NDLI: Spatial interpolation of climatic variables in a predominantly arid region with complex topography

Content Provider	Springer Nature Link
Author	Ahmed, Kamal Shahid, Shamsuddin Harun, Sobri Bin
Copyright Year	2014
Abstract	The benefits of accurately interpolating spatial distribution patterns of precipitation and temperature are well recognized. However, precipitation and temperature patterns are difficult to understand in a region that has complex topography and poor meteorological information. In this study, geostatistical and deterministic interpolation methods are used to understand the best modeling approach for mapping precipitation and temperature in a data-scarce arid region of Pakistan, where elevation and climate vary widely within a short distance. Long-term climate data collected from 15 metrological stations distributed over the Balochistan province of Pakistan are used for this purpose. The performances of various deterministic and geostatistical methods are assessed by using root mean squared errors in interpolation. The results show a difference in accuracy among interpolation methods. Incorporation of elevation significantly improves the accuracy of the interpolation of climate variables. The study concluded that the most preferable models for reliable mapping of precipitation and temperature for such region are disjunctive and universal cokriging.
Starting Page	555
Ending Page	563
Page Count	9
File Format	PDF
ISSN	21945403
Journal	Environmentalist
Volume Number	34
Issue Number	4
e-ISSN	21945411
Language	English
Publisher	Springer US
Publisher Date	2014-11-04
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Deterministic interpolation Geostatistical interpolation Arid and semi-arid region Precipitation Temperature Environment Environmental Management Sustainable Development Environmental Engineering/Biotechnology Environmental Economics
Content Type	Text
Resource Type	Article
Subject	Environmental Science

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