A new parameterization scheme for estimating surface energy fluxes with continuous surface temperature, air temperature, and surface net radiation measurements
A new parameterization scheme for estimating surface energy fluxes with continuous surface temperature, air temperature, and surface net radiation measurements
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一种新的参数化方案，用于通过连续的表面温度、空气温度和表面净辐射测量来估计表面能量通量
DOI：
10.1002/2013wr014468
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发表时间：
2014-02-01
影响因子：
5.4
通讯作者：
Li, Zhao-Liang
中科院分区：
文献类型：
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作者：
Lu, Jing;Tang, Ronglin;Li, Zhao-Liang
本研究提出了一种不需要计算各种阻力，通过对地表温度（Ts）、气温（Ta）和净辐射（Rn）的连续观测同时估算地表能量通量(地表感热通量(H)、潜热通量（LE）和土壤热通量(G)的方法。首先，H、LE和G由一些恒定参数参数化，这些参数在给定的一天内保持相当不变，并且与Ts和Ta相关的一些已知函数。其次，采用基于表面能量平衡的最小化技术求解这些常数参数。利用玉城站地面测量数据对所开发方法的性能进行了评估。结果表明，简化的参数化方案在瞬时时间尺度上能很好地再现H、LE和G，均方根误差（RMSE）为~ 20 W/m2，在日尺度上表现更好。以禹城站测得的已知Ts、Ta和Rn作为输入，估算H、LE和G，瞬时时间尺度的均方根误差为~ 60 W/m2，日尺度的均方根误差为~ 20 W/m2。开发的方法可以通过地球静止气象卫星的遥感数据来满足全天连续观测的要求。较少的输入变量和不需要计算各种电阻，使该方法有可能在大面积上产生表面通量。
This study develops a method for estimating surface energy fluxes (surface sensible heat flux (H), latent heat flux (LE), and soil heat flux (G)) simultaneously from continuous observations of surface temperature (Ts), air temperature (Ta), and net radiation (Rn) without calculating various resistances. First, H, LE, and G are parameterized by some constant parameters that remain fairly invariant during a given day and some known functions related to Ts and Ta. Second, these constant parameters are solved by a minimization technique based on surface energy balance. Data from ground‐based measurements at the Yucheng station were used to evaluate the performance of the developed method. Results show that the simplified parameterization schemes well reproduce H, LE, and G with a root mean square error (RMSE) of ∼20 W/m2 at the instantaneous time scale, and perform better at the daily scale. For the estimates of H, LE, and G using the known Ts, Ta, and Rn measured at the Yucheng station as inputs, the RMSE is ∼60 W/m2 at the instantaneous time scale and ∼20 W/m2 at the daily scale. The requirement of continuous observations throughout a day in the developed method could be met by remotely sensed data from geostationary meteorological satellites. Fewer input variables and the obviation of calculating various resistances give the method the potential to generate surface fluxes over a large area.