@Article{PilottoRodrChouOliv:2017:EfSuHe,
author = "Pilotto, Isabel Lopes and Rodriguez, Daniel Andres and Chou, Sin
Chan and Oliveira, Gilvan Sampaio de",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)}",
title = "Effects of the surface heterogeneities on the local climate of a
fragmented landscape in Amazonia using a tile approach in the
Eta/Noah-MP model",
journal = "Quarterly Journal of The Royal Meteorological Society",
year = "2017",
volume = "143",
number = "704",
pages = "1565--1580",
abstract = "This study evaluates the use of tiles to estimate the effects of
surface heterogeneities in simulations of local climate in a
landscape-fragmented region of Amazonia. Three experiments using
the Eta/Noah-MP model were designed as follows: two experiments
with a spatial resolution of 5 km with and without the use of the
tile approach. The third experiment used a finer spatial
resolution of 2 km without the use of the tile approach
(high-resolution experiment). Simulations were carried out for the
rainy and dry seasons, which correspond to the months of March and
September 2003, respectively. In general, the magnitude of surface
fluxes is significantly affected by the introduction of tiles. In
the dry season, the use of tiles in the simulation increases the
magnitude of precipitation (about 7 mm day\−1), skin
temperature (about 4 °C), sensible heat flux (about 80 W
m\−2) and surface albedo (about 0.7). It reduces the latent
heat flux (about 30 W m\−2) and net radiation (about 40 W
m\−2). On the other hand, in the rainy season, the model
produces excessive precipitation. This may have partly masked the
signs of the land fragmentation impact. The tile experiment
generates a warmer and drier boundary layer during the dry season.
The impact of the surface heterogeneity representation is higher
in the dry season than in the rainy season. The results suggest
that the degree of impact of the subgrid process representation on
the local climate is related to the spatial scale of the
fragmentation. The use of the tile approach improves the
representation of the effects of landscape heterogeneity on the
spatial distribution of surface flux variability in fragmented
areas. Comparison against measured data from flux towers in the
region show that the model can simulate diurnal and seasonal
variations in the local fluxes, despite the biases.",
doi = "10.1002/qj.3026",
url = "http://dx.doi.org/10.1002/qj.3026",
issn = "0035-9009",
label = "lattes: 4336175279058172 3 PilottoRoChToSaGo:2017:EfSuHe",
language = "en",
targetfile = "pilotto_effects.pdf",
urlaccessdate = "29 mar. 2024"
}