Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 13, issue 7
Articles | Volume 13, issue 7
https://doi.org/10.5194/amt-13-4035-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-4035-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 7
Research article
 | 
27 Jul 2020
Research article |  | 27 Jul 2020

Improvement in cloud retrievals from VIIRS through the use of infrared absorption channels constructed from VIIRS+CrIS data fusion

Yue Li, Bryan A. Baum, Andrew K. Heidinger, W. Paul Menzel, and Elisabeth Weisz

Data sets

CALIPSO Lidar Level 2 1 km Cloud Layer Data, V4-20 NASA Langley Research Center Atmospheric Science Data Center https://doi.org/10.5067/CALIOP/CALIPSO/LID_L2_01KMCLAY-STANDARD-V4-20

CALIPSO Lidar Level 2 5 km Cloud Layer Data, V4-20 NASA Langley Research Center Atmospheric Science Data Center https://doi.org/10.5067/CALIOP/CALIPSO/LID_L2_05KMCLAY-STANDARD-V4-20

MODIS Collection 6.1 Atmosphere L2 MYD06 Cloud Product LAADS DAAC https://ladsweb.modaps.eosdis.nasa.gov/archive/allData/61/MOD06_L2/

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Short summary
Use of VIIRS+CrIS fusion products, which provide VIIRS with MODIS-like IR sounding channels, improves cloud mask, cloud phase, and cloud top height retrievals when compared to those using VIIRS data only. NOAA CLAVR-x cloud retrievals for both S-NPP and NOAA-20 data are evaluated through comparisons to the CALIPSO v4 and MODIS Collection 6.1 cloud products. Cloud height retrievals show significant improvement for semitransparent ice clouds, with a reduction in retrieval uncertainties.
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