Loading…

High-resolution urban climate simulations for heat and health applications in Philadelphia

Stakeholders need high-resolution urban climate information for city planning and adaptation to climate risks. Climate models have too coarse a spatial resolution to properly represent cities at the relevant scale, and downscaled products often fail to account for urban effects. We propose here a me...

Full description

Saved in:
Bibliographic Details
Published in:Urban climate 2024-09, Vol.57, p.102114, Article 102114
Main Authors: Le Roy, Benjamin, Dixon, Keith W., Adams-Smith, Dennis
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c183t-398df650bf92495fa050583450cd281b323dbe3e6a88c6f3dbec29531256a8cf3
container_end_page
container_issue
container_start_page 102114
container_title Urban climate
container_volume 57
creator Le Roy, Benjamin
Dixon, Keith W.
Adams-Smith, Dennis
description Stakeholders need high-resolution urban climate information for city planning and adaptation to climate risks. Climate models have too coarse a spatial resolution to properly represent cities at the relevant scale, and downscaled products often fail to account for urban effects. We propose here a methodological framework for producing high-resolution urban databases that are used to drive the SURFEX-TEB land surface and urban canopy models. A historical simulation is carried out over the period 1991–2020, based on a reanalysis of the city of Philadelphia (Pennsylvania, USA). The simulation is compared with observations outside and inside the city, as well as with a field campaign. The results show good agreement between the model and observations, with average summer biases of only −1 °C and + 0.8 °C for daily minimum and maximum temperatures outside the city, and almost none inside. The simulation is used to calculate the maximum daily heat index (HIX) and to study emergency heat alerts. The HIX is slightly overestimated and, consequently, the model simulates too many heat events if not bias corrected. Overall, HIX conditions at Philadelphia International Airport are found to be suitable proxies for city-wide summer conditions, and therefore are appropriate to use for emergency heat declarations.
doi_str_mv 10.1016/j.uclim.2024.102114
format article
fullrecord <record><control><sourceid>elsevier_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1016_j_uclim_2024_102114</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S2212095524003110</els_id><sourcerecordid>S2212095524003110</sourcerecordid><originalsourceid>FETCH-LOGICAL-c183t-398df650bf92495fa050583450cd281b323dbe3e6a88c6f3dbec29531256a8cf3</originalsourceid><addsrcrecordid>eNp9UEFOwzAQtBBIVKUv4OIPpNjrOEoOHFAFFKkSHODCxXLsNXHlJpGdIPF7EtoDp552dnZnNBpCbjlbc8aLu_16NMEf1sAgnxjgPL8gCwAOGaukvPyHr8kqpT1jDBiHquAL8rn1X00WMXVhHHzX0jHWuqWzoR6QJn8Yg54Pibou0gb1QHVrZxCGhuq-D96cHnxL3xoftMXQN17fkCunQ8LVaS7Jx9Pj-2ab7V6fXzYPu8zwUgyZqErrCslqV0FeSaeZZLIUuWTGQslrAcLWKLDQZWkKNy8GKik4yIkyTiyJOPqa2KUU0ak-Tunjj-JMzQ2pvfprSM0NqWNDk-r-qMIp2rfHqJLx2Bq0PqIZlO38Wf0vw_pw8g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>High-resolution urban climate simulations for heat and health applications in Philadelphia</title><source>ScienceDirect Freedom Collection 2022-2024</source><creator>Le Roy, Benjamin ; Dixon, Keith W. ; Adams-Smith, Dennis</creator><creatorcontrib>Le Roy, Benjamin ; Dixon, Keith W. ; Adams-Smith, Dennis</creatorcontrib><description>Stakeholders need high-resolution urban climate information for city planning and adaptation to climate risks. Climate models have too coarse a spatial resolution to properly represent cities at the relevant scale, and downscaled products often fail to account for urban effects. We propose here a methodological framework for producing high-resolution urban databases that are used to drive the SURFEX-TEB land surface and urban canopy models. A historical simulation is carried out over the period 1991–2020, based on a reanalysis of the city of Philadelphia (Pennsylvania, USA). The simulation is compared with observations outside and inside the city, as well as with a field campaign. The results show good agreement between the model and observations, with average summer biases of only −1 °C and + 0.8 °C for daily minimum and maximum temperatures outside the city, and almost none inside. The simulation is used to calculate the maximum daily heat index (HIX) and to study emergency heat alerts. The HIX is slightly overestimated and, consequently, the model simulates too many heat events if not bias corrected. Overall, HIX conditions at Philadelphia International Airport are found to be suitable proxies for city-wide summer conditions, and therefore are appropriate to use for emergency heat declarations.</description><identifier>ISSN: 2212-0955</identifier><identifier>EISSN: 2212-0955</identifier><identifier>DOI: 10.1016/j.uclim.2024.102114</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Evaluation ; Heat Stress ; SURFEX ; TEB ; Urban Climate Modeling ; Urban Heat Island</subject><ispartof>Urban climate, 2024-09, Vol.57, p.102114, Article 102114</ispartof><rights>2024 The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c183t-398df650bf92495fa050583450cd281b323dbe3e6a88c6f3dbec29531256a8cf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Le Roy, Benjamin</creatorcontrib><creatorcontrib>Dixon, Keith W.