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PyMPDATA

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 12 Feb 2023Publisher:Zenodo
Authors: Arabas, Sylwester; Banaśkiewicz, Jakub; Bartman, Piotr; Derlatka, Kacper; Drenda, Szymon; Manna, Maciej; Olesik, Michael; +3 Authors

doi: 10.5281/zenodo.10256594 , 10.5281/zenodo.10964812 , 10.5281/zenodo.8077626 , 10.5281/zenodo.8286068 , 10.5281/zenodo.8171517 , 10.5281/zenodo.7864655 , 10.5281/zenodo.7670941 , 10.5281/zenodo.7633199 , 10.5281/zenodo.7762418 , 10.5281/zenodo.10472259

Abstract

Numba-accelerated Pythonic implementation of MPDATA with examples in Python, Julia and Matlab

Related Organizations
Keywords

atmospheric physics, advection-diffusion, MPDATA, numerical solver

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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