Evaluating observation and modeling of net radiation based on remote sensing data and CoLM

Estimation of surface net radiation (SNR) is essential for understanding the land surface energy transformation, snow melting calculations, modeling crop growth, and addressing water resource management. In this study, two sets of experiments were performed to identify, respectively, the impacts of MODIS land surface temperature (LST) products, ground-based incoming shortwave and long-wave radiation and albedo measurements, as well as the performance of CoLM with respect to modeling SNR in the Tibetan Plateau at three timescales (half-hourly, hourly, daily, and monthly). The results show that the two experiments provide nearly the similar results and are obvious higher than ground measured SNR validations at three different timescales. SNRs obtained at half-hourly and hourly timescales closely match the real data fluctuations, while daily timescale is too large to catch the short-term fluctuations according to the peak values at the three timescales. Moreover, compared with Method 2, Method 1 is more accurate at different timescales.

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