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W2W: A Python package that injects WUDAPT's Local Climate Zone information in WRF

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 23 Aug 2022 English Publisher:Zenodo
Authors: Demuzere, Matthias; Argüeso, Daniel; Zonato, Andrea; Kittner, Jonas;

doi: 10.5281/zenodo.7016606 , 10.5281/zenodo.7016607

W2W: A Python package that injects WUDAPT's Local Climate Zone information in WRF

Abstract

The Python-based WUDAPT-to-WRF (W2W) package is developed to translate Local Climate Zone (LCZ) maps into urban canopy parameters readable by WRF, the community "Weather Research and Forecasting" model.

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Keywords

WUDAPT, WRF, Urban canopy parameters, LCZ

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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).
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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.
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