A24A:
Advances in Atmospheric Remote Sensing Techniques and Theories II

Submit an Abstract to this Session



Session ID#: 33027

Session Description:
Space-borne remote-sensing techniques and theories for measuring atmospheric compositions including clouds, aerosols, and gases have advanced rapidly in recent years. Ground-based and in situ detection of atmospheric components, such as cloud and aerosol particles, are essential to calibrate and validate satellite measurements. Fundamental atmospheric physics, such as light scattering and radiative transfer in the atmosphere, is critical for the comprehension of remotely sensed data. This AGU session will tackle all these topics in order to seek the trend and novel developments in the atmospheric remote sensing field. New techniques such as spectral and polarimetric measurements of the atmospheric compositions, active instrument detection of aerosols or gases, and latest development in optical remote sensing algorithms and instruments and radiative transfer and light scattering modeling are especially welcomed. This session invites the atmospheric remote sensing community to report their results and discuss future directions of atmospheric remote sensing.
Primary Convener:  Wenbo Sun, Science Systems and Applications, Inc. Hampton, Hampton, VA, United States
Conveners:  Yongxiang Hu, NASA Langley Research Center, Hampton, VA, United States and Gorden Videen, Space Science Institute Boulder, Boulder, CO, United States
Chairs:  Gorden Videen, Space Science Institute Boulder, Boulder, CO, United States, Wenbo Sun, Science Systems and Applications, Inc. Hampton, Hampton, VA, United States and Yongxiang Hu, NASA Langley Research Center, Hampton, VA, United States
OSPA Liaison:  Gorden Videen, Space Science Institute Boulder, Boulder, CO, United States
Index Terms:

0305 Aerosols and particles [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0319 Cloud optics [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0321 Cloud/radiation interaction [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0360 Radiation: transmission and scattering [ATMOSPHERIC COMPOSITION AND STRUCTURE]

Abstracts Submitted to this Session:

Retrieving aerosol profiles through horizon shadowing and polarimetry (261100)
Gorden Videen1, Andrey Pavlov2, Evgenij Zubko3, Oleg Konstantinov2, Konstantin Shmirko2 and Alexander Mayor2, (1)Space Science Institute Boulder, Boulder, CO, United States, (2)Far Eastern Branch of Russian Academy of Science, Vladivostok, Russia, (3)Far Eastern Federal University, Vladivostok, Russia
Applications of the similarity relations in radiative transfer to remote sensing implementation and flux simulation (226693)
Ping Yang1, Jiachen Ding2, Guanglin Tang2, Michael D King3, Steven E Platnick4, Kerry Meyer4 and Eli Jay Mlawer5, (1)Texas A&M University College Station, Department of Atmospheric Sciences, College Station, TX, United States, (2)Texas A & M University College Station, College Station, TX, United States, (3)University of Colorado at Boulder, Boulder, CO, United States, (4)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (5)Atmospheric and Environmental Research, Lexington, MA, United States
Solving the inverse problem for coarse-mode aerosol particle morphology with digital holography (217983)
Matthew Berg, Kansas State University, Department of Physics, Manhattan, KS, United States, Yuli Wang Heinson, Washington University in St Louis, Environmental $ Chemical Engineering, St. Louis, MO, United States, Osku Kemppinen, Kansas State University, Manhattan, KS, United States and Stephen Holler, Fordham University, Physics & Engineering Physics, Bronx, United States
Modeling polarized solar spectra from various scene types (217957)
Wenbo Sun1, Bruce A Wielicki2, Rosemary R Baize2 and Constantine Lukashin2, (1)Science Systems and Applications, Inc. Hampton, Hampton, VA, United States, (2)NASA Langley Research Center, Hampton, VA, United States
New Approach to the Retrieval of AOD and its Uncertainty from MISR Observations Over Dark Water (283112)
Marcin L Witek1, Michael J Garay2, David J Diner1, Michael A Bull3 and Felix Seidel1, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, CA, United States

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