气候变化领域集成服务门户(CCPortal): An AeroCom-AeroSat study: Intercomparison of satellite AOD datasets for aerosol model evaluation

CCPortal

DOI	10.5194/acp-20-12431-2020
	An AeroCom-AeroSat study: Intercomparison of satellite AOD datasets for aerosol model evaluation
	Schutgens N.; Sayer A.M.; Heckel A.; Hsu C.; Jethva H.; De Leeuw G.; Leonard P.J.T.; Levy R.C.; Lipponen A.; Lyapustin A.; North P.; Popp T.; Poulsen C.; Sawyer V.; Sogacheva L.; Thomas G.; Torres O.; Wang Y.; Kinne S.; Schulz M.; Stier P.; Schutgens N.
发表日期	2020
ISSN	16807316
起始页码	12431
结束页码	12457
卷号	20 期号:21
英文摘要	To better understand and characterize current uncertainties in the important observational constraint of climate models of aerosol optical depth (AOD), we evaluate and intercompare 14 satellite products, representing nine different retrieval algorithm families using observations from five different sensors on six different platforms. The satellite products (super-observations consisting of 11 daily aggregated retrievals drawn from the years 2006, 2008 and 2010) are evaluated with AErosol RObotic NETwork (AERONET) and Maritime Aerosol Network (MAN) data. Results show that different products exhibit different regionally varying biases (both under- and overestimates) that may reach, although a typical bias would be 15 %-25 % (depending on the product). In addition to these biases, the products exhibit random errors that can be 1.6 to 3 times as large. Most products show similar performance, although there are a few exceptions with either larger biases or larger random errors. The intercomparison of satellite products extends this analysis and provides spatial context to it. In particular, we show that aggregated satellite AOD agrees much better than the spatial coverage (often driven by cloud masks) within the 11 grid cells. Up to patterns and varies from 10 % (parts of the ocean) to 100 % (central Asia and Australia). More importantly, we show that the diversity may be used as an indication of AOD uncertainty, at least for the better performing products. This provides modellers with a global map of expected AOD uncertainty in satellite products, allows assessment of products away from AERONET sites, can provide guidance for future AERONET locations and offers suggestions for product improvements. We account for statistical and sampling noise in our analyses. Sampling noise, variations due to the evaluation of different subsets of the data, causes important changes in error metrics. The consequences of this noise term for product evaluation are discussed. © 2020 EDP Sciences. All rights reserved.
语种	英语
scopus关键词	AERONET; aerosol; data set; modeling; optical depth; satellite data
来源期刊	Atmospheric Chemistry and Physics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/143866
作者单位	Department of Earth Science, Vrije Universiteit Amsterdam, Amsterdam, 1081 HV, Netherlands; Goddard Earth Sciences, Technology, and Research (GESTAR), Universities Space Research Association, Columbia, United States; Ocean Ecology Laboratory, NASA Goddard Space Flight Center (GSFC), Greenbelt, United States; Department of Geography, Swansea University, Swansea, United Kingdom; Climate and Radiation Laboratory, NASA Goddard Space Flight Center, Greenbelt, United States; Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, United States; Royal Netherlands Meteorological Institute (KNMI), RandD Satellite Observations, De Bilt, Netherlands; ADNET Systems, Inc., Lanham, MD 20706, United States; Atmospheric Research Centre of Eastern Finland, Finnish Meteorological Institute, Kuopio, Finland; German Aerospace Center (DLR), German Remote Sensing Data Center Atmosphere, Oberpfaffenhofen, Germany; School of Earth Atmosphere and Environment, Monash University, Australia; Scie...
推荐引用方式 GB/T 7714	Schutgens N.,Sayer A.M.,Heckel A.,et al. An AeroCom-AeroSat study: Intercomparison of satellite AOD datasets for aerosol model evaluation[J],2020,20(21).
APA	Schutgens N..,Sayer A.M..,Heckel A..,Hsu C..,Jethva H..,...&Schutgens N..(2020).An AeroCom-AeroSat study: Intercomparison of satellite AOD datasets for aerosol model evaluation.Atmospheric Chemistry and Physics,20(21).
MLA	Schutgens N.,et al."An AeroCom-AeroSat study: Intercomparison of satellite AOD datasets for aerosol model evaluation".Atmospheric Chemistry and Physics 20.21(2020).