Projections of severe heat waves in the United Kingdom

Projections of severe heat waves in the United Kingdom
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英国严重热浪的预测

DOI:
10.3354/cr01428
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发表时间:
2016
期刊:
影响因子:
1.1
通讯作者:
G. Ford
G. Ford
中科院分区:
地球科学4区
文献类型:
--
作者:
M. Sanderson;G. Ford

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在本研究中,Amengual等人(2012)的分位数-分位数映射转换用于偏差校正建模的每日最高和最低温度。该方法修正了感兴趣变量的累积分布函数(CDF)的平均值、变异性和形状的误差。公式(S1.1)中显示了总体调整过程,图S1中对日最高温度进行了说明。在公式(S1.1)至(S1.4)中,显示了第i个排序值:bci是未来某个时间段的偏差校正模型数据,oi是观测值,sbi和sfi分别是基线和未来时间段的(未校正)模型数据。模拟基线和观测的时间段相同。
In the present study, the quantile-quantile mapping transformation of Amengual et al. (2012) is used to bias correct modelled daily maximum and minimum temperatures. This method amends errors in the mean, variability and shape of the cumulative distribution functions (CDFs) of the variables of interest. The overall adjustment process is shown in equation (S1.1) and is illustrated in Figure S1 for daily maximum temperatures. In equations (S1.1) to (S1.4), the ith ranked values are shown: bci is the bias-corrected model data for some future period, oi are the observations, and sbi and sfi are the (uncorrected) model data for the baseline and future time periods respectively. The time periods of the modelled baseline and observations are the same.