Retrieval of Ice-Over-Water Cloud Microphysical and Optical Properties Using Passive Radiometers
Abstract
Current satellite cloud products from passive radiometers provide effective single‐layer cloud properties by assuming a homogeneous cloud in a pixel, resulting in inevitable biases when multiple‐layer clouds are present in a vertical column. We devise a novel method to retrieve cloud vertical properties for ice‐over‐water clouds using passive radiometers. Based on the absorptivity differences of liquid water and ice clouds at four shortwave‐infrared channels (centered at 0.87, 1.61, 2.13, and 2.25 μm), cloud optical thicknesses (COT) and effective radii of both upper‐layer ice and lower‐layer liquid water clouds are inferred simultaneously. The algorithm works most effectively for clouds with ice COT < 7 and liquid water COT > 5. The simulated spectral reflectances based on our retrieved ice‐over‐water clouds become more consistent with observations than those with a single‐layer assumption. This new algorithm will improve our understanding of clouds, and we suggest that these four cloud channels should be all included in future satellite sensors.
Additional Information
© 2020 American Geophysical Union. Issue Online: 19 August 2020; Version of Record online: 19 August 2020; Accepted manuscript online: 06 August 2020; Manuscript accepted: 28 July 2020; Manuscript revised: 23 July 2020; Manuscript received: 19 May 2020. We acknowledge the funding support by the National Natural Science Foundation of China (41975025), the National Key Research and Development Program of China (2018YFC1506502), the Natural Science Foundation of Jiangsu Province (BK20190093), and the Postgraduate Research and Practice Innovation Program of Jiangsu Province (KYCX20_0926).Attached Files
Published - 2020GL088941.pdf
Supplemental Material - grl61044-sup-0001-2020gl088941-si.docx
Files
Name | Size | Download all |
---|---|---|
md5:f4b8e2da6f8869b25a317268b2606e90
|
2.2 MB | Download |
md5:ade88df242ab448709a0cc97562c286b
|
8.0 MB | Preview Download |
Additional details
- Eprint ID
- 104995
- Resolver ID
- CaltechAUTHORS:20200818-102949818
- National Natural Science Foundation of China
- 41975025
- National Key Research and Development Program of China
- 2018YFC1506502
- Natural Science Foundation of Jiangsu Province
- BK20190093
- Postgraduate Research and Practice Innovation Program of Jiangsu Province
- KYCX20_0926
- Created
-
2020-08-18Created from EPrint's datestamp field
- Updated
-
2021-11-16Created from EPrint's last_modified field
- Caltech groups
- Division of Geological and Planetary Sciences (GPS)