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Characteristics of rainfall events in regional climate model simulations for the Czech Republic

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020711%3A_____%2F17%3A00004617" target="_blank" >RIV/00020711:_____/17:00004617 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/68378289:_____/17:00471342 RIV/60460709:41330/17:73565

  • Výsledek na webu

    <a href="https://www.hydrol-earth-syst-sci.net/21/963/2017/" target="_blank" >https://www.hydrol-earth-syst-sci.net/21/963/2017/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5194/hess-21-963-2017" target="_blank" >10.5194/hess-21-963-2017</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Characteristics of rainfall events in regional climate model simulations for the Czech Republic

  • Popis výsledku v původním jazyce

    Characteristics of rainfall events in an ensemble of 23 regional climate model (RCM) simulations are evaluated against observed data in the Czech Republic for the period 1981-2000. Individual rainfall events are identified using the concept of minimum inter-event time (MIT) and only heavy events (15 % of events with the largest event depths) during the warm season (May-September) are considered. . Inasmuch as an RCM grid box represents a spatial average, the effects of areal averaging of rainfall data on characteristics of events are investigated using the observed data. Rainfall events from the RCM simulations are then compared to those from the at-site and area-average observations. Simulated number of heavy events and seasonal total precipitation due to heavy events are on average represented relatively well despite the higher spatial variation compared to observations. RCM-simulated event depths are comparable to the area-average observations, while event durations are overestimated and other characteristics related to rainfall intensity are significantly underestimated. The differences between RCM-simulated and at-site observed rainfall event characteristics are in general dominated by the biases of the climate models rather than the areal-averaging effect. Most of the rainfall event characteristics in the majority of the RCM simulations show a similar altitude-dependence pattern as in the observed data. The number of heavy events and seasonal total precipitation due to heavy events increase with altitude, and this dependence is captured better by the RCM simulations with higher spatial resolution.

  • Název v anglickém jazyce

    Characteristics of rainfall events in regional climate model simulations for the Czech Republic

  • Popis výsledku anglicky

    Characteristics of rainfall events in an ensemble of 23 regional climate model (RCM) simulations are evaluated against observed data in the Czech Republic for the period 1981-2000. Individual rainfall events are identified using the concept of minimum inter-event time (MIT) and only heavy events (15 % of events with the largest event depths) during the warm season (May-September) are considered. . Inasmuch as an RCM grid box represents a spatial average, the effects of areal averaging of rainfall data on characteristics of events are investigated using the observed data. Rainfall events from the RCM simulations are then compared to those from the at-site and area-average observations. Simulated number of heavy events and seasonal total precipitation due to heavy events are on average represented relatively well despite the higher spatial variation compared to observations. RCM-simulated event depths are comparable to the area-average observations, while event durations are overestimated and other characteristics related to rainfall intensity are significantly underestimated. The differences between RCM-simulated and at-site observed rainfall event characteristics are in general dominated by the biases of the climate models rather than the areal-averaging effect. Most of the rainfall event characteristics in the majority of the RCM simulations show a similar altitude-dependence pattern as in the observed data. The number of heavy events and seasonal total precipitation due to heavy events increase with altitude, and this dependence is captured better by the RCM simulations with higher spatial resolution.

Klasifikace

  • Druh

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

  • CEP obor

  • OECD FORD obor

    10500 - Earth and related environmental sciences

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/VG20122015092" target="_blank" >VG20122015092: Erozní smyv - zvýšené riziko ohrožení obyvatel a jakosti vody v souvislosti s očekávanou změnou klimatu</a><br>

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Ostatní

  • Rok uplatnění

    2017

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Hydrology and Earth System Sciences

  • ISSN

    1027-5606

  • e-ISSN

    1607-7938

  • Svazek periodika

    21

  • Číslo periodika v rámci svazku

    2

  • Stát vydavatele periodika

    DE - Spolková republika Německo

  • Počet stran výsledku

    18

  • Strana od-do

    963-980

  • Kód UT WoS článku

    000395162900003

  • EID výsledku v databázi Scopus