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A revisiting of the parametrization of downward longwave radiation in summer over the Tibetan Plateau based on high-temporal-resolution measurements

机译:基于高时分辨率测量,夏季夏季向下龙波辐射参数化重新探索

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The Tibetan Plateau (TP) is one of the research hot spots in the climate change research due to its unique?geographical?location and high altitude. Downward longwave radiation (DLR), as a key component in the surface energy budget, has practical implications for radiation budget and climate change. A couple of attempts have been made to parametrize DLR over the TP based on hourly or daily measurements and crude clear-sky discrimination methods. This study uses 1 min shortwave and longwave radiation measurements at three stations over the TP to parametrize DLR during summer months. Three independent methods are used to discriminate clear sky from clouds based on 1 min radiation and lidar measurements. This guarantees the strict selection of clear-sky samples that is fundamental for the parametrization of clear-sky DLR. A total of 11 clear-sky and 4 cloudy DLR parametrizations are examined and locally calibrated. Compared to previous studies, DLR parametrizations here are shown to be characterized by smaller root-mean-square errors (RMSEs) and higher coefficients of determination (R2). Clear-sky DLR can be estimated from the best parametrization with a RMSE of 3.8 W m?2 and R20.98. Systematic overestimation of clear-sky DLR by the locally calibrated parametrization in one previous study is found to be approximately 25 W m?2 (10 %), which is very likely due to potential residual cloud contamination on previous clear-sky DLR parametrization. The cloud base height under overcast conditions is shown to play an important role in cloudy DLR parametrization, which is considered in the locally calibrated parametrization over the TP for the first time. Further studies on DLR parametrization during nighttime and in seasons except summer are required for our better understanding of the role of DLR in climate change.
机译:藏高的高原(TP)是气候变化研究中的研究热点之一,由于其独特的?地理位置?位置和高海拔。向下长波辐射(DLR),作为表面能预算中的关键部件,对辐射预算和气候变化具有实际影响。根据每小时或每日测量和粗透明天空歧视方法,对参数化DLR进行了几次尝试。本研究在TP上使用1分钟的短波和龙波辐射测量到夏季的参数数据师DLR。基于1分钟的辐射和激光雷达测量,使用三种独立的方法来区分从云中的清晰天空。这保证了严格选择清空样本,这对于清晰的天空DLR的参数化是基础的。检查11个清晰的天空和4个多云的DLR参数化,并在本地校准。与先前的研究相比,这里的DLR参数化被示出特征在于较小的根均方误差(RMSE)和更高的确定系数(R2)。清除天空DLR可以从最佳参数化估计,RMSE为3.8 W m?2和R2> 0.98。在先前的研究中,通过局部校准的参数化进行局部校准参数化的系统高估为约25Wm?2(10%),这很可能是由于先前的清晰天空DLR参数化上的潜在残余云污染。在阴天条件下云基高度显示在多云的DLR参数化中发挥重要作用,这在局部校准的参数中首次考虑在局部校准的参数中。进一步研究夜间和季节的DLR参数化,除了夏季,我们需要更好地了解DLR在气候变化中的作用。

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