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pyTMD: Python-based tidal prediction software

Authors: Sutterley, Tyler; Howard, Susan; Padman, Laurie; Siegfried, Matthew;

pyTMD: Python-based tidal prediction software

Abstract

Summary: This release adds a couple of fixes for issues found by both @andrew-longmore-tessella and @torbjoernt. In one issue, the variable parsing wasn't working as intended for FES-formatted files for tidal currents. In the other issue, the units were not being handled properly for some ascii-formatted models, which caused issues when trying to convert to default units (e.g. from cm to m). This release also adds some minor features, such as an improved representation of pyTMD.io.model objects when using Jupyter notebooks. Itemized Changes: refactor: make model io accessors sub of tmd accessor (#520) ci: change joss paper workflow to manual dispatch (#521) fix: do subaccessors properly with registration (#522) feat: add HTML representation for io.model using xarray (#523) fix: determining FES current variables for #524 (#523) fix: set units on constituent variables in a loop for #526 (#523) fix: some GOT-formatted models have units on the second line of header (#523) Full Changelog: https://github.com/pyTMD/pyTMD/compare/3.0.2...3.0.3

Keywords

Solid Earth Tides, Tidal Prediction, Pole Tides, Ocean Tides, Load Tides

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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