Construction method and device for rain cluster identification and characteristic parameter thereof

Abstract

The invention discloses a construction method and a construction device for rain cluster identification and characteristic parameters thereof. The construction method comprises the steps of: identifying precipitation pixels by utilizing a precipitation amount provided by a satellite-borne precipitation radar (PR), and identifying a complete precipitation region detected by the PR in a scanning width range to be a rain cluster; combining topographic data between 40 degree of north and south latitudes and in a horizontal resolution range from 3 to 10 kilometers for matching the rain cluster to obtain sea-land and terrain elevation information of the rain cluster; defining geometric characteristic parameters and physical characteristic parameters of the rain cluster according to physical contents of the rain cluster, and calculating the defined geometric characteristic parameters and physical characteristic parameters of the rain cluster; and matching the geometric characteristic parameters and the physical characteristic parameters of the rain cluster obtained through calculation with the sea-land and terrain elevation information of the rain cluster as well as original data of the PR to construct a rain cluster characteristic parameter data set. The construction method and the construction device are conductive to learning rain cluster characteristics of different weather systems, and provide a good test platform for developing multi-instrument, multiband and multi-angle satellite joint observation data fusion in future.

Description

technical field [0001] The invention relates to the technical field of feature recognition and forecasting of meteorological parameters, in particular to a method and device for identifying rain clusters and their feature parameters. Background technique [0002] Precipitation is an important weather process. The amount of precipitation is closely related to droughts and floods, harvests, and people's lives and property. Precipitation anomalies have an important impact on the human ecological environment and the earth's water cycle. Timely and accurate forecasting of precipitation intensity and location is the key to reducing However, because precipitation has the characteristics of high spatio-temporal discontinuity, and the predictability of precipitation systems at different spatio-temporal scales is different, precipitation forecasting is still a challenging task, which also includes our understanding of different Insufficient understanding of temporal and spatial scale ...

AI Technical Summary

Problems solved by technology

[0003] Existing technologies mainly identify cloud clusters by counting cloud signals measured by geostationary satellite spectra, or use the number of precipitation pixels measured by spaceborne rain radar (PR, PrecipitationRadar) as the precipitation scale to describe the shape and shape of precipitation clusters. structure, but does not account for the truncation effect of PR scans on rain clusters

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