@InProceedings{LimaCaKuSoBaVi:2020:InSoAm,
author = "Lima, Isabella Talamoni and Cavalcanti, Iracema Fonseca de
Albuquerque and Kubota, Paulo Yoshio and Souza, Dayana Castilho de
and Baker, Jessica and Vieira, Rita M{\'a}rcia da Silva Pinto",
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)} and {University of Leeds} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Influence of the South America rainy season onset on surface
processes in IBIS-offline simulations",
booktitle = "Resumos.../P{\^o}steres",
year = "2020",
editor = "Galetti, Giovana Deponte and Sena, Caio {\'A}tila Pereira and
Mand{\'u}, Tiago Bentes and Jacondino, William Duarte and Alves,
Laurizio Emanuel Ribeiro and Afonso, Eliseu Oliveira Afonso",
organization = "Encontro dos Alunos de P{\'o}s-Gradua{\c{c}}{\~a}o em
Meteorologia do CPTEC/INPE, 19. (EPGMET)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "IBIS-OFFLINE, Surface Processes, South American Monsoon System,
Vegetation Map.",
abstract = "The onset of the South American Monsoon System (SAMS) is
characterized by the rapid shift of intense convective activity
from the northwestern Amazon basin to southern South America (SA),
and determines the timing of the rainy season onset.
Surface-atmosphere interactions affect the large-scale circulation
and consequently influence the SAMS. Climate models that include
realistic representation of these biophysical processes are
therefore expected to provide more accurate predictions of weather
and climate over the SAMS region. The objective of this study was
to evaluate how atmospheric forcings affected land surface
processes in years when the rainy season onset occurred early
(2006-2007), neutral (2004-2005) and late (2008-2009). Experiments
were performed using the Integrated BIosphere Simulator (IBIS)
model, forced with reanalyses data. The sensitivity of the IBIS
model was evaluated using two different vegetation maps: a natural
map (NAT, which did not account for land-cover change, LCC) and an
updated map (DEG), which merged the original map with a LCC map of
the Brazilian territory. In the updated map, degraded natural
biomes in the Brazilian territory (mainly the Atlantic Forest and
the Cerrado) were replaced by cultivation areas or pasture and,
for this reason, showed changes in the surface variables.
Simulations were performed offline to assess the impact of
changing the land surface cover with the atmospheric state
forcing. The difference between the simulations with the NAT and
the DEG map was calculated for SeptemberNovember (SON) and
December¬February (DJF). These differences showed that, DEG
simulations have reduced soil moisture over the central and
southern Brazil area in SON and DJF compared to the NAT
simulations. In the same area for DEG simulations, the albedo
increased, and thus more short-wave radiation was reflected in
response to the reduction in soil moisture, resulting in reduction
of latent and sensible heat fluxes at the surface. The replacement
of forest-type vegetation (Atlantic Forest) by shorter vegetation
(pasture) also induced a reduction in evapotranspiration,
contributing to the reduction of latent heat flux. In SON, the
long wave emission temperature decreased in an area close to the
S{\~a}o Paulo States coast. This occurred because the reduction
of surface roughness increased flow along the eastern coast,
promoting cooling in this area. However, in DJF, the temperature
increased, when the eastern flow is less intense. Other variables
were analyzed, as net primary productivity and leaf area index,
which also presented differences between the two simulations NAT
and DEG. Overall, the simulation differences occurred mainly due
to the vegetation map cover change (NAT and DEG). Even though the
onset timing (early, neutral and late) had only a subtle effect on
the results, updating the vegetation map was found to have a
greater impact on surface processes in the early onset year
experiments, a pattern that needs to be further investigated. The
final step in the analysis will be to investigate whether using
the updated vegetation map reduces the differences between the
simulations and the observational data, mainly over the area
15-25°S, 40-50°W, where the natural biomes were more degraded.",
conference-location = "Online",
conference-year = "16-19 nov. 2020",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGPDW34R/43MHUMS",
url = "http://urlib.net/ibi/8JMKD3MGPDW34R/43MHUMS",
targetfile = "GT1_TALAMONIISABELLA - Isabella Talamoni.pdf",
type = "Estudos e Modelagem do Tempo e Clima",
urlaccessdate = "21 set. 2024"
}