SeasonalTauxLonRmse
eq_Taux_sea_cycle: zonal structure of the amplitude of the mean seasonal cycle of Taux in the equatorial Pacific
Computes the zonal root mean square error (RMSE) of of equatorial Pacific (150°E-90°W) amplitude (standard deviation) of the mean annual cycle (zonal 5°S-5°N average) zonal wind stress (Taux) between model and observations (the time averaging creates a 12 months mean annual cycle time series from which the standard deviation is computed)
TropFlux 1979-2018 (main)
20CRv2 1871-2012, ERA-Interim 1979-2018, NCEP2 1979-2018
equatorial Pacific
model and observations regridded toward a generic 1°x1° grid (using cdms esmf linear method)
- detrending (if applicable)
- mean annual cycle computation
- standard deviation computation
- regridding (if applicable)
- meridional average
- RMSE computation
monthly
10-3 N/m2
zonal wind stress (Taux)
The first level shows the diagnostic used to compute the metric and highlight the main differences between the model and the reference
Figure 1: bias in the zonal structure of the amplitude of the mean seasonal cycle of zonal wind stress (Taux) in the equatorial Pacific (5°S-5°N averaged). The black and blue curves show respectively the reference and the model. The metric derived is the zonal RMSE between the model curve and the reference curve
The second level shows the broader picture to better understand the spatial pattern of the bias: the map of the amplitude of the mean seasonal cycle in the equatorial Pacific
Figure 2: bias of the amplitude of the mean seasonal cycle of zonal wind stress (Taux) in the equatorial Pacific. The left and right maps show respectively the reference and the model
The third level shows the zonal structure of the mean seasonal cycle in a Hovmöller diagram
Figure 3: zonal structure of the mean seasonal cycle of zonal wind stress (Taux) in the equatorial Pacific (5°S-5°N averaged). The left and right maps show respectively the reference and the model