Publications

Chen, YH; Sun, H; Li, J (2016). Estimating daily maximum air temperature with MODIS data and a daytime temperature variation model in Beijing urban area. REMOTE SENSING LETTERS, 7(9), 865-874.

Abstract
An algorithm to estimate daily maximum T-a (T-a (max)) is presented in this study based on moderate resolution imaging spectroradiometer (MODIS) products and a daytime T-a variation model. The algorithm first estimates daytime T-a at the times of Terra and Aqua satellites overpass. Subsequently, the T-a (max) is inferred from the daytime Ta estimations using the daytime T-a variation model. This algorithm was applied to the area within the sixth ring road of Beijing from 2009 to 2010. A comprehensive validation experiment including a leave-one-out cross validation, a temporal validation, an overall comparison and a sensitivity analysis was conducted to evaluate the new algorithm. Results indicate that the spatial distribution of T-a (max) can be accurately generated using the algorithm with a root mean square error (RMSE) varying from 1.62 to 2.33 K and a coefficient of determination varying from 0.95 to 0.98. Sensitivity analysis shows that the algorithm is more sensitive to T-s at daytime of Aqua MODIS overpass (T-s (Aqua_day)) than to T-s at other times. A 2 K increase in T-s (Aqua_day) would result in a 1.9 K increase in Ta max estimates.

DOI:
10.1080/2150704X.2016.1193792

ISSN:
2150-704X