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MODIS atmospheric profile products (MOD07_L2 and MYD07_L2) have been widely used for near-surface dew point temperature () estimation. However, their accuracy over large scale has seldom been evaluated. In this study, we validated these two products comprehensively against 2153 stations over mainland China. MOD07_L2 was suggested by our study because it achieved higher accuracy in either of two frequently-used methods. To be specific, the root-mean-square error ( RMSE ) achieved by MOD07_L2 and MYD07_L2 was 5.82 and 7.42 °C, respectively. On this basis, a recent ground-based correction method was modified to further improve their accuracy. Our focus is to investigate whether this ground-based approach is applicable to large-scale remote sensing applications. The results show that this new method showed great potential forestimation independently from ground observations. Through the introduction of MODIS land surface products, the  RMSE  it achieved for MOD07_L2 and MYD07_L2 was 5.23 and 5.59 °C, respectively. Further analysis shows that it was particularly useful in capturing the annual averagepatterns. The  R 2,  RMSE , and bias of annual average daily meanestimates were 0.95, 1.84 °C, and 0.53 °C, and those achieved for annual average instantaneousestimates were 0.94, 2.09 °C, and 0.75 °C, respectively.

Modification and validation of a new method to improve the accuracy of MODIS-derived dew point temperature over mainland China