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contributor authorHiggins, R. W.
contributor authorKousky, V. E.
contributor authorSilva, V. B. S.
contributor authorBecker, E.
contributor authorXie, P.
date accessioned2017-06-09T16:35:44Z
date available2017-06-09T16:35:44Z
date copyright2010/09/01
date issued2010
identifier issn0894-8755
identifier otherams-70619.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4212420
description abstractA comparison of the statistics of daily precipitation over the conterminous United States is carried out using gridded station data and three generations of reanalysis products in use at the National Centers for Environmental Prediction (NCEP). The reanalysis products are the NCEP?NCAR reanalysis (Kalnay et al.), the NCEP?Department of Energy (DOE) reanalysis (Kanamitsu et al.), and the NCEP Climate Forecast System (CFS) reanalysis (Saha et al.). Several simple measures are used to characterize relationships between the observations and the reanalysis products, including bias, precipitation probability, variance, and correlation. Seasonality is accounted for by examining these measures for four nonoverlapping seasons, using daily data in each case. Relationships between daily precipitation and El Niño?Southern Oscillation (ENSO) phase are also considered. It is shown that the CFS reanalysis represents a clear improvement over the earlier reanalysis products, though significant biases remain. Comparisons of the error patterns in the reanalysis products provide a suitable basis for confident conversion of the Climate Prediction Center (CPC) operational monitoring and prediction products to the new generation of analyses based on CFS.
publisherAmerican Meteorological Society
titleIntercomparison of Daily Precipitation Statistics over the United States in Observations and in NCEP Reanalysis Products
typeJournal Paper
journal volume23
journal issue17
journal titleJournal of Climate
identifier doi10.1175/2010JCLI3638.1
journal fristpage4637
journal lastpage4650
treeJournal of Climate:;2010:;volume( 023 ):;issue: 017
contenttypeFulltext


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