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RSS FeedsRemote Sensing, Vol. 11, Pages 2900: Features of the Cloud Base Height and Determining the Threshold of Relative Humidity over Southeast China (Remote Sensing)

 
 

5 december 2019 13:00:07

 
Remote Sensing, Vol. 11, Pages 2900: Features of the Cloud Base Height and Determining the Threshold of Relative Humidity over Southeast China (Remote Sensing)
 


Clouds play a critical role in adjusting the global radiation budget and hydrological cycle; however, obtaining accurate information on the cloud base height (CBH) is still challenging. In this study, based on Lidar and aircraft soundings, we investigated the features of the CBH and determined the thresholds of the environmental relative humidity (RH) corresponding to the observed CBHs over Southeast China from October 2017 to September 2018. During the observational period, the CBHs detected by Lidar/aircraft were commonly higher in cold months and lower in warm months; in the latter, 75.91% of the CBHs were below 2000 m. Overall, the RHs at the cloud base were mainly distributed between 70 and 90% for the clouds lower than 1000 m, in which the most concentrated RH was approximately 80%. In addition, for the clouds with a cloud base higher than 1000 m, the RH thresholds decreased dramatically with increasing CBH, where the RH thresholds at cloud bases higher than 2000 m could be lower than 60%. On average, the RH thresholds for determining the CBHs were the highest (72.39%) and lowest (63.56%) in the summer and winter, respectively, over Southeast China. Therefore, to determine the CBH, a specific threshold of RH is needed. Although the time period covered by the collected CBH data from Lidar/aircraft is short, the above analyses can provide some verification and evidence for using the RH threshold to determine the CBH.


 
214 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 11, Pages 2901: Classification of Anomalous Pixels in the Focal Plane Arrays of Orbiting Carbon Observatory-2 and -3 via Machine Learning (Remote Sensing)
Remote Sensing, Vol. 11, Pages 2899: Estimation of Land Surface Heat Fluxes Based on Landsat 7 ETM+ Data and Field Measurements over the Northern Tibetan Plateau (Remote Sensing)
 
 
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