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contributor authorMao, Qi
contributor authorMueller, Stephen F.
contributor authorJuang, Hann-Ming Henry
date accessioned2017-06-09T14:58:26Z
date available2017-06-09T14:58:26Z
date copyright2000/02/01
date issued2000
identifier issn0882-8156
identifier otherams-3103.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4168435
description abstractA limited-area spectral model?the Regional Spectral Model?developed at the National Centers for Environmental Prediction is used to prepare daily quantitative precipitation forecasts out to 48 h for the Tennessee and Cumberland River basins in the southeastern United States. One year of these forecasts is evaluated against data from a network of 243 rain gauges and against traditional man?machine forecasts provided under contract to Tennessee Valley Authority river system managers. The intent of this study was to determine whether the model forecasts, made at greater spatial resolution than those typically available from other sources, offered any advantages to water resource managers responsible for making critical day-to-day decisions affecting flood control, navigation, and hydropower production. The model?s performance, determined using a variety of statistical measures, was found to be more accurate than the traditional forecasts. In particular, the model had less bias and lower root-mean-square error, and was more accurate in the timing of precipitation events. The model?s advantage was especially evident in 24?48-h forecasts and for heavy precipitation events. Three specific case studies of model performance are described to illustrate the model?s abilities under conditions that could significantly influence river management decisions.
publisherAmerican Meteorological Society
titleQuantitative Precipitation Forecasting for the Tennessee and Cumberland River Watersheds Using the NCEP Regional Spectral Model
typeJournal Paper
journal volume15
journal issue1
journal titleWeather and Forecasting
identifier doi10.1175/1520-0434(2000)015<0029:QPFFTT>2.0.CO;2
journal fristpage29
journal lastpage45
treeWeather and Forecasting:;2000:;volume( 015 ):;issue: 001
contenttypeFulltext


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