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An Operational Approach for Generating the Global Land Surface Downward Shortwave Radiation Product from MODIS Data

Publication ,  Journal Article
Zhang, X; Wang, D; Liu, Q; Yao, Y; Jia, K; He, T; Jiang, B; Wei, Y; Ma, H; Zhao, X; Li, W; Liang, S
Published in: IEEE Transactions on Geoscience and Remote Sensing
July 1, 2019

Surface shortwave net radiation (SSNR) and surface downward shortwave radiation (DSR) are the two surface shortwave radiation components in earth's radiation budget and the fundamental quantities of energy available at the earth's surface. Although several global radiation products from global circulation models, global reanalyses, and satellite observations have been released, their coarse spatial resolutions and low accuracies limit their application. In this paper, the Global LAnd Surface Satellite (GLASS) DSR product was generated from the Moderate Resolution Imaging Spectroradiometer top-of-atmosphere (TOA) spectral reflectance based on a direct-estimation method. First, the TOA reflectances were derived based on the atmospheric radiative transfer simulations under different solar/view geometries; second, a linear regression relationship between the TOA reflectance and SSNR was developed under various atmospheric conditions and surface properties for different solar/view geometries; third, the coefficients derived from the linear regression were used to compute the SSNR; and finally, the DSR was estimated using the SSNR estimates and broadband albedo at the surface. A 13-year (2003-2015) GLASS DSR product was generated at a 5-km spatial resolution and 1-day temporal resolution. Compared with the ground measurements collected from 525 stations from 2003 to 2005 around the world, the model-computed SSNR (DSR) had an overall bias of 8.82 (3.72) W/m2 and a root mean square error of 28.83 (32.84) W/m2 at the daily time scale. Moreover, the global land annual mean of the DSR was determined to be 184.8 W/m2 with a standard deviation of 0.8 W/m2 over a 13-year (2003-2015) period.

Duke Scholars

Published In

IEEE Transactions on Geoscience and Remote Sensing

DOI

EISSN

1558-0644

ISSN

0196-2892

Publication Date

July 1, 2019

Volume

57

Issue

7

Start / End Page

4636 / 4650

Related Subject Headings

  • Geological & Geomatics Engineering
  • 40 Engineering
  • 37 Earth sciences
  • 0909 Geomatic Engineering
  • 0906 Electrical and Electronic Engineering
  • 0404 Geophysics
 

Citation

APA
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MLA
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Zhang, X., Wang, D., Liu, Q., Yao, Y., Jia, K., He, T., … Liang, S. (2019). An Operational Approach for Generating the Global Land Surface Downward Shortwave Radiation Product from MODIS Data. IEEE Transactions on Geoscience and Remote Sensing, 57(7), 4636–4650. https://doi.org/10.1109/TGRS.2019.2891945
Zhang, X., D. Wang, Q. Liu, Y. Yao, K. Jia, T. He, B. Jiang, et al. “An Operational Approach for Generating the Global Land Surface Downward Shortwave Radiation Product from MODIS Data.” IEEE Transactions on Geoscience and Remote Sensing 57, no. 7 (July 1, 2019): 4636–50. https://doi.org/10.1109/TGRS.2019.2891945.
Zhang X, Wang D, Liu Q, Yao Y, Jia K, He T, et al. An Operational Approach for Generating the Global Land Surface Downward Shortwave Radiation Product from MODIS Data. IEEE Transactions on Geoscience and Remote Sensing. 2019 Jul 1;57(7):4636–50.
Zhang, X., et al. “An Operational Approach for Generating the Global Land Surface Downward Shortwave Radiation Product from MODIS Data.” IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 7, July 2019, pp. 4636–50. Scopus, doi:10.1109/TGRS.2019.2891945.
Zhang X, Wang D, Liu Q, Yao Y, Jia K, He T, Jiang B, Wei Y, Ma H, Zhao X, Li W, Liang S. An Operational Approach for Generating the Global Land Surface Downward Shortwave Radiation Product from MODIS Data. IEEE Transactions on Geoscience and Remote Sensing. 2019 Jul 1;57(7):4636–4650.

Published In

IEEE Transactions on Geoscience and Remote Sensing

DOI

EISSN

1558-0644

ISSN

0196-2892

Publication Date

July 1, 2019

Volume

57

Issue

7

Start / End Page

4636 / 4650

Related Subject Headings

  • Geological & Geomatics Engineering
  • 40 Engineering
  • 37 Earth sciences
  • 0909 Geomatic Engineering
  • 0906 Electrical and Electronic Engineering
  • 0404 Geophysics