Spatial Interpolation of Reference Evapotranspiration in India: Comparison of IDW and Kriging Methods

被引：47

作者：

Hodam S. ^{[1
]}

Sarkar S. ^{[1
]}

Marak A.G.R. ^{[1
]}

Bandyopadhyay A. ^{[1
]}

Bhadra A. ^{[1
]}

机构：

[1] Department of Agricultural Engineering, North Eastern Regional Institute of Science and Technology, Nirjuli, Itanagar, Arunachal Pradesh

来源：

Journal of The Institution of Engineers (India): Series A | 2017年 / 98卷 / 04期

关键词：

Geostatistics; Inverse distance weighted interpolation; Kriging; Reference evapotranspiration; Spatial interpolation;

D O I：

10.1007/s40030-017-0241-z

中图分类号：

学科分类号：

摘要：

In the present study, to understand the spatial distribution characteristics of the ETo over India, spatial interpolation was performed on the means of 32 years (1971–2002) monthly data of 131 India Meteorological Department stations uniformly distributed over the country by two methods, namely, inverse distance weighted (IDW) interpolation and kriging. Kriging was found to be better while developing the monthly surfaces during cross-validation. However, in station-wise validation, IDW performed better than kriging in almost all the cases, hence is recommended for spatial interpolation of ETo and its governing meteorological parameters. This study also checked if direct kriging of FAO-56 Penman–Monteith (PM) (Allen et al. in Crop evapotranspiration—guidelines for computing crop water requirements, Irrigation and drainage paper 56, Food and Agriculture Organization of the United Nations (FAO), Rome, 1998) point ETo produced comparable results against ETo estimated with individually kriged weather parameters (indirect kriging). Indirect kriging performed marginally well compared to direct kriging. Point ETo values were extended to areal ETo values by IDW and FAO-56 PM mean ETo maps for India were developed to obtain sufficiently accurate ETo estimates at unknown locations. © 2017, The Institution of Engineers (India).

引用

页码：511 / 524

页数：13

共 24 条

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