Temporal and spatial variation of annual rainfall on the island of Crete, Greece

Naoum, Sherif; Tsanis, Ioannis K.

doi:10.1002/hyp.1217

Cited by 40 publications

(27 citation statements)

References 20 publications

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“…This model has been applied in Crete (Naoum and Tsanis, 2003) for annual precipitation and its results were comparable with other spatial interpolation methods (like splines, ordinary kriging, inverse distance weighting, and trend surface). Furthermore, in a recent study ), this MLR model was applied for the spatial interpolation of monthly and annual precipitation in the Pinios River basin, and its results were comparable to the results obtained by more sophisticated methods, like global methods (e.g.…”

Section: Spatial Interpolation Of Precipitationmentioning

confidence: 81%

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Probabilistic analysis of drought spatiotemporal characteristics inThessaly region, Greece

Λουκάς

Vasiliades

2004

Nat. Hazards Earth Syst. Sci.

175

101

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Abstract. The temporal and spatial characteristics of meteorological drought are investigated to provide a framework for sustainable water resources management in the region of Thessaly, Greece. Thessaly is the most intensely cultivated and productive agricultural plain region in Greece. Thessaly's total area is about 13 700 km 2 and it is surrounded by mountains and traversed by Pinios River. Using the Standardized Precipitation Index (SPI) as an indicator of drought severity, the characteristics of droughts are examined. Thessaly was divided into 212 grid-cells of 8×8 km and monthly precipitation data for the period 1960-1993 from 50 meteorological stations were used for global interpolation of precipitation using spatial co-ordinates and elevation data. Drought severity was assessed from the estimated gridded SPI values at multiple time scales. Firstly, the temporal and spatial characteristics of droughts were analyzed and then, Drought Severity -Areal extent -Frequency (SAF) annual and monthly curves were developed. The analysis indicated that moderate and severe droughts are common in Thessaly region. Using the SAF curves, the return period of selected severe drought events was assessed.

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Section: Spatial Interpolation Of Precipitationmentioning

confidence: 81%

“…The spatial interpolation of precipitation over the Thessaly region was estimate by a simple Multiple Linear Regression (MLR) model proposed by Naoum and Tsanis (2003). The general form of the model is:…”

Section: Spatial Interpolation Of Precipitationmentioning

confidence: 99%

Probabilistic analysis of drought spatiotemporal characteristics inThessaly region, Greece

Λουκάς

Vasiliades

2004

Nat. Hazards Earth Syst. Sci.

175

101

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“…The method of analysis used in the multiple linear regression models was the method of least squares, which is a minimization of the sum of the squares of the deviations of the observed response from the fitted response [61]. With precipitation being the dependent variable, we constructed a model that involves both the environmental variables (NDVI, elevation, slope, aspect, longitude, latitude) and their corresponding parameters.…”

Section: Regression Models (1) Multiple Linear Regression Modelmentioning

confidence: 99%

Fine-Resolution Precipitation Mapping in a Mountainous Watershed: Geostatistical Downscaling of TRMM Products Based on Environmental Variables

