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AGU: Geophysical Research Letters

 

Keywords

  • GCM
  • AIRS

Index Terms

  • Atmospheric Processes: Global climate models
  • Atmospheric Processes: Remote sensing
  • Atmospheric Composition and Structure: Cloud/radiation interaction
  • Atmospheric Processes: Radiative processes

Abstract

GEOPHYSICAL RESEARCH LETTERS, VOL. 34, L24707, 6 PP., 2007
doi:10.1029/2007GL031409

A strict test in climate modeling with spectrally resolved radiances: GCM simulation versus AIRS observations

Yi Huang

Program of Atmospheric and Oceanic Sciences, Princeton University, Princeton, New Jersey, USA

V. Ramaswamy

NOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey, USA

Xianglei Huang

Department of Atmospheric, Oceanic and Space Sciences, University of Michigan, Ann Arbor, Michigan, USA

Qiang Fu

Department of Atmospheric Sciences, University of Washington, Seattle, Washington, USA

Charles Bardeen

Department of Atmospheric and Oceanic Sciences, University of Colorado, Boulder, Colorado, USA

The spectrally resolved infrared radiances observed by AIRS provide a strict and insightful test for general circulation models (GCMs). We compare the clear- and total- sky spectra simulated from the Geophysical Fluid Dynamics Laboratory GCM using a high resolution radiation code with the AIRS observations. After ensuring consistency in the sampling of the observed and simulated spectra and a proper representation of clouds in the radiance simulation, the observed and simulated global-mean radiances are shown to agree to within 2 K in the window region. Radiance discrepancies in the water vapor v2 (1300–1650 cm−1) and carbon dioxide v2 (650–720 cm−1) bands are consistent with the model biases in atmospheric temperature and water vapor. The existence of radiance biases of opposite signs in different spectral regions suggests that a seemingly good agreement of the model's broadband longwave flux with observations may be due to a fortuitous cancellation of spectral errors. Moreover, an examination of the diurnal difference spectrum indicates pronounced biases in the model-simulated diurnal hydrologic cycle over the tropical oceans, a feature seen to occur in other GCMs as well.

Received 26 July 2007; accepted 20 November 2007; published 28 December 2007.

Citation: Huang, Y., V. Ramaswamy, X. Huang, Q. Fu, and C. Bardeen (2007), A strict test in climate modeling with spectrally resolved radiances: GCM simulation versus AIRS observations, Geophys. Res. Lett., 34, L24707, doi:10.1029/2007GL031409.

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