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Communication

Tropical Tropopause Layer Cloud Properties from Spaceborne Active Observations

1
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/China Meteorological Administration Aerosol-Cloud-Precipitation Key Laboratory, School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China
2
Science and Technology on Optical Radiation Laboratory, Beijing 100854, China
3
College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China
4
Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2023, 15(5), 1223; https://doi.org/10.3390/rs15051223
Submission received: 10 January 2023 / Revised: 20 February 2023 / Accepted: 20 February 2023 / Published: 22 February 2023
(This article belongs to the Special Issue Remote Sensing of Clouds and Precipitation at Multiple Scales II)

Abstract

A significant part of clouds in the tropics appears over the tropopause due to intense convections and in situ condensation activity. These tropical tropopause layer (TTL) clouds not only play an important role in the radiation budget over the tropics, but also in water vapor and other chemical material transport from the troposphere to the stratosphere. This study quantifies and analyzes the properties of TTL clouds based on spaceborne active observations, which provide one of the most reliable sources of information on cloud vertical distributions. We use four years (2007–2010) of observations from the joint Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) and CloudSat and consider all cloudy pixels with top height above the tropopause as TTL clouds. The occurrence frequency of TTL clouds during the nighttime is found to be almost 13% and can reach ~50–60% in areas with frequent convections. The annual averages of tropical tropopause height, tropopause temperature, and cloud top height are 16.2 km, −80.7 °C, and 16.6 km, respectively, and the average cloud top exceeds tropopause by approximately 500 m. More importantly, the presence of TTL clouds causes tropopause temperature to be ~3–4 °C colder than in the all-sky condition. It also lifts the tropopause heights ~160 m during the nighttime and lowers the heights ~84 m during the daytime. From a cloud type aspect, ~91% and ~4% of the TTL clouds are high clouds and altostratus, and only ~5% of them are associated with convections (i.e., nimbostratus and deep convective clouds). Approximately 30% of the TTL clouds are single-layer clouds, and multi-layer clouds are dominated by those with 2–3 separated layers.
Keywords: tropical tropopause layer; cloud property; satellite observation tropical tropopause layer; cloud property; satellite observation

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MDPI and ACS Style

Lei, S.; Zhu, X.; Ling, Y.; Teng, S.; Yao, B. Tropical Tropopause Layer Cloud Properties from Spaceborne Active Observations. Remote Sens. 2023, 15, 1223. https://doi.org/10.3390/rs15051223

AMA Style

Lei S, Zhu X, Ling Y, Teng S, Yao B. Tropical Tropopause Layer Cloud Properties from Spaceborne Active Observations. Remote Sensing. 2023; 15(5):1223. https://doi.org/10.3390/rs15051223

Chicago/Turabian Style

Lei, Siliang, Xijuan Zhu, Yuxiang Ling, Shiwen Teng, and Bin Yao. 2023. "Tropical Tropopause Layer Cloud Properties from Spaceborne Active Observations" Remote Sensing 15, no. 5: 1223. https://doi.org/10.3390/rs15051223

APA Style

Lei, S., Zhu, X., Ling, Y., Teng, S., & Yao, B. (2023). Tropical Tropopause Layer Cloud Properties from Spaceborne Active Observations. Remote Sensing, 15(5), 1223. https://doi.org/10.3390/rs15051223

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