Urban heat island assessment: Metadata are important

Journal of Climate

Volumn 18, Issue 14, 2005, Pages 2637-2646

  Peterson, Thomas C ^a   Owen, Timothy W ^a  

^a NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC TEMPERATURE; CLIMATE CHANGE; GLOBAL WARMING; METADATA; STATISTICAL METHODS; WEATHER SATELLITES;

MAP BASED METADATA; URBAN HEAT ISLAND ASSESSMENT;

CLIMATOLOGY;

DATA SET; HEAT ISLAND; STATISTICAL ANALYSIS; URBAN ATMOSPHERE;

EID: 26844582841     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/JCLI3431.1     Document Type: Article

References (19)

1. Easterling, D. R., T. R. Karl, E. H. Mason, P. Y. Hughes, D. P. Bowman, R. C. Daniels, and T. A. Boden, 1996: United States Historical Climatology Network (U.S. HCN) monthly temperature and precipitation data. Carbon Dioxide Information and Analysis Center, Oak Ridge National Laboratory, Oak Ridge, TN, Publication 4500, 83 pp. + appendixes.
2. Gallo, K. P., 2005: Evaluation of temperature differences for paired stations of the U.S. Climate Reference Network. J. Climate, 18, 1631-1638.
3. Gallo, K.P., A. L. McNab, T. R. Karl, J. F. Brown, J. J. Hood, and J. D. Tarpley, 1993: The use of NOAA AVHRR data for assessment of the Urban Heat Island effect. J. Appl. Meteor., 32, 899-908.
4. Gallo, K.P., D. R. Easterling, and T. C. Peterson, 1996: The influence of and use/land cover on climatological values of the diurnal temperature range. J. Climate, 9, 2941-2944.
5. Imhoff, M. L., W. T. Lawrence, D. C. Stutzer, and C. D. Elvidge, 1997: A techniques for using composite DMSP/OLS 'city lights' satellite data to map urban areas. Remote Sens. Environ., 61, 361-370.
6. Jones, P. D., P. Ya. Groisman, M. Coughlan, N. Plumier, W.-C. Wang, and T. R. Karl, 1990: Assessment of urbanization effects in time series of surface air temperature over land. Nature, 347, 169-172.
7. Landsberg, H., 1970: Meteorological observations in urban areas. Meteorological Observations and Instrumentation, Meteor. Monogr., No. 11, Amer. Meteor. Soc., 91-99.
8. Mielke, P. W., 1991: The application of multivariate permutation methods based on distance functions in the earth sciences. Earth-Sci. Rev., 31, 55-71.
9. National Geophysical Data Center, cited 2002: Land use change project data: 2000 U.S. census population grids. [Available online at http://dmsp.ngdc.noaa.gov/html/download.html.]
10. Oke, T. R., 2001: Climate and the urban environment. Tech. Conf. on Climate Services for the Twenty-First Century, Geneva, Switzerland, WMO Commission for Climatology.
11. Owen, T. W., and K. P. Gallo, 2000: Updated population metadata for the United States Historical Climatology Network stations. J. Climate, 13, 4028-4033.
12. Owen, T.W., K.P. Gallo, C. D. Elvidge, and K. E. Baugh, 1998: Using DMSP-OLS light frequency data to categorize urban environments associated with U.S. climate observing stations. Int. J. Remote Sens., 19, 3451-3456.
13. Parker, D. E., 2004: Large-scale warming is not urban. Nature, 432, 290.
14. Peterson, T. C., 2003: Assessment of urban versus rural in situ surface temperatures in the contiguous United States: No difference found. J. Climate, 16, 2941-2959.
15. Peterson, T.C., and R. S. Vose, 1997: An overview of the Global Historical Climatology Network temperature database. Bull. Amer. Meteor. Soc., 78, 2837-2849.
16. Peterson, T.C., and Coauthors, 1998: Homogeneity adjustments of in situ atmospheric climate data: A review. Int. J. Climatol., 18, 1493-1517.
17. Spronken-Smith, R. A., and T. R. Oke, 1998: The thermal regime of urban parks in two cities with different summer climates. Int. J. Remote Sens., 19, 2085-2104.
18. U.S. Census Bureau, 2002: Population of states and counties of the United States: 1790-2000. U.S. Census Bureau, Washington, DC, 226 pp.
19. von Storch, H., and F. W. Zwiers, 1998: Statistical Analysis in Climate Research. Cambridge University Press, 484 pp.