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ZENODO
Dataset . 2021
Data sources: ZENODO
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2021
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2021
Data sources: Datacite
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PCA - Analysis for spatial variability of forward modelled attenuated backscatter in clear-sky conditions over a megacity: Implications for observation network design

Authors: Warren, Elliott; Charlton-Perez, Cristina; Grimmond, Sue; Kotthaus, Simone; Lean. Humphrey;

PCA - Analysis for spatial variability of forward modelled attenuated backscatter in clear-sky conditions over a megacity: Implications for observation network design

Abstract

Spatial variability of forward modelled attenuated backscatter in clear-sky conditions over a megacity: Implications for observation network design ( paper in review May 2021) Elliott Warren1,2, Cristina Charlton-Perez3, Humphrey Lean3, Simone Kotthaus4, Sue Grimmond1* 1 Department of Meteorology, University of Reading, UK 2 Met Office, Exeter, UK 3 Met Office@Reading, UK 4 Institut Pierre Simon Laplace (IPSL), CNRS, École Polytechnique, Institut Polytechnique de Paris, 91128 Palaiseau Cedex, France *Corresponding authors: elliott.warren@metoffice.gov.uk, c.s.grimmond@reading.ac.uk PCA analysis The following are related datasets and code: (1) ceilometer: 10.5281/zenodo.4723564 (2) UKV: 10.5281/zenodo.4723576 (3) London Model: 10.5281/zenodo.4723582 4) Principal Component Analysis results: 10.5281/zenodo.4723806 Python code used in analysis available at: https://github.com/elliottwarren/improveNetworks. 

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Keywords

Ceilometer, Urban, London, UK

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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.
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influence
This indicator 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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