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contributor authorWerner E. Cook
contributor authorJ. Scott Greene
date accessioned2023-04-12T18:26:40Z
date available2023-04-12T18:26:40Z
date copyright2022/11/01
date issued2022
identifier otherJTECH-D-22-0011.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4289679
description abstractDaily rainfall accumulation estimates have been derived from 1-min volume data collected via self-syphon rain gauges deployed in the Tropical Atmosphere–Ocean (TAO) array of oceanographic buoys. The underlying high-resolution volume data were obtained directly from the Global Tropical Moored Buoy Array (GTMBA) Project Office of NOAA/Pacific Marine Environmental Laboratory. The derived accumulations have been incorporated into the Pacific Rainfall (PACRAIN) database as estimated daily values to augment existing sea level oceanic rainfall records gathered using traditional rain gauges. They have also been included in the PACRAIN historical, monthly gridded rainfall product. The methodology presented, which employs differencing of least squares–regressed sensor levels about 0000 UTC and rain gauge syphon events, is shown to offer improved error characteristics over the methodology used to compute previously published GTMBA rain rates. In particular, the PACRAIN method yields larger coefficients of determination and smaller standard errors than the duplicated GTMBA method when applied to synthetic rainfall data with noise magnitude and decorrelation times encompassing those observed in the real 1-min data. These results are shown to be consistent with mathematical expectations. Sources of instrument and catchment errors, as well as evaporation, are discussed in the context of their potential effects on accumulation estimates for periods of a day or longer.
publisherAmerican Meteorological Society
titleDerivation of New Daily Rainfall Values from TAO 1-Min Rain Gauge Data
typeJournal Paper
journal volume39
journal issue11
journal titleJournal of Atmospheric and Oceanic Technology
identifier doi10.1175/JTECH-D-22-0011.1
journal fristpage1729
journal lastpage1749
page1729–1749
treeJournal of Atmospheric and Oceanic Technology:;2022:;volume( 039 ):;issue: 011
contenttypeFulltext


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