Merging independent networks of commercial microwave links from the Czech Republic and Germany to generate transboundary rainfall fields
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F22%3A00365911" target="_blank" >RIV/68407700:21110/22:00365911 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.5194/ems2022-186" target="_blank" >https://doi.org/10.5194/ems2022-186</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5194/ems2022-186" target="_blank" >10.5194/ems2022-186</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Merging independent networks of commercial microwave links from the Czech Republic and Germany to generate transboundary rainfall fields
Popis výsledku v původním jazyce
In this study we merge data sets of 3900 CMLs in Germany and 2500 CMLs in the Czech Republic that are obtained from different network operators and have distinct lengths and frequencies distributions. We develop and adjust universal processing algorithms, and calculate transboundary rainfall fields. Our focus lies on producing and analyzing maps for the mountainous border region where radar observations particularly suffer from the large measuring height above ground. We analyze a period of one month in summer 2021 which contains several rainfall events. For evaluation we compare our results with German and Czech national radar and rain gauge observations.
Název v anglickém jazyce
Merging independent networks of commercial microwave links from the Czech Republic and Germany to generate transboundary rainfall fields
Popis výsledku anglicky
In this study we merge data sets of 3900 CMLs in Germany and 2500 CMLs in the Czech Republic that are obtained from different network operators and have distinct lengths and frequencies distributions. We develop and adjust universal processing algorithms, and calculate transboundary rainfall fields. Our focus lies on producing and analyzing maps for the mountainous border region where radar observations particularly suffer from the large measuring height above ground. We analyze a period of one month in summer 2021 which contains several rainfall events. For evaluation we compare our results with German and Czech national radar and rain gauge observations.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
—
OECD FORD obor
10509 - Meteorology and atmospheric sciences
Návaznosti výsledku
Projekt
<a href="/cs/project/GC20-14151J" target="_blank" >GC20-14151J: Plošné srážkové odhady kombinující pozorování z mikrovlnných spojů a statistickou asimilaci dat (SpraiLINK)</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů