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Piecewise linear fitting and trend changing points of climate parameters - art. no. L02207

机译:气候参数的分段线性拟合和趋势变化点-艺术没有。 L02207

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摘要

Finding an overall linear trend is a common method in scientific studies. It is almost a requirement when one intends to study variability. Nevertheless, when dealing with long climate temporal series, fitting a straight line only seldom has a relevant meaning. This paper proposes and describes a new methodology for finding overall trends, and, simultaneously, for computing a new set of climate parameters: the breakpoints between periods with significantly different trends. The proposed methodology uses a least-squares approach to compute the best continuous set of straight lines that fit a given time series, subject to a number of constraints on the minimum distance between breakpoints and on the minimum trend change at each breakpoint. The method is tested with three climate time series. [References: 10]
机译:找到总体线性趋势是科学研究中的常用方法。当人们打算研究变异性时,这几乎是一项要求。但是,在处理较长的气候时间序列时,很少拟合直线具有相关的意义。本文提出并描述了一种新的方法,该方法可用于发现总体趋势,并同时用于计算一组新的气候参数:趋势明显不同的时段之间的断点。所提出的方法使用最小二乘法来计算适合给定时间序列的最佳连续直线集,但要遵守多个断点之间的最小距离和每个断点处最小趋势变化的约束。该方法用三个气候时间序列进行了测试。 [参考:10]

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