@Article{CasagrandeStacSouz:2023:AsAnSe,
author = "Casagrande, Fernanda and Stachelski, Let{\'{\i}}cia and Souza,
Ronald Buss de",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Assessment of Antarctic sea ice area and concentration in Coupled
Model Intercomparison Project Phase 5 and Phase 6 models",
journal = "International Journal of Climatology",
year = "2023",
volume = "43",
number = "3",
pages = "1314--1332",
month = "Mar.",
keywords = "Antarctica, climate change, climate modelling, sea ice area, sea
ice concentration.",
abstract = "Sea ice is an important and complex component of the Earth system
and is considered a sensitive indicator of climate change. The
seasonal sea ice cycle regulates the exchange of heat and
salinity, altering the energy balance between high and low
latitudes as well as the ocean and atmospheric circulation. The
accurate representation of Antarctic sea ice has been considered a
hot topic in the climate modelling community and lacks conclusive
answers. In this paper, we evaluated the ability of 11 climate
models from Coupled Model Intercomparison Project Phase 5 (CMIP5)
and Phase 6 (CMIP6) to simulate the sea ice seasonal cycle in
Antarctica in terms of area (SIA) and concentration (SIC), as well
as the improvements in the most recent models' version, submitted
to CMIP6. The results indicated that all models are able to
accurately capture the seasonal cycle of the Antarctic SIA, with
the minimum (maximum) occurring in February (September). In the
Weddell Sea, Amundsen Sea, Bellingshausen Sea, and the Ross Sea,
the simulated sea ice concentration revealed a large and
systematic bias in February when compared to observations. In
September, a large and systematic bias was found nearby the
Southern Ocean's northern limit in the Polar Front. Several CMIP6
models exhibited slight improvements on the SIA and SIC estimate
over the previous version (CMIP5). All models indicated a
significant sea ice loss in the coming years as a response to CO2
forcing. Despite the advancements in the sea ice representation,
our findings show that the models are still unable to accurately
represent the regional sea ice changes.",
doi = "10.1002/joc.7916",
url = "http://dx.doi.org/10.1002/joc.7916",
issn = "0899-8418",
language = "en",
targetfile = "Intl Journal of Climatology - 2022 - Casagrande - Assessment of
Antarctic sea ice area and concentration in Coupled Model.pdf",
urlaccessdate = "06 maio 2024"
}