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Data Pooling

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byLukas Hörtnagl
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In this example the dataset spans 2+ years of measurements. Data are divided into 4 different seasons: DJF (winter), MAM (spring), JJA (summer) and SON (autumn). In total, the dataset comprises 3 winters, 2 springs, 2 summers and 2 autumns. There are different options how to calculate seasonal analyses, e.g. calculating the ustar threshold.

 

Overview

Legend

DJF … Dec, Jan, Feb; MAM … Mar, Apr, May; JJA … Jun, Jul, Aug; SON … Sep, Oct, Nov

 

Option 1: One result for each season type

One result for each season type (e.g. DJF).

  • RESULT DJF is calculated from data pool that includes data DJF 1, DJF 2 and DJF 3.
  • RESULT MAM is calculated from data pool that includes data MAM 1 and MAM 2.
  • RESULT JJA is calculated from data pool that includes data JJA 1 and JJA 2.
  • RESULT SON is calculated from data pool that includes data SON 1 and SON 2.

 

 Option 2: One result for each season

This is basically a fully dynamic approach that yields one result for each season.

  • RESULT DJF 1 is calculated from data DJF 1
  • RESULT MAM 1 is calculated from data MAM 1.
  • etc.