气候变化领域集成服务门户(CCPortal): Joint cloud water path and rainwater path retrievals from airborne ORACLES observations

CCPortal

DOI	10.5194/acp-21-5513-2021
	Joint cloud water path and rainwater path retrievals from airborne ORACLES observations
	Dzambo A.M.; L'Ecuyer T.; Sinclair K.; Van DIedenhoven B.; Gupta S.; McFarquhar G.; O'Brien J.R.; Cairns B.; Wasilewski A.P.; Alexandrov M.
发表日期	2021
ISSN	1680-7316
起始页码	5513
结束页码	5532
卷号	21 期号:7
英文摘要	This study presents a new algorithm that combines W-band reflectivity measurements from the Airborne Precipitation Radar - third generation (APR-3) passive radiometric cloud optical depth and effective radius retrievals from the Research Scanning Polarimeter (RSP) to estimate total liquid water path in warm clouds and identify the contributions from cloud water path (CWP) and rainwater path (RWP). The resulting CWP estimates are primarily determined by the optical depth input, although reflectivity measurements contribute - 10 %-50%of the uncertainty due to attenuation through the profile. Uncertainties in CWP estimates across all conditions are 25% to 35 %, while RWP uncertainty estimates frequently exceed 100 %. Two-thirds of all radar-detected clouds observed during the ObseRvations of Aerosols above CLouds and their intEractionS (ORACLES) campaign that took place from 2016- 2018 over the southeast Atlantic Ocean have CWP between 41 and 168 gm-2 and almost all CWPs (99 %) between 6 to 445 gm-2. RWP, by contrast, typically makes up a much smaller fraction of total liquid water path (LWP), with more than 70% of raining clouds having less than 10 gm-2 of rainwater. In heavier warm rain (i.e., rain rate exceeding 40mmh-1 or 1000mmd-1), however, RWP is observed to exceed 2500 gm-2. CWP (RWP) is found to be approximately 30 gm-2 (7 gm-2) larger in unstable environments compared to stable environments. Surface precipitation is also more than twice as likely in unstable environments. Comparisons against in situ cloud microphysical probe data spanning the range of thermodynamic stability and meteorological conditions encountered across the southeast Atlantic basin demonstrate that the combined APR-3 and RSP dataset enable a robust joint cloud-precipitation retrieval algorithm to support future ORACLES precipitation susceptibility and cloud-aerosol-precipitation interaction studies. © 2021 Copernicus GmbH. All rights reserved.
语种	英语
scopus关键词	airborne sensing; algorithm; cloud water; optical depth; radiometer; rainwater; Atlantic Ocean; Atlantic Ocean (Southeast)
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/246985
作者单位	Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, WI, United States; Cooperative Institute for Mesoscale Meteorological Studies (CIMMS), University of Oklahoma, Norman, OK, United States; NASA Goddard Institute for Space Studies, New York, United States; Universities Space Research Association (USRA), Columbia, MD 21046, United States; Center for Climate Systems Research, Columbia University, New York, United States; School of Aerospace Sciences, University of North Dakota, Grand Forks, ND 58202, United States; SciSpace LLC, New York City, NY, United States
推荐引用方式 GB/T 7714	Dzambo A.M.,L'Ecuyer T.,Sinclair K.,et al. Joint cloud water path and rainwater path retrievals from airborne ORACLES observations[J],2021,21(7).
APA	Dzambo A.M..,L'Ecuyer T..,Sinclair K..,Van DIedenhoven B..,Gupta S..,...&Alexandrov M..(2021).Joint cloud water path and rainwater path retrievals from airborne ORACLES observations.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(7).
MLA	Dzambo A.M.,et al."Joint cloud water path and rainwater path retrievals from airborne ORACLES observations".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.7(2021).