Assessment of satellite precipitation estimates over the slopes of the subtropical Andes
Author
dc.contributor.author
Hobouchian, María Paula
Author
dc.contributor.author
Salio, Paola
Author
dc.contributor.author
García Skabar, Yanina
Author
dc.contributor.author
Vila, Daniel
Author
dc.contributor.author
Garreaud Salazar, René
Admission date
dc.date.accessioned
2019-05-29T13:29:53Z
Available date
dc.date.available
2019-05-29T13:29:53Z
Publication date
dc.date.issued
2017
Cita de ítem
dc.identifier.citation
Atmospheric Research 190 (2017) 43–54
Identifier
dc.identifier.issn
01698095
Identifier
dc.identifier.other
10.1016/j.atmosres.2017.02.006
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/168870
Abstract
dc.description.abstract
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 fromJanuary 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 thewarmand cold seasons. The results indicate a decrease inwinter errorswhich
coincideswith thewet season over thewindward 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.