Diffusion-Based Smoothers for Spatial Filtering of Gridded Geophysical Data

Grooms, I.; Loose, N.; Abernathey, R.; Steinberg, J. M.; Bachman, S. D.; Marques, G.; Guillaumin, A. P.; Yankovsky, E.

doi:10.1029/2021MS002552

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Diffusion-Based Smoothers for Spatial Filtering of Gridded Geophysical Data

2021
By Grooms, I. ; Loose, N. ; Abernathey, R. ; ...
Source: Journal of Advances in Modeling Earth Systems, 13(9)

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Journal Title:

Journal of Advances in Modeling Earth Systems
Personal Author:

Grooms, I. ; Loose, N. ; Abernathey, R. ; Steinberg, J. M. ; Bachman, S. D. ; ... More +

Grooms, I. ; Loose, N. ; Abernathey, R. ; Steinberg, J. M. ; Bachman, S. D. ; Marques, G. ; Guillaumin, A. P. ; Yankovsky, E. Less -
NOAA Program & Office:

CPO (Climate Program Office) ; OAR (Oceanic and Atmospheric Research)

CPO (Climate Program Office) ; OAR (Oceanic and Atmospheric Research) Less -
Description:

We describe a new way to apply a spatial filter to gridded data from models or observations, focusing on low-pass filters. The new method is analogous to smoothing via diffusion, and its implementation requires only a discrete Laplacian operator appropriate to the data. The new method can approximate arbitrary filter shapes, including Gaussian filters, and can be extended to spatially varying and anisotropic filters. The new diffusion-based smoother's properties are illustrated with examples from ocean model data and ocean observational products. An open-source Python package implementing this algorithm, called gcm-filters, is currently under development.
Keywords:

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Climate Coarse Graining Data Analysis Eddy Fluxes Equations Mesoscale Eddies Ocean Resolution Spatial Filtering
Source:

Journal of Advances in Modeling Earth Systems, 13(9)
DOI:

https://doi.org/10.1029/2021MS002552
Document Type:

Journal Article
Funding:

Grant no. NA19OAR4310364
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CC BY-NC-ND
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Submitted
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urn:sha256:fb542c0701106f1d0792254ee6d8b565802aaf6c9eb70a3c685fcd2dd9e18f88
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https://repository.library.noaa.gov/view/noaa/32957/noaa_32957_DS1.pdf
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Diffusion-Based Smoothers for Spatial Filtering of Gridded Geophysical Data

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