CALCULATING REGIONAL CLIMATIC TIME SERIES FOR TEMPERATURE AND PRECIPITATION: METHODS AND ILLUSTRATIONS

CALCULATING REGIONAL CLIMATIC TIME SERIES FOR TEMPERATURE AND PRECIPITATION: METHODS AND... Various methods for combining station temperature and precipitation time series into regional series are examined. Interpolation of the station series on to regular grid‐boxes of some kind reduces the effects of both spatial and temporal changes in station coverage. Regional time series are best produced by using anomaly or standardized anomaly values rather than the raw values. For temperature, and for spatially coherent regions in terms of precipitation variance, the exact method does not seriously affect the resulting time series, provided anomalies are used, although the magnitudes of trends may differ. For regions with large spatial variations in precipitation variance, the additional step of standardizing the anomaly values is recommended. Both anomaly and standardized anomaly series can be easily transformed back to the original units, although the exact method for doing so can alter the resulting time series in non‐trivial ways. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Climatology Wiley

CALCULATING REGIONAL CLIMATIC TIME SERIES FOR TEMPERATURE AND PRECIPITATION: METHODS AND ILLUSTRATIONS

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Publisher
Wiley
Copyright
Copyright © 1996 The Royal Meteorological Society
ISSN
0899-8418
eISSN
1097-0088
DOI
10.1002/(SICI)1097-0088(199604)16:4<361::AID-JOC53>3.0.CO;2-F
Publisher site
See Article on Publisher Site

Abstract

Various methods for combining station temperature and precipitation time series into regional series are examined. Interpolation of the station series on to regular grid‐boxes of some kind reduces the effects of both spatial and temporal changes in station coverage. Regional time series are best produced by using anomaly or standardized anomaly values rather than the raw values. For temperature, and for spatially coherent regions in terms of precipitation variance, the exact method does not seriously affect the resulting time series, provided anomalies are used, although the magnitudes of trends may differ. For regions with large spatial variations in precipitation variance, the additional step of standardizing the anomaly values is recommended. Both anomaly and standardized anomaly series can be easily transformed back to the original units, although the exact method for doing so can alter the resulting time series in non‐trivial ways.

Journal

International Journal of ClimatologyWiley

Published: Apr 1, 1996

References

  • Mean seasonal and spatial variability in gauge corrected, global precipitation
    Legates, Legates; Willmott, Willmott
  • Climatologically aided interpolation (CAI) of terrestrial air temperature
    Willmott, Willmott; Robeson, Robeson

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