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corrected_vel = pyart.correct.dealias_region_based(nc, interval_splits=3, vel_field='velocity', keep_original=False, nyquist_vel=nyq, centered = True) |
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Good evening @chenuanc .. I am sorry but in order to help we need a lot more information. Can you provide some plots? what is the nyquist? Is the nyquist set correctly? There is not enough information here. |
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Looks like NEXRAD to me! @rcjackson do we have an example. Even CMAC might help |
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-->I think this is now really getting into radar science. Suggest you take this to:https://openradar.discourse.group/ We are all there but you will find more eyes on the data there… Looks like Dual PRF outliers to me… See https://www.osti.gov/pages/biblio/1371614 From: JJC ***@***.***>Date: Tuesday, November 1, 2022 at 12:10 PMTo: ARM-DOE/pyart ***@***.***>Cc: Scott ***@***.***>, Comment ***@***.***>Subject: Re: [ARM-DOE/pyart] the doppler velocity dealiasing (Discussion #1309)After I changed the three parameters, I got better results, but near the gap, raising the skip_between_ray and skip_along_ray does not always have a positive effect. How can I accurately remove or change the value of those small areas?—Reply to this email directly, view it on GitHub, or unsubscribe.You are receiving this because you commented.Message ID: ***@***.***>
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It seems that the doppler velocity dealiasing of my radar data is not very good, especially at a distance. What should I do more?
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