homogeneity of the eca temperature data
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HOMOGENEITY OF THE ECA TEMPERATURE DATA. Janet Wijngaard KNMI, The Netherlands PISA, 16-20 October. High quality data. Climate variability and extremes analysis

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homogeneity of the eca temperature data

HOMOGENEITY OF THE ECA TEMPERATURE DATA

Janet Wijngaard

KNMI, The Netherlands

PISA, 16-20 October

high quality data
High quality data
  • Climate variability and extremes analysis
    • What about the quality of the data? Annual DTR series: - artificial changes opposite effect - natural changes same effect
homogeneitytests
HomogeneityTests
  • No reference stations used:
    • stations are too diverse and coarse network
  • Four tests applied:
    • Standard Normal Homogeneity Test (Alexandersson)
    • Buishand Range test, based on cumulative sums
    • Pettitt test, non-parametric (Sneyers)
    • Von Neumann ratio
conclusions
CONCLUSIONS
  • Test results: first indication for homogeneity
  • Meta data should be used to verify results
  • Quality/Homogeneity check important take full advantage of the ECA data set
  • ECD
testing variables
Testing Variables
  • Diurnal Temperature Range
    • annual mean
    • annual standard deviation of day-to-day changes
  • Annual number of wet days (>1 mm)
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