Retrieval of Cloud Properties UsingCALIPSOImaging Infrared Radiometer. Part I Effective Emissivity and Optical Depth
The paper describes the operational analysis of the Imaging Infrared Radiometer (IIR) data, which have been collected in the framework of theCloud–Aerosol Lidar and Infrared Pathfinder Satellite Observation(CALIPSO) mission for the purpose of retrieving high-altitude (above 7 km) cloud effective emi...
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Published in | Journal of applied meteorology and climatology Vol. 51; no. 7; pp. 1407 - 1425 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
American Meteorological Society
01.07.2012
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Abstract | The paper describes the operational analysis of the Imaging Infrared Radiometer (IIR) data, which have been collected in the framework of theCloud–Aerosol Lidar and Infrared Pathfinder Satellite Observation(CALIPSO) mission for the purpose of retrieving high-altitude (above 7 km) cloud effective emissivity and optical depth that can be used in synergy with the vertically resolved Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) collocated observations. After an IIR scene classification is built under the CALIOP track, the analysis is applied to features detected by CALIOP when found alone in the atmospheric column or when CALIOP identifies an opaque layer underneath. The fast-calculation radiative transfer (FASRAD) model fed by ancillary meteorological and surface data is used to compute the different components involved in the effective emissivity retrievals under the CALIOP track. The track analysis is extended to the IIR swath using homogeneity criteria that are based on radiative equivalence. The effective optical depth at 12.05μm is shown to be a good proxy for about one-half of the cloud optical depth, allowing direct comparisons with other databases in the visible spectrum. A step-by-step quantitative sensitivity and performance analysis is provided. The method is validated through comparisons of collocated IIR and CALIOP optical depths for elevated single-layered semitransparent cirrus clouds, showing excellent agreement (within 20%) for values ranging from 1 down to 0.05. Uncertainties have been determined from the identified error sources. The optical depth distribution of semitransparent clouds is found to have a nearly exponential shape with a mean value of about 0.5–0.6. |
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AbstractList | The paper describes the operational analysis of the Imaging Infrared Radiometer (IIR) data, which have been collected in the framework of theCloud–Aerosol Lidar and Infrared Pathfinder Satellite Observation(CALIPSO) mission for the purpose of retrieving high-altitude (above 7 km) cloud effective emissivity and optical depth that can be used in synergy with the vertically resolved Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) collocated observations. After an IIR scene classification is built under the CALIOP track, the analysis is applied to features detected by CALIOP when found alone in the atmospheric column or when CALIOP identifies an opaque layer underneath. The fast-calculation radiative transfer (FASRAD) model fed by ancillary meteorological and surface data is used to compute the different components involved in the effective emissivity retrievals under the CALIOP track. The track analysis is extended to the IIR swath using homogeneity criteria that are based on radiative equivalence. The effective optical depth at 12.05μm is shown to be a good proxy for about one-half of the cloud optical depth, allowing direct comparisons with other databases in the visible spectrum. A step-by-step quantitative sensitivity and performance analysis is provided. The method is validated through comparisons of collocated IIR and CALIOP optical depths for elevated single-layered semitransparent cirrus clouds, showing excellent agreement (within 20%) for values ranging from 1 down to 0.05. Uncertainties have been determined from the identified error sources. The optical depth distribution of semitransparent clouds is found to have a nearly exponential shape with a mean value of about 0.5–0.6. |
Author | Faivre, Michaël Dubuisson, Philippe Chomette, Olivier Kratz, David P. Pascal, Nicolas Garnier, Anne Pelon, Jacques |
Author_xml | – sequence: 1 givenname: Anne surname: Garnier fullname: Garnier, Anne organization: Laboratoire Atmosphères, Milieux, Observations Spatiales, UPMC-UVSQ-CNRS, Paris, France – sequence: 2 givenname: Jacques surname: Pelon fullname: Pelon, Jacques organization: Laboratoire Atmosphères, Milieux, Observations Spatiales, UPMC-UVSQ-CNRS, Paris, France – sequence: 3 givenname: Philippe surname: Dubuisson fullname: Dubuisson, Philippe organization: Laboratoire d’Optique Atmosphérique, Université de Lille 1, Lille, France – sequence: 4 givenname: Michaël surname: Faivre fullname: Faivre, Michaël organization: Laboratoire Atmosphères, Milieux, Observations Spatiales, UPMC-UVSQ-CNRS, Paris, France – sequence: 5 givenname: Olivier surname: Chomette fullname: Chomette, Olivier organization: Laboratoire de Météorologie Dynamique, Ecole Polytechnique, Palaiseau, France – sequence: 6 givenname: Nicolas surname: Pascal fullname: Pascal, Nicolas organization: Hygeos, Lille, France – sequence: 7 givenname: David P. surname: Kratz fullname: Kratz, David P. organization: NASA Langley Research Center, Hampton, Virginia |
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Snippet | The paper describes the operational analysis of the Imaging Infrared Radiometer (IIR) data, which have been collected in the framework of theCloud–Aerosol... |
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SubjectTerms | Aerosols Altitude Brightness temperature Centroids Cirrus clouds Clouds Emissivity Optical thickness Pixels Radiance |
Subtitle | Effective Emissivity and Optical Depth |
Title | Retrieval of Cloud Properties UsingCALIPSOImaging Infrared Radiometer. Part I |
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