tappy 0.10.2

Command line script and Python library perform tidally-based analysis of water level data.

TAPPY is a tidal analysis package. It breaks down a record of water levels into the component sine waves. It is written in Python and uses the least squares optimization and other functions in SciPy. The focus is to make the most accurate analysis possible. TAPPY only determines the constituents that are calculable according to the length of the time series.

Features

• Outputs a ‘International Hydrographic Organization - Tidal and Water Level Working Group’ standard XML constituent file.

• Uses the IHO standard XML constituent file to make a predicted time series. By far the most frequent request that I get.

• Calculates the node factor at each water elevation measurement. Very important for long time-series (greater than a year).

• Very accurate ephemeris calculations thanks to the Astrolabe library.

• Able to read in different input data sets without changing TAPPY or the input data set. All you have to do is create a file that defines the input data set. Thanks to Pyparsing.

• Added the capability to read compressed files and Internet data streams (actually any URL) directly into TAPPY by using filelike.

• The time-series does not need to have equal intervals. In fact any length of missing data is allowed (though too much missing will cause a poor analysis).

• Can adjust the Rayleigh factor that nearby constituents are compared against to determine what constituents can be differentiated.

• TAPPY chooses the main constituents based upon the length of the time series and infers additional constituents that are known to be specifically related to the main constituents.

• Can filter the tidal energy out of the input signal using transform (FFT), usgs (PL33), doodson, and boxcar methods. | [CompareTidalFilters]

• Can use the tidal filters to zero the time-series before determination of tidal constituents.

• Can pad the usgs, doodson, and boxcar filters with predicted data to minimize edge effects of the filters.

• Convenience function to fill missing values with the predicted time series

Requirements

Python version 3.7.1 or later

SciPy

Install

# To install...
pip install tappy

TAPPY Citations

Akmal, P. N. E., (2013). Determination of the Permeability of the South Chamorro Seamount in Mariana Forearc Crust Using Pressure Response to Tidal Loading Method. University of Miami. https://scholarship.miami.edu/esploro/outputs/991031448068902976

Barbosa, S. M., (2009). Analysis of trends in North Atlantic tidal amplitudes University of Porto, Portugal ([e-mail]) http://meetingorganizer.copernicus.org/EGU2009/EGU2009-5154.pdf

Bechet, V., Verstraeten, E., Hanert, E. & Deleersnijder, E., (2018). Multiple-year marine connectivity modeling in the Florida Coral Reef Tract to assess Acropora Cervicornis recovery. (Unpublished master’s thesis). Ecole polytechnique de Louvain, Université catholique de Louvain.

Becker, K., Davis, E. E., & Villinger, H. (2022). Long‐Term Observations of Subseafloor Temperatures and Pressures in a Low‐Temperature, Off‐Axis Hydrothermal System in North Pond on the Western Flank of the Mid‐Atlantic Ridge. Geochemistry, Geophysics, Geosystems, 23(9). Portico. https://doi.org/10.1029/2022gc010496

Billings, W. Z., (2018). An Exploration of the Two-Dimensional Poroelastic Properties of Oceanic Crust at the Formation Scale. University of Miami ProQuest Dissertations Publishing,  10846298.

Campos, E. J. D., Kjerfve, B., Cavalcante, G., Vieira, F., & Abouleish, M. (2022). Water exchange across the Strait of Hormuz. Effects of tides and rivers runoff. Regional Studies in Marine Science, 52, 102336. https://doi.org/10.1016/j.rsma.2022.102336

Cucco, A., Martín, J., Quattrocchi, G., Fenco, H., Umgiesser, G., & Fernández, D. A. (2022). Water Circulation and Transport Time Scales in the Beagle Channel, Southernmost Tip of South America. Journal of Marine Science and Engineering, 10(7), 941. https://doi.org/10.3390/jmse10070941

