Articles | Volume 16, issue 1
https://doi.org/10.5194/essd-16-161-2024
https://doi.org/10.5194/essd-16-161-2024
Data description paper
 | 
10 Jan 2024
Data description paper |  | 10 Jan 2024

A coarse pixel-scale ground “truth” dataset based on global in situ site measurements to support validation and bias correction of satellite surface albedo products

Fei Pan, Xiaodan Wu, Qicheng Zeng, Rongqi Tang, Jingping Wang, Xingwen Lin, Dongqin You, Jianguang Wen, and Qing Xiao

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Cited articles

Augustine, J. A., Deluisi, J. J., and Long, C. N.: SURFRAD-A National Surface Radiation Budget Network for Atmospheric Research, B. Am. Meteorol. Soc., 81, 2341–2358, https://doi.org/10.1175/1520-0477(2000)081<2341:SANSRB>2.3.CO;2, 2000. 
An, Y., Meng, X., Zhao, L., Li, Z., Wang, S., Shang, L., Chen, H., and Lyu, S.: Evaluation of surface albedo over the Tibetan Plateau simulated by CMIP5 models using in-situ measurements and MODIS, Int. J. Climatol., 42, 928–951, https://doi.org/10.1002/joc.7281, 2022. 
Baldocchi, D., Falge, E., Gu, L., Olson, R., Hollinger, D., Running, S., Anthoni, P., Bernhofer, C., Davis, K., Evans, R., Fuentes, J., Goldstein, A., Katul, G., Law, B., Lee, X., Malhi, Y., Meyers, T., Munger, J., Oechel, W., Paw U, K. T., Pilegaard, K., Schmid, H. P., Valentini, R., Verma, S., Vesala, T., Wilson, K., and Wofsy, S.: FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem–Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities, B. Am. Meteorol. Soc., 82, 2415–2434, https://doi.org/10.1175/1520-0477(2001)082<2415:FANTTS>2.3.CO;2, 2001. 
Calheiros, R. V. and Zawadzki, I.: Reflectivity-Rain Rate Relationships for Radar Hydrology in Brazil, J. Clim. Appl. Meteorol., 26, 118–132, https://doi.org/10.1175/1520-0450(1987)026<0118:RRRRFR>2.0.CO;2, 1987. 
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Short summary
To effectively tackle the challenges posed by spatial-scale differences and spatial heterogeneity, this paper presents a distinctive coarse pixel-scale ground “truth" dataset by upscaling sparsely distributed in situ measurements. This dataset is a valuable resource for validating and correcting global surface albedo products, enhancing reference data accuracy by 6.04 %. Remarkably, it substantially enhances 17.09 % in regions with strong spatial heterogeneity.
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