.. _task_antshipTransects: antshipTransects ================ An analysis task for interpolating MPAS fields to transects from ship-based observations around Antarctica and comparing them. Component and Tags:: component: ocean tags: climatology, transect, publicObs Configuration Options --------------------- The following configuration options are available for this task:: [antshipTransects] ## options related to plotting model ship CTD transects. # Times for comparison times (Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, Oct, # Nov, Dec, JFM, AMJ, JAS, OND, ANN) seasons = ['JFM'] #seasons = ['ANN', 'Jan', 'JFM', 'JAS'] # The approximate horizontal resolution (in km) of each transect. Latitude/ # longitude between observation points will be subsampled at this interval. # Use 'obs' to indicate no subsampling. Use 'mpas' to indicate plotting of # model data on the native grid, in which case comparison with observations # will take place on the observation grid. #horizontalResolution = mpas #horizontalResolution = obs horizontalResolution = 5 # Horizontal bounds of the plot (in km), or an empty list for automatic bounds # The bounds are a 2-element list of the minimum and maximum distance along the # transect. Note: A21=Drake Passage; A23=South Atlantic; A12=Prime Meridian horizontalBounds = {'Belling-BelgicaTrough1-2007': [], 'Belling-BelgicaTrough2-2007': [], 'Belling-Cross1-2007': [], 'Belling-Cross2-2007': [], 'Belling-Cross3-2007': [], 'Belling-EltaninBay-Along-2007': [], 'Belling-GeorgeVI-AlongW1-2007': [], 'Belling-GeorgeVI-AlongW2-2007': [], 'Amundsen-AcrossPIG1-2020': [], 'Amundsen-AcrossPIG2-2020': [], 'Amundsen-AcrossPIG3-2020': [], 'Amundsen-E-Dodson1-1994': [], 'Amundsen-E-Dodson2-1994': [], 'Amundsen-E-PIG-2020': [], 'Amundsen-E-ThwaitesCrosson-1994': [], 'Amundsen-W-PIG-1994': [], 'Amundsen-W-PIG-2009': [], 'Amundsen-W-PIG-2014': [], 'Amundsen-W-PIG-2019': [], 'Ross-C1-2004': [], 'Ross-C2-2004': [], 'Ross-C3-2004': [], 'Ross-C4-2004': [], 'Ross-C5-2004': [], 'Ross-C6-2004': [], 'Ross-C7-2004': [], 'Ross-Shelf1-1994': [], 'Amery-AlongFront-2002': [], 'Amery-AlongFront-2006': [], 'Amery-Lon73.5-1992': [], 'Amery-Lon73.5-2000': [], 'Amery-Lon75.5-1992': [], 'Amery-Lon75.5-2008': [], 'DML-RoiB-E-2008': [], 'DML-RoiB-E-2019': [], 'DML-RoiB-C-1996': [], 'DML-RoiB-C-2006': [], 'DML-RoiB-W-2003': [], 'DML-Munin-Lon18-2003': [], 'DML-Fimbul-E-Lon6.25-1991': [], 'DML-Fimbul-C-Lon0-1992': [], 'DML-Fimbul-C-Lon0-1996': [], 'DML-Fimbul-C-Lon0-2008': [], 'Weddell-RiiserLarsen-C1-1995': [], 'Weddell-RiiserLarsen-C2-1985': [], 'Weddell-RiiserLarsen-C2-2009': [], 'Weddell-RiiserLarsen-C2-2010': [], 'Weddell-RiiserLarsen-C3-1985': [], 'Weddell-RiiserLarsen-C4-1985': [], 'Weddell-RiiserLarsen-C5-1985': [], 'Weddell-RiiserLarsen-C6-1987': [], 'Weddell-StancombBrunt-1990': [], 'Weddell-Filchner-C1-2009': [], 'Weddell-Filchner-C2-2017': [], 'Weddell-Filchner-C3-1995': [], 'Weddell-Filchner-C4-1977': [], 'Weddell-Filchner-C4-1990': [], 'Weddell-Filchner-C5-1978': [], 'Weddell-FilchnerTrough-1995': [], 'Weddell-FilchnerTrough-1999': [], 'Weddell-Ronne-C1-1999': [], 'Weddell-FRISAlongFront-1995': [], 'Weddell-FRISAlongFront-2018': [], 'Weddell-Larsen-C1-1992': [], 'Weddell-Larsen-C2-1992': [], 'Weddell-Larsen-AlongBreak-1992': []} # The name of the vertical comparison grid. Valid values are 'mpas' for the # MPAS vertical grid, 'obs' to use the locations of observations or # any other name if the vertical grid is defined by 'verticalComparisonGrid'. # If horizontalResolution is 'mpas', model data (both main and control) will be # plotted on the MPAS vertical grid, regardless of the comparison grid. #verticalComparisonGridName = mpas verticalComparisonGridName = obs #verticalComparisonGridName = uniform_0_to_4000m_at_10m # The vertical comparison grid if 'verticalComparisonGridName' is not 'mpas' or # 'obs'. This should be numpy array of (typically negative) elevations (in m). # The first and last entries are used as axis bounds for 'mpas' and 'obs' # vertical comparison grids #verticalComparisonGrid = numpy.linspace(0, -1100, 111) # A range for the y axis (if any) verticalBounds = [] # The minimum weight of a destination cell after remapping. Any cell with # weights lower than this threshold will therefore be masked out. renormalizationThreshold = 0.01 [antshipTemperatureTransects] ## options related to plotting FRIS transects of potential temperature # colormap for model/observations colormapNameResult = RdYlBu_r # whether the colormap is indexed or continuous colormapTypeResult = indexed # color indices into colormapName for filled contours colormapIndicesResult = numpy.array(numpy.linspace(0, 255, 24), int) # colormap levels/values for contour boundaries colorbarLevelsResult = np.arange(-2.2, 2.2 + 0.2, 0.2) # colormap levels/values for ticks (defaults to same as levels) colorbarTicksResult = np.arange(-2.0, 2.0 + 0.4, 0.4) # Adding contour lines to the figure contourLevelsResult = [-1.9] contourThicknessResult = 0.5 contourColorResult = black # colormap for differences colormapNameDifference = balance # whether the colormap is indexed or continuous colormapTypeDifference = indexed # color indices into colormapName for filled contours colormapIndicesDifference = numpy.array(numpy.linspace(0, 255, 22), int) # colormap levels/values for contour boundaries colorbarLevelsDifference = np.arange(-1.0, 1.0 + 0.1, 0.1) colorbarTicksDifference = np.arange(-1.0, 1.0 + 0.2, 0.2) [antshipSalinityTransects] ## options related to plotting FRIS transects of salinity # colormap for model/observations colormapNameResult = haline # whether the colormap is indexed or continuous colormapTypeResult = indexed # color indices into colormapName for filled contours colormapIndicesResult = numpy.array(numpy.linspace(0, 255, 22), int) # colormap levels/values for contour boundaries colorbarLevelsResult = np.arange(34.0, 35.0 + 0.05, 0.05) # colormap levels/values for ticks (defaults to same as levels) colorbarTicksResult = np.arange(34.0, 35.0 + 0.1, 0.1) # Adding contour lines to the figure contourLevelsResult = [34.8] contourThicknessResult = 0.5 contourColorResult = black # colormap for differences colormapNameDifference = balance # whether the colormap is indexed or continuous colormapTypeDifference = indexed # color indices into colormapName for filled contours colormapIndicesDifference = numpy.array(numpy.linspace(0, 255, 26), int) # colormap levels/values for contour boundaries colorbarLevelsDifference = np.arange(-0.6, 0.6 + 0.05, 0.05) colorbarTicksDifference = np.arange(-0.6, 0.6 + 0.2, 0.2) [antshipPotentialDensityTransects] ## options related to plotting geojson transects of potential density # colormap for model/observations colormapNameResult = Spectral_r # whether the colormap is indexed or continuous colormapTypeResult = indexed # color indices into colormapName for filled contours colormapIndicesResult = numpy.array(numpy.linspace(0, 255, 22), int) # colormap levels/values for contour boundaries colorbarLevelsResult = np.arange(1027.1, 1028.1 + 0.05, 0.05) # colormap levels/values for ticks (defaults to same as levels) colorbarTicksResult = np.arange(1027.1, 1028.1 + 0.1, 0.1) # colormap for differences colormapNameDifference = balance # whether the colormap is indexed or continuous colormapTypeDifference = indexed # color indices into colormapName for filled contours colormapIndicesDifference = numpy.array(numpy.linspace(0, 255, 26), int) # colormap levels/values for contour boundaries colorbarLevelsDifference = np.arange(-0.6, 0.6 + 0.05, 0.05) colorbarTicksDifference = np.arange(-0.6, 0.6 + 0.2, 0.2) [antshipPotentialDensityContourTransects] ## options related to plotting FRIS transects with potential density contours # Whether to plot the transect as a single contour plot, as opposed to separate # panels for model, reference and difference. compareAsContoursOnSinglePlot = True contourLevelsResult = [1027.2, 1027.4, 1027.6, 1027.7, 1027.8, 1027.85, 1027.9, 1027.95, 1028.0] For details on these configuration options, see: * :ref:`config_transects` * :ref:`config_remapping` * :ref:`config_colormaps` * :ref:`config_seasons` Observations ------------ :ref:`antship` Example Result -------------- .. image:: examples/antship_transect.png :width: 500 px :align: center