scholarly journals Temporal and spatial variability of spring precipitation in the Czech Republic

2021 ◽  
Author(s):  
Lucie Pokorná ◽  
Zuzana Rulfová ◽  
Jindřiška Kuchyňková

<p>Spring precipitation is a key factor determining vegetation growth and strongly affecting soil moisture in spring and summer. Whilst winter precipitation and snow cover as well as summer convective precipitation are frequently researched, only little attention is given to spring precipitation and its temporal variation.</p><p>In this contribution we focus on March, April and May daily precipitation at 72 station in the Czechia over 1980-2016. The temporal and spatial variability of precipitation totals, number of wet and dry days and periods is discussed in detail. The altitudes of the stations range from 158 to 1302 m a. s. l. and the mean spring precipitation totals vary from 104 to 327 mm. The highest mean number of dry days (more than 70) is reached at four stations elevated from 241 to 474 m a. s. l.  whilst the lowest number (less than 54) occurs at two stations above 1 km but also at one station in 740 m a. s. l. The duration of severe dry spells is not linked to altitude, either. The longest 43-days dry spell occurred at almost all stations up to 880 m a. s. l. No common trend of precipitation totals as well as dry or wet days exists over the area in studied period.</p><p>The analysis indicate that spring precipitation characteristics are rather related to surrounding and position of station with regard to prevailing flow direction than altitude. The hierarchical cluster analysis based on seasonal and monthly precipitation totals, number of wet and dry days, number and duration of wet and dry periods, trends of wet and dry days number and several other characteristics separated individual stations into 4 groups. Except the groups of lowland dry and mountain wet stations, the group associated low elevated wet stations on windward mountain sides and the other one with high elevated dry stations were created.</p>

2006 ◽  
Vol 26 (3) ◽  
pp. 351-362 ◽  
Author(s):  
T.J. Tolhurst ◽  
E.C. Defew ◽  
J.F.C. de Brouwer ◽  
K. Wolfstein ◽  
L.J. Stal ◽  
...  

2014 ◽  
Vol 11 (10) ◽  
pp. 11605-11636
Author(s):  
A. Kann ◽  
I. Meirold-Mautner ◽  
F. Schmid ◽  
G. Kirchengast ◽  
J. Fuchsberger

Abstract. The ability of radar-rain gauge merging algorithms to precisely analyse convective precipitation patterns is of high interest for many applications, e.g. hydrological modelling. However, due to drawbacks of methods like cross-validation and due to the limited availability of reference datasets on high temporal and spatial scale, an adequate validation is usually hardly possible, especially on an operational basis. The present study evaluates the skill of very high resolution and frequently updated precipitation analyses (rapid-INCA) by means of a very dense station network (WegenerNet), operated in a limited domain of the south-eastern parts of Austria (Styria). Based on case studies and a longer term validation over the convective season 2011, a general underestimation of the rapid-INCA precipitation amounts is shown, although the temporal and spatial variability of the errors is – by convective nature – high. The contribution of the rain gauge measurements to the analysis skill is crucial. However, the capability of the analyses to precisely assess the convective precipitation distribution predominantly depends on the representativeness of the stations under the prevalent convective condition.


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