A global record of single-layered ice cloud properties and associated radiative heating rate profiles from an A-Train perspective
A record of global single-layered ice cloud properties has been generated using the CloudSat and CALIPSO Ice Cloud Property Product (2C-ICE) during the period 2007–2010. These ice cloud properties are used as inputs for the NASA Langley modified Fu–Liou radiative transfer model to calculate cloud radiative heating rate profiles and are compared with the NASA CERES observed top-of-atmosphere fluxes. The radiative heating rate profiles calculated in the CloudSat/CALIPSO 2B-FLXHR-LIDAR and CCCM_CC products are also examined to assess consistency and uncertainty of their properties using independent methods. Based on the methods and definitions used herein, single-layered ice clouds have a global occurrence frequency of ~ 18%, with most of them occurring in the tropics above 12 km. Zonal mean cloud radiative heating rate profiles from the three datasets are similar in their patterns of SW warming and LW cooling with small differences in magnitude; nevertheless, all three datasets show that the strongest net heating (> + 1.0 K day−1) occurs in the tropics (latitude < 30°) near the cloud-base while cooling occurs at higher latitudes (> ~ 50°). Differences in radiative heating rates are also assessed based on composites of the 2C-ICE ice water path (IWP) and total column water vapor (TCWV) mixing ratio to facilitate model evaluation and guide ice cloud parameterization improvement. Positive net cloud radiative heating rates are maximized in the upper troposphere for large IWPs and large TCWV, with an uncertainty of 10–25% in the magnitude and vertical structure of this heating.
KeywordsSingle-layered ice cloud properties Radiative heating rate profiles Satellite remote sensing
This research was primarily supported by the NASA CERES project under Grant NNX17AC52G at the University of Arizona. Ms Erica Dolinar was supported by NASA Earth and Space Science Fellowship Program (NESSF) for her PhD degree. She was also supported by the NASA ROSES-MAP program during her internship at the Jet Propulsion Laboratory and the American Society for Engineering Edcation (ASEE) during her post-doc. Jonathan Jiang and Hui Su acknowledge the support by the NASA ROSES CCST and MAP programs, and by Jet Propulsion Laboratory, California Institute of Technology, under contract with NASA. Norman Loeb is supported by NASA’s Radiation Budget Science Project. Author JRC acknowledges the support of the Naval Research Laboratory Base Program (BE033-03-45-T008-17). We would also like to thank Dr Greg Elsaesser for his correspondence regarding the importance of ice clouds properties in the NASA GISS GCM and Dr. Min Deng for her help to explain the 2C-ICE product.
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