Combining Cloud Properties from CALIPSO, CloudSat, and MODIS for Top-of-Atmosphere (TOA) Shortwave Broadband Irradiance Computations: Impact of Cloud Vertical Profiles

Author:

Ham Seung-Hee1,Kato Seiji2,Rose Fred G.1,Sun-Mack Sunny1,Chen Yan1,Miller Walter F.1,Scott Ryan C.2

Affiliation:

1. a Science Systems and Applications, Inc., Hampton, Virginia

2. b NASA Langley Research Center, Hampton, Virginia

Abstract

Abstract Cloud vertical profile measurements from the CALIPSO and CloudSat active sensors are used to improve top-of-atmosphere (TOA) shortwave (SW) broadband (BB) irradiance computations. The active sensor measurements, which occasionally miss parts of the cloud columns because of the full attenuation of sensor signals, surface clutter, or insensitivity to a certain range of cloud particle sizes, are adjusted using column-integrated cloud optical depth derived from the passive MODIS sensor. Specifically, we consider two steps in generating cloud profiles from multiple sensors for irradiance computations. First, cloud extinction coefficient and cloud effective radius (CER) profiles are merged using available active and passive measurements. Second, the merged cloud extinction profiles are constrained by the MODIS visible scaled cloud optical depth, defined as a visible cloud optical depth multiplied by (1 − asymmetry parameter), to compensate for missing cloud parts by active sensors. It is shown that the multisensor-combined cloud profiles significantly reduce positive TOA SW BB biases, relative to those with MODIS-derived cloud properties only. The improvement is more pronounced for optically thick clouds, where MODIS ice CER is largely underestimated. Within the SW BB (0.18–4 μm), the 1.04–1.90-μm spectral region is mainly affected by the CER, where both the cloud absorption and solar incoming irradiance are considerable. Significance Statement The purpose of this study is to improve shortwave irradiance computations at the top of the atmosphere by using combined cloud properties from active and passive sensor measurements. Relative to the simulation results with passive sensor cloud measurements only, the combined cloud profiles provide more accurate shortwave simulation results. This is achieved by more realistic profiles of cloud extinction coefficient and cloud particle effective radius. The benefit is pronounced for optically thick clouds composed of large ice particles.

Funder

National Aeronautics and Space Administration

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference87 articles.

1. CERES CCCM data quality summary RelD1: Updated on 30 September 2021,2021

2. Level 2B radar-only Cloud Water Content (2B-CWC-RO) process description and interface control document, product version P1 R05. NASA JPL CloudSat Project Doc;Austin, R. T.,2018

3. Retrieval of ice cloud microphysical parameters using the CloudSat millimeter-wave radar and temperature;Austin, R. T.,2009

4. Prelaunch characteristics of the Moderate Resolution Imaging Spectroradiometer (MODIS) on EOS-AM1;Barnes, W. L.,1998

5. Global assessment of marine boundary layer cloud droplet number concentration from satellite;Bennartz, R.,2007

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