temperature and Precipitation Prediction Using Tropical Pacific SST Consolidation Forecasts
typeJournal Paper
journal volume17
journal issue17
journal titleJournal of Climate
identifier doi10.1175/1520-0442(2004)017<3398:LSTAPP>2.0.CO;2
journal fristpage3398
journal lastpage3414
treeJournal of Climate:;2004:;volume( 017 ):;issue: 017
contenttypeFulltext


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