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JOSS paper writing #72

Merged
merged 20 commits into from
Jul 29, 2023
Merged

JOSS paper writing #72

merged 20 commits into from
Jul 29, 2023

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MaceKuailv
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Not sure if the github action works. let's see

@MaceKuailv MaceKuailv temporarily deployed to pypi July 25, 2023 19:12 — with GitHub Actions Inactive
@MaceKuailv MaceKuailv temporarily deployed to pypi July 25, 2023 19:15 — with GitHub Actions Inactive
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codecov bot commented Jul 25, 2023

Codecov Report

Patch and project coverage have no change.

Comparison is base (0878cc2) 94.92% compared to head (c27c5ea) 94.92%.
Report is 12 commits behind head on main.

Additional details and impacted files
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##             main      #72   +/-   ##
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  Coverage   94.92%   94.92%           
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  Lines        2660     2660           
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  Hits         2525     2525           
  Misses         49       49           
  Partials       86       86           

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@MaceKuailv MaceKuailv temporarily deployed to pypi July 25, 2023 19:28 — with GitHub Actions Inactive
@MaceKuailv MaceKuailv temporarily deployed to pypi July 25, 2023 20:11 — with GitHub Actions Inactive
@MaceKuailv MaceKuailv temporarily deployed to pypi July 25, 2023 20:13 — with GitHub Actions Inactive
@MaceKuailv
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I could have just deleted equal-contrib: true, but instead I write equal-contrib: false. That's the thing they didn't like.

@MaceKuailv MaceKuailv temporarily deployed to pypi July 26, 2023 00:59 — with GitHub Actions Inactive
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@ThomasHaine How should I cite LLC4320 dataset?

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I think the best option is Rocha et al., 2016.

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paper/paper.md Outdated

![Fig.1 (a) Scatterplot with colors showing the sea surface height value near Kangerdlugssuaq Fjord defined in the model and interpolated by seaduck.\label{fig:onlyone}. (b) Streaklines of particle advected by stationary 2D slice of the LLC4320 simulation, colors denotes the current speed.](fig1.png)
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Split the two panels into two separate figures so they're larger and easier to read.

paper/paper.md Outdated

## Interpolation / regridding

In this subsection, we are going to explore the interpolation/regridding functionality of the package. As an example, we used a realistic simulation of the Kangerdlugssuaq Fjord [@Fraser2018] as an example. This is an MITgcm simulation with very uneven grid spacings, i.e. grids close or in the fjord is much more densely placed than the rest. For the interpolation on sea surface height field, we use all the center grid points of the datasets as well as another 60,000 points in a rectangular region where the model grid points are sparsely places (between 66.5N to 67N, between 28.5W to 34.5 W, 600 in longitudinal direction and 100 in latitudinal direction). As shown in Fig. 1a. The interpolated field matches the background field very well, even when the interpolation is happening close to land ocean interface.
As an example of seaduck's interpolation/regridding functionality, consider a realistic simulation of the Kangerdlugssuaq Fjord, which is in east Greenland [@Fraser2018]. This is an MITgcm simulation with uneven grid spacing such that grid cells within the fjord are much more densely packed than elsewhere. The goal is to interpolate, and hence regrid, the sea surface height field, $\eta$, to a uniform grid spacing in the southern part of the domain. As shown in Fig. 1a, the interpolated field matches the background field very well, even for points close to land.
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Clarify what you mean by "matches the background field very well" (?)

paper/paper.md Outdated

## Interpolation / regridding

In this subsection, we are going to explore the interpolation/regridding functionality of the package. As an example, we used a realistic simulation of the Kangerdlugssuaq Fjord [@Fraser2018] as an example. This is an MITgcm simulation with very uneven grid spacings, i.e. grids close or in the fjord is much more densely placed than the rest. For the interpolation on sea surface height field, we use all the center grid points of the datasets as well as another 60,000 points in a rectangular region where the model grid points are sparsely places (between 66.5N to 67N, between 28.5W to 34.5 W, 600 in longitudinal direction and 100 in latitudinal direction). As shown in Fig. 1a. The interpolated field matches the background field very well, even when the interpolation is happening close to land ocean interface.
As an example of seaduck's interpolation/regridding functionality, consider a realistic simulation of the Kangerdlugssuaq Fjord, which is in east Greenland [@Fraser2018]. This is an MITgcm simulation with uneven grid spacing such that grid cells within the fjord are much more densely packed than elsewhere. The goal is to interpolate, and hence regrid, the sea surface height field, $\eta$, to a uniform grid spacing in the southern part of the domain. As shown in Fig. 1a, the interpolated field matches the background field very well, even for points close to land.
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Cite for "MITgcm"

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Some comments on the text

@MaceKuailv MaceKuailv temporarily deployed to pypi July 29, 2023 17:56 — with GitHub Actions Inactive
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@MaceKuailv MaceKuailv merged commit 49e3ad3 into main Jul 29, 2023
@MaceKuailv MaceKuailv deleted the paper branch August 2, 2023 14:14
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