On improved Z-R Relation Derived from Czech Distrometer Data
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F23%3A39920248" target="_blank" >RIV/00216275:25530/23:39920248 - isvavai.cz</a>
Výsledek na webu
<a href="https://ieeexplore.ieee.org/document/10221557/references#references" target="_blank" >https://ieeexplore.ieee.org/document/10221557/references#references</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/PIERS59004.2023.10221557" target="_blank" >10.1109/PIERS59004.2023.10221557</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
On improved Z-R Relation Derived from Czech Distrometer Data
Popis výsledku v původním jazyce
The contribution deals with the analysis of DSD (Drop Size Distribution) data measured by the videodistrometer, which is operated by the Institute of the Atmospheric Physics of Czech Academy in Prague.The radar reflectivity factor and rain intensity are precisely calculated from the measured DSDs through pertinent formulas. Using the regression method, we then looked for a power law relation between these quantities, which would better suit the Czech climate conditions than the more general published relationships. After finding a relationship for all DSDs analysed one-minute DSDs, we then classified the rains according to the rain intensity (above and below 5 mm/h). We further categorized rains as the stratiform and convective types. For this, we used 3 criteria that are based on DSD parameters of analytical approximations. We have come to the conclusion that if we know more about the rain (whether it is convective or stratiform), we can determine the approximate relationship between the radar reflectivity factor and the intensity of rain more accurately. After 3 criteria we used, rain categorization appears to be the most accurate according to J. Testud's criterion.
Název v anglickém jazyce
On improved Z-R Relation Derived from Czech Distrometer Data
Popis výsledku anglicky
The contribution deals with the analysis of DSD (Drop Size Distribution) data measured by the videodistrometer, which is operated by the Institute of the Atmospheric Physics of Czech Academy in Prague.The radar reflectivity factor and rain intensity are precisely calculated from the measured DSDs through pertinent formulas. Using the regression method, we then looked for a power law relation between these quantities, which would better suit the Czech climate conditions than the more general published relationships. After finding a relationship for all DSDs analysed one-minute DSDs, we then classified the rains according to the rain intensity (above and below 5 mm/h). We further categorized rains as the stratiform and convective types. For this, we used 3 criteria that are based on DSD parameters of analytical approximations. We have come to the conclusion that if we know more about the rain (whether it is convective or stratiform), we can determine the approximate relationship between the radar reflectivity factor and the intensity of rain more accurately. After 3 criteria we used, rain categorization appears to be the most accurate according to J. Testud's criterion.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20203 - Telecommunications
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
2023 PhotonIcs & Electromagnetics Research Symposium (PIERS) : proceedings
ISBN
979-8-3503-1285-0
ISSN
2831-5790
e-ISSN
2831-5804
Počet stran výsledku
6
Strana od-do
"2156 "- 2160
Název nakladatele
IEEE (Institute of Electrical and Electronics Engineers)
Místo vydání
New York
Místo konání akce
Praha
Datum konání akce
3. 7. 2023
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—