@Article{HobouchianSalSkaVilGar:2017:AsSaPr,
author = "Hobouchian, Mar{\'{\i}}a Paula and Salio, Paola and Skabar,
Yanina Garc{\'{\i}}a and Vila, Daniel Alejandro and Garreaud,
Rene",
affiliation = "{Servicio Meteorol{\'o}gico Nacional} and {Centro de
Investigaciones del Mar y la Atm{\'o}sfera (CONICET UBA)} and
{Servicio Meteorol{\'o}gico Nacional} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Universidad de Chile}",
title = "Assessment of satellite precipitation estimates over the slopes of
the subtropical Andes",
journal = "Atmospheric Research",
year = "2017",
volume = "190",
pages = "43--54",
month = "July",
keywords = "Precipitation, Satellite products, Topography.",
abstract = "A validation of four satellite daily precipitation estimates at a
spatial resolution of 0.25 degrees 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.",
doi = "10.1016/j.atmosres.2017.02.006",
url = "http://dx.doi.org/10.1016/j.atmosres.2017.02.006",
issn = "0169-8095",
language = "en",
targetfile = "hobouchian_assessment.pdf",
urlaccessdate = "24 abr. 2024"
}