Homogeneity Test and Correction of Temperature Series Influenced by Station Movement at Huzhu
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Abstract:
Meteorological station movement often leads to inhomogeneity of climate series. In order to study the homogeneity test and homogenization methods of singlestation temperature series, improve the reliability of temperature data series at Huzhu meteorological station, the homogeneity test and correction are conducted before and after the Huzhu meteorological station movement based on the 〖WTBX〗t〖WTBZ〗test and SHNT methods. The results show that impact of the Huzhu meteorological station movement on the homogeneity of temperature data series is significant. The adjustment results based on different methods (i.e., linear regression, stepwise multiple linear regression, and parallel data of basic stations) are analyzed. The results show that the correction result of the stepwise multiple linear regression based on 15years parallel observation data in basic station is better. The correction is conducted on the temperature data series before moving on the basis of the stepwise multiple linear regression. The climate tendency rate is 031 ℃/10a after correction, and the inhomogeneity of temperature series can be eliminated.
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.