Application of Kalman Filter in Processing Weighing Rain Data
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Abstract:
The tippingbucket raingauge is widely used in meteorological services at present to measure rainfall, which can only measure rainfallFor measuring hail, snow and other solid precipitation，the manual method is used mainly Comparing with the tippingbucket rain gauge, the advantage of the weighing rain gauge is to achieve the automatic observation of various types of precipitationThe study randomly selected a day without precipitation data to determine the filter function 〖WTBX〗Q〖WTBZ〗 and 〖WTBX〗R〖WTBZ〗 values, based on the determined filter parameters, randomly selected a nonprecipitation day (3 April 2016) and two precipitation days (21 July2015, 7 August 2015) using the Kalman filter, combined with tippingbucket sensor data validation, the result shows that the filter parameters determined by using the Kalman filter can effectively remove the weighing rain noise, so that the filtered curve becomes smooth and steady, and reduce the data frequency jitters and errors
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.