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Estimations of Land Surface Characteristic Parameters and Turbulent Heat Fluxes over the Tibetan Plateau Based on FY-4A/AGRI Data


Accurate estimates of land surface characteristic parameters and turbulent heat fluxes play an important role in the understanding of land-atmosphere interaction. In this study, Fengyun-4A (FY-4A) Advanced Geostationary Radiation Imager (AGRI) satellite data and the China Land Data Assimilation System (CLDAS) meteorological forcing dataset CLDAS-V2.0 were applied for the retrieval of broadband albedo, land surface temperature (LST), radiation flux components, and turbulent heat fluxes over the Tibetan Plateau (TP). The FY-4A/AGRI and CLDAS-V2.0 data from 12 March 2018 to 30 April 2018 were first used to estimate the hourly turbulent heat fluxes over the TP. The time series data of in-situ measurements from the Tibetan Observation and Research Platform were divided into two halves—one for developing retrieval algorithms for broadband albedo and LST based on FY-4A, and the other for the cross validation. Results show the root-mean-square errors (RMSEs) of the FY-4A retrieved broadband albedo and LST were 0.0309 and 3.85 K, respectively, which verifies the applicability of the retrieval method. The RMSEs of the downwelling/upwelling shortwave radiation flux and downwelling/upwelling longwave radiation flux were 138.87/32.78 W m−2 and 51.55/17.92 W m−2, respectively, and the RMSEs of net radiation flux, sensible heat flux, and latent heat flux were 58.88 W m−2, 82.56 W m−2 and 72.46 W m−2, respectively. The spatial distributions and diurnal variations of LST and turbulent heat fluxes were further analyzed in detail.


地表特征参数和湍流热通量的准确估算对地–气相互作用研究至关重要。利用FY-4A/AGRI卫星数据(2018年3月12日至2018年4月30日)和CLDAS-V2.0气象驱动数据进行青藏高原地区地表宽波段反照率、地表温度、辐射四分量和湍流热通量的估算,首次得到基于FY-4A的小时尺度地表热通量数据。基于青藏高原观测研究平台实测数据的交叉验证表明,地表宽波段反照率和地表温度的均方根误差分别为0.0309和3.85 K。下行/上行短波辐射通量、下行/上行长波辐射通量、净辐射通量、感热通量和潜热通量的均方根误差分别为138.87/32.78 W m−2,51.55/17.92 W m−2,58.88 W m−2,82.56 W m−2和72.46 W m−2。在此基础上,进一步详细分析了地表温度和湍流热通量的日变化和空间分布特征。

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This research was jointly funded by the Second Tibetan Plateau Scientific Expedition and Research Program (Grant No. 2019QZKK010305), the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA20060101), the National Natural Science Foundation of China (Grant Nos. 41875031, 91837208, 41522501 and 41275028), the Chinese Academy of Sciences Basic Frontier Science Research Program from 0 to 1 Original Innovation Project (Grant No. ZDBS-LY-DQC005-01), and the Chinese Academy of Sciences (Grant No. QYZDJ-SSW-DQC019). The FY-4A data can be obtained from The CLDAS-V2.0 product can be downloaded from We sincerely thank the National Tibetan Plateau Data Center for providing the TORP in-situ measurements.

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Correspondence to Lei Zhong.

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Article Highlights

• A set of retrieval methods for land surface characteristic parameters based on FY-4A/AGRI was developed.

• The hourly data of land surface turbulent heat fluxes over the TP were firstly estimated by using FY-4A/AGRI.

• The characteristics for hourly variations of LST and turbulent heat fluxes were clearly identified.

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Ge, N., Zhong, L., Ma, Y. et al. Estimations of Land Surface Characteristic Parameters and Turbulent Heat Fluxes over the Tibetan Plateau Based on FY-4A/AGRI Data. Adv. Atmos. Sci. 38, 1299–1314 (2021).

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Key words

  • FY-4A/AGRI
  • land surface characteristic parameters
  • turbulent heat fluxes
  • Surface Energy Balance System model
  • Tibetan Plateau


  • FY-4A/AGRI
  • 地表特征参数
  • 湍流热通量
  • SEBS模型
  • 青藏高原