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Projection of drought-inducing climate conditions in the Czech Republic according to Euro-CORDEX models

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F16%3A00464794" target="_blank" >RIV/86652079:_____/16:00464794 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/62156489:43210/16:43910868

  • Výsledek na webu

    <a href="http://dx.doi.org/10.3354/cr01424" target="_blank" >http://dx.doi.org/10.3354/cr01424</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3354/cr01424" target="_blank" >10.3354/cr01424</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Projection of drought-inducing climate conditions in the Czech Republic according to Euro-CORDEX models

  • Popis výsledku v původním jazyce

    The end of the 20th century and the beginning of the 21st century in the CzechnRepublic were characterized by frequent extreme water cycle fluctuations, i.e. the occurrence ofnincreased incidences of flood and drought events. Drought occurs irregularly in the Czech Republicnduring periods with low precipitation amounts. The most noteworthy droughts with significantnimpact, especially to agriculture, occurred in the years 2000, 2003, 2007, 2009, 2012, 2014 andn2015. A significant increase in frequency and length of drought periods was detected in future climatenprojections based on the latest model outputs, such as from the Euro-CORDEX 0.11° resolutionsnfor the European area. For these model experiments, the following greenhouse gas emissionsnscenarios were used: Representative Concentration Pathway (RCP) 4.5 (milder scenario) andnRCP8.5 (pessimistic scenario). Since the climate models suffer from potentially severe biases, it isnnecessary to statistically correct their outputs. For this purpose, a suitable reference dataset wasnprepared, based on quality-controlled, homogenized and gap-filled station time series. The correctionnmethod applied was based on variable correction using individual percentiles. From thencorrected model outputs, selected extreme indexes with respect to drought analysis were calculated.nFrom the results, it follows that we can expect both an increase in air temperature and innprecipitation (with increased amounts per event), as well as an increase in other extremes with thencapability of inducing drought (number of tropical days, heat waves, etc.).

  • Název v anglickém jazyce

    Projection of drought-inducing climate conditions in the Czech Republic according to Euro-CORDEX models

  • Popis výsledku anglicky

    The end of the 20th century and the beginning of the 21st century in the CzechnRepublic were characterized by frequent extreme water cycle fluctuations, i.e. the occurrence ofnincreased incidences of flood and drought events. Drought occurs irregularly in the Czech Republicnduring periods with low precipitation amounts. The most noteworthy droughts with significantnimpact, especially to agriculture, occurred in the years 2000, 2003, 2007, 2009, 2012, 2014 andn2015. A significant increase in frequency and length of drought periods was detected in future climatenprojections based on the latest model outputs, such as from the Euro-CORDEX 0.11° resolutionsnfor the European area. For these model experiments, the following greenhouse gas emissionsnscenarios were used: Representative Concentration Pathway (RCP) 4.5 (milder scenario) andnRCP8.5 (pessimistic scenario). Since the climate models suffer from potentially severe biases, it isnnecessary to statistically correct their outputs. For this purpose, a suitable reference dataset wasnprepared, based on quality-controlled, homogenized and gap-filled station time series. The correctionnmethod applied was based on variable correction using individual percentiles. From thencorrected model outputs, selected extreme indexes with respect to drought analysis were calculated.nFrom the results, it follows that we can expect both an increase in air temperature and innprecipitation (with increased amounts per event), as well as an increase in other extremes with thencapability of inducing drought (number of tropical days, heat waves, etc.).

Klasifikace

  • Druh

    J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

  • CEP obor

    DA - Hydrologie a limnologie

  • OECD FORD obor

Návaznosti výsledku

  • Projekt

    Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

  • 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

    Climate Research

  • ISSN

    0936-577X

  • e-ISSN

  • Svazek periodika

    70

  • Číslo periodika v rámci svazku

    2-3

  • Stát vydavatele periodika

    DE - Spolková republika Německo

  • Počet stran výsledku

    15

  • Strana od-do

    179-193

  • Kód UT WoS článku

    000388194400007

  • EID výsledku v databázi Scopus