Ejemplo n.º 1
0
def build_ocean_basins(gf, plot):
    '''
    Builds features defining the major ocean basins

    Parameters
    ----------
    gf : ``GeometricFeatures``
        An object that knows how to download and read geometric featuers

    plot : bool
        Whether to plot each basin

    Returns
    -------
    fc : ``FeatureCollection``
        The new feature collection
    '''
    # Authors
    # -------
    # Xylar Asay-Davis

    fc = FeatureCollection()
    fc.set_group_name(groupName='OceanBasinRegionsGroup')

    # build ocean basins from regions with the appropriate tags
    for oceanName in [
            'Atlantic', 'Pacific', 'Indian', 'Arctic', 'Southern_Ocean',
            'Mediterranean'
    ]:

        basinName = '{}_Basin'.format(oceanName)
        print(oceanName)

        print(' * merging features')
        fcBasin = gf.read(componentName='ocean',
                          objectType='region',
                          tags=[basinName])

        print(' * combining features')
        fcBasin = fcBasin.combine(featureName=basinName)

        fc.merge(fcBasin)

        if plot:
            fcBasin.plot(projection='cyl')
            plt.title(oceanName)

    # add the global ocean, global ocean between 65S and 65S, and
    # equatorial region
    fc.merge(
        gf.read(componentName='ocean',
                objectType='region',
                featureNames=[
                    'Global Ocean', 'Global Ocean 65N to 65S',
                    'Global Ocean 15S to 15N'
                ]))

    return fc
Ejemplo n.º 2
0
def build_MOC_basins(gf):
    '''
    Builds features defining the ocean basins used in computing the meridional
    overturning circulation (MOC)

    Parameters
    ----------
    gf : ``GeometricFeatures``
        An object that knows how to download and read geometric featuers

    Returns
    -------
    fc : ``FeatureCollection``
        The new feature collection
    '''
    # Authors
    # -------
    # Xylar Asay-Davis

    MOCSubBasins = {
        'Atlantic': ['Atlantic', 'Mediterranean'],
        'IndoPacific': ['Pacific', 'Indian'],
        'Pacific': ['Pacific'],
        'Indian': ['Indian']
    }

    MOCSouthernBoundary = {
        'Atlantic': '34S',
        'IndoPacific': '34S',
        'Pacific': '6S',
        'Indian': '6S'
    }

    fc = FeatureCollection()
    fc.set_group_name(groupName='MOCBasinRegionsGroup')

    # build MOC basins from regions with the appropriate tags
    for basinName in MOCSubBasins:

        print('{} MOC'.format(basinName))

        print(' * merging features')
        tags = ['{}_Basin'.format(basin) for basin in MOCSubBasins[basinName]]

        fcBasin = gf.read(componentName='ocean',
                          objectType='region',
                          tags=tags,
                          allTags=False)

        print(' * combining features')
        fcBasin = fcBasin.combine(featureName='{}_MOC'.format(basinName))

        print(' * masking out features south of MOC region')
        maskName = 'MOC mask {}'.format(MOCSouthernBoundary[basinName])
        fcMask = gf.read(componentName='ocean',
                         objectType='region',
                         featureNames=[maskName])
        # mask out the region covered by the mask
        fcBasin = fcBasin.difference(fcMask)

        # remove various small polygons that are not part of the main MOC
        # basin shapes.  Most are tiny but one below Australia is about 20
        # deg^2, so make the threshold 100 deg^2 to be on the safe side.
        fcBasin = remove_small_polygons(fcBasin, minArea=100.)

        # add this basin to the full feature collection
        fc.merge(fcBasin)

    return fc