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An efficient algorithm for calculating photosynthetically active radiation with MODIS products

机译:一种高效的算法,用于用MODIS产品计算光合作用辐射

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摘要

Photosynthetically active radiation (PAR) is the critical forcing data in ecological and agricultural fields. Remote sensing can be utilized to derive spatiotemporally continuous PAR. Empirical algorithms can be used to quickly retrieve surface PAR data sets, but their accuracy cannot be guaranteed in regions without local calibration. Physical algorithms generally incorporate all relevant physical processes and can be used globally, but their computational efficiency is often low. In this paper, an efficient algorithm is developed to calculate surface PAR by combining a clear-sky PAR model and the parameterizations for cloud transmittances. In the algorithm, the transmittances for water vapor, ozone, Rayleigh, aerosol, and cloud are each handled across the whole PAR band (400700 nm). In addition, the contribution of the multiple reflections between surface ground and the atmosphere are also expressly considered. The new algorithm is applied to estimate instantaneous PAR with inputs from Moderate Resolution Imaging Spectroradiometer (MODIS) products onboard both Terra and Aqua platforms. The daily PAR is estimated from these two instantaneous values by an upscaling method. The instantaneous and daily PAR estimates were validated with in situ data collected in the USA and China. The results indicate that the new algorithm, based on MODIS products, can effectively retrieve PAR with root mean square errors (RMSE) of about 40 W m(-2) and 15 W m(-2) at instantaneous and daily-mean time scales, respectively. These performances are generally better than those of previous studies. (C) 2017 Elsevier Inc. All rights reserved.
机译:光合作用辐射(PAR)是生态和农业领域的关键迫使数据。遥感可用于衍生出蝇延时连续的参数。经验算法可用于快速检索曲面PAR数据集,但在没有本地校准的区域中不能保证它们的准确性。物理算法通常包含所有相关的物理过程,并且可以全局使用,但它们的计算效率通常很低。在本文中,开发了一种有效的算法来计算Clear Sky PAR模型和云透射率的参数来计算表面标准。在算法中,每个透射率,臭氧,瑞利,气溶胶和云各自在整个PAR(400700nm)上处理。此外,还明确考虑了表面地与大气之间的多个反射的贡献。应用新算法以估算来自适量分辨率成像光谱仪(MODIS)产品的瞬时分析,在滚动器和Aqua平台上的中等分辨率成像分光镜(MODIS)产品。每日靶标通过升级方法从这两个瞬时值估计。瞬时和日常估算估计是在美国和中国收集的原位数据验证。结果表明,基于MODIS产品的新算法可以在瞬时和每日平均时间尺度下有效地检索大约40W m(-2)和15W m(-2)的根均方误差(RMSE) , 分别。这些表演通常比以前研究的表现更好。 (c)2017年Elsevier Inc.保留所有权利。

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