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.
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.