Retrieval of Aerosol Optical Depth above Clouds from OMI Observations: Sensitivity Analysis and Case Studies

被引:110
作者
Torres, Omar [1 ]
Jethva, Hiren [2 ]
Bhartia, P. K. [1 ]
机构
[1] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[2] Hampton Univ, Dept Atmospher & Planetary Sci, Hampton, VA 23668 USA
关键词
SAFARI; 2000; SPECTRAL DEPENDENCE; MULTIPLE-SCATTERING; LIGHT-ABSORPTION; SMOKE; TRANSPORT; PARTICLES; RADIATION; AERONET; CALIPSO;
D O I
10.1175/JAS-D-11-0130.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A large fraction of the atmospheric aerosol load reaching the free troposphere is frequently located above low clouds. Most commonly observed aerosols above clouds are carbonaceous particles generally associated with biomass burning and boreal forest fires, and mineral aerosols originating in arid and semiarid regions and transported across large distances, often above clouds. Because these aerosols absorb solar radiation, their role in the radiative transfer balance of the earth atmosphere system is especially important. The generally negative (cooling) top-of-the-atmosphere direct effect of absorbing aerosols may turn into warming when the light-absorbing particles are located above clouds. The actual effect depends on the aerosol load and the single scattering albedo, and on the geometric cloud fraction. In spite of its potential significance, the role of aerosols above clouds is not adequately accounted for in the assessment of aerosol radiative forcing effects due to the lack of measurements. This paper discusses the basis of a simple technique that uses near-UV observations to simultaneously derive the optical depth of both the aerosol layer and the underlying cloud for overcast conditions. The two-parameter retrieval method described here makes use of the UV aerosol index and reflectance measurements at 388 nm. A detailed sensitivity analysis indicates that the measured radiances depend mainly on the aerosol absorption exponent and aerosol cloud separation. The technique was applied to above-cloud aerosol events over the southern Atlantic Ocean, yielding realistic results as indicated by indirect evaluation methods. An error analysis indicates that for typical overcast cloudy conditions and aerosol loads, the aerosol optical depth can be retrieved with an accuracy of approximately 54% whereas the cloud optical depth can be derived within 17% of the true value.
引用
收藏
页码:1037 / 1053
页数:17
相关论文
共 50 条
[41]   Evaluating Aerosol Optical Depth Retrieved From VIIRS Using Global Scale, Multi-Seasonal Airborne Observations [J].
Wang, Siyuan ;
Brock, Charles ;
Kondragunta, Shobha ;
Laszlo, Istvan ;
Mcdonald, Brian .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2024, 129 (12)
[42]   Improved Bi-Angle Aerosol Optical Depth Retrieval Algorithm from AHI Data Based on Particle Swarm Optimization [J].
Jin, Chunlin ;
Xue, Yong ;
Jiang, Xingxing ;
Sun, Yuxin ;
Wu, Shuhui .
REMOTE SENSING, 2021, 13 (22)
[43]   Post-processing to remove residual clouds from aerosol optical depth retrieved using the Advanced Along Track Scanning Radiometer [J].
Sogacheva, Larisa ;
Kolmonen, Pekka ;
Virtanen, Timo H. ;
Rodriguez, Edith ;
Saponaro, Giulia ;
de Leeuw, Gerrit .
ATMOSPHERIC MEASUREMENT TECHNIQUES, 2017, 10 (02) :491-505
[44]   Comparison of aerosol optical depth from satellite (MODIS), sun photometer and broadband pyrheliometer ground-based observations in Cuba [J].
Carlos Antuna-Marrero, Juan ;
Cachorro Revilla, Victoria ;
Garcia Parrado, Frank ;
de Frutos Baraja, Angel ;
Rodriguez Vega, Albeth ;
Mateos, David ;
Estevan Arredondo, Rene ;
Toledano, Carlos .
ATMOSPHERIC MEASUREMENT TECHNIQUES, 2018, 11 (04) :2279-2293
[45]   A Deep-Neural-Network-Based Aerosol Optical Depth (AOD) Retrieval from Landsat-8 Top of Atmosphere Data [J].
She, Lu ;
Zhang, Hankui K. ;
Bu, Ziqiang ;
Shi, Yun ;
Yang, Lu ;
Zhao, Jintao .
REMOTE SENSING, 2022, 14 (06)
[46]   Retrieval of Aerosol Optical Depth from the Himawari-8 Advanced Himawari Imager data: Application over Beijing in the summer of 2016 [J].
Wang, Lei ;
Yu, Chao ;
Cai, Kun ;
Zheng, Fengbin ;
Li, Shenshen .
ATMOSPHERIC ENVIRONMENT, 2020, 241
[47]   Aerosol Optical Depth over the Arctic Snow-Covered Regions Derived from Dual-Viewing Satellite Observations [J].
Shi, Zheng ;
Xing, Tingyan ;
Guang, Jie ;
Xue, Yong ;
Che, Yahui .
REMOTE SENSING, 2019, 11 (08)
[48]   Cirrus optical depth and lidar ratio retrieval from combined CALIPSO-CloudSat observations using ocean surface echo [J].
Josset, Damien ;
Pelon, Jacques ;
Garnier, Anne ;
Hu, Yongxiang ;
Vaughan, Mark ;
Zhai, Peng-Wang ;
Kuehn, Ralph ;
Lucker, Pat .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2012, 117
[49]   Retrieval of Fine-Resolution Aerosol Optical Depth (AOD) in Semiarid Urban Areas Using Landsat Data: A Case Study in Urumqi, NW China [J].
Chen, Xiangyue ;
Ding, Jianli ;
Wang, Jingzhe ;
Ge, Xiangyu ;
Raxidin, Mayira ;
Liang, Jing ;
Chen, Xiaoxiao ;
Zhang, Zipeng ;
Cao, Xiaoyi ;
Ding, Yue .
REMOTE SENSING, 2020, 12 (03)
[50]   Validation and Accuracy Analysis of the Collection 6.1 MODIS Aerosol Optical Depth Over the Westernmost City in China Based on the Sun-Sky Radiometer Observations From SONET [J].
Huang, Guan ;
Chen, Yonghang ;
Li, Zhengqiang ;
Liu, Qiong ;
Wang, Yanyu ;
He, Qianshan ;
Liu, Tongqiang ;
Liu, Xin ;
Zhang, Yang ;
Gao, Jiacheng ;
Yao, Yifeng .
EARTH AND SPACE SCIENCE, 2020, 7 (03)