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Effects of complex terrain on net surface longwave radiation in China

Zhu, Xiaochen, Qiu, Xinfa, Zeng, Yan, Ren, Wei, Tao, Bo, Gao, Jiaqi, Liu, Haobo, Tan, Yunjuan
Theoretical and applied climatology 2018 v.134 no.1-2 pp. 251-264
air pollution, cloud cover, digital elevation models, isotropy, landscapes, meteorological data, mountains, relative humidity, solar radiation, surface temperature, topography, China
Net surface longwave radiation (NSLR) is one of key meteorological factors and is strongly influenced by cloud cover, surface temperature, humidity, and local micrometeorological conditions as well as terrain conditions. Realistically estimating NSLR is vitally important for understanding surface radiation balance and investigating micrometeorological factors of air pollution dispersion, especially in regions with complicated terrain. In this study, we proposed a distributed model for estimating NSLR by considering effects of complex local terrain conditions in China. Meteorological data (including mean temperature, relative humidity, and sunshine percentage) and observed NSLR data from 1993 to 2001 together with the digital elevation model data were used to parametrize the model and account for the effects of atmospheric factors and surface terrain factors according to the isotropic principle. The monthly NSLR during 1961–2000 was estimated at a spatial resolution of 1 km. Topographic analysis suggests that the distribution characteristics of NSLR with elevation or slope are consistent with those of field observations. In particular, the estimated NSLR is favorably comparable with site-level observations on the Tibetan Plateau (average relative error < 11%). Our results indicate that this model can describe microscale distribution features in mountainous areas in detail and that this improved approach can be used for NSLR spatial estimation in other regions with complicated terrain.