Calculation of climatic reference values and its use for automatic outlier detection in meteorological datasets

Téllez, B.; Cernocky, T.; Terradellas, Enric

doi:10.5194/asr-2-1-2008

Cited by 3 publications

(1 citation statement)

References 5 publications

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“…Error measures widely used include mean error (ME), mean absolute error (MAE), mean squared error (MSE), and RMSE (Jarvis and Stuart 2001;Alsamamra et al 2009;Ruiz-Arias et al 2011). Correlation values between predicted and observed values are used in the relevant methods (Tellez et al 2008). In selecting the most appropriate method, the current study made use of the correlation coefficients between estimated and observed values, which were obtained using the following Eq.…”

Section: Results Evaluation Proceduresmentioning

confidence: 99%

A Comparison of Different Interpolation Methods Using the Geographical Information System for the Production of Reference Evapotranspiration Maps in Turkey

Güler¹

2014

Journal of the Meteorological Society of Japan

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Eight different interpolation methods (inverse distance weighting, spline with tension, thin-plate spline, completely regularized spline, ordinary kriging, simple kriging, universal kriging, and linear regression (LR) model) were comparatively analyzed to determine the spatial distribution of monthly reference evapotranspiration (ET 0 ) values calculated using the Hargreaves method (ET 0-HG ). To compare the different methods, observation stations were divided into two data groups (58 stations for analysis and 14 stations for validation). The correlation coefficients for all months ranged between 0.68 and 0.90. Of all the methods evaluated, the LR model was found to give the optimum results. The highest correlation coefficient was observed with the LR model for all months except March, April, June, and September. UK showed lower correlation coefficients than the LR model for all months except June and September and was found to be the second-best method. Secondary data contributed positively to ET 0-HG interpolation; therefore, certain spatial data was incorporated into the LR model. The relationship between the monthly ET 0-HG values produced using the most efficient interpolation method, and the values calculated with the Penman-Monteith method (ET 0-PM ) were also investigated in this study. Correlation coefficients between the methods varied between 0.65 and 0.86 for all months. The largest difference between the two methods was observed in June (-2.27 mm day ). In conclusion, Hargreaves method was found to be easier to use in calculating ET 0 for the creation of ET 0 maps, in which the use of LR was found to be more reliable than other interpolation methods.

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Section: Results Evaluation Proceduresmentioning

confidence: 99%

A Comparison of Different Interpolation Methods Using the Geographical Information System for the Production of Reference Evapotranspiration Maps in Turkey

Güler¹

2014

Journal of the Meteorological Society of Japan

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Comparison of Different Interpolation Techniques For Modelling Temperatures In Middle Blacksea Region

Güler¹

2014

afgu

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The use of products from ground-based GNSS observations in meteorological nowcasting

Terradellas

Téllez

2010

Adv. Geosci.

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Abstract. Convective rainfall is often focalized in areas of moisture convergence. A close relationship between precipitation and fast variations of vertically-integrated water vapour (IWV) has been found in numerous cases. Therefore, continuous monitoring of atmospheric humidity and its spatial distribution is crucial to the operational forecaster for a proper nowcasting of heavy rainfall events. The microwave signals continuously broadcasted by the Global Navigation Satellite Systems (GNSS) satellites are influenced by the water vapour as they travel through the atmosphere. Estimates of IWV retrieved from ground-based GNSS observations may, then, constitute a source of information on the horizontal distribution and the time evolution of atmospheric humidity. At the Spanish Meteorological Agency (AEMET), a near-real-time map of IWV estimates retrieved from ground GNSS measurements in the Iberian Peninsula and West Mediterranean region is operationally built and presented to the forecaster. The maps are generated every 15 minutes following a one-dimensional variational assimilation scheme with the previous map as the background state. A case study is presented in order to illustrate some strengths and weaknesses of the product, to assess the potential benefit of using GNSS products in nowcasting and to define the steps to be done in order to make use of the full potential of the method.

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Calculation of climatic reference values and its use for automatic outlier detection in meteorological datasets

Cited by 3 publications

References 5 publications

A Comparison of Different Interpolation Methods Using the Geographical Information System for the Production of Reference Evapotranspiration Maps in Turkey

A Comparison of Different Interpolation Methods Using the Geographical Information System for the Production of Reference Evapotranspiration Maps in Turkey

Comparison of Different Interpolation Techniques For Modelling Temperatures In Middle Blacksea Region

The use of products from ground-based GNSS observations in meteorological nowcasting

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