@InProceedings{BlacuttHerd:2015:PrCoFo,
author = "Blacutt, Luis Alberto and Herdies, Dirceu Luis",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Precipitation comparison of four datasets over complex topography
region",
year = "2015",
organization = "Join Assembly",
abstract = "An overwhelming number of applications depend on reliable
precipitation estimations. However, over complex terrain in
regions such as the Andes or the southwestern Amazon, the spatial
coverage of rain gauges is scarce. Two reanalysis datasets, a
satellite algorithm and a scheme that combines surface
observations with satellite estimations were selected for studying
rainfall Bolivia. The selected reanalyses were the Modern-Era
Retrospective Analysis for Research and Applications, which has a
horizontal resolution conducive for studying rainfall in
relatively small precipitation systems, and the Climate Forecast
System Reanalysis and Reforecast, which features an improved
horizontal resolution. The third dataset was the seventh version
of the Tropical Rainfall Measurement Mission 3B42 algorithm. The
fourth dataset utilizes a new technique known as the Combined
Scheme, which successfully removes satellite bias. All four of
these datasets were interpolated to a coarser resolution. This
research aimed to describe and compare precipitation in the two
reanalysis datasets, the satellite-algorithm dataset, and the
Combined Scheme with ground observations. Two seasons were
selected for studying the precipitation estimates: the rainy
season (DecemberFebruary) and the dry season (JuneAugust). The
average, bias, standard deviation, correlation coefficient, and
root mean square error were calculated. Moreover, a contingency
table was generated to calculate the accuracy, bias frequency,
POD, FAR, and ETS. All four datasets correctly depicted the
spatial rainfall pattern. However, CFSR and MERRA overestimated
precipitation along the Andes' easternfacing slopes and exhibited
a dry bias over the eastern Amazon; TRMM3B42 and the Combined
Scheme depicted a more realistic rainfall distribution over both
the Amazon and the Andes. When separating the precipitation into
classes, MERRA and CFSR overestimated light to moderate
precipitation (120 mm/day) and underestimated very heavy
precipitation (>50 mm/day). TRMM3B42 and CoSch depicted behaviors
similar to the surface observations; however, CoSch underestimated
the precipitation in very intense systems (>50 mm/day) The
statistical variables indicated that CoSch's correlation
coefficient was highest for every season and basin.",
conference-location = "Montreal, Canada",
conference-year = "3-7 may",
language = "en",
urlaccessdate = "27 abr. 2024"
}