opendrift.readers.interpolation

Submodules

Attributes

`logger`
`horizontal_interpolation_methods`
`vertical_interpolation_methods`

Classes

`Nearest2DInterpolator`
`NDImage2DInterpolator`
`LinearND2DInterpolator`
`Linear2DInterpolator`
`Nearest1DInterpolator`
`Linear1DInterpolator`
`ReaderBlock`	Class to store and interpolate the output from a reader with data on a regular (structured) grid.

Functions

`expand_numpy_array`(data)
`fill_NaN_towards_seafloor`(array)	Extrapolate NaN-values (missing) towards seafloor

Package Contents

opendrift.readers.interpolation.logger

opendrift.readers.interpolation.expand_numpy_array(data)[source]

class opendrift.readers.interpolation.Nearest2DInterpolator(xgrid, ygrid, x, y)[source]

x

y

xi

yi

__call__(array2d)[source]

class opendrift.readers.interpolation.NDImage2DInterpolator(xgrid, ygrid, x, y)[source]

x

y

xi

yi

__call__(array2d)[source]

class opendrift.readers.interpolation.LinearND2DInterpolator(xgrid, ygrid, x, y)[source]

logger

block_x

block_y

x

y

__call__(array2d)[source]

class opendrift.readers.interpolation.Linear2DInterpolator(xgrid, ygrid, x, y)[source]

logger

x

y

xi

yi

__call__(array2d)[source]

opendrift.readers.interpolation.horizontal_interpolation_methods

class opendrift.readers.interpolation.Nearest1DInterpolator(zgrid, z)[source]

zi

__call__(array2d)[source]

class opendrift.readers.interpolation.Linear1DInterpolator(zgrid, z)[source]

index_above

index_below

weight_above

xi

__call__(array2d)[source]

opendrift.readers.interpolation.vertical_interpolation_methods

opendrift.readers.interpolation.fill_NaN_towards_seafloor(array)[source]: Extrapolate NaN-values (missing) towards seafloor

class opendrift.readers.interpolation.ReaderBlock(data_dict, interpolation_horizontal='linearNDFast', interpolation_vertical='linear')[source]

Class to store and interpolate the output from a reader with data on a regular (structured) grid.

x

y

time

data_dict

_initialize_interpolator(x, y, z=None)[source]

interpolate(x, y, z=None, variables=None, profiles=[], profiles_depth=None)[source]

_interpolate_horizontal_layers(data, nearest=False)[source]: Interpolate all layers of 3d (or 2d) array.

covers_positions(x, y, z=None)[source]: Check if given positions are covered by this reader block.