Utilizing geostationary satellite observations to develop a next generation ice cloud optical property model in support of JCSDA Community Radiative Transfer Model (CRTM) and JPSS CAL/VAL Grant uri icon


  • We propose to use GOES-16 and GOES-17 ABI observations with high temporal resolution to first infer the radiative and microphysical properties (specifically, optical thickness and effective particle size) using both the solar bi-spectral technique (i.e., the Nakajima-King method) and the infrared split window technique with daytime ABI observations, while only an infrared technique will be used for nighttime retrieval. Furthermore, we will collocate the aforesaid retrievals with CALIOP retrievals. In the proposed retrievals, an ice cloud optical property model must be used. We will test various ice cloud models. The optimal model is the one that will lead to spectral consistency between solar-band and IR-band based retrievals and consistency between passive (ABI based) and active (CALIOP based) retrievals. After an optimal ice cloud model is identified, we will implement it in CRTM. Specifically, the implementation will be conducted for the channels of the CrIS and VIIRS on JPSS. This effort will support the JPSS CAL/VAL effort. Because of the high temporal resolution of GEOS-16/17 ABI observations, we will be able to incorporate the diurnal variations of ice cloud properties into the proposed optimal ice cloud optical property model, an unprecedented feature in comparison with the existing ice cloud optical property models.

date/time interval

  • 2020 - 2023