气候变化领域集成服务门户(CCPortal): Improved detection of interannual cloud variability over the southern hemisphere using legacy satellites

CCPortal

DOI	10.1175/JCLI-D-19-0758.1
	Improved detection of interannual cloud variability over the southern hemisphere using legacy satellites
	Liu S.; Staten P.W.; Kahn B.H.
发表日期	2020
ISSN	0894-8755
起始页码	8225
结束页码	8236
卷号	33 期号:19
英文摘要	Shifts in deep tropical convection and midlatitude jet streams both manifest themselves in high cloud anomalies. Such anomalies may play a significant role in local to global climate processes. This work investigates how high cloud properties covary with two primary interannual modes of variability in the Southern Hemisphere (SH): El Niño-Southern Oscillation (ENSO) and the southern annular mode (SAM). In contrast to several recent studies that utilize the latest remote sensing datasets (e.g., CloudSat), we employ a novel combination of imager and sounder data from legacy satellite instruments. Using these legacy data, we confirm the poleward shift of high cloud fields in the SH midlatitudes with SAM seen in other recent studies and characterize the opposing impacts of SAM and ENSO on the South Pacific convergence zone and Southern Hemisphere storm tracks. Furthermore, we demonstrate that the standard deviation of brightness temperature data from the window channel acts as a surrogate for high cloud fraction in the tropics and midlatitudes. Our results reconcile apparent differences in recent studies and suggest that brightness temperature standard deviations are climate relevant, in addition to being largely insensitive to instrument calibration. © 2020 American Meteorological Society.
英文关键词	Atmospheric pressure; Luminance; Remote sensing; Statistics; Temperature; Tropics; Brightness temperatures; Deep tropical convection; Instrument calibrations; Satellite instruments; South pacific convergence zones; Southern Annular Mode; Southern hemisphere storm tracks; Southern oscillation; Climatology; annual variation; brightness temperature; calibration; cloud microphysics; CloudSat; detection method; El Nino-Southern Oscillation; jet stream; marine atmosphere; remote sensing; satellite data; Southern Hemisphere; Pacific Ocean; Pacific Ocean (South)
语种	英语
来源期刊	Journal of Climate
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/171100
作者单位	Indiana University Bloomington, Bloomington, IN, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
推荐引用方式 GB/T 7714	Liu S.,Staten P.W.,Kahn B.H.. Improved detection of interannual cloud variability over the southern hemisphere using legacy satellites[J],2020,33(19).
APA	Liu S.,Staten P.W.,&Kahn B.H..(2020).Improved detection of interannual cloud variability over the southern hemisphere using legacy satellites.Journal of Climate,33(19).
MLA	Liu S.,et al."Improved detection of interannual cloud variability over the southern hemisphere using legacy satellites".Journal of Climate 33.19(2020).