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JOSS paper writing #72
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I could have just deleted |
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@ThomasHaine How should I cite LLC4320 dataset? |
I think the best option is Rocha et al., 2016. |
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paper/paper.md
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![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
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## Interpolation / regridding | ||
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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
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## Interpolation / regridding | ||
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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
for more information, see https://pre-commit.ci
for more information, see https://pre-commit.ci
Not sure if the github action works. let's see