Temperature Response from the Change of Surface Heat Flux and Vertical Diffusivity by Urbanization

A 1-D diffusion model of temperature is employed to understand important features of temperature response to the changes of surface heat flux (SHF) and vertical diffusivity shown in 3-D model simulations. Analytical results show that the temperature response to the SHF change is the convolution of t...

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Main Authors: Shuzhan Ren, Craig A. Stroud
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/11/9/978
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spelling doaj-e8fc573c5f404055bc44ef0ccd64be172020-11-25T03:36:01ZengMDPI AGAtmosphere2073-44332020-09-011197897810.3390/atmos11090978Temperature Response from the Change of Surface Heat Flux and Vertical Diffusivity by UrbanizationShuzhan Ren0Craig A. Stroud1Air Quality Research Division, Science and Technology Branch, Environment and Climate Change Canada, Toronto, ON M3H 5T4, CanadaAir Quality Research Division, Science and Technology Branch, Environment and Climate Change Canada, Toronto, ON M3H 5T4, CanadaA 1-D diffusion model of temperature is employed to understand important features of temperature response to the changes of surface heat flux (SHF) and vertical diffusivity shown in 3-D model simulations. Analytical results show that the temperature response to the SHF change is the convolution of the SHF change and Green’s function (GF). Because the GF is inversely proportional to the square root of diffusion coefficient near the surface, weak/strong diffusivity in the early morning/noontime tends to generate a large/small temperature response by slowing/accelerating heat flow from surface to the atmosphere. The modulation effect of the GF and the convolution effect explain very different temperature responses to the SHF change during each period. Analytical results also show that the temperature response to the change of DF is equal to the convolution of the product of diffusion coefficient change, vertical gradients of reference temperature and the GF. Because the vertical gradient of the GF is negative below 80 m, enhanced/reduced diffusivity would enhance/weaken the urban temperature, if the vertical gradient of reference temperature is negative/positive. Numerical results with typical values of the changes of SHF and diffusivity suggest that the changes of SHF has the dominant contribution to the temperature response.https://www.mdpi.com/2073-4433/11/9/978urbanizationurban temperature responseurban surface heat fluxesvertical diffusivity1-D diffusion modelair quality model
collection DOAJ
language English
format Article
sources DOAJ
author Shuzhan Ren
Craig A. Stroud
spellingShingle Shuzhan Ren
Craig A. Stroud
Temperature Response from the Change of Surface Heat Flux and Vertical Diffusivity by Urbanization
Atmosphere
urbanization
urban temperature response
urban surface heat fluxes
vertical diffusivity
1-D diffusion model
air quality model
author_facet Shuzhan Ren
Craig A. Stroud
author_sort Shuzhan Ren
title Temperature Response from the Change of Surface Heat Flux and Vertical Diffusivity by Urbanization
title_short Temperature Response from the Change of Surface Heat Flux and Vertical Diffusivity by Urbanization
title_full Temperature Response from the Change of Surface Heat Flux and Vertical Diffusivity by Urbanization
title_fullStr Temperature Response from the Change of Surface Heat Flux and Vertical Diffusivity by Urbanization
title_full_unstemmed Temperature Response from the Change of Surface Heat Flux and Vertical Diffusivity by Urbanization
title_sort temperature response from the change of surface heat flux and vertical diffusivity by urbanization
publisher MDPI AG
series Atmosphere
issn 2073-4433
publishDate 2020-09-01
description A 1-D diffusion model of temperature is employed to understand important features of temperature response to the changes of surface heat flux (SHF) and vertical diffusivity shown in 3-D model simulations. Analytical results show that the temperature response to the SHF change is the convolution of the SHF change and Green’s function (GF). Because the GF is inversely proportional to the square root of diffusion coefficient near the surface, weak/strong diffusivity in the early morning/noontime tends to generate a large/small temperature response by slowing/accelerating heat flow from surface to the atmosphere. The modulation effect of the GF and the convolution effect explain very different temperature responses to the SHF change during each period. Analytical results also show that the temperature response to the change of DF is equal to the convolution of the product of diffusion coefficient change, vertical gradients of reference temperature and the GF. Because the vertical gradient of the GF is negative below 80 m, enhanced/reduced diffusivity would enhance/weaken the urban temperature, if the vertical gradient of reference temperature is negative/positive. Numerical results with typical values of the changes of SHF and diffusivity suggest that the changes of SHF has the dominant contribution to the temperature response.
topic urbanization
urban temperature response
urban surface heat fluxes
vertical diffusivity
1-D diffusion model
air quality model
url https://www.mdpi.com/2073-4433/11/9/978
work_keys_str_mv AT shuzhanren temperatureresponsefromthechangeofsurfaceheatfluxandverticaldiffusivitybyurbanization
AT craigastroud temperatureresponsefromthechangeofsurfaceheatfluxandverticaldiffusivitybyurbanization
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