
Comparison of gravity wave temperature variances from ray‐based spectral parameterization of convective gravity wave drag with AIRS observations
Author(s) -
Choi HyunJoo,
Chun HyeYeong,
Gong Jie,
Wu Dong L.
Publication year - 2012
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.67
H-Index - 298
eISSN - 2156-2202
pISSN - 0148-0227
DOI - 10.1029/2011jd016900
Subject(s) - atmospheric infrared sounder , gravity wave , mesoscale meteorology , convection , wavelength , visibility , physics , meteorology , environmental science , computational physics , geophysics , geology , troposphere , wave propagation , optics
The realism of ray‐based spectral parameterization of convective gravity wave drag, which considers the updated moving speed of the convective source and multiple wave propagation directions, is tested against the Atmospheric Infrared Sounder (AIRS) onboard the Aqua satellite. Offline parameterization calculations are performed using the global reanalysis data for January and July 2005, and gravity wave temperature variances (GWTVs) are calculated at z = 2.5 hPa (unfiltered GWTV). AIRS‐filtered GWTV, which is directly compared with AIRS, is calculated by applying the AIRS visibility function to the unfiltered GWTV. A comparison between the parameterization calculations and AIRS observations shows that the spatial distribution of the AIRS‐filtered GWTV agrees well with that of the AIRS GWTV. However, the magnitude of the AIRS‐filtered GWTV is smaller than that of the AIRS GWTV. When an additional cloud top gravity wave momentum flux spectrum with longer horizontal wavelength components that were obtained from the mesoscale simulations is included in the parameterization, both the magnitude and spatial distribution of the AIRS‐filtered GWTVs from the parameterization are in good agreement with those of the AIRS GWTVs. The AIRS GWTV can be reproduced reasonably well by the parameterization not only with multiple wave propagation directions but also with two wave propagation directions of 45° (northeast‐southwest) and 135° (northwest‐southeast), which are optimally chosen for computational efficiency.