All-sky imaging instrument and cloud layer characteristic analysis method based on all-sky imaging instrument

Abstract

The invention discloses an all-sky imaging instrument comprising a camera housing, a support arm, a shading band, a hemisphere mirror surface, a power supply and an electronic equipment case. The hemisphere mirror surface is fixedly arranged on the top of the electronic equipment case, the upward side of the surface of the hemisphere mirror surface is covered with the shading band, the camera housing is fixedly arranged on the electronic equipment case through the support arm, the camera housing is arranged over the hemisphere mirror surface, an image acquisition device is arranged in the camera housing, and the power supply is arranged in the electronic equipment case. A cloud layer characteristic analysis method based on the all-sky imaging instrument is also provided, and the cloud layer characteristic analysis method mainly comprises image preprocessing and binarization processing. On the premise of achieving low cost, the aims of automatic cloud observation and accurate and standard observation are achieved.

Description

technical field [0001] The invention relates to the field of meteorological and hydrological observation, in particular to an all-sky imager and a method for analyzing cloud characteristics based on the all-sky imager. Background technique [0002] Clouds are the external manifestations of thermodynamic and dynamic processes in the atmosphere, and they are also an important link in the water cycle. Clouds play an important role in the earth-atmosphere radiative balance and have an important impact on climate models and weather forecasts. Due to the importance of clouds in atmospheric science research and the complexity of observations, clouds are classified as a special weather phenomenon for observation in the observation specifications. Cloud amount, cloud shape and cloud base height are the three elements of cloud observation in meteorological operations, and they are also important statistical contents when analyzing cloud data, which are of great significance to the st...

AI Technical Summary

Problems solved by technology

[0003] However, at present cloud observations mainly rely on manual visual observations.

Each station needs a special person to observe the cloud every hour. On the one hand, this will consume a huge observation cost. On the other hand, due to the different levels of observers at each station, it will cause inconsistencies in the data.

The subjective component of artificial visual cloud amount and cloud shape is relatively large, and the cloud body itself is constantly moving and changing, and cannot form a complete and regular geometric figure, which brings certain difficulties to observers to correctly judge the amount of cloud amount

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