London model data used in : Spatial variability of forward modelled attenuated backscatter in clear-sky conditions over a megacity: Implications for observation network design

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Authors: Elliott L. Warren, Humphrey W. Lean, Cristina Charlton‐Perez, Sue Grimmond, Simone Kotthuas
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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 London Model data 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.

Fields of Study & Subjects

Remote Sensing and LiDAR Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 June 2026
Language
EN
Document type
Dataset