2018
DOI: 10.1038/s41558-018-0320-9
|View full text |Cite
|
Sign up to set email alerts
|

Diurnal interaction between urban expansion, climate change and adaptation in US cities

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

3
149
2
6

Year Published

2019
2019
2021
2021

Publication Types

Select...
6
2

Relationship

2
6

Authors

Journals

citations
Cited by 242 publications
(171 citation statements)
references
References 36 publications
3
149
2
6
Order By: Relevance
“…These limitations may be addressed with the use of city land cover and building projections, in turn highlighting the need for engagement with policymakers. Krayenhoff et al () offers a recent example of this approach, finding a geographically varying nonlinear relationship between urban expansion and global climate change signals throughout the United States. Techniques such as cellular automata models of urban land cover sprawl (Clarke et al , ; Li and Yeh, ; Mitsova et al , ) may be incorporated into high‐resolution simulations, as well as projections of building technology change to account for increases in cooling technology efficiency.…”
Section: Discussionmentioning
confidence: 99%
“…These limitations may be addressed with the use of city land cover and building projections, in turn highlighting the need for engagement with policymakers. Krayenhoff et al () offers a recent example of this approach, finding a geographically varying nonlinear relationship between urban expansion and global climate change signals throughout the United States. Techniques such as cellular automata models of urban land cover sprawl (Clarke et al , ; Li and Yeh, ; Mitsova et al , ) may be incorporated into high‐resolution simulations, as well as projections of building technology change to account for increases in cooling technology efficiency.…”
Section: Discussionmentioning
confidence: 99%
“…Urban land expansion is associated with urban population growth, economic development, and other regional or local factors such as land use policies, capital flows, and transportation costs (Bren d'Amour et al, 2017;Seto et al, 2011). This process significantly modifies the surface properties such as albedo and roughness, increases the emissions of aerosols and anthropogenic heat, and reduces surface wind, thus exerting considerable impacts on regional climate change (Cao et al, 2018;He et al, 2014;Krayenhoff et al, 2018;Seto et al, 2011). Urbanization enhances sensible heat flux and soil heat flux at the expense of latent heat flux, thereby leading to the well-known urban heat island (UHI) effect (Jones et al, 2008;Luo & Lau, 2018;Yao et al, 2019;Zhou et al, 2004), with higher temperature in the urban core area than the surrounding rural areas (Kalnay & Cai, 2003;Oke, 1982;Zhao et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, WRF simulations include dynamic urban growth based on the A2 2060 projection obtained from the Environmental Protection Agency's Integrated Climate and Land Use Scenarios (ICLUS, v1.3.2). Further information on the regional climate model simulations, associated WRF calibration and extensive evaluation can be found in (Krayenhoff et al 2018).…”
Section: Building Archetypesmentioning
confidence: 99%
“…The reason is that future weather data is often obtained using the 'morphing' approach, which neglects the impacts of urban induced warming, urban morphology, and assumes the same hourly profiles as the historic records (Sailor 2014). Moreover, many of these studies are limited to snapshot years, whereas recorded and projected data suggest that seasonal temperature variations between consecutive years could be of similar magnitude to long term climate trends (Krayenhoff et al 2018).…”
Section: Introductionmentioning
confidence: 99%