Abstract
Temperature data is an important data in water hydrology calculation. Because of the limitations of the distribution of meteorological stations, often requires temperature data interpolation in practical work. The main interpolation method with similar precipitation interpolation, but temperature data influenced by the elevation. Therefore, this article lists some of the main interpolation algorithm, analyzed their characteristics. Select elevation reduction-inverse distance square method to interpolate the temperature data of Baoding station, then compare the measured data from Baoding station with the interpolation data, the results show that this method works well. The correlation coefficient greater than 0.99.
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More From: DEStech Transactions on Computer Science and Engineering
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