Accessibility navigation


Radiation fluxes in a business district of Shanghai, China

Downloads

Downloads per month over past year

Ao, X., Grimmond, C. S. B., Liu, D., Han, Z., Hu, P., Wang, Y., Zhen, X. and Tan, J. (2016) Radiation fluxes in a business district of Shanghai, China. Journal of Applied Meteorology and Climatology, 55 (11). pp. 2451-2468. ISSN 1558-8432

[img]
Preview
Text - Published Version
· Please see our End User Agreement before downloading.

3675Kb
[img]
Preview
Text - Accepted Version
· Please see our End User Agreement before downloading.

4Mb

To link to this item DOI: 10.1175/JAMC-D-16-0082.1

Abstract/Summary

Radiative fluxes are key drivers of surface-atmosphere heat exchanges in cities. Here the first year-long (December 2012 – November 2013) measurements of the full radiation balance for a dense urban site in Shanghai are presented, collected with a net radiometer CNR4 mounted 80 m above ground. Clear sky incoming shortwave radiation (K↓) (median daytime maxima) ranges from 575 W m-2 in winter to 875 W m-2 in spring, with cloud cover reducing the daily maxima by about 160 W m-2. The median incoming longwave radiation daytime maxima is 305 and 468 W m-2 in winter and summer, respectively, with increases of 30 and 15 W m-2 for cloudy conditions. The effect of air quality is evident: ‘haze’ conditions decrease hourly median K↓ by 11.3%. The midday (11:00 -13:00 LST) clear sky surface albedo (α) is 0.128, 0.141, 0.143 and 0.129 for winter, spring, summer and autumn, respectively. α varies with solar elevation and azimuth angle due to heterogeneity of the urban surface. In winter, shadows play an important role in decreasing α in the late afternoon. For the site, the bulk α is 0.14. The NARP/SUEWS land surface model reproduces the radiation components at this site well, a promising result for applications elsewhere. These observations help to fill the gap of long-term radiation measurements in East Asian and low-latitude cities quantifying the effects of season, cloud cover and air quality.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:67232
Publisher:American Meteorological Society

Download Statistics for this item.

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation