气候变化领域集成服务门户(CCPortal): The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O)-Part 2: Development and evaluation

CCPortal

DOI	10.5194/tc-14-2387-2020
	The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O)-Part 2: Development and evaluation
	Burgard C.; Notz D.; Pedersen L.T.; Tonboe R.T.
发表日期	2020
ISSN	19940416
起始页码	2387
结束页码	2407
卷号	14 期号:7
英文摘要	The observational uncertainty in sea ice concentration estimates from remotely sensed passive microwave brightness temperatures is a challenge for reliable climate model evaluation and initialization. To address this challenge, we introduce a new tool: the Arctic Ocean Observation Operator (ARC3O). ARC3O allows us to simulate brightness temperatures at 6.9 GHz at vertical polarization from standard output of an Earth System Model. To evaluate sources of uncertainties when applying ARC3O, we compare brightness temperatures simulated by applying ARC3O on three assimilation runs of the MPI Earth System Model (MPI-ESM), assimilated with three different sea ice concentration products, with brightness temperatures measured by the Advanced Microwave Scanning Radiometer Earth Observing System (AMSR-E) from space. We find that the simulated and observed brightness temperatures differ up to 10 K in the period between October and June, depending on the region and the assimilation run. We show that these discrepancies between simulated and observed brightness temperature can be attributed mainly to the underlying observational uncertainty in sea ice concentration and, to a lesser extent, to the data assimilation process, rather than to biases in ARC3O itself. In summer, the discrepancies between simulated and observed brightness temperatures are larger than in winter and locally reach up to 20 K. This is caused by the very large observational uncertainty in summer sea ice concentration and the melt pond parametrization in MPI-ESM, which is not necessarily realistic. ARC3O is therefore capable of realistically translating the simulated Arctic Ocean climate state into one observable quantity for a more comprehensive climate model evaluation and initialization. © 2020 Author(s).
英文关键词	AMSR-E; brightness temperature; climate modeling; EOS; observational method; sea ice; Arctic Ocean
语种	英语
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/202036
作者单位	Max Planck Institute for Meteorology, Hamburg, Germany; International Max Planck Research School for Earth System Modelling, Hamburg, Germany; Institute of Oceanography, Center for Earth System Research and Sustainability, Universität Hamburg, Hamburg, Germany; National Space Institute, Technical University of Denmark, Lyngby, Denmark; Danish Meteorological Institute, Copenhagen, Denmark
推荐引用方式 GB/T 7714	Burgard C.,Notz D.,Pedersen L.T.,et al. The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O)-Part 2: Development and evaluation[J],2020,14(7).
APA	Burgard C.,Notz D.,Pedersen L.T.,&Tonboe R.T..(2020).The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O)-Part 2: Development and evaluation.Cryosphere,14(7).
MLA	Burgard C.,et al."The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O)-Part 2: Development and evaluation".Cryosphere 14.7(2020).