| contributor author | Werner E. Cook | |
| contributor author | J. Scott Greene | |
| date accessioned | 2023-04-12T18:26:40Z | |
| date available | 2023-04-12T18:26:40Z | |
| date copyright | 2022/11/01 | |
| date issued | 2022 | |
| identifier other | JTECH-D-22-0011.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4289679 | |
| description abstract | Daily 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. | |
| publisher | American Meteorological Society | |
| title | Derivation of New Daily Rainfall Values from TAO 1-Min Rain Gauge Data | |
| type | Journal Paper | |
| journal volume | 39 | |
| journal issue | 11 | |
| journal title | Journal of Atmospheric and Oceanic Technology | |
| identifier doi | 10.1175/JTECH-D-22-0011.1 | |
| journal fristpage | 1729 | |
| journal lastpage | 1749 | |
| page | 1729–1749 | |
| tree | Journal of Atmospheric and Oceanic Technology:;2022:;volume( 039 ):;issue: 011 | |
| contenttype | Fulltext | |