3 research outputs found

    COST 733 - WG4: Applications of weather type classification

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    The main objective of the COST Action 733 is to achieve a general numerical method for assessing, comparing and classifying typical weather situations in the European regions. To accomplish this goal, different workgroups are established, each with their specific aims: WG1: Existing methods and applications (finished); WG2: Implementation and development of weather types classification methods; WG3: Comparison of selected weather types classifications; WG4: Testing methods for various applications. The main task of Workgroup 4 (WG4) in COST 733 implies the testing of the selected weather type methods for various classifications. In more detail, WG4 focuses on the following topics:• Selection of dedicated applications (using results from WG1), • Performance of the selected applications using available weather types provided by WG2, • Intercomparison of the application results as a results of different methods • Final assessment of the results and uncertainties, • Presentation and release of results to the other WGs and external interested • Recommend specifications for a new (common) method WG2 Introduction In order to address these specific aims, various applications are selected and WG4 is divided in subgroups accordingly: 1.Air quality 2. Hydrology (& Climatological mapping) 3. Forest fires 4. Climate change and variability 5. Risks and hazards Simultaneously, the special attention is paid to the several wide topics concerning some other COST Actions such as: phenology (COST725), biometeorology (COST730), agriculture (COST 734) and mesoscale modelling and air pollution (COST728). Sub-groups are established to find advantages and disadvantages of different classification methods for different applications. Focus is given to data requirements, spatial and temporal scale, domain area, specifi

    Clasificación de estructuras en la circulación general atmosférica

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    Ponencia presentada en: III Simposio Nacional de Predicción del Instituto Nacional de Meteorología, celebrado en 1996 en MadridEl problema de la clasificación automática de procesos sinópticos (PS) en la 'región de Europa-Atlántico Norte es abordado mediante una combinación de análisis discriminante y análisis "cluster". Los resultados de una clasificación empírica con seis clases principales son examinados y se encuentra que sólo alrededor del 50% de los casos son reconocidos, utilizando análisis discriminante estándar. Las clases empíricas originales son divididas en subclases mediante "K-mean cluster analysis" aplicado a cada grupo, y como resultado la calidad del esquema de clasificación es mejorado. El nuevo catálogo consiste en diecisiete clases y permite la clasificación correcta de modo automático de alrededor del 78% de los PS
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