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Published February 28, 2022 | Published + Supplemental Material
Journal Article Open

Detecting Supercooled Water Clouds Using Passive Radiometer Measurements

Abstract

Supercooled water clouds (SWCs) have significant impacts on the Earth's radiation balance, aircraft ice accretion and precipitation augmentation. This study introduces an efficient algorithm to detect SWCs from passive radiometers, which combines information from the reflectance difference between 1.61 and 2.25 μm channels, the brightness temperature difference between the 8.5 and 11 μm channels, and the cloud top temperature. Validated by space radar and lidar measurements, our algorithm can correctly detect 91% of SWC pixels, better than current Visible Infrared Imager Radiometer Suite operational product. SWCs are found mostly over the mid- to high-latitude oceans and have a global occurrence frequency of ∼8% in cloudy skies. Since the channels used for the detection are available in most current operational polar and geostationary satellite radiometers, this SWC detection algorithm can be easily implemented for operations such as cloud monitoring, aviation safety, and SWC-related weather modification.

Additional Information

© 2022. American Geophysical Union. Issue Online: 14 February 2022. Version of Record online: 14 February 2022. Accepted manuscript online: 18 January 2022. Manuscript accepted: 14 January 2022. Manuscript revised: 23 November 2021. Manuscript received: 14 September 2021. The authors acknowledge the funding supported by the National Natural Science Foundation of China (42122038 and 42105135). B. J. Sohn was supported by the National Research Foundation of Korea (NRF) under Grant NRF-2021R1A4A5032320. Data Availability Statement. All data related to this work are available online. The VIIRS and CloudSat-CALIPSO data can be obtained from the National Aeronautics and Space Administration (NASA) LAADS DAAC (https://ladsweb.modaps.eosdis.nasa.gov/), ICARE data and services center (https://www.icare.univ-lille.fr/data-access/data-archive-access/). The results from this study can be downloaded from: https://doi.org/10.5281/zenodo.5717688.

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Published - 2021GL096111.pdf

Supplemental Material - 2021gl096111-sup-0001-supporting_information_si-s01.docx

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Created:
October 9, 2023
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October 24, 2023