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contributor authorMcenery, John
contributor authorIngram, John
contributor authorDuan, Qingyun
contributor authorAdams, Thomas
contributor authorAnderson, Lee
date accessioned2017-06-09T16:42:47Z
date available2017-06-09T16:42:47Z
date copyright2005/03/01
date issued2005
identifier issn0003-0007
identifier otherams-72793.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4214835
description abstractThe National Oceanic and Atmospheric Administration (NOAA) National Weather Service (NWS) Advanced Hydrologic Prediction Service (AHPS) program was established to meet our nation's need for more precise flash-flood forecast information. AHPS uses NOAA investments in remote sensing, precipitation forecasts, climate predictions, data automation, hydrologic science, and operational forecast system technologies. AHPS establishes a pathway for the infusion of new verified science and technology, and expands the use of NWS climate, weather, and water analyses and information products. State-of-the-art science is used for improved operational forecasting of floods, and drought conditions. The objective is to deliver more precise forecast information over greater temporal scales (hours, days, and months) and to depict the magnitude and certainty of occurrence for events ranging from droughts to floods. The AHPS program improves flash-flood forecasts, and provides ensemble streamflow forecasting and flood-forecast maps. AHPS information is accessible to customers by the internet with texts and graphics. This paper describes AHPS forecasting services and their implementation status.
publisherAmerican Meteorological Society
titleNOAA'S Advanced Hydrologic Prediction Service: Building Pathways for Better Science in Water Forecasting
typeJournal Paper
journal volume86
journal issue3
journal titleBulletin of the American Meteorological Society
identifier doi10.1175/BAMS-86-3-375
journal fristpage375
journal lastpage385
treeBulletin of the American Meteorological Society:;2005:;volume( 086 ):;issue: 003
contenttypeFulltext


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