Climate portrayal of Tokat Province in Turkey; developing climatic surfaces by using LOCCLIM and GIS

Journal of Biological Sciences

Volumn 7, Issue 7, 2007, Pages 1060-1071

  Dogan, Hakan Mete ^a  

^a GAZIOSMANPASA UNIVERSITY   (Turkey)

Author keywords

Climate maps; GIS; LOCCLIM; Tokat; Turkey

Indexed keywords

ARTICLE; BIODIVERSITY; CLIMATE; CORRELATION ANALYSIS; GEOGRAPHIC INFORMATION SYSTEM; PRECIPITATION; TEMPERATURE; TURKEY (REPUBLIC); VAPOR PRESSURE; VELOCITY; WATER VAPOR; WIND;

EID: 36048936646     PISSN: 17273048     EISSN: 18125719     Source Type: Journal    
DOI: 10.3923/jbs.2007.1060.1071     Document Type: Article

References (26)

1. Akman, Y. and Ph. Daget, 197 1. Some synoptic aspects of the climates of Turkey. In French (Quelques aspects synoptiques des climats. de la Turquie), Extrait du Bulletin de la Société Languedocienne de Géographie, 5: 269-300.
2. Akman, Y., 1999. Climate and bioclimate (bioclimate methods and Turkey's climate). Kariyer Press. Ankara, Turkey.
3. Apaydin, H., F.K. Sonmez and Y.E. Yildirim, 2004. Spatial interpolation techniques for climate data in the GAP region in Turkey. Clim. Res., 28: 31-40.
4. Bradley, A.V., J.E. Thornes, L. Chapman, D. Unwin and M. Roy, 2002. Modelling spatial and temporal road thermal climatology in rural and urban areas using a GIS. Clim. Res., 22: 41-45.
5. Daly, C., R.P. Neilson and D.L. Phillips, 1994. A statistical-topographical model for mapping climatological precipitation over mountainous terrain. J. Applied Meteorol., 33: 140-159.
6. Dogan, H.M., 2007. High resolution climatic surfaces of Nallihan ecosystem in Turkey: A convenient methodology to create climate maps. J. Applied Sci., 7: 654-662.
7. ESRI, 2004. ArcGIS 9, Geoprocessing in ArcGIS. Environmental Systems Research Institute, Redlands, California, U.S.A.
8. ESRI, 2005. ArcGIS 9, What is in ArcGIS 9.1. Environmental Systems Research Institute, Redlands, California, USA.
9. GDTSMS, 2007. General Directorate of Turkish State Meteorological Service. http://www.meteor.gov.tr.
10. Grieser, J., 2002. Local climate estimator (LOCCLIM 1.0) based on FAOCLIM ver. 2 database of the Agrometeorology Group. FAO Environment and Natural Resources Service SDRN. Rome, Italy.
11. Gyalistras, D., 2003. Development and validation of a high-resolution monthly gridded temperature and precipitation data set for Switzerland (1951-2000). Clim. Res., 25: 55-83.
12. Hevesi, J.A., J.D. Istok and A.L. Flint, 1992. Precipitation estimation in mountainous terrain using multivariate geostatistics. Part I: Structural analysis. J. Applied Meteorol., 31: 661-676.
13. Holdaway, M.R., 1996. Spatial modeling and interpolation of monthly temperature using kriging. Clim. Res., 6: 215-225.
14. Jeffrey, S.J., J.O. Carter, K.B. Moodie and A.R. Beswick, 2001. Using spatial interpolation to construct a comprehensive archive of Australian climate data. Environ. Modell. Software, 16: 309-330.
15. Jolly, W.M., J.M. Graham, A. Michaelis, R. Nemani and S.W. Running, 2005. A flexible, integrated system for generating meteorological surfaces derived from point sources across multiple geographic scales. Environ. Modell. Software, 20: 873-882.
16. Kurtzman, D. and R. Kadmon, 1999. Mapping of temperature variables in Israel: Comparison of different interpolation methods. Clim. Res., 13: 33-43.
17. Lee, E.H. and W.E. Hogsett, 2001. Interpolation of temperature and non-urban ozone exposure at high spatial resolution over the western United States. Clim. Res., 18: 163-179.
18. Lutgens, F.K. and E.J. Tarbuck, 1995. The atmosphere, 6th Edn. Prentice-Hall, Englewood Cliffs, New Jersey. McCabe, G.J. and D.M. Wolock, 2002. Trends and temperature sensitivity of moisture conditions in the conterminous United States. Clim. Res., 20: 19-29.
19. Microsoft, 2003. Microsoft Office Excel. Microsoft Corporation, Microsoft Office Professional Edition, U.S.A.
20. Osterkamp, S., D. Kraft and M. Schirmer, 2001. Climate change and the ecology of the Weser estuary region: Assessing the impact of an abrupt change in climate. Clim. Res., 18: 97-104.
21. Patz, J.A. and J.M. Balbus, 1996. Methods for assessing public health vulnerability to global climate change. Clim. Res., 6: 113-125.
22. Semenov, M.A. and R.J. Brooks, 1999. Spatial interpolation of the LARS-WG stochastic weather generator in Great Britain. Clim. Res., 11: 137-148.
23. SPSS, 2001. SPSS 11.0 for Windows. SPSS Inc., Chicago.
24. Svensson, M.K., I. Eliasson and B. Holmer, 2002. A GIS based empirical model to simulate air temperature variations in the Göteborg urban area during the night. Clim. Res., 22: 215-226.
25. Thomas, A. and U.C. Herzfeld, 2004. Regeotop: New climatic data fields for East Asia based on localized relief information and geostatistical methods. Int. J. Climatol., 24: 1283-1306.
26. Vicente-Serrano, S.M., M.A. Saz-Sánchez and J.M. Cuadrat, 2003. Comparative analysis of interpolation methods in the middle Ebro Valley (Spain): Application to annual precipitation and temperature. Clim. Res., 24: 161-180.