Assessment of satellite precipitation estimates over the slopes of the subtropical Andes
A validation of four satellite daily precipitation estimates at a spatial resolution of 0.25° is performed over the subtropical Andes, an area of highly complex topography: The Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA, 3B42 V7 and RT), the Climate Predic...
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| Formato: | Capítulo de libro |
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Elsevier Ltd
2017
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| Acceso en línea: | Registro en Scopus DOI Handle Registro en la Biblioteca Digital |
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| LEADER | 12698caa a22011417a 4500 | ||
|---|---|---|---|
| 001 | PAPER-14912 | ||
| 003 | AR-BaUEN | ||
| 005 | 20230518204531.0 | ||
| 008 | 190410s2017 xx ||||fo|||| 00| 0 eng|d | ||
| 024 | 7 | |2 scopus |a 2-s2.0-85013774959 | |
| 040 | |a Scopus |b spa |c AR-BaUEN |d AR-BaUEN | ||
| 100 | 1 | |a Hobouchian, M.P. | |
| 245 | 1 | 0 | |a Assessment of satellite precipitation estimates over the slopes of the subtropical Andes |
| 260 | |b Elsevier Ltd |c 2017 | ||
| 270 | 1 | 0 | |m Hobouchian, M.P.; Departamento de Investigación y Desarrollo, Servicio Meteorológico Nacional, Av. Cnel. M. Dorrego 4019, Argentina; email: phobouchian@smn.gov.ar |
| 506 | |2 openaire |e Política editorial | ||
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| 520 | 3 | |a A validation of four satellite daily precipitation estimates at a spatial resolution of 0.25° is performed over the subtropical Andes, an area of highly complex topography: The Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA, 3B42 V7 and RT), the Climate Prediction Center Morphing technique (CMORPH) and the Hydro-Estimator (HYDRO). Remote mountainous regions represent a major challenge for these satellite data products and for studies examining their quality with surface data. For the assessment of the satellite products, a period of seven years from January 1st 2004 to December 31st 2010 was considered. Different statistics were analyzed considering their variability in the study area and identifying their main differences between the warm and cold seasons. The results indicate a decrease in winter errors which coincides with the wet season over the windward side of the Andes. Also, a significant underestimation of precipitation is observed for all estimates throughout the period analyzed. The analysis with respect to terrain height shows a greater dependence of errors with topography for all the algorithms that combine infrared and passive microwave data, HYDRO providing the most stable result. The main limitations of the estimates associated with the type of precipitating event and their location relative to the orography are assessed. Finally, the analysis of two intense precipitation events is presented and allows the assessment of the latest advances in satellite derived estimates with the launch of the Global Precipitation Measurement. © 2017 Elsevier B.V. |l eng | |
| 593 | |a Departamento de Investigación y Desarrollo, Servicio Meteorológico Nacional, Argentina | ||
| 593 | |a Centro de Investigaciones del Mar y la Atmósfera, CONICET UBA, Argentina | ||
| 593 | |a Departamento de Ciencias de la Atmósfera y los Océanos, FCEyN, Universidad de Buenos Aires, Argentina | ||
| 593 | |a UMI-Instituto Franco Argentino sobre Estudios del Clima y sus Impactos, Argentina | ||
| 593 | |a CONICET, Argentina | ||
| 593 | |a División de Satélites y Sistemas Ambientales, CPTEC, Brazil | ||
| 593 | |a Departamento de Geofísica, Universidad de Chile, Chile | ||
| 690 | 1 | 0 | |a PRECIPITATION |
| 690 | 1 | 0 | |a SATELLITE PRODUCTS |
| 690 | 1 | 0 | |a TOPOGRAPHY |
| 690 | 1 | 0 | |a PRECIPITATION (CHEMICAL) |
| 690 | 1 | 0 | |a RAIN |
| 690 | 1 | 0 | |a RAIN GAGES |
| 690 | 1 | 0 | |a SATELLITES |
| 690 | 1 | 0 | |a TOPOGRAPHY |
| 690 | 1 | 0 | |a TROPICS |
| 690 | 1 | 0 | |a CLIMATE PREDICTION CENTERS |
| 690 | 1 | 0 | |a DAILY PRECIPITATIONS |
| 690 | 1 | 0 | |a GLOBAL PRECIPITATION MEASUREMENTS |
| 690 | 1 | 0 | |a INTENSE PRECIPITATION |
| 690 | 1 | 0 | |a PASSIVE MICROWAVE DATA |
| 690 | 1 | 0 | |a SATELLITE PRECIPITATION ESTIMATES |
| 690 | 1 | 0 | |a SATELLITE PRODUCTS |
| 690 | 1 | 0 | |a TROPICAL RAINFALL MEASURING MISSIONS |
| 690 | 1 | 0 | |a PRECIPITATION (METEOROLOGY) |
| 690 | 1 | 0 | |a ERROR ANALYSIS |
| 690 | 1 | 0 | |a PRECIPITATION ASSESSMENT |
| 690 | 1 | 0 | |a SATELLITE DATA |
| 690 | 1 | 0 | |a SATELLITE IMAGERY |
| 690 | 1 | 0 | |a SLOPE |
| 690 | 1 | 0 | |a SPATIAL RESOLUTION |
| 690 | 1 | 0 | |a TOPOGRAPHIC EFFECT |
| 690 | 1 | 0 | |a ANDES |
| 700 | 1 | |a Salio, P. | |
| 700 | 1 | |a García Skabar, Y. | |
| 700 | 1 | |a Vila, D. | |
| 700 | 1 | |a Garreaud, R. | |
| 773 | 0 | |d Elsevier Ltd, 2017 |g v. 190 |h pp. 43-54 |p Atmos. Res. |x 01698095 |w (AR-BaUEN)CENRE-3862 |t Atmospheric Research | |
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| 856 | 4 | 0 | |u https://doi.org/10.1016/j.atmosres.2017.02.006 |y DOI |
| 856 | 4 | 0 | |u https://hdl.handle.net/20.500.12110/paper_01698095_v190_n_p43_Hobouchian |y Handle |
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