Desmet, N., (2019). Modelling coral larvae exchanges between the Great Barrier Reef and outer reefs. Ecole polytechnique de Louvain, Université catholique de Louvain. Prom. : Hanert, Emmanuel ; Deleersnijder, Eric. http://hdl.handle.net/2078.1/thesis:19591

Ferrarin, C., Roland, A., Bajo, M., Umgiesser, G., Cucco, A., Davolio, S., Buzzi, A., Malguzzi, P., & Drofa, O. (2013). Tide-surge-wave modelling and forecasting in the Mediterranean Sea with focus on the Italian coast. Ocean Modelling, 61, 38–48. https://doi.org/10.1016/j.ocemod.2012.10.003

Ferrarin, C., Zaggia, L., Paschini, E., Scirocco, T., Lorenzetti, G., Bajo, M., Penna, P., Francavilla, M., D’Adamo, R., & Guerzoni, S. (2013). Hydrological Regime and Renewal Capacity of the Micro-tidal Lesina Lagoon, Italy. Estuaries and Coasts, 37(1), 79–93. https://doi.org/10.1007/s12237-013-9660-x

Ferrarin, C., Tomasin, A., Bajo, M., Petrizzo, A., & Umgiesser, G. (2015). Tidal changes in a heavily modified coastal wetland. Continental Shelf Research, 101, 22–33. https://doi.org/10.1016/j.csr.2015.04.002

Gaeta, M. G., Samaras, A. G., Federico, I., Archetti, R., Maicu, F., & Lorenzetti, G. (2016). A coupled wave–3-D hydrodynamics model of the Taranto Sea (Italy): a multiple-nesting approach. Natural Hazards and Earth System Sciences, 16(9), 2071–2083. https://doi.org/10.5194/nhess-16-2071-2016

Lavaud, L., Bertin, X., Martins, K., & Arnaud, G. (2019). The contribution of short wave breaking in the storm surge associated with Klaus (January 24, 2009) in the Southern Bay of Biscay. Coastal Sediments 2019. https://doi.org/10.1142/9789811204487_0123

Neves, L. J. P. F., Barbosa, S. M., & Pereira, A. J. S. C. (2009). Indoor radon periodicities and their physical constraints: a study in the Coimbra region (Central Portugal). Journal of Environmental Radioactivity, 100(10), 896–904. https://doi.org/10.1016/j.jenvrad.2009.06.017

Pérez-Ruzafa, A., De Pascalis, F., Ghezzo, M., Quispe-Becerra, J. I., Hernández-García, R., Muñoz, I., Vergara, C., Pérez-Ruzafa, I. M., Umgiesser, G., & Marcos, C. (2019). Connectivity between coastal lagoons and sea: Asymmetrical effects on assemblages’ and populations’ structure. Estuarine, Coastal and Shelf Science, 216, 171–186. https://doi.org/10.1016/j.ecss.2018.02.031

Vergara-Chen, C., Pérez-Ruzafa, A., De Pascalis, F., Ghezzo, M., Quispe-Becerra, J. I., Hernández-García, R., Muñoz, I., Pérez-Ruzafa, I. M., Umgiesserb, G. and Marcos, C., (2018). Connectivity between coastal lagoons and sea: Asymmetrical effects on assemblages’ and populations’ structure. https://ridda2.utp.ac.pa/handle/123456789/4432

Vinas, K. A., (2013). Mariana forearc crust CORK pressure data: observations and implications. University of Miami. https://scholarship.miami.edu/esploro/outputs/991031448074702976

Žust, L., Fettich, A., Kristan, M., & Ličer, M. (2021). HIDRA 1.0: deep-learning-based ensemble sea level forecasting in the northern Adriatic. Geoscientific Model Development, 14(4), 2057–2074. https://doi.org/10.5194/gmd-14-2057-2021

Please forward any citation of TAPPY to tim at cerazone.net.

Contributions

Any help is appreciated. Best would be a pull request on Github or Bitbucket or if you would like to make a bunch of changes I can assign you developer privileges to the source code repository. Just contact me at tim at cerazone.net.