Open AccessComparing MODIS and AIRS Infrared-Based Cloud Retrievals
Author(s) -
Shaima L. Nasiri,
Hongxing Dang,
Brian H. Kahn,
Eric J. Fetzer,
Evan M. Manning,
M. M. Schreier,
R. Frey
Publication year - 2011
Publication title -
journal of applied meteorology and climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.079
H-Index - 134
eISSN - 1558-8432
pISSN - 1558-8424
DOI - 10.1175/2010jamc2603.1
Subject(s) - atmospheric infrared sounder , moderate resolution imaging spectroradiometer , environmental science , cloud computing , remote sensing , brightness temperature , cloud top , meteorology , calibration , brightness , cloud fraction , satellite , spectroradiometer , cloud cover , atmospheric sciences , computer science , water vapor , geology , reflectivity , physics , statistics , mathematics , astronomy , optics , operating system
Comparisons are described for infrared-derived cloud products retrieved from the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Atmospheric Infrared Sounder (AIRS) using measured spatial response functions obtained from prelaunch AIRS calibration. One full day (1 January 2005) of global collection-5 MODIS and version-5 AIRS retrievals of cloud-top temperature T c , effective cloud fraction f , and derived effective brightness temperature T b , e is investigated. Comparisons of T b , e demonstrate that MODIS and AIRS are essentially radiatively consistent and that MODIS T b , e is 0.62 K higher than AIRS T b , e for all scenes, increasing to 1.43 K for cloud described by AIRS as single layer and decreasing to 0.50 K for two-layer clouds. Somewhat larger differences in T c and f are observed between the two instruments. The magnitudes of differences depend partly on whether MODIS uses a CO 2 -slicing or 11- μ m brightness temperature window retrieval method. Some cloud- and regime-type differences and similarities between AIRS and MODIS cloud products are traceable to the assumptions made about the number of cloud layers in AIRS and also to the MODIS retrieval method. This (partially) holistic comparison approach should be useful for ongoing algorithm refinements, rigorous assessments of climate applicability, and establishment of the capability of synergistic MODIS and AIRS retrievals for improved cloud quantities and also should be useful for future observations to be made by the National Polar-Orbiting Operational Environmental Satellite System (NPOESS) Preparatory Project (NPP).