@Article{SalioHoboSkabVila:2015:EvHiSa,
author = "Salio, Paola and Hobouchian, Mar{\'{\i}}a Paula and Skabar,
Yanina Garc{\'{\i}}a and Vila, Daniel Alejandro",
affiliation = "{Centro de Investigaciones del Mar y la Atm{\'o}sfera
(CONICET-UBA)} and {Servicio Meteorol{\'o}gico Nacional} and
{Instituto Franco-Argentino sobre Estudios de Clima y sus
Impactos} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Evaluation of high-resolution satellite precipitation estimates
over southern South America using a dense rain gauge network",
journal = "Atmospheric Research",
year = "2015",
volume = "163",
number = "S1",
pages = "146--161",
month = "Sept.",
keywords = "Multisensor quantitative precipitacion estimates, Precipitation,
Validation, South America.",
abstract = "Six different satellite rainfall estimates are evaluated for a
24-hour accumulation period at 12 UTC with a 025 degree
resolution. The rain gauge data are obtained from a dense
inter-institutional station network for December 1, 2008 to
November 30, 2010 over South America. The evaluated satellite
rainfall products are the Tropical Rainfall Measuring Mission 3B42
V6, V7 and RT, the NOAA/Climate Prediction Center Morphing
technique (CMORPH), Hydroestimator (HYDRO) and the Combined Scheme
algorithm (CoSch). The validation and inter-comparison of these
products are focused on southern South America. The performance
improves lathe {"}blended{"} estimates by including microwave
observations and surface observations in the adjustments, i.e.,
3B42 V6, V7 and CoSch; however, large overestimations are
detectable in CMORPH, principally for extreme values over plains
areas. The estimates based on parameters associated with infrared
images only (HYDRO) underestimate precipitation south of 20
degrees S and tend to overestimate the warm precipitation to the
north. The inclusion of observed precipitation data is convenient
from monthly (3842 V7 and V6) to daily scales (CoSch) and improves
the estimates. The estimates that include microwave observations
show a strong tendency to overestimate extreme values of
precipitation over 70 mm. This effect is strongly evident in
northern and central Argentina and southern Brazil. A deeper
assessment is necessary, particularly over the Central Andes,
where effects of topography principally associated with solid
precipitation correspond to the persistence of majorly
overestimated precipitation.",
doi = "10.1016/j.atmosres.2014.11.017",
url = "http://dx.doi.org/10.1016/j.atmosres.2014.11.017",
issn = "0169-8095",
language = "en",
targetfile = "salio_evaluation.pdf",
urlaccessdate = "26 abr. 2024"
}