An analysis task for plotting anomalies in ocean heat content (OHC) compared with a reference year (typically the start of the simulation).
Component and Tags:
component: ocean tags: climatology, horizontalMap, deltaOHC, publicObs
The following configuration options are available for this task:
[climatologyMapOHCAnomaly] ## options related to plotting horizontally remapped climatologies of ## ocean heat content (OHC) against reference model results (if available) # colormap for model/observations colormapNameResult = BuOr # color indices into colormapName for filled contours colormapIndicesResult = numpy.array(numpy.linspace(0, 255, 38), int) # colormap levels/values for contour boundaries colorbarLevelsResult = numpy.linspace(-12., 12., 37) # colormap levels/values for ticks (defaults to same as levels) colorbarTicksResult = numpy.linspace(-12., 12., 9) # colormap for differences colormapNameDifference = balance # color indices into colormapName for filled contours colormapIndicesDifference = numpy.array(numpy.linspace(0, 255, 10), int) # colormap levels/values for contour boundaries colorbarLevelsDifference = numpy.linspace(-2., 2., 11) # Months or seasons to plot (Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, # Oct, Nov, Dec, JFM, AMJ, JAS, OND, ANN) seasons = ['ANN'] # comparison grid(s) ('latlon', 'antarctic') on which to plot analysis comparisonGrids = ['latlon'] # A list of pairs of minimum and maximum depths (positive up, in meters) to # include in the vertical sums. The default values are the equivalents of the # default ranges of the timeSeriesOHCAnomaly task, with a value of -10,000 m # intended to be well below the bottom of the ocean for all existing MPAS-O # meshes. depthRanges = [(0.0, -10000.0), (0.0, -700.0), (-700.0, -2000.0), (-2000.0, -10000.0)]
depthRange is a list of upper and lower bounds in meters over
which to integrate the heat content.