Bridging the Gap Between Applied Meteorology and Climate Science: A White Roof Example

White roof is a widely-studied urban heat mitigation strategy and frequently incorporated into climate adaptation plans by cities. Assessing the effects of white roofs on temperature has often been approached from the perspective of applied meteorology. Here, the white roof problem is reframed to a climate science problem by focusing on the roof surface temperature, incorporating concepts of climate forcing, sensitivity, and feedback, and utilizing a linearized surface energy balance (SEB) model. Different from the Albedo Cooling Effectiveness (ACE) index used for quantifying white roof effects, a new index called Albedo Cooling Sensitivity (ACSₛ, where the subscript 's' indicates surface) is proposed as a stepping stone towards understanding white roof effects. The variability of ACSₛ simulated by the Weather Research and Forecasting (WRF) model is found to be strongly related to the variability of convective heat transfer efficiency. It is recommended that climate forcing, sensitivity, and feedback be systematically integrated into the analysis of diverse urban adaptation strategies.

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Publication Details

Journal
ARC Geophysical Research
Published
2025-03-17
DOI
https://doi.org/10.5149/arc-gr.1418
Citations
2
Primary Topic
Conflict of Laws and Jurisdiction
Type
article
Field-Weighted Citation Impact
17.04

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article

Bridging the Gap Between Applied Meteorology and Climate Science: A White Roof Example

2 citations
ARC Geophysical Research
Conflict of Laws and Jurisdiction
17.04
article

Bridging the Gap Between Applied Meteorology and Climate Science: A White Roof Example

article en
2 citations

Abstract

White roof is a widely-studied urban heat mitigation strategy and frequently incorporated into climate adaptation plans by cities. Assessing the effects of white roofs on temperature has often been approached from the perspective of applied meteorology. Here, the white roof problem is reframed to a climate science problem by focusing on the roof surface temperature, incorporating concepts of climate forcing, sensitivity, and feedback, and utilizing a linearized surface energy balance (SEB) model. Different from the Albedo Cooling Effectiveness (ACE) index used for quantifying white roof effects, a new index called Albedo Cooling Sensitivity (ACSₛ, where the subscript 's' indicates surface) is proposed as a stepping stone towards understanding white roof effects. The variability of ACSₛ simulated by the Weather Research and Forecasting (WRF) model is found to be strongly related to the variability of convective heat transfer efficiency. It is recommended that climate forcing, sensitivity, and feedback be systematically integrated into the analysis of diverse urban adaptation strategies.

ARC Geophysical ResearchVol. 1(1)
Boston University (US), Department of Chemistry and Earth Sciences (BY), Department of Earth Sciences (RU)
National Science Foundation, U.S. Department of Energy, National Energy Research Scientific Computing Center, Office of Science, Lawrence Berkeley National Laboratory
Openalex Percentile: Top 2%
Conflict of Laws and Jurisdiction
17.04
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