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DOI10.5194/acp-22-8259-2022
An evaluation of the liquid cloud droplet effective radius derived from MOMS, airborne remote sensing, and in situ measurements from CAMP(2)Ex
Fu, Dongwei; Di Girolamo, Larry; Rauber, Robert M.; McFarquhar, Greg M.; Nesbitt, Stephen W.; Loveridge, Jesse; Hong, Yulan; van Diedenhoven, Bastiaan; Cairns, Brian; Alexandrov, Mikhail D.; Lawson, Paul; Woods, Sarah; Tanelli, Simone; Schmidt, Sebastian; Hostetler, Chris; Scarino, Amy Jo
发表日期2022
ISSN1680-7316
EISSN1680-7324
起始页码8259
结束页码8285
卷号22期号:12页码:27
英文摘要The cloud drop effective radius (Re) of the drop size distribution derived from passive satellite sensors is a key variable used in climate research. Validation of these satellite products has often taken place under stratiform cloud conditions that favor the assumption of cloud horizontal homogeneity used by the retrieval techniques. However, many studies have noted concerns with respect to significant biases in retrieved R-e arising from cloud heterogeneity, for example, in cumulus cloud fields. Here, we examine data collected during the 2019 Cloud, Aerosol and Monsoon Processes Philippines Experiment (CAMP(2)Ex), which, in part, targeted the objective of providing the first detailed evaluation of R-e retrieved across multiple platforms and techniques in a cumulus and congestus cloud region. Our evaluation consists of cross-comparisons of R-e between the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the Terra satellite, the Research Scanning Polarimeter (RSP) onboard the NASA P-3 aircraft, and in situ measurements from both the NASA P-3 and Learjet aircraft that are all taken in close spatiotemporal proximity to the same cloud fields. A particular advantage of our approach lies in the capability of the RSP to retrieve Re using a bi-spectral MODIS approach and a polarimetric approach, which allows for the evaluation of bi-spectral and polarimetric R-e retrievals from an airborne perspective using the same samples. Averaged over all P-3 flight segments examined here for warm clouds, the RSP polarimetric method, the in situ method, and the bias-adjusted MODIS method of Fu et al. (2019) show a comparable median (mean +/- standard deviation) for the R-e samples of 9.6 (10.2 +/- 4.0) mu m, 11.0 (13.6 +/- 11.3) mu m, and 10.4 (10.8 +/- 3.8) mu m, respectively. These values are far lower than the values of 15.1 (16.2 +/- 5.5) mu m and 17.2 (17.7 +/- 5.7) mu m from the bi-spectral retrievals of RSP and MODIS, respectively. Similar results are observed when R-e is segregated by cloud-top height and in detailed case studies. The clouds sampled during CAMP(2)Ex consist of mostly small (mean transect length similar to 1.4 km) and low clouds (mean cloud-top height similar to 1 km), which had more numerous small clouds than the trade wind cumuli sampled in past field campaigns such as Rain in Shallow Cumulus over the Ocean (RICO) and the Indian Ocean Experiment (INDOEX). The overestimates of R-e from the RSP bi-spectral technique compared with the polarimetric technique increased as cloud size and cloud optical depth decreased. Drizzle, cloud-top bumpiness, and solar zenith angle, however, are not closely correlated with the overestimate of bi-spectral R-e. For shallow clouds that dominated the liquid cloud cover for the CAMP(2)Ex region and period, we show that 3-D radiative transfer and cloud heterogeneity, particularly for the optically thin and small clouds, appear to be the leading cause of the large positive biases in bi-spectral retrievals. Because this bias varies with the underlying structure of the cloud field, caution continues to be warranted in studies that use bi-spectral R-e retrievals in cumulus cloud fields.
学科领域Environmental Sciences; Meteorology & Atmospheric Sciences
语种英语
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号WOS:000816588900001
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/273779
作者单位University of Illinois System; University of Illinois Urbana-Champaign; University of Oklahoma System; University of Oklahoma - Norman; University of Oklahoma System; University of Oklahoma - Norman; National Aeronautics & Space Administration (NASA); NASA Goddard Space Flight Center; National Aeronautics & Space Administration (NASA); NASA Jet Propulsion Laboratory (JPL); University of Colorado System; University of Colorado Boulder; University of Colorado System; University of Colorado Boulder; National Aeronautics & Space Administration (NASA); NASA Langley Research Center; Science Systems and Applications Inc
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Fu, Dongwei,Di Girolamo, Larry,Rauber, Robert M.,et al. An evaluation of the liquid cloud droplet effective radius derived from MOMS, airborne remote sensing, and in situ measurements from CAMP(2)Ex[J],2022,22(12):27.
APA Fu, Dongwei.,Di Girolamo, Larry.,Rauber, Robert M..,McFarquhar, Greg M..,Nesbitt, Stephen W..,...&Scarino, Amy Jo.(2022).An evaluation of the liquid cloud droplet effective radius derived from MOMS, airborne remote sensing, and in situ measurements from CAMP(2)Ex.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(12),27.
MLA Fu, Dongwei,et al."An evaluation of the liquid cloud droplet effective radius derived from MOMS, airborne remote sensing, and in situ measurements from CAMP(2)Ex".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.12(2022):27.
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