A regional meteorological drought grade prediction method based on coupled multi-source data
A meteorological drought and multi-source data technology, applied in the field of high-level forecasting, can solve the problems of accurate assessment and forecasting of disasters, numerous influencing factors, and low spatial resolution of drought remote sensing monitoring, achieving strong scientific and practical effects
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[0034] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings.
[0035] figure 1 Be the concrete flowchart of the inventive method, concrete steps are as follows:
[0036] Step 1. Collect the underlying surface information in the region, as well as synchronous long series data of precipitation and large-scale meteorological factors. This step is a conventional technique in the art.
[0037] The underlying surface information mainly refers to gridded, high-resolution digital elevation model (Digital ElevationModel, DEM) data, and gridded, high-resolution land cover data (such as normalized difference vegetation index (NDVI) ), etc.; precipitation data include actual measurements of surface rainfall observation stations, and gridded, low-resolution satellite remote sensing monitoring data; large-scale meteorological factors include index data representing the characteristics of large-scale circulation on a...
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