Czech-German transboundary rainfall fields generated from two independent networks of commercial microwave links
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F22%3A00365909" target="_blank" >RIV/68407700:21110/22:00365909 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.5194/egusphere-egu22-11292" target="_blank" >https://doi.org/10.5194/egusphere-egu22-11292</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5194/egusphere-egu22-11292" target="_blank" >10.5194/egusphere-egu22-11292</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Czech-German transboundary rainfall fields generated from two independent networks of commercial microwave links
Popis výsledku v původním jazyce
In the proposed study we process large CML data sets from Germany and the Czech Republic and, for the first time, generate transboundary rainfall maps. We work with unique data sets from two independent data acquisition systems which are successfully merged into one rainfall product. The CML product covers the whole of Germany and the western part of Czech Republic including border mountain regions where radar products are affected by ground clutter and rain gauge networks are sparse. We analyze 1-min observations of 4000 CMLs in Germany and 2500 CMLs in the Czech Republic during summer period 2021, which contains periods of heavy rainfalls as well as clear dry-weather intervals. The resulting rainfall maps are compared with gauge and radar observations.
Název v anglickém jazyce
Czech-German transboundary rainfall fields generated from two independent networks of commercial microwave links
Popis výsledku anglicky
In the proposed study we process large CML data sets from Germany and the Czech Republic and, for the first time, generate transboundary rainfall maps. We work with unique data sets from two independent data acquisition systems which are successfully merged into one rainfall product. The CML product covers the whole of Germany and the western part of Czech Republic including border mountain regions where radar products are affected by ground clutter and rain gauge networks are sparse. We analyze 1-min observations of 4000 CMLs in Germany and 2500 CMLs in the Czech Republic during summer period 2021, which contains periods of heavy rainfalls as well as clear dry-weather intervals. The resulting rainfall maps are compared with gauge and radar 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