Publications

Wang, JJ; Liu, C; Min, M; Hu, XQ; Lu, QF; Husi, L (2018). Effects and Applications of Satellite Radiometer 2.25-mu m Channel on Cloud Property Retrievals. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 56(9), 5207-5216.

Abstract
Near-infrared (NIR) channels, such as the 1.6- and 2.13-mu m channels of Moderate Resolution Imaging Spectroradiometer (MODIS), play an important role in inferring cloud properties because of their sensitivity to cloud amount and particle size. Instead of the 2.13-mu m channel, which has shown great success on MODIS, the central wavelength of the Visible Infrared Imaging Radiometer Suite (VIIRS) is shifted to 2.25 mu m. This paper investigates the influences of NIR channels (i.e., 2.13 and 2.25 mu m) on cloud optical and microphysical property retrievals and reveals the potential applications of the 2.25-mu m channel to cloud thermodynamic phase and multilayer cloud detections by combining with the 1.6-mu m channel. Rigorous radiative transfer simulations are performed to provide theoretical reflectance at the channels of interest, and MODIS and VIIRS observations are used for case studies. Our results indicate a minor influence of the 2.25-mu m channel on cloud optical depth and effective particle size retrievals. In combination with the 1.6-mu m channel, the 2.25-mu m channel provides additional information indicating cloud phases. However, the 1.6- and 2.13-mu m channels do not show any sensitivity to cloud phase. Furthermore, by considering the infrared-based cloud phase results, the 1.6- and 2.25-mu m channel combination becomes possible to infer multilayer clouds. Case studies based on simultaneous MODIS and VIIRS observations demonstrate the capability of the 1.6-2.25-mu m channel combination for determining cloud phase and multilayer clouds. Collocated satellite-based active lidar observations further validate these advantages of the 2.25-mu m channel over the original 2.13-mu m channel.

DOI:
10.1109/TGRS.2018.2812082

ISSN:
0196-2892