Comments (6)
Several things come to me, you need to apply a large scale filter to remove large scale structure like in this example.
Input grid have which resolution?
from py-eddy-tracker.
Thanks for your response and suggestion. I have tried different scale filters with 400, 700 and 1000km. The results with 1000km seems better than without filter, but most eddies detected in small region still can not be detected. And warning 'No extrema found in contour of xxx pixels in level xxx) still existed. Could you briefly explain why this warning happen? Is this because sla contour of my data so complicated that the algorithm can not find closed contour?
The input grid I used is 0.03°. How should high-pass filter value be determined, and could you provide a recommendation for my case?
Thanks a lot!
from py-eddy-tracker.
My first guess.
Contour detection algorithm could be high sensitive to high frequency data or noise. You could try to apply a low pass filter to smoth/simplify a little bit.
from py-eddy-tracker.
Thanks for your suggestion. I've tried several filters but still can't get satisfied results. I then divide the domain to several pieces and do the detection then concatenate them. The results seem OK now. Maybe the reason is the data quality, I will check the data later. Thanks for your help!
from py-eddy-tracker.
If you divide domain, result are different? i don't like this algotrithm behaviour., There is something to dig.
from py-eddy-tracker.
Yes. I test without any filter. Results vary significantly depending on the region dividing.
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Related Issues (20)
- Request for help HOT 3
- Bug with matplotlib 3.8
- py_eddy_tracker.dataset.grid issue HOT 6
- pixel position of grid HOT 4
- Lifetime average HOT 3
- The function in the library tried to use Numba to speed up the computation, but received an array of type numpy.ma.MaskedArray that is not supported by Numba. HOT 2
- error about eddy_identification function HOT 2
- Eddies detected on land HOT 6
- Eddy kinetic energy of different types of eddies and its calculation HOT 1
- about from py_eddy_tracker.dataset.grid import RegularGridDataset HOT 1
- Eddy detection issue HOT 3
- batch identification of eddies over multiple days from a single netCDF file HOT 14
- Issue reading NEMO UnRegularGrid HOT 2
- grid_count and grid_stat error HOT 2
- The boundary cannot be closed normally, and the longitude and latitude of some points are wrong。 HOT 6
- How to store the eddy tracking results HOT 4
- Data is Empty
- Data is Empty HOT 1
- Cartopy projection HOT 1
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