Spatial interpolation of monthly mean climate data for China

International Journal of Climatology

Volumn 25, Issue 10, 2005, Pages 1369-1379

  Yan, Hong ^a   Nix, Henry A ^b   Hutchinson, Mike F ^b   Booth, Trevor H ^c  

^a RESEARCH INSTITUTE OF FORESTRY   (China)

^b AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^c CSIRO   (Australia)

Author keywords

China; Interpolation; Precipitation; Spline; Temperature

Indexed keywords

ATMOSPHERIC TEMPERATURE; CLIMATE CHANGE; DATABASE SYSTEMS; INTERPOLATION; MATHEMATICAL MODELS; PRECIPITATION (METEOROLOGY); STATISTICS;

DIGITAL ELEVATION MODEL (DEM); PEOPLES REPUBLIC OF CHINA; SPLINE INTERPOLATION;

CLIMATOLOGY;

DIGITAL ELEVATION MODEL; INTERPOLATION; PRECIPITATION (CLIMATOLOGY); REGIONAL CLIMATE; SPATIAL ANALYSIS; TEMPERATURE; TOPOGRAPHIC EFFECT;

ASIA; CHINA; EASTERN HEMISPHERE; EURASIA; FAR EAST; WORLD;

EID: 23844445458     PISSN: 08998418     EISSN: None     Source Type: Journal    
DOI: 10.1002/joc.1187     Document Type: Article

References (33)

1. Bailey RG. 1985. Ecological regionalization in Canada and the United States. Geoforum 16: 265-275.
2. Booth TH. 1990. Mapping regions climatically suitable for particular tree species at the global scale. Forest Ecology and Management 36: 47-60.
3. Collins FC, Bolstad PV. 1996. A comparison of spatial interpolation techniques in temperature estimation. In Proceedings of the Third International Environmental Modeling, Santa Fe, New Mexico, 21-25 January. National Center for Geographic Information Analysis (NCGIA) Santa Barbara, California; CD-ROM.
4. Craven P, Wahba G. 1979. How to smooth curves and surfaces with splines and cross-validation. In Proceedings of the 24th Design of Experiments Conference, US Army Research Office, Report 79-2; 167-192.
5. Daly C, Gibson WP, Hannaway D, Taylor GH. 2000. Development of new climate and plant adaptation maps for China. In 12th AMS Conference on Applied Climatology, Asheville, NC, 8-11 May. American Meteorological Society Boston; 62-65.
6. ESRI. 1998. 1: 1M Arc World. Environmental System Research Institute, Inc.: Redlands, CA CD-ROM.
7. Gyalistras D. 2003. Development and validation of a high-resolution monthly gridded temperature and precipitation data set for Switzerland (1951-2000). Climate Research 25: 55-83.
8. Hartkamp AD, Kirsten DB, Stein A, White JW. 1999. Interpolation techniques for climate variables. NRG-GIS Series 99-01. CIMMYT, Mexico, D.F.
9. Hills GA. 1960. Regional site research. Forestry Chronicle 36: 401-423.
10. Hutchinson MF. 1988. Calculation of hydrologically sound digital elevation models. In Proceedings of Third International Symposium on Spatial Data Handling, 17-19 August, Sydney. International Geography Union: Columbus, OH.
11. Hutchinson MF. 1991. The application of thin plate smoothing splines to continent-wide data assimilation. In BMRC Research Report No.27, Data Assimilation Systems, Jasper JD (ed.). Bureau of Meteorology, Melbourne; 104-113.
12. Hutchinson MF, Dowling TI. 1991. A continental hydrological assessment of a new grid-based digital elevation model of Australia. Hydrological Processes 5: 45-58.
13. Hutchinson MF, Gessler PE. 1994. Splines - more than just a smooth interpolator. Geoderma 62: 45-67.
14. Hutchinson MF. 2001. ANUSPLIN user guide. Australian National Uuniversity, Canberra.
15. Köeppen W. 1923. Die Klimate der Erde; Grundeiee der Klimakunde. Walter de Gruyter: Berlin.
16. Lam NS. 1983. Spatial interpolation method: a review. American Cartography 10: 129-149.
17. Lin ZH, Muo XG, Li HX, Li HB. 2002. Comparison of three spatial interpolation methods for climate variables in China. Acta Geography Sinica 57: 47-56.
18. Linacre E. 1992. Climate Data and Resources: A Reference and Guide. Routledge: London.
19. Moore ID, Grayson RB, Ladson AR. 1991. Digital terrain modelling: a review of hydrological, geomorphological and biological application. Hydrological Processes 5: 3-30.
20. Nix HA, Faith DP, Hutchinson MF, Margules CR, West J, Allison A, Kesteven JL, Natera G, Staler W, Stein JL, Walker P. 2001. The BioRapToolbox. A national study of biodiversity assessment and planning for Papua New Guinea. Consultancy report to the World Bank. Australian National University, Canberra.
21. Olanski I. 1975. A subdivision of scales for atmospheric processes. Bulletin of the American Meteorological Society 56: 527-530.
22. Pan YZ, Gong DY, Deng L, Li J, Gao J. 2004. Smart distance searching based and DEM informed interpolation of surface air temperature in China. Acta Geographica Sinica 59: 366-374.
23. Shang ZB, Guo Q, Yang DA. 2001. Spatial pattern analysis of annual precipitation with climate information system of China. Acta Ecologica Sinica 21: 689-694.
24. State Bureau of Meteorology. 2002. Climate Observation of China (1971-2000). Chinese Meteorological Publishing House: Beijing.
25. Thomas A, Herzfeld UC. 2004. REGEOTOP: new climatic data fields for East Asia based on localized relief information and geostatistical methods. International Journal of Climatology 24: 1282-1306.
26. Vicente-Serrano SM, Saz-Sanchez MA, Cuadrat JM. 2003. Comparative analysis of interpolation methods in the middle Ebro Valley (Spain): application to annual precipitation and temperature. Climate Research 24: 161-180.
27. Wahba G, Wendelberger J. 1980. Some new mathematical methods for variational objective analysis using splines and cross-validation. Monthly Weather Review 108: 1122-1145.
28. Wilson JC, Gallant JP. 2000. Terrain Analysis: Principles and Applications. Wiley.
29. Woodward FI. 1987. Climate and Plant Distribution. 1. Vegetation and Climate. Cambridge University Press.
30. Wu CJ (ed.). 1988. 1: 1 000 000 Land-Use Map of China. Science Press: Beijing.
31. Xu DY, Yan H. 2001. A comparing study on the impacts of climate change on the geographic distribution of Pinus koraiensis. Environment International 27: 201-205.
32. Yan H, Booth TH, Zuo H. 1996. Green - a climatic mapping program for China and its use in forestry. In Matching Trees and Sites. ACIAR Proceedings, No. 63. 10-17.
33. Zhu HZ, Luo TX, Daly C. 2003. Validation of simulated grid data sets of China's temperature and precipitation with high spatial resolution. Geographical Research 22: 349-359.