REDFIT: estimating red-noise spectra directly from unevenly spaced paleoclimatic time series
REDFIT: estimating red-noise spectra directly from unevenly spaced paleoclimatic time series
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DOI：
10.1016/s0098-3004(01)00044-9
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发表时间：
2002-04-01
影响因子：
4.4
通讯作者：
Mudelsee, M
中科院分区：
文献类型：
--
作者：
Schulz, M;Mudelsee, M
古气候时间序列在时间上往往是不均匀间隔的，这使得对其红噪声谱的准确估计变得困难。提出了一个Fortran 90程序（REDFIT），通过将许多气候过程具有特征的一阶自回归（AR1）过程直接拟合到非均匀间隔时间序列来克服这一问题。因此，可以避免时域内插及其不可避免的偏差。该程序可用于测试是否峰值的频谱的时间序列是显著的红噪声回。-轮从AR1进程。生成的和古气候的时间序列被用来证明程序的能力。(C) 20021 Elsevier Science Ltd.版权所有。
Palcoclimatic time series are often unevenly spaced in time, making it difficult to obtain an accurate estimate of their red-noise spectrum. A Fortran 90 program (REDFIT) is presented that overcomes this problem by fitting a first-order autoregressive (AR1) process, being characteristic for many climatic processes, directly to unevenly spaced time series. Hence, interpolation in the time domain and its inevitable bias can be avoided. The program can be used to test if peaks in the spectrum of a time series are significant against the red-noise back.-round from an AR1 process. Generated and paleoclimatic time series are used to demonstrate the capability of the program. (C) 20021 Elsevier Science Ltd. All rights reserved.