Sub-daily temporal reconstruction of extreme precipitation events using NWP model simulations
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F19%3A00503635" target="_blank" >RIV/68378289:_____/19:00503635 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216208:11310/19:10398768
Výsledek na webu
<a href="https://www.sciencedirect.com/science/article/pii/S016980951830886X?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S016980951830886X?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.atmosres.2019.03.019" target="_blank" >10.1016/j.atmosres.2019.03.019</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Sub-daily temporal reconstruction of extreme precipitation events using NWP model simulations
Popis výsledku v původním jazyce
An alternative correction procedure for a posteriori improvement of quantitative precipitation re-forecast generated by a numerical weather prediction (NWP) model COSMO in a high temporal resolution is presented. The main motivation is to provide reliable precipitation re-analyses from the NWP model, which will enable a more detailed analysis of historical extreme precipitation events (EPEs). The procedure adjusts the model precipitation sums by daily rain gauge measurements and corrects the localization of 10-min model precipitation totals based on the highest correlation coefficient between the 24-h model and observed precipitation sums. The results show that the NWP model COSMO usually well predicts the occurrence of EPEs, but its spatial localization is not always accurate. This is usually a case of more localized convective precipitation, where the impact of the applied correction procedure is the most evident. A detailed temporal analysis including a calculation of correlation coefficient and Fractions Skill Score also confirmed that the re-forecast improvement is observed in a time when the highest precipitation within a given EPE occurs. Beyond this time, the effect of the correction is insignificant. In contrast, the impact of the correction is rather negligible in case the NWP model correctly locates precipitation re-forecast because uncorrected and corrected re-forecasts are very similar. Although the results stem from the seven selected EPEs only, the study provides a general performance of the proposed method and indicates that the method can be applied to historical EPEs, for which no weather radar data are available, to obtain their more accurate sub-daily temporal reconstruction.
Název v anglickém jazyce
Sub-daily temporal reconstruction of extreme precipitation events using NWP model simulations
Popis výsledku anglicky
An alternative correction procedure for a posteriori improvement of quantitative precipitation re-forecast generated by a numerical weather prediction (NWP) model COSMO in a high temporal resolution is presented. The main motivation is to provide reliable precipitation re-analyses from the NWP model, which will enable a more detailed analysis of historical extreme precipitation events (EPEs). The procedure adjusts the model precipitation sums by daily rain gauge measurements and corrects the localization of 10-min model precipitation totals based on the highest correlation coefficient between the 24-h model and observed precipitation sums. The results show that the NWP model COSMO usually well predicts the occurrence of EPEs, but its spatial localization is not always accurate. This is usually a case of more localized convective precipitation, where the impact of the applied correction procedure is the most evident. A detailed temporal analysis including a calculation of correlation coefficient and Fractions Skill Score also confirmed that the re-forecast improvement is observed in a time when the highest precipitation within a given EPE occurs. Beyond this time, the effect of the correction is insignificant. In contrast, the impact of the correction is rather negligible in case the NWP model correctly locates precipitation re-forecast because uncorrected and corrected re-forecasts are very similar. Although the results stem from the seven selected EPEs only, the study provides a general performance of the proposed method and indicates that the method can be applied to historical EPEs, for which no weather radar data are available, to obtain their more accurate sub-daily temporal reconstruction.
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
<a href="/cs/project/GA17-23773S" target="_blank" >GA17-23773S: Extremita a prediktabilita srážkových událostí v závislosti na jejich vlastnostech a podmínkách v atmosféře</a><br>
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Atmospheric Research
ISSN
0169-8095
e-ISSN
—
Svazek periodika
224
Číslo periodika v rámci svazku
1 August
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
16
Strana od-do
65-80
Kód UT WoS článku
000466256500006
EID výsledku v databázi Scopus
2-s2.0-85063147240