气候变化领域集成服务门户(CCPortal): Arctic sea ice signatures: L-band brightness temperature sensitivity comparison using two radiation transfer models

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DOI	10.5194/tc-12-921-2018
	Arctic sea ice signatures: L-band brightness temperature sensitivity comparison using two radiation transfer models
	Richter F.; Drusch M.; Kaleschke L.; Maaß N.; Tian-Kunze X.; Mecklenburg S.
发表日期	2018
ISSN	19940416
卷号	12 期号:3
英文摘要	Sea ice is a crucial component for short-, medium- and long-term numerical weather predictions. Most importantly, changes of sea ice coverage and areas covered by thin sea ice have a large impact on heat fluxes between the ocean and the atmosphere. L-band brightness temperatures from ESA's Earth Explorer SMOS (Soil Moisture and Ocean Salinity) have been proven to be a valuable tool to derive thin sea ice thickness. These retrieved estimates were already successfully assimilated in forecasting models to constrain the ice analysis, leading to more accurate initial conditions and subsequently more accurate forecasts. However, the brightness temperature measurements can potentially be assimilated directly in forecasting systems, reducing the data latency and providing a more consistent first guess. As a first step towards such a data assimilation system we studied the forward operator that translates geophysical parameters provided by a model into brightness temperatures. We use two different radiative transfer models to generate top of atmosphere brightness temperatures based on ORAP5 model output for the 2012/2013 winter season. The simulations are then compared against actual SMOS measurements. The results indicate that both models are able to capture the general variability of measured brightness temperatures over sea ice. The simulated brightness temperatures are dominated by sea ice coverage and thickness changes are most pronounced in the marginal ice zone where new sea ice is formed. There we observe the largest differences of more than 20K over sea ice between simulated and observed brightness temperatures. We conclude that the assimilation of SMOS brightness temperatures yields high potential for forecasting models to correct for uncertainties in thin sea ice areas and suggest that information on sea ice fractional coverage from higher-frequency brightness temperatures should be used simultaneously. © Author(s) 2018.
学科领域	brightness temperature; comparative study; data assimilation; forecasting method; ice cover; ice thickness; marginal ice zone; model; radiative transfer; sea ice; sensitivity analysis; simulation; SMOS; top of atmosphere; Arctic Ocean
语种	英语
scopus关键词	brightness temperature; comparative study; data assimilation; forecasting method; ice cover; ice thickness; marginal ice zone; model; radiative transfer; sea ice; sensitivity analysis; simulation; SMOS; top of atmosphere; Arctic Ocean
来源期刊	Cryosphere
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/119201
作者单位	European Space Agency, ESA-ESTEC, Noordwijk, 2200 AG, Netherlands; European Space Agency, ESA-ESRIN, Via Galileo Galilei, casella postale 64, Frascati, 00044, Italy; Institute of Oceanography, University of Hamburg, Bundesstraße 53, Hamburg, 20146, Germany
推荐引用方式 GB/T 7714	Richter F.,Drusch M.,Kaleschke L.,et al. Arctic sea ice signatures: L-band brightness temperature sensitivity comparison using two radiation transfer models[J],2018,12(3).
APA	Richter F.,Drusch M.,Kaleschke L.,Maaß N.,Tian-Kunze X.,&Mecklenburg S..(2018).Arctic sea ice signatures: L-band brightness temperature sensitivity comparison using two radiation transfer models.Cryosphere,12(3).
MLA	Richter F.,et al."Arctic sea ice signatures: L-band brightness temperature sensitivity comparison using two radiation transfer models".Cryosphere 12.3(2018).