Seaduck: A python package for Eulerian and Lagrangianinterpolation on ocean datasets Article Swipe
Wenrui Jiang
,
Thomas W. N. Haine
,
Mattia Almansi
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.21105/joss.05967
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.21105/joss.05967
Numerical simulations of the Earth's oceans are becoming more realistic and sophisticated.Their complex layout and sheer volume make it difficult for researchers to access and understand these data, however.Additionally, most ocean models, mostly finite-volume models, compute and calculate spatially-integrated properties, such as grid-cell averaged temperature or wallintegrated mass flux.On the other hand, in-situ oceanographic observations are effectively collected at points in space and time.This fundamental difference makes the comparison between observations and results from numerical simulation difficult.In this work, we present seaduck, a Python package that can perform both Eulerian interpolation and Lagrangian particle simulation on generic ocean datasets with good performance and scalability.This package accesses numerical datasets from the perspective of space-time points.It automatically navigates complex dataset layouts (grid topologies) and transforms discrete information into continuous fields.The values and derivatives of those fields can be accessed at any point in the 3+1 dimensional space-time domain defined by the user.For example, users can compute oceanographic properties as Eulerian timeseries (at fixed points in space), like from moored oceanographic current meters, or as Lagrangian timeseries (drifting with the current), like from oceanographic floats
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.21105/joss.05967
- https://joss.theoj.org/papers/10.21105/joss.05967.pdf
- OA Status
- diamond
- Cited By
- 3
- References
- 12
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389933376
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https://openalex.org/W4389933376Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.21105/joss.05967Digital Object Identifier
- Title
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Seaduck: A python package for Eulerian and Lagrangianinterpolation on ocean datasetsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-12-19Full publication date if available
- Authors
-
Wenrui Jiang, Thomas W. N. Haine, Mattia AlmansiList of authors in order
- Landing page
-
https://doi.org/10.21105/joss.05967Publisher landing page
- PDF URL
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https://joss.theoj.org/papers/10.21105/joss.05967.pdfDirect link to full text PDF
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
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https://joss.theoj.org/papers/10.21105/joss.05967.pdfDirect OA link when available
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Python (programming language), Eulerian path, Interpolation (computer graphics), Scalability, Grid, Computer science, Computational science, Algorithm, Lagrangian, Applied mathematics, Computer graphics (images), Mathematics, Geometry, Database, Operating system, AnimationTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
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2025: 3Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.models, | 31, 34 |
| abstract_inverted_index.package | 84, 104 |
| abstract_inverted_index.perform | 87 |
| abstract_inverted_index.present | 80 |
| abstract_inverted_index.results | 72 |
| abstract_inverted_index.space), | 163 |
| abstract_inverted_index.Eulerian | 89, 157 |
| abstract_inverted_index.accessed | 136 |
| abstract_inverted_index.accesses | 105 |
| abstract_inverted_index.averaged | 43 |
| abstract_inverted_index.becoming | 7 |
| abstract_inverted_index.datasets | 98, 107 |
| abstract_inverted_index.discrete | 123 |
| abstract_inverted_index.example, | 150 |
| abstract_inverted_index.particle | 93 |
| abstract_inverted_index.seaduck, | 81 |
| abstract_inverted_index.user.For | 149 |
| abstract_inverted_index.(drifting | 174 |
| abstract_inverted_index.Numerical | 0 |
| abstract_inverted_index.calculate | 37 |
| abstract_inverted_index.collected | 57 |
| abstract_inverted_index.current), | 177 |
| abstract_inverted_index.difficult | 19 |
| abstract_inverted_index.grid-cell | 42 |
| abstract_inverted_index.navigates | 115 |
| abstract_inverted_index.numerical | 74, 106 |
| abstract_inverted_index.points.It | 113 |
| abstract_inverted_index.realistic | 9 |
| abstract_inverted_index.time.This | 63 |
| abstract_inverted_index.Lagrangian | 92, 172 |
| abstract_inverted_index.comparison | 68 |
| abstract_inverted_index.continuous | 126 |
| abstract_inverted_index.difference | 65 |
| abstract_inverted_index.fields.The | 127 |
| abstract_inverted_index.properties | 155 |
| abstract_inverted_index.simulation | 75, 94 |
| abstract_inverted_index.space-time | 112, 144 |
| abstract_inverted_index.timeseries | 158, 173 |
| abstract_inverted_index.transforms | 122 |
| abstract_inverted_index.understand | 25 |
| abstract_inverted_index.derivatives | 130 |
| abstract_inverted_index.dimensional | 143 |
| abstract_inverted_index.effectively | 56 |
| abstract_inverted_index.fundamental | 64 |
| abstract_inverted_index.information | 124 |
| abstract_inverted_index.performance | 101 |
| abstract_inverted_index.perspective | 110 |
| abstract_inverted_index.properties, | 39 |
| abstract_inverted_index.researchers | 21 |
| abstract_inverted_index.simulations | 1 |
| abstract_inverted_index.temperature | 44 |
| abstract_inverted_index.topologies) | 120 |
| abstract_inverted_index.difficult.In | 76 |
| abstract_inverted_index.observations | 54, 70 |
| abstract_inverted_index.automatically | 114 |
| abstract_inverted_index.finite-volume | 33 |
| abstract_inverted_index.interpolation | 90 |
| abstract_inverted_index.oceanographic | 53, 154, 167, 180 |
| abstract_inverted_index.wallintegrated | 46 |
| abstract_inverted_index.scalability.This | 103 |
| abstract_inverted_index.sophisticated.Their | 11 |
| abstract_inverted_index.spatially-integrated | 38 |
| abstract_inverted_index.however.Additionally, | 28 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 96 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/14 |
| sustainable_development_goals[0].score | 0.800000011920929 |
| sustainable_development_goals[0].display_name | Life below water |
| citation_normalized_percentile.value | 0.77037636 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |