@Article{FreireLFCMMSR:2020:WhExBi,
author = "Freire, Julliana Larise Mendon{\c{c}}a and Longo, Karla Maria and
Freitas, Saulo Ribeiro de and Coelho, Caio Augusto dos Santos and
Molod, Andrea M. and Marshak, Jelena and Silva, Arlindo da and
Ribeiro, Bruno Z.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Universities Space Research Association} and {Universities Space
Research Association} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {NASA Goddard Space Flight Center} and {NASA
Goddard Space Flight Center} and {NASA Goddard Space Flight
Center} and {University at Albany}",
title = "To what extent biomass burning aerosols impact South America
seasonal climate predictions?",
journal = "Geophysical Research Letters",
year = "2020",
volume = "47",
number = "16",
pages = "e2020GL088096",
month = "Aug.",
abstract = "We applied the Goddard Earth Observing System for subseasonal to
seasonal climate prediction to assess the impact of inclusion
biomass burning (BB) aerosols over South America (SA) during the
austral winter. We also evaluated the model sensitivity to the BB
emissions prescription using no emissions, monthly climatological,
and daily emissions. Each hindcast consisted of four members
running from June to November of each year between 2000 and 2015.
Our results indicated that interactive BB aerosols improve the
seasonal climate prediction performance over SA. More realistic
daily based emissions significantly further improve the
performance in comparison with the climatological ones. Therefore,
improvements in the BB emissions representation are urged to
represent the aerosol impacts on seasonal climate prediction
performance adequately. Plain Language Summary Vegetation fires
severely affect tropical forest and savannah\‐type biomes
in South America (SA) during winter in Southern Hemisphere.
Biomass burning (BB) aerosols are important agents changing energy
budget and clouds. This study focused on assessing whether
including aerosol\‐radiation\‐cloud interaction in a
climate model, particularly the contribution of BB aerosols, can
provide additional information for improving seasonal climate
predictions. This study has two primary outcomes. First, that
including BB aerosols does improve the model's ability to
predicted precipitation and near\‐surface temperature in
SA. Second, it proved it is indeed essential to improve BB
emissions representation to further elevate seasonal climate
prediction performance.",
doi = "10.1029/2020GL088096",
url = "http://dx.doi.org/10.1029/2020GL088096",
issn = "0094-8276",
language = "en",
targetfile = "freire_to wha.pdf",
urlaccessdate = "28 abr. 2024"
}