Geoinformatics & Geostatistics: An OverviewISSN: 2327-4581

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Case Report, Geoinfor Geostat An Overview Vol: 3 Issue: 1

Climatic Variables Mapping Using Geostatistics in Semi Arid Region: Case Study of Tunisia

Haifa Feki1*, Hatem Baccour2 and Mohamed Slimani3
1Department of Hydraulic, Higher School of Rural Equipment Engineers of Medjez el bab, Tunisia
2Director of Agro Meteorology Service, National Institute of Meteorology of Tunisia, Tunisia
3Laboratory of Sciences and Techniques of Water, National Institute of Agronomy of Tunisia, Tunisia
Corresponding author : Haifa Feki
Department of hydraulic, Higher school of rural equipment engineers of Medjez el bab, Tunisia
Tel: +2169552422
E-mail: [email protected], [email protected], [email protected]
Received: January 10, 2015 Accepted: May 04, 2015 Published: May 11, 2015
Citation: Feki H, Baccour H, Slimani M (2014) Climatic Variables Mapping Using Geostatistics in Semi Arid Region: Case Study of Tunisia. Geoinfor Geostat: An Overview 3:1. doi:10.4172/2327-4581.1000127

Abstract

Climatic Variables Mapping Using Geostatistics in Semi Arid Region: Case Study of Tunisia

In this paper, two geostatistical algorithms are compared: universal kriging (UK) and kriging with external drift (KED). These algorithms are used to interpolate interannual rainfall observations and interannual potential evapotranspiration (Et0) measured at 22 weather stations in Tunisia covering an area of 164 150 km2. Experimental sample semi variograms are constructed and fitted to estimate levels of interannual rainfall and interannual Et0. Contour maps and corresponding uncertainty maps are then created. Maps of rainfall and Et0 obtained using UK showed a slightly smoother pattern than those obtained using KED. The largest kriging variance values are located in the west and south parts of the study area for both methods with a larger maximum variance for Et0 than for rainfall. Cross validation showed that the RMSE obtained for KED gave better results for rainfall interpolation while the UK gave better result for Et0 interpolation.

Keywords: Interannual rainfall; Interannual potential evapotranspiration;Geostatistics; Universal kriging; Kriging with external drift;variograms; Tunisia

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