Comparisons of urban-related warming in Beijing using different methods to calculate the daily mean temperature

作者: Deming Zhao , Jian Wu

DOI: 10.1007/S11430-018-9298-X

关键词:

摘要: To evaluate the contribution of urban surface expansion to regional warming using different methods calculate daily mean air temperature (SAT), satellite-based images displaying over past 37 years (1980–2016) across China were collected for use in nested numerical experiments weather research and forecasting (WRF) climate model. The urban-related was determined SAT averages based on four time records each day (00, 06, 12, 18 h UTC, T 4) maximum ( max) minimum min) xn). (relative value) Beijing 0.110°C per decade (22.8% total warming) 4 0.094°C (20.2%) xn. values obtained when larger than those Differences calculated xn could be attributed smaller changing trends urban-surface experiment, which resulted from a large trend min much max. changes diurnal cycle energy budget due induced SAT, as evidenced by day, well max min. This especially true periods intense expansion, although annual that 4. increase impervious area (walls, streets, etc.) widespread building materials with heat capacity marked ground flux daytime. restricted daytime, but promoted it at night. increases not symmetrical, being daytime

参考文章(19)
Masao Kanamitsu, Wesley Ebisuzaki, Jack Woollen, Shi-Keng Yang, J. J. Hnilo, M. Fiorino, G. L. Potter, NCEP–DOE AMIP-II Reanalysis (R-2) Bulletin of the American Meteorological Society. ,vol. 83, pp. 1631- 1643 ,(2002) , 10.1175/BAMS-83-11-1631
K. Trusilova, M. Jung, G. Churkina, U. Karstens, M. Heimann, M. Claussen, Urbanization impacts on the climate in Europe: Numerical experiments by the PSU-NCAR Mesoscale Model (MM5) Journal of Applied Meteorology and Climatology. ,vol. 47, pp. 1442- 1455 ,(2008) , 10.1175/2007JAMC1624.1
J. Hansen, R. Ruedy, M. Sato, K. Lo, GLOBAL SURFACE TEMPERATURE CHANGE Reviews of Geophysics. ,vol. 48, ,(2010) , 10.1029/2010RG000345
Thomas R. Karl, Philip D. Jones, Urban Bias in Area-averaged Surface Air Temperature Trends Bulletin of the American Meteorological Society. ,vol. 70, pp. 265- 270 ,(1989) , 10.1175/1520-0477(1989)070<0265:UBIAAS>2.0.CO;2
Russell S. Vose, David R. Easterling, Byron Gleason, Maximum and minimum temperature trends for the globe: An update through 2004 Geophysical Research Letters. ,vol. 32, ,(2005) , 10.1029/2005GL024379
Gensuo Jia, Ronghan Xu, Yonghong Hu, Yuting He, Multi-scale remote sensing estimates of urban fractions and road widths for regional models Climatic Change. ,vol. 129, pp. 543- 554 ,(2015) , 10.1007/S10584-014-1114-3
Kaicun Wang, Sampling Biases in Datasets of Historical Mean Air Temperature over Land Scientific Reports. ,vol. 4, pp. 4637- 4637 ,(2015) , 10.1038/SREP04637
V. Misra, J.-P. Michael, R. Boyles, E. P. Chassignet, M. Griffin, J. J. O’Brien, Reconciling the Spatial Distribution of the Surface Temperature Trends in the Southeastern United States Journal of Climate. ,vol. 25, pp. 3610- 3618 ,(2012) , 10.1175/JCLI-D-11-00170.1
Eugenia Kalnay, Ming Cai, Impact of urbanization and land-use change on climate Nature. ,vol. 423, pp. 528- 531 ,(2003) , 10.1038/NATURE01675
Yonghong Hu, Gensuo Jia, Christine Pohl, Qiang Feng, Yuting He, Hao Gao, Ronghan Xu, John van Genderen, Jinming Feng, Improved monitoring of urbanization processes in China for regional climate impact assessment Environmental Earth Sciences. ,vol. 73, pp. 8387- 8404 ,(2015) , 10.1007/S12665-014-4000-4