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
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