气候变化领域集成服务门户(CCPortal): Impacts of AMSU-A inter-sensor calibration and diurnal correction on satellite-derived linear and nonlinear decadal climate trends of atmospheric temperature

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DOI	10.1007/s00382-019-05057-9
	Impacts of AMSU-A inter-sensor calibration and diurnal correction on satellite-derived linear and nonlinear decadal climate trends of atmospheric temperature
	Xia X.; Zou X.
发表日期	2020
ISSN	0930-7575
起始页码	1245
结束页码	1265
卷号	54
英文摘要	Satellite microwave temperature sounding data have been widely used in the study of climate trends over the past decades. When merging advanced microwave sounding unit-A (AMSU-A) data from 1998 to 2017 from different satellites, brightness temperature observations can be affected by differences in the center frequency, incidence angle, and local equator crossing time (LECT) among the instruments. Atmospheric drag and gravity variations with latitude can also cause orbital drift that leads to changes in LECT of the same instrument. Inter-sensor calibration and diurnal correction are thus necessary before applying AMSU-A data to climate studies. In this study, AMSU-A data from the National Oceanic and Atmospheric Administration’s (NOAA’s) -15, -18, and -19 satellites and the European Organization for the Exploitation of Meteorological Satellites MetOp-A/-B collected during 1998–2017 were first inter-calibrated by a double difference method to remove inter-sensor biases. AMSU-A data from NOAA-18 was used as the reference for the double difference inter-sensor calibration. A diurnal correction was then applied to data over the Amazon rainforest to eliminate the effects of different LECTs. Finally, linear and nonlinear climate trends were calculated to show that warming (cooling) trends over the Amazon rainforest for window and tropospheric AMSU-A channels 1–8 and 15 (stratospheric channels 9–14) significantly decreased (increased) if inter-sensor calibration and a diurnal correction was applied. The nonlinear climate trends reveal more rapid warming trends for tropospheric sounding channels 3–7 and 15 and less rapid cooling trends for stratospheric channels 10–12 during 1998–2008 than during 2008–2017. Channels 1–2 (channel 13) have cooling (warming) and warming (cooling) trends before and after 2008, respectively. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.
英文关键词	AMSU-A; Climate trend; Diurnal correction; Inter-calibration
语种	英语
scopus关键词	climate modeling; correction; decadal variation; diurnal variation; nonlinearity; satellite imagery; temperature anomaly; trend analysis; Europe
来源期刊	Climate Dynamics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/145645
作者单位	Joint Center of Data Assimilation for Research and Application, Nanjing University of Information Science and Technology, Nanjing, China; Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740-3823, United States
推荐引用方式 GB/T 7714	Xia X.,Zou X.. Impacts of AMSU-A inter-sensor calibration and diurnal correction on satellite-derived linear and nonlinear decadal climate trends of atmospheric temperature[J],2020,54.
APA	Xia X.,&Zou X..(2020).Impacts of AMSU-A inter-sensor calibration and diurnal correction on satellite-derived linear and nonlinear decadal climate trends of atmospheric temperature.Climate Dynamics,54.
MLA	Xia X.,et al."Impacts of AMSU-A inter-sensor calibration and diurnal correction on satellite-derived linear and nonlinear decadal climate trends of atmospheric temperature".Climate Dynamics 54(2020).