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Simple statistical structure in time series for daily air flow characteristics
Author(s) -
Post Piia,
Kärner Olavi
Publication year - 2008
Publication title -
environmetrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.68
H-Index - 58
eISSN - 1099-095X
pISSN - 1180-4009
DOI - 10.1002/env.855
Subject(s) - series (stratigraphy) , hurst exponent , range (aeronautics) , longitude , scale (ratio) , environmental science , meteorology , flow (mathematics) , latitude , variance (accounting) , mathematics , time series , statistics , climatology , geodesy , geography , geology , geometry , cartography , paleontology , materials science , accounting , business , composite material
The structure function is used for quantifying of non‐stationarity in time series for certain daily air flow characteristics (DAFC). The National Center for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis 30 year (1968–97) dataset given over 5° × 10° latitude longitude grid is used to calculate the DAFC series for the Baltic Sea region. The quantification on the basis of the Hurst exponent H enables us to discriminate between the strong synoptic scale non‐stationarity and a mild large‐scale one. Presented examples show that the change of H is accompanied by a change of the distribution for the series' increments. Long‐range increments for various DAFC appear to be approximately normally distributed with approximately constant variance independent of the increment length over a remarkably wide range. The property might be useful in describing a long‐range variability of the air flow characteristics. Copyright © 2007 John Wiley & Sons, Ltd.