Literature DB >> 31069519

Geostatistical analysis of precipitation in the island of Crete (Greece) based on a sparse monitoring network.

Vasiliki D Agou1, Emmanouil A Varouchakis2, Dionissios T Hristopulos3.   

Abstract

Based on the predictions of General Circulation Models, significant reduction of precipitation in Mediterranean areas is a possible scenario. Hence, better understanding of the spatial and temporal precipitation patterns is necessary in order to quantify desertification risks and design suitable mitigation measures. This study uses monthly precipitation measurements from a sparse network of 54 monitoring stations on the Mediterranean island of Crete (Greece). The study period extends from 1948 to 2012. The data reveal strong correlations between the western and eastern parts of the island. However, the average annual precipitation in the West is about 450 mm higher than that in the East. We construct a spatial model of average annual precipitation in Crete. The model involves a topographic trend and residuals with anisotropic spatial correlations which are fitted with a recently developed variogram function. We use regression kriging to generate annual precipitation maps and to identify locations of high estimation uncertainty. To our knowledge, this is the most detailed spatial analysis of precipitation in Crete to date. We present the analysis in detail for the year 1971. The trend accounts for ≈ 74% of the total variance. The highest precipitation estimate is 2331 mm in the West and 1781 mm in the East. The highest relative estimation uncertainty (≈ 20%) is observed along the southeastern coastline of the island, where the lowest values of annual precipitation are observed. This region includes one of the major agricultural areas of the island. The same overall patterns are found for other years in the study. Finally, we find no statistical evidence for a decrease in the global (over the entire island) annual precipitation during the study period.

Keywords:  Anisotropic variogram; Climate change; Mediterranean island; Regression kriging; Spartan variogram; Topographic trend

Mesh:

Year:  2019        PMID: 31069519     DOI: 10.1007/s10661-019-7462-8

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  3 in total

1.  Analysis and predictive models of stormwater runoff volumes, loads, and pollutant concentrations from watersheds in the Twin Cities metropolitan area, Minnesota, USA.

Authors:  Patrick L Brezonik; Teresa H Stadelmann
Journal:  Water Res       Date:  2002-04       Impact factor: 11.236

2.  Comparison of stochastic and deterministic methods for mapping groundwater level spatial variability in sparsely monitored basins.

Authors:  Epsilon A Varouchakis; D T Hristopulos
Journal:  Environ Monit Assess       Date:  2012-02-08       Impact factor: 2.513

3.  Modelling the spatial distribution of Echinococcus multilocularis infection in foxes.

Authors:  D R J Pleydell; F Raoul; F Tourneux; F M Danson; A J Graham; P S Craig; P Giraudoux
Journal:  Acta Trop       Date:  2004-08       Impact factor: 3.112

  3 in total
  2 in total

1.  Combining Geostatistics and Remote Sensing Data to Improve Spatiotemporal Analysis of Precipitation.

Authors:  Emmanouil A Varouchakis; Anna Kamińska-Chuchmała; Grzegorz Kowalik; Katerina Spanoudaki; Manuel Graña
Journal:  Sensors (Basel)       Date:  2021-04-30       Impact factor: 3.576

2.  Spatial Modeling of Precipitation Based on Data-Driven Warping of Gaussian Processes.

Authors:  Vasiliki D Agou; Andrew Pavlides; Dionissios T Hristopulos
Journal:  Entropy (Basel)       Date:  2022-02-23       Impact factor: 2.524

  2 in total

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