Numerical simulation of urban heat island effect by the WRF model with 4-km grid increment: An inter-comparison study between the urban canopy model and slab model

Hiroyuki Kusaka*, Fei Chen, Mukul Tewari, Jimy Dudhia, David O. Gill, Michael G. Duda, Wei Wang, Yukako Miya

*Corresponding author for this work

Research output: Contribution to journalJournal Articlepeer-review

Abstract

The present study applies the WRF model involving the single-layer urban canopy model (hereafter, WRF_UCM) to urban climate simulation of the Tokyo metropolitan area for August (2004-2007) and compare results to (a) observations, and (b) the WRF model involving the slab urban model (hereafter, WRF_SLAB). In this urban area, WRF_UCM accurately captures the observed monthly mean daytime and nocturnal UHI, whereas WRF_SLAB does not show a nocturnal UHI. Moreover, the observed diurnal variations of the surface air temperature for central Tokyo and Kumagaya, a nearby inland city, are reproduced well by WRF_UCM. However, WRF_SLAB exhibits both a 1-hr phase shift and a 6.2°C excess oscillation magnitude over observations. In addition, WRF_UCM accurately reproduces the frequency distribution of surface air temperatures, showing a maximum at 27°C, whereas WRF_SLAB produce a bimodal distribution, with double peaks at 23 and 33°C. Finally, WRF_UCM does a much better job than WRF_SLAB at modeling the relative humidity.

Original languageEnglish
Pages (from-to)33-45
Number of pages13
JournalJournal of the Meteorological Society of Japan
Volume90
Issue numberB
DOIs
Publication statusPublished - 2012
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Fingerprint

Dive into the research topics of 'Numerical simulation of urban heat island effect by the WRF model with 4-km grid increment: An inter-comparison study between the urban canopy model and slab model'. Together they form a unique fingerprint.

Cite this