Abstract
Using the PMTred algorithm (penalized maximum T test) and the detailed metadata archive, the monthly mean sea surface temperature (SST) datasets from 1960 to 2011 have been detected and adjusted. Results show that the SST time series has serious problems of inhomogeneity. The changes in observation instruments and observation system are the main causes of the discontinuity. For the monthly SST time series, the negative adjustments have the high proportion, which may be greatly due to the SST decreasing after automation. It is found that the annual mean SST trends have changed obviously before and after adjusted. The increasing trend of annual mean SST after adjustment is higher than before, by up to 0.252 °C/10 yr.
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