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Geostatistical Approach for Spatial Interpolation of Meteorological Data
Derya Ozturk1, Fatmagul Kilic2
1Department of Geomatics Engineering, Ondokuz Mayis University, Kurupelit Campus, 55139, Samsun, Turkey.
Anais Da Academia Brasileira De Ciencias
|December 20, 2016
Summary
Climate change analysis in Turkey's Aegean Region reveals significant shifts in precipitation patterns. Geostatistical methods, like Ordinary Kriging, are crucial for understanding these meteorological changes and informing environmental management.
Area of Science:
- Meteorology
- Climatology
- Environmental Science
- Geoinformatics
Background:
- Meteorological data analysis is vital for planning, disaster management, and environmental studies.
- Spatial data interpolation is a key challenge in meteorological analysis.
- Geostatistical methods integrated with Geographical Information System (GIS) offer robust alternatives to deterministic interpolation.
Purpose of the Study:
- To analyze the spatial distribution and temporal changes of precipitation and temperature in Turkey's Aegean Region.
- To assess climate change impacts on the region's precipitation regime.
- To demonstrate the utility of geostatistical approaches in meteorological research.
Main Methods:
- Employed Ordinary Kriging, a geostatistical interpolation technique, to map spatial data.
- Analyzed meteorological data for the Aegean Region across multiple years (1975-2010) in 5-year intervals.
- Utilized cell and multivariate statistics for examining temporal changes.
Main Results:
- Spatial distributions of precipitation and temperature were successfully generated for the specified periods.
- Significant changes in the precipitation regime of the Aegean Region were identified.
- The study confirmed the necessity of addressing climate change in the region.
Conclusions:
- Geostatistical methods are highly effective for meteorological data interpolation and analysis.
- The findings underscore the importance of monitoring and adapting to climate change in the Aegean Region.
- This research contributes to a better understanding of regional climate dynamics and environmental management strategies.
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