A23A:
Advances in Hyperspectral Infrared Remote Sensing in Cloudy Atmospheres Posters

Submit an Abstract to this Session



Session ID#: 25458

Session Description:
Clouds are a key component in medium range weather forecasting and climate feedback. Clouds are also the most prominent feature in infrared observations from space. However, clouds are not well represented in the medium range forecast and climate models. The models specify clouds as layers of water and ice particles imbedded in the layers defining the temperature and water vapor profiles. Until recently the ability to convert clouds specified by the models into infrared radiances observable from space has been limited by the computational challenge to deal with the Radiative Transfer Model (RTM) under cloudy conditions. This session invites the infrared atmospheric remote sensing community to report on advances in how they deal with clouds, the development of fast and accurate RTMs in cloudy atmospheres, closure between the model clouds and observed clouds, and results from validation campaigns related to clouds and cloudy RTMs.

Primary Convener:  Robert C Wilson, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Conveners:  Sergio G Desouza-Machado, University of Maryland Baltimore County, Baltimore, MD, United States and Robert C Wilson, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Chairs:  Robert L Herman, NASA Jet Propulsion Laboratory, Pasadena, CA, United States and Robert C Wilson, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
OSPA Liaison:  Robert L Herman, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Index Terms:

3310 Clouds and cloud feedbacks [ATMOSPHERIC PROCESSES]
3311 Clouds and aerosols [ATMOSPHERIC PROCESSES]
3360 Remote sensing [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

Ice cloud properties, an information content analysis from high spectral measurements in the thermal infrared (IASI like) (231277)
Laurent C.-Labonnote, Laboratoire d'Optique Atmosphérique (Lille), Villeneuve, France, Anthony James Baran, Met Office, Exeter, United Kingdom, Jerome Vidot, Meteo France, Lannion, France and Hervé Herbin, Laboratoire d'Optique Atmosphérique (Lille), Villeneuve d'ascq, France
Modeling of hyperspectral infrared spectra in cloudy atmospheres (233041)
Tianhao Le1, Vijay Natraj2, Cheng Li2, Xu Liu3, Hartmut H Aumann2, Run-Lie Shia1 and Yuk L Yung4, (1)California Institute of Technology, Pasadena, CA, United States, (2)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (3)NASA Langley Research Center, Hampton, VA, United States, (4)California Institute of Technology, Division of Geological and Planetary Sciences, Pasadena, CA, United States
Performance assessment of CRTM and RTTOV by Cloud Type (258361)
Robert C Wilson, Jet Propulsion Laboratory, Pasadena, CA, United States and Hartmut H Aumann, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Simulations of cloudy hyperspectral infrared radiances using the HT-FRTC, a fast PC-based multipurpose radiative transfer code (273326)
Stephan Havemann, Met Office Hadley center for Climate Change, Exeter, United Kingdom, Hartmut H Aumann, NASA Jet Propulsion Laboratory, Pasadena, CA, United States and Sergio G Desouza-Machado, Univ Maryland Baltimore County, Baltimore, MD, United States

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