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A Novel Terrain Correction Sinusoidal Model for Improving Estimation of Daily Clear-Sky Downward Shortwave Radiation

Hui Liang,Bo Jiang,Shunlin Liang,Jianguang Wen,Tao He,Xiaotong Zhang,Jianghai Peng,Shaopeng Li,Jiakun Han,X. Yin

Published 2024 in IEEE Transactions on Geoscience and Remote Sensing

ABSTRACT

Downward shortwave radiation (DSR) is greatly affected by rugged terrains, which account for about 24% of the world’s surface. Yet, existing DSR products do not take into account topographical effects. Some topographic correction algorithms have been developed for estimating the clear-sky instantaneous DSR over rugged terrains (DSRins-rugged), but no specific algorithms are available to get the daily average DSR over rugged terrains (DSRdaily-rugged). The objective of this study is to develop an efficient and robust model to retrieve the clear-sky DSRdaily-rugged based on DSR satellite products. After examining ground measurements collected from several mountainous sites over the Chengde Experimental Area in China, we found that the clear-sky DSRins-rugged over a day follows a pseudo-sine curve, depending on aspect, slope, and other terrain factors, which form the foundation of our terrain correction sinusoidal model (TCSM). TCSM also includes a new simple shadow correction method. Validation against ground measurements showed that shadow-corrected clear sky TCSM DSRdaily-rugged estimated from in situ measurements is highly accurate with a root-mean-square error (RMSE) of 9.69 Wm−2, bias of 0.93 Wm−2, and $R^{2}$ of 0.99. After applying TCSM to correct the topographic effects of both the Clouds and Earth’s Radiant Energy Systems synoptic Edition4 (CERES-SYN1deg_Ed4A) and MCD18A1 C6 (MCD18) DSR products, the accuracies significantly improved, with the validated RMSE reduced from 63.60 and 64.51 to 14.03 and 12.60 Wm−2, the bias from −38.58 and −36.93 to 5.53 and −7.17 Wm−2, and $R^{2}$ from 0.46 and 0.44 to 0.97 and 0.98, respectively. Additionally, the TCSM can be easily applied to other DSR products that do not consider the topographic effects.

PUBLICATION RECORD

  • Publication year

    2024

  • Venue

    IEEE Transactions on Geoscience and Remote Sensing

  • Publication date

    Unknown publication date

  • Fields of study

    Computer Science, Environmental Science

  • Identifiers
    DOI 10.1109/TGRS.2024.3452791
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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