- Start by loading your omega and depth datasets into MATLAB. Ensure the data is correctly loaded and accessible.
- Specify the minimum and maximum depth values that you are interested in. This will be used to create a mask for filtering the depth dataset.
- Generate a logical mask for the depth dataset where values within the specified depth range are marked as true and others as false. This mask will help in identifying the regions of interest.
- Since the omega dataset has a different spatial resolution compared to the depth dataset, you need to interpolate omega to match the resolution of the depth dataset. This involves creating grids for both datasets and using interpolation functions to align omega with the depth data.
- Use the depth mask to filter the interpolated omega dataset. Set the omega values outside the specified depth range to NaN (Not a Number) to exclude them from the analysis.
- Finally, use MATLAB's mapping toolbox to plot the filtered omega data on a world map. Load coastline data for reference and use appropriate plotting functions to visualize the data. Add a colorbar and title for better interpretation of the results.
Cropping one dataset to another
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I have one dataset (omega) which has been cropped to a set omega range (362x332) which i want to be cropped to a certain depth range. However, my depth dataset is 86400x43200. This will then be plotted on a world map to show where the correct omega values are for the correct depth. How do i do this?
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Shubham
on 1 Aug 2024 at 16:04
Hi Sophie,
Here are the steps that you can follow to achieve the task:
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