climatologyMapArgoTemperature
An analysis task for comparing potential temperature at various depths against Argo observations.
Component and Tags:
component: ocean
tags: climatology, horizontalMap, argo, temperature, publicObs
Configuration Options
The following configuration options are available for this task:
[climatologyMapArgoTemperature]
## options related to plotting climatology maps of Global
## potential temperature at various levels against
## reference model results and Roemmich-Gilson Argo Climatology
# comparison grid(s)
comparisonGrids = ['latlon']
# Months or seasons to plot (Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, Oct,
# Nov, Dec, JFM, AMJ, JAS, OND, ANN)
seasons = ['ANN','JAS','JFM']
# list of depths in meters (positive up) at which to analyze, 'top' for the
# sea surface. Argo data is only available above -2000 m
depths = ['top', -25, -50, -100, -150, -200, -400, -800, -1500]
# colormap for model/observations
colormapNameResult = RdYlBu_r
# the type of norm used in the colormap
normTypeResult = linear
# A dictionary with keywords for the norm
normArgsResult = {'vmin': -2., 'vmax': 30.}
# place the ticks automatically by default
# colorbarTicksResult = numpy.linspace(-2., 2., 9)
# colormap for differences
colormapNameDifference = balance
# the type of norm used in the colormap
normTypeDifference = linear
# A dictionary with keywords for the norm
normArgsDifference = {'vmin': -2., 'vmax': 2.}
# place the ticks automatically by default
# colorbarTicksDifference = numpy.linspace(-2., 2., 9)
- For more details, see:
The option depths is a list of (approximate) depths at which to sample
the potential temperature field. A value of 'top' indicates the sea
surface (or the ice-ocean interface under ice shelves) while a value of
'bot' indicates the seafloor.
Observations
Example Result
