Author:
Di Huige,Yuan Yun,Yan Qing,Xin Wenhui,Li Shichun,Wang Jun,Wang Yufeng,Zhang Lei,Hua Dengxin
Abstract
Abstract. To further exploit atmospheric cloud water resources (CWRs), it is necessary to correctly evaluate the number of CWRs in an area. The CWRs are hydrometeors that have not participated in precipitation formation at the
surface and are suspended in the atmosphere to be exploited and maximise
possible precipitation in the atmosphere (Zhou et al., 2020). Three items are included in CWRs: the existing hydrometeors at a certain time, the influx of atmospheric hydrometeors along the boundaries of the study area, and the mass of hydrometeors converted from water vapour through condensation or desublimation, defined as condensate. Condensate constitutes the most important part of CWRs. At present, there is a lack of effective observation methods for atmospheric column condensate evaluation, and direct observation
data of CWRs are thus insufficient. A detection method for atmospheric
column condensate is proposed and presented. The formation of condensate is
closely related to atmospheric meteorological parameters (e.g. temperature
and vertical airflow velocity). The amount of atmospheric column condensate
can be calculated by the saturated water vapour density and the ascending
velocity at the cloud base and top. Active and passive remote sensing
technologies are applied to detect the mass of atmospheric column
condensate. Combining millimetre cloud radar, lidar and microwave radiometers can suitably observe the vertical velocity and temperature at the cloud boundary. The saturated vapour density can be derived from the temperature, and then, water vapour flux and the maximum possible condensate can be deduced. A detailed detection scheme and data calculation method are presented, and the presented method can realise the determination of atmospheric column condensate. A case of cloud layer change before precipitation is considered, and atmospheric column condensate is deduced and obtained. This is the first
application, to our knowledge, of observations for atmospheric column
condensate evaluation, which is significant for research on the hydrologic
cycle and the assessment of CWRs.
Funder
Innovative Research Group Project of the National Natural Science Foundation of China
Cited by
2 articles.
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