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City-descriptive input data for urban climate models: Model requirements, data sources and challenges

Masson, V. and Heldens, Wieke and Bocher, Erwan and Bonhomme, Marion and Burmeister, Cornelia and de Munck, Cecile and Esch, Thomas and Hidalgo, Julia and Kanani-Sühring, Farah and Kwok, Yu-Ting and Lemonsu, A. and Levy, Jean-Pierre and Maronga, Björn and Pavlik, Dirk and Petit, Gwendall and See, Linda and Schoetter, Robert and Tornay, Nathalie and Votsis, Athanasios and Zeidler, Julian (2019) City-descriptive input data for urban climate models: Model requirements, data sources and challenges. Urban Climate, 31, pp. 1-28. Elsevier. DOI: 10.1016/j.uclim.2019.100536 ISSN 2212-0955

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Official URL: http://www.sciencedirect.com/science/article/pii/S2212095518303663

Abstract

Cities are particularly vulnerable to meteorological hazards because of the concentration of population, goods, capital stock and infrastructure. Urban climate services require multi-disciplinary and multi-sectorial approaches and new paradigms in urban climate modelling. This paper classifies the required urban input data for both mesoscale state-of-the-art Urban Canopy Models (UCMs) and microscale Obstacle Resolving Models (ORM) into five categories and reviews the ways in which they can be obtained. The first two categories are (1) land cover, and (2) building morphology. These govern the main interactions between the city and the urban climate and the Urban Heat Island. Interdependence between morphological parameters and UCM geometric hypotheses are discussed. Building height, plan and wall area densities are recommended as the main input variables for UCMs, whereas ORMs require 3D building data. Recently, three other categories of urban data became relevant for finer urban studies and adaptation to climate change: (3) building design and architecture, (4) building use, anthropogenic heat and socio-economic data, and (5) urban vegetation data. Several methods for acquiring spatial information are reviewed, including remote sensing, geographic information system (GIS) processing from administrative cadasters, expert knowledge and crowdsourcing. Data availability, data harmonization, costs/efficiency trade-offs and future challenges are then discussed.

Item URL in elib:https://elib.dlr.de/130915/
Document Type:Article
Additional Information:© 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license
Title:City-descriptive input data for urban climate models: Model requirements, data sources and challenges
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Masson, V.Météo-France, Toulouse, FUNSPECIFIED
Heldens, WiekeWieke.Heldens (at) dlr.dehttps://orcid.org/0000-0001-6209-5664
Bocher, ErwanCNRS, Lab-STICC, Vannes, FranceUNSPECIFIED
Bonhomme, MarionResearch Laboratory in Architecture, Toulouse, FranceUNSPECIFIED
Burmeister, CorneliaGEO-NET Umweltconsulting GmbH, Dresden, GermanyUNSPECIFIED
de Munck, CecileCNRM, University of Toulouse, Météo-France, CNRS, Toulouse, FranceUNSPECIFIED
Esch, ThomasThomas.Esch (at) dlr.deUNSPECIFIED
Hidalgo, JuliaNational Center of Scientific Research (CNRS), LISST laboratory, Toulouse, FranceUNSPECIFIED
Kanani-Sühring, FarahInstitute of Meteorology and Climatology, Leibniz Universität HannoverUNSPECIFIED
Kwok, Yu-TingChinese University of Hong-Kong, Hong-Kong, ChinaUNSPECIFIED
Lemonsu, A.Météo-France, Toulouse, FUNSPECIFIED
Levy, Jean-PierreLATTS, Paris, FranceUNSPECIFIED
Maronga, Björnmaronga (at) muk.uni-hannover.deUNSPECIFIED
Pavlik, Dirkpavlik (at) geo-net.deUNSPECIFIED
Petit, GwendallCNRS, Lab-STICC, Vannes, FranceUNSPECIFIED
See, LindaIIASAUNSPECIFIED
Schoetter, RobertCNRM, University of Toulouse, Météo-France, CNRS, Toulouse, FranceUNSPECIFIED
Tornay, NathalieResearch Laboratory in Architecture, Toulouse, FranceUNSPECIFIED
Votsis, AthanasiosFinnish Meteorological Institute, FinlandUNSPECIFIED
Zeidler, JulianJulian.Zeidler (at) dlr.dehttps://orcid.org/0000-0001-9444-2296
Date:19 November 2019
Journal or Publication Title:Urban Climate
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:31
DOI :10.1016/j.uclim.2019.100536
Page Range:pp. 1-28
Publisher:Elsevier
ISSN:2212-0955
Status:Published
Keywords:urban climate, model requirements
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Heldens, Dr Wieke
Deposited On:26 Nov 2019 12:31
Last Modified:11 Mar 2020 13:08

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