Napredna pretraga

Pregled bibliografske jedinice broj: 806957

Operational validation and verification of ALADIN forecast in meteorological and hydrological service of Croatia


Tudor, Martina; Stanešić, Antonio; Ivatek- Šahdan, Stjepan; Hrastinski, Mario; Odak Plenković, Iris; Horvath, Kristian; Bajić, Alica; Kovačić, Tomislav
Operational validation and verification of ALADIN forecast in meteorological and hydrological service of Croatia // Hrvatski meteorološki časopis, 50 (2015), 47-70 (međunarodna recenzija, članak, stručni)


Naslov
Operational validation and verification of ALADIN forecast in meteorological and hydrological service of Croatia

Autori
Tudor, Martina ; Stanešić, Antonio ; Ivatek- Šahdan, Stjepan ; Hrastinski, Mario ; Odak Plenković, Iris ; Horvath, Kristian ; Bajić, Alica ; Kovačić, Tomislav

Izvornik
Hrvatski meteorološki časopis (1330-0083) 50 (2015); 47-70

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, stručni

Ključne riječi
ALADIN model ; verification ; validation ; operational NWP

Sažetak
The numerical forecast using ALADIN model in Meteorological and Hydrological Service of Croatia is run operationally since July 2000. Over the years, various methods of validation and verification of the operational forecast have been applied. The classical methods using root mean square error and mean absolute error would often penalize the high resolution ALADIN when compared to a low resolution global model forecast due to double penalty paradigm. Therefore, the model was mostly evaluated by plotting the forecast and the measurements to allow subjective comparison, especially in weather situations that have high impact on the living and traffic conditions in Croatia. Here we show an overview of validation and verification products created operationally. These products intended for subjective validation in real time can help the forecaster in the decision if to rely on a particular forecast run more or less than to another. Statistical verification scores provide information on model bias and root mean square error but suffer from missing data due to automatic procedures used quality check and filtering of the measured data.

Izvorni jezik
Engleski

Znanstvena područja
Geologija



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