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Synoptic-climatological evaluation of the classifications of atmospheric circulation patterns over Europe

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F16%3A00521313" target="_blank" >RIV/86652079:_____/16:00521313 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/68378289:_____/16:00455056 RIV/00216208:11310/16:10328677

  • Výsledek na webu

    <a href="https://rmets.onlinelibrary.wiley.com/doi/full/10.1002/joc.4546" target="_blank" >https://rmets.onlinelibrary.wiley.com/doi/full/10.1002/joc.4546</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1002/joc.4546" target="_blank" >10.1002/joc.4546</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Synoptic-climatological evaluation of the classifications of atmospheric circulation patterns over Europe

  • Popis výsledku v původním jazyce

    This study evaluates the classifications of atmospheric circulation patterns collected in the COST733 database (COST733cat) in terms of their ability to stratify daily surface temperature and precipitation in 12 domains covering the whole of Europe. The classifications differ in the classification methods used, in the number of types, the variable(s) classified, the number of days in a sequence that are classified and in whether the classification is based on year-round or seasonal data. Several classification methods that perform fairly well are identified, they include a simple k-means clustering, a k-means clustering preceded by hierarchical cluster analysis, Litynski's method, and a classification based on circulation prototypes. On the other hand, there are a couple of classification methods that do not provide a good stratification of temperature and precipitation: orthogonally and obliquely rotated principal component analysis in a T-mode, Lund's correlation method, Kirchhofer's sums-of-squares method, and Erpicum's method. Some methods tend to perform better on large domains, while others tend to perform better on smaller domains, however, the sensitivity of most classification methods to the domain size appears to be small. Several methods exhibit a geographical dependence of their performance, e.g. the method based on circulation prototypes tends to perform better in the northern domains, while Jenkinson-Collison and Erpicum's methods perform better in the southern domains. Classifications of 4-day sequences are usually better in stratifying surface temperature than ordinary instantaneous classifications, the opposite is true for precipitation. Adding a mid-tropospheric variable (500 hPa heights or 1000/500 hPa thickness) to sea level pressure as a classified variable improves the skill of classifications in stratifying temperature.

  • Název v anglickém jazyce

    Synoptic-climatological evaluation of the classifications of atmospheric circulation patterns over Europe

  • Popis výsledku anglicky

    This study evaluates the classifications of atmospheric circulation patterns collected in the COST733 database (COST733cat) in terms of their ability to stratify daily surface temperature and precipitation in 12 domains covering the whole of Europe. The classifications differ in the classification methods used, in the number of types, the variable(s) classified, the number of days in a sequence that are classified and in whether the classification is based on year-round or seasonal data. Several classification methods that perform fairly well are identified, they include a simple k-means clustering, a k-means clustering preceded by hierarchical cluster analysis, Litynski's method, and a classification based on circulation prototypes. On the other hand, there are a couple of classification methods that do not provide a good stratification of temperature and precipitation: orthogonally and obliquely rotated principal component analysis in a T-mode, Lund's correlation method, Kirchhofer's sums-of-squares method, and Erpicum's method. Some methods tend to perform better on large domains, while others tend to perform better on smaller domains, however, the sensitivity of most classification methods to the domain size appears to be small. Several methods exhibit a geographical dependence of their performance, e.g. the method based on circulation prototypes tends to perform better in the northern domains, while Jenkinson-Collison and Erpicum's methods perform better in the southern domains. Classifications of 4-day sequences are usually better in stratifying surface temperature than ordinary instantaneous classifications, the opposite is true for precipitation. Adding a mid-tropospheric variable (500 hPa heights or 1000/500 hPa thickness) to sea level pressure as a classified variable improves the skill of classifications in stratifying temperature.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10509 - Meteorology and atmospheric sciences

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2016

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    International Journal of Climatology

  • ISSN

    0899-8418

  • e-ISSN

  • Svazek periodika

    36

  • Číslo periodika v rámci svazku

    7

  • Stát vydavatele periodika

    GB - Spojené království Velké Británie a Severního Irska

  • Počet stran výsledku

    17

  • Strana od-do

    2710-2726

  • Kód UT WoS článku

    000377276300004

  • EID výsledku v databázi Scopus