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

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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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