Abstract

The various high altitude meteorological parameter influence each other, and test data of different locations need to be synchronized. In this paper, we propose a GPS timing remote synchronization algorithm for high altitude meteorological data acquisition system, which can make the meteorological data at different locations meet the requirements of synchronization. GPS module uses NEO-M8N chip of UBLOX to achieve GPS timing remote synchronization, which include hardware and software designs for the system. We use the designed system to measure high altitude meteorological data in two different locations, analyze experimental results and show the relationship between meteorological parameters. In the processing for experimental results, we employ Fletcher-Reeves algorithm based on artificial neural network to predict meteorological data, and analyze training errors of the algorithm. The proposed system can realize reception and processing of remote data synchronously, and predict the meteorological data for weather forecast.

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