Evaluation of AIRS cloud properties using MPACE data

• Published in: Geophysical Research Letters
• Main Authors: Wu, XB, Li, J, Menzel, WP, Huang, A, Baggett, K, Revercomb, H
• Other Authors: Wu, XB (reprint author), Peking Univ, Dept Atmospher Sci, Beijing 100871, Peoples R China., Peking Univ, Dept Atmospher Sci, Beijing 100871, Peoples R China., Univ Wisconsin, CIMSS, Madison, WI 53706 USA., Natl Satellite Meteorol Ctr, Beijing 100081, Peoples R China., NOAA, NESDIS Off Res & Applicat, Madison, WI 53706 USA.
• Format: Journal/Newspaper
• Language: English
• Published: geophysical research letters 2005
• Subjects: MODIS; RETRIEVAL; PARAMETERS; SURFACE; Arctic; Barrow; Alaska
• Online Access: https://hdl.handle.net/20.500.11897/253464; https://doi.org/10.1029/2005GL024400

Retrieval of cloud properties from the Atmospheric Infrared Sounder ( AIRS) aboard the NASA Aqua satellite has been investigated. The cloud products from the collocated MODerate resolution Imaging Spectroradiometer ( MODIS) data are used to characterize the AIRS sub-pixel cloud information such as cloud phase, cloud coverage, and cloud layer information. A Minimum Residual (MR) approach is used to retrieve cloud microphysical properties once the cloud top pressure (CTP) and effective cloud amount (ECA) are determined from AIRS CO2 absorption channels between 720 and 790 cm(-1). The cloud microphysical properties can be retrieved by minimizing the differences between the observations and the calculations using AIRS longwave window channels between 790 and 1130 cm(-1). AIRS is used to derive cloud properties during the Mixed Phase Arctic Cloud Experiment (MPACE) field campaign. Comparison with measurements obtained from lidar data is made for a test day, showing that AIRS cloud property retrievals agree with in situ lidar observations. Due to the large solar zenith angle, the MODIS operational retrieval approach is not able to provide cloud microphysics north of Barrow, Alaska; however, AIRS provides cloud microphysical properties with its high spectral resolution IR measurements. Geosciences, Multidisciplinary SCI(E) EI 1 ARTICLE 24 1-4 32