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Satellite-based detection of daytime supercooled liquid-topped mixed-phase clouds over the Southern Ocean using the advanced Himawari Imager
Citation
Noh, Y-J and Miller, SD and Heidinger, AK and Mace, GG and Protat, A and Alexander, SP, Satellite-based detection of daytime supercooled liquid-topped mixed-phase clouds over the Southern Ocean using the advanced Himawari Imager, Journal of Geophysical Research: Atmospheres, 124, (5) pp. 2677-2701. ISSN 2169-897X (2019) [Refereed Article]
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Copyright Statement
Copyright 2019 American Geophysical Union
Abstract
Inaccurate mixed‐phase cloud parameterizations over the Southern Ocean remain one of the largest sources of disagreement among global models in determining shortwave cloud radiative feedbacks. Suitable global observations supporting model improvements are currently unavailable. The conventional satellite cloud phase retrieval from passive radiometers is strongly biased toward cloud top without further information on the subcloud phase. Mixed‐phase clouds with the liquid‐top mixed‐phase (LTMP) structures are often classified simply as supercooled liquid. This paper presents a daytime multispectral detection algorithm for LTMP clouds, based on differential absorption between liquid and ice in shortwave infrared bands (1.61 and 2.25 μm). The LTMP algorithm, previously developed for polar‐orbiting sensors, is applied to Himawari‐8 Advanced Himawari Imager (the first of the next‐generation geostationary satellites) to probe subcloud phase for mixed‐phase clouds over the Southern Ocean. The results are compared with spaceborne active sensor data from CloudSat and CALIPSO. Ship‐based field experiment measurements are examined for selected cases to provide a more direct assessment of algorithm performance. The results show that applying the LTMP algorithm to geostationary satellites has potential to provide advanced time‐resolved observations for mixed‐phase clouds globally with improved sublayer cloud phase information that can support enhancement and validation of global models.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | Southern Ocean, mixed-phase clouds, satellite, cloud phase, satellite algorithm, supercooled liquid water |
| Research Division: | Earth Sciences |
| Research Group: | Atmospheric sciences |
| Research Field: | Cloud physics |
| Objective Division: | Environmental Management |
| Objective Group: | Air quality, atmosphere and weather |
| Objective Field: | Atmospheric processes and dynamics |
| UTAS Author: | Alexander, SP (Dr Simon Alexander) |
| ID Code: | 134986 |
| Year Published: | 2019 |
| Web of Science® Times Cited: | 15 |
| Deposited By: | CRC-Antarctic Climate & Ecosystems |
| Deposited On: | 2019-09-18 |
| Last Modified: | 2020-01-06 |
| Downloads: | 16 View Download Statistics |
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