</creatorcontrib><creatorcontrib>Adams-Smith, Dennis</creatorcontrib><title>High-resolution urban climate simulations for heat and health applications in Philadelphia</title><title>Urban climate</title><description>Stakeholders need high-resolution urban climate information for city planning and adaptation to climate risks. Climate models have too coarse a spatial resolution to properly represent cities at the relevant scale, and downscaled products often fail to account for urban effects. We propose here a methodological framework for producing high-resolution urban databases that are used to drive the SURFEX-TEB land surface and urban canopy models. A historical simulation is carried out over the period 1991–2020, based on a reanalysis of the city of Philadelphia (Pennsylvania, USA). The simulation is compared with observations outside and inside the city, as well as with a field campaign. The results show good agreement between the model and observations, with average summer biases of only −1 °C and + 0.8 °C for daily minimum and maximum temperatures outside the city, and almost none inside. The simulation is used to calculate the maximum daily heat index (HIX) and to study emergency heat alerts. The HIX is slightly overestimated and, consequently, the model simulates too many heat events if not bias corrected. Overall, HIX conditions at Philadelphia International Airport are found to be suitable proxies for city-wide summer conditions, and therefore are appropriate to use for emergency heat declarations.</description><subject>Evaluation</subject><subject>Heat Stress</subject><subject>SURFEX</subject><subject>TEB</subject><subject>Urban Climate Modeling</subject><subject>Urban Heat Island</subject><issn>2212-0955</issn><issn>2212-0955</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9UEFOwzAQtBBIVKUv4OIPpNjrOEoOHFAFFKkSHODCxXLsNXHlJpGdIPF7EtoDp552dnZnNBpCbjlbc8aLu_16NMEf1sAgnxjgPL8gCwAOGaukvPyHr8kqpT1jDBiHquAL8rn1X00WMXVhHHzX0jHWuqWzoR6QJn8Yg54Pibou0gb1QHVrZxCGhuq-D96cHnxL3xoftMXQN17fkCunQ8LVaS7Jx9Pj-2ab7V6fXzYPu8zwUgyZqErrCslqV0FeSaeZZLIUuWTGQslrAcLWKLDQZWkKNy8GKik4yIkyTiyJOPqa2KUU0ak-Tunjj-JMzQ2pvfprSM0NqWNDk-r-qMIp2rfHqJLx2Bq0PqIZlO38Wf0vw_pw8g</recordid><startdate>202409</startdate><enddate>202409</enddate><creator>Le Roy, Benjamin</creator><creator>Dixon, Keith W.</creator><creator>Adams-Smith, Dennis</creator><general>Elsevier B.V</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>202409</creationdate><title>High-resolution urban climate simulations for heat and health applications in Philadelphia</title><author>Le Roy, Benjamin ; Dixon, Keith W. ; Adams-Smith, Dennis</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c183t-398df650bf92495fa050583450cd281b323dbe3e6a88c6f3dbec29531256a8cf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Evaluation</topic><topic>Heat Stress</topic><topic>SURFEX</topic><topic>TEB</topic><topic>Urban Climate Modeling</topic><topic>Urban Heat Island</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Le Roy, Benjamin</creatorcontrib><creatorcontrib>Dixon, Keith W.</creatorcontrib><creatorcontrib>Adams-Smith, Dennis</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><jtitle>Urban climate</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Le Roy, Benjamin</au><au>Dixon, Keith W.</au><au>Adams-Smith, Dennis</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High-resolution urban climate simulations for heat and health applications in Philadelphia</atitle><jtitle>Urban climate</jtitle><date>2024-09</date><risdate>2024</risdate><volume>57</volume><spage>102114</spage><pages>102114-</pages><artnum>102114</artnum><issn>2212-0955</issn><eissn>2212-0955</eissn><abstract>Stakeholders need high-resolution urban climate information for city planning and adaptation to climate risks. Climate models have too coarse a spatial resolution to properly represent cities at the relevant scale, and downscaled products often fail to account for urban effects. We propose here a methodological framework for producing high-resolution urban databases that are used to drive the SURFEX-TEB land surface and urban canopy models. A historical simulation is carried out over the period 1991–2020, based on a reanalysis of the city of Philadelphia (Pennsylvania, USA). The simulation is compared with observations outside and inside the city, as well as with a field campaign. The results show good agreement between the model and observations, with average summer biases of only −1 °C and + 0.8 °C for daily minimum and maximum temperatures outside the city, and almost none inside. The simulation is used to calculate the maximum daily heat index (HIX) and to study emergency heat alerts. The HIX is slightly overestimated and, consequently, the model simulates too many heat events if not bias corrected. Overall, HIX conditions at Philadelphia International Airport are found to be suitable proxies for city-wide summer conditions, and therefore are appropriate to use for emergency heat declarations.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.uclim.2024.102114</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2212-0955
ispartof Urban climate, 2024-09, Vol.57, p.102114, Article 102114
issn 2212-0955
2212-0955
language eng
recordid cdi_crossref_primary_10_1016_j_uclim_2024_102114
source ScienceDirect Freedom Collection 2022-2024
subjects Evaluation
Heat Stress
SURFEX
TEB
Urban Climate Modeling
Urban Heat Island
title High-resolution urban climate simulations for heat and health applications in Philadelphia
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T00%3A29%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-elsevier_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=High-resolution%20urban%20climate%20simulations%20for%20heat%20and%20health%20applications%20in%20Philadelphia&rft.jtitle=Urban%20climate&rft.au=Le%20Roy,%20Benjamin&rft.date=2024-09&rft.volume=57&rft.spage=102114&rft.pages=102114-&rft.artnum=102114&rft.issn=2212-0955&rft.eissn=2212-0955&rft_id=info:doi/10.1016/j.uclim.2024.102114&rft_dat=%3Celsevier_cross%3ES2212095524003110%3C/elsevier_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c183t-398df650bf92495fa050583450cd281b323dbe3e6a88c6f3dbec29531256a8cf3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true