Effect of data homogenization on estimate of temperature trend: a case of Huairou station in Beijing Municipality .

By steven d keeler | Jan 29, 2014


Urban contributions to the overall trends of annual mean Tmin and Tmax reach 100% and 28.8% respectively for the adjusted data. Our analysis shows that data homogenization for the stations moved from down towns to suburbs can lead to a significant overestimate of rising trends of surface air temperature, and this necessitates a careful evaluation and adjustment for urban biases before the data are applied in analyses of local and regional climate change.





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