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Analyzing the uncertainties between reanalysis meteorological data and ground measured meteorological data

机译:分析再分析气象数据与地面测量气象数据的不确定性

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The measurement data from an implemented device together with some reanalysis meteorological data were statistically analyzed via the evaluation of the mean, standard deviation (SD), mean bias error (MBE), root mean square error (RMSE), correlation coefficient (k), normal distribution function (NDF), empirical cumulative distribution function (ECDF), scatter plot (SP), diurnal cycles (DC) and annual cycles (AC) using R. These evaluations show the uncertainties and errors associated with the meteorological data used for this study. From the NDF, ECDF, SP, DC, and AC, it was observed that there were underestimations/overestimations among the meteorological variables considered showing that there was some level of discrepancies between the measured meteorological data and satellite reanalysis data. These results obtained hitherto from this study will be of assistance in striking the much-anticipated balance between ground measured meteorological data and satellite (reanalysis) meteorological data that are readily available for meteorological studies. (c) 2020 Elsevier Ltd. All rights reserved.
机译:通过评估平均值,标准偏差(SD),平均偏差误差(MBE),根均方误差(RMSE),相关系数(k),从实现的设备的测量数据与一些重新分析气象数据一起进行统计分析。使用R的正态分布函数(NDF),经验累积分布函数(ECDF),散射图(SP),昼夜循环(DC)和年度周期(AC),这些评估显示了与用于此中的气象数据相关的不确定性和错误学习。从NDF,ECDF,SP,DC和AC中观察到,在考虑的气象变量中显示出低估/高度估计,表明测量的气象数据和卫星重新分析数据之间存在一些差异程度的差异。本研究中迄今为止获得的这些结果将有助于触发地面测量的气象数据和卫星(Reanalysis)气象数据之间的众多预期的平衡,这些数据随时可用于气象研究。 (c)2020 elestvier有限公司保留所有权利。

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