Python re-implementation of the Matlab package UTide.
Still in heavy development--everything is subject to change!
Fork development version : Small adaptations to 1D solver (OLS only), reconstruction routine and Bunch objects to support 2D inputs in a vectorized approach. The objective is to make the changes transparents for the user, in order to keep an identical usage and syntax with the original library using 1D or 2D inputs. The development is motivated by the need to process tide from 2D model outputs, SWOT observations or other groups of timeseries in a efficient way, while keeping profit of the versatile approach and optimisations implemented in the UTide library.
Contact : Y.T. Tranchant, yanntreden.tranchant@utas.edu.au
Note: the user interface differs from the Matlab version, so consult the Python function docstrings to see how to specify parameters. Some functionality from the Matlab version is not yet available. For more information see:
Codiga, D.L., 2011. Unified Tidal Analysis and Prediction Using the
UTide Matlab Functions. Technical Report 2011-01. Graduate School
of Oceanography, University of Rhode Island, Narragansett, RI.
59pp.
ftp://www.po.gso.uri.edu/pub/downloads/codiga/pubs/2011Codiga-UTide-Report.pdf
UTide v1p0 9/2011 d.codiga@gso.uri.edu
http://www.po.gso.uri.edu/~codiga/utide/utide.htm
pip install -e git+git://github.com/treden/UTide.git@master#egg=utideIf you are using conda (not yet),
conda install utide --channel conda-forgeThe public functions can be imported using
from utide import solve, reconstructA sample call would be
from utide import solve
coef = solve(
time,
time_series_u,
time_series_v,
lat=30,
nodal=False,
trend=False,
method="ols",
conf_int="linear",
Rayleigh_min=0.95,
)For more examples see the notebooks folder.