Zhang

et al. 2018

Remote Sensing

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Abstract:Accurate precipitation data at a high spatial resolution are essential for hydrological, meteorological, and ecological research at regional scales. This study presented a geostatistical downscaling-calibration procedure to derive the high spatial resolution maps of precipitation over a mountainous watershed affected by a monsoon climate. Based on the relationships between precipitation and other environmental variables, such as the Normalized Difference Vegetation Index (NDVI) and digital elevation model (DEM), a regression model with a residual correction method was applied to downscale the Tropical Rainfall Measuring Mission (TRMM) 3B43 product from coarse resolution (25 km) to fine resolution (1 km). Two methods, geographical difference analysis (GDA) and geographical ratio analysis (GRA), were used to calibrate the downscaled TRMM precipitation data. Monthly 1 km precipitation data were obtained by disaggregating 1 km annual downscaled and calibrated precipitation data using monthly fractions derived from original TRMM data. The downscaled precipitation datasets were validated against ground observations measured by rain gauges. According to the comparison of different regression models and residual interpolation methods, a geographically-weighted regression kriging (GWRK) method was accepted to conduct the downscaling of TRMM data. The downscaled TRMM precipitation data obtained using GWRK described the spatial patterns of precipitation reasonably well at a spatial resolution of 1 km with more detailed information when compared with the original TRMM precipitation. The results of validation indicated that the GRA method provided results with higher accuracy than that of the GDA method. The final annual and monthly downscaled precipitation not only had significant improvement in spatial resolution, but also agreed well with data from the validation rain gauge stations (i.e., R 2 = 0.72, RMSE = 161.0 mm, MAE = 127.5 mm, and Bias = 0.050 for annual downscaled precipitation during 2001 to 2015; and R 2 = 0.91, RMSE = 22.2 mm, MAE = 13.5 mm, and Bias = 0.048 for monthly downscaled precipitation during 2001 to 2015). In general, the downscaling-calibration procedure is useful for complex mountainous areas with insufficient ground gauges.

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“…Results reported by Naoum and Tsanis (2003) demonstrated that, for a typical dry year, the island of Crete would receive up to 800 mm of precipitation; for an average year, precipitation has a range between 800 and 1100 mm and finally for a wet year, the island would receive precipitation greater than 1100 mm. Based on these values, the range of elevation-precipitation gradient (b 1 ) is 0.26-0.49, 0.72-0.96 and 0.5-1 mm m −1 for minimum, maximum and average precipitation years, respectively.…”

Section: Resultsmentioning

confidence: 99%

“…A common belief that precipitation amounts increase with elevation was then adopted, thereby proving that the mountainous environment is prone to extreme and frequent precipitation events (Allamano et al, 2009). Naoum and Tsanis (2003) studied the spatio-temporal rainfall characteristics on the island of Crete for a range of 12-50 yr and found that the rainfall-elevation correlation was significant. Drogue et al (2002) used an operational software called PLUVIA, which distributes point measurements of monthly, annual and climatological rainfall to regularly spaced grid cells through a multiple regression analysis of rainfall versus morpho-topographic parameters derived from a digital elevation model.…”

Section: Introductionmentioning

confidence: 99%

Assessing precipitation distribution impacts on droughts on the island of Crete

Vrochidou

Tsanis

2012

Nat. Hazards Earth Syst. Sci.

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Abstract. Precipitation records from 56 stations on the island of Crete (Greece) revealed that areal mean annual precipitation is of a strong orographic type and its magnitude decreases in west-east direction by as much as 400 mm on average. Amongst many parameters that influence precipitation, the elevation and longitude were the most important and provided the highest spatial correlation. It was found that during the year with minimum precipitation, the precipitation shortage was greater at high elevations while the precipitation excess during the year with maximum precipitation was greater in the western part of the island. The assessment of the spatial and temporal distribution of droughts was carried out with the aid of the Spatially Normalized Standardized Precipitation Index (SN-SPI) for the period 1974-2005 in order to compare drought conditions between neighbouring areas of differing precipitation heights. The analysis showed that severe droughts occurred around the year 1992-1993, with a duration of up to 3 yr. Multiple linear regression (MLR) modeling of precipitation in conjunction with cluster analysis of drought duration exhibits the linkage between precipitation, droughts and geographical factors. This connection between spatial precipitation distribution and geographical parameters provides an important clue for the respective spatial drought pattern. The above findings on the spatio-temporal drought distribution will update the current drought management plans by developing more precise drought warning systems.

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Temporal and spatial variation of annual rainfall on the island of Crete, Greece

Cited by 40 publications

References 20 publications

Probabilistic analysis of drought spatiotemporal characteristics inThessaly region, Greece

Probabilistic analysis of drought spatiotemporal characteristics inThessaly region, Greece

Fine-Resolution Precipitation Mapping in a Mountainous Watershed: Geostatistical Downscaling of TRMM Products Based on Environmental Variables

Assessing precipitation distribution impacts on droughts on the island of Crete

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