[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 9, Issue 35 (2018) ::
joc 2018, 9(35): 39-47 Back to browse issues page
Consideration of Interpolation Methods on Precipitation and Temperature Data in Southern Caspian Sea Region (Summer and Winter)
Mahboubeh Molavi-Arabshahi * , Kowsar Shavali-Koohshoori
IUST , molavi@iust.ac.ir
Abstract:   (357 Views)
The purpose of this study is to investigate interpolation methods for estimating and rehabilitating climate data. Due to the fact that two factors of rainfall and temperature are known as the most effective parameters in many applied decisions and in many studies of land physics, agriculture, hydrology, etc., climatic data are used. But climatic data are not always available at all intervals, or researchers need weather data to predict climatic conditions. In these cases, different interpolation methods are used. Therefore, in this research, existing methods for interpolation of climatic data in Ramsar, Babolsar and Bandar Anzali synoptic stations in period of 1951-2017 were evaluated. The results of the research indicated that the Neville and Spline interpolations provided a more accurate approximation for all studied stations. Other findings of the study were that temperature interpolation for the months of the summer season was less than the winter. There was also no significant difference between interpolations for different stations.
Keywords: Interpolation, Temperature, Precipitation, Caspian Sea
Full-Text [PDF 94 kb]   (136 Downloads)    
Type of Study: Applicable | Subject: Marine Meteorology
Received: 2018/06/27 | Accepted: 2018/10/15 | ePublished: 2018/12/15
1. Atkinson, K.E., 2008. An introduction to numerical analysis. (2nd edition), Wiley-India, 486P.
2. Dirks, K.N.; Hay, J.E.; Stow, C.D.; Harris, D., 1998. High-resolution studies of rainfall on Norfolk Island Part II: Interpolation of rainfall data. Journal of Hydrology, 208(3-4): 187-193. [DOI:10.1016/S0022-1694(98)00155-3]
3. Francisco, J.M., 2010. Comparison of different geostatistical approaches to map climate variables: application to precipitation. International Journal of Climatology, 30: 620-631.
4. Jeffrey, S.J.; Carter, J.O.; Moodie, K.B.; Beswick, A.R., 2001. Using spatial interpolation to construct a comprehensive archive of Australian climate data. Environmental Modelling and Software, 16: 309-330. [DOI:10.1016/S1364-8152(01)00008-1]
5. Kotlyakov, V.M.; Serebryanny, L.R.; Solomina, O.N., 1991. Climate change and glacier fluctuation during the last 1000 years in the Southern Mountains of the USSR. Mountain Research and Development, 11(1): 1-12. [DOI:10.2307/3673523]
6. Phillips, D.L.; Dolph, J.; Marks, D., 1992. A comparison of geostatistical procedures for spatial analysis of precipitation in mountainous terrain. Agricultural and Forest Meteorology, 58: 119-141. [DOI:10.1016/0168-1923(92)90114-J]
7. Price, D.T.; McKenney, D.W.; Nalder, L.A.; Hutchinson, M.F.; Kesteven, J.L., 2000. A comparison of two statistical methods for spatial interpolation of Canadian monthly mean climate data. Agricultural and Forest Meteorology, 101: 81-94. [DOI:10.1016/S0168-1923(99)00169-0]
8. Touchan, R.; Meko, D.M.; Aloui, A., 2008. Precipitation reconstruction for Northwestern Tunisia from tree rings. Journal of Arid Environments, 72: 1887-1896. [DOI:10.1016/j.jaridenv.2008.05.010]
Send email to the article author

Add your comments about this article
Your username or Email:


XML   Persian Abstract   Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Molavi-Arabshahi M, Shavali-Koohshoori K. Consideration of Interpolation Methods on Precipitation and Temperature Data in Southern Caspian Sea Region (Summer and Winter) . joc. 2018; 9 (35) :39-47
URL: http://joc.inio.ac.ir/article-1-1254-en.html

Volume 9, Issue 35 (2018) Back to browse issues page
نشریه علمی پژوهشی اقیانوس شناسی Journal of Oceanography
Persian site map - English site map - Created in 0.1 seconds with 32 queries by YEKTAWEB 3855