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

The result's identifiers

  • Result code in 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>

  • Alternative codes found

    RIV/62156489:43210/16:43910868

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.).

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    DA - Hydrology and limnology

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Climate Research

  • ISSN

    0936-577X

  • e-ISSN

  • Volume of the periodical

    70

  • Issue of the periodical within the volume

    2-3

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    15

  • Pages from-to

    179-193

  • UT code for WoS article

    000388194400007

  • EID of the result in the Scopus database