Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Monika Feldmann"'
Publikováno v:
npj Climate and Atmospheric Science, Vol 6, Iss 1, Pp 1-11 (2023)
Abstract The behaviour of severe thunderstorms, particularly supercells, in complex terrain is still poorly understood. Utilising 6 years of radar-, lightning- and radiosounding-based thunderstorm data in the domain of the Swiss radar network, we stu
Externí odkaz:
https://doaj.org/article/8b9bddf7c54b4d27ad75321c1cb73cfd
While supercell thunderstorms are one of the most severe convective phenomena, their behavior in complex terrain is still poorly understood. Observational studies in the Southern Alps have revealed local supercell "hotspots" associated with valleys w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52c191d7250b7037ee82c2fae841a3b0
https://doi.org/10.5194/ecss2023-51
https://doi.org/10.5194/ecss2023-51
Autor:
Alexis Berne, Daniel Leuenberger, Monika Feldmann, Curtis N. James, Urs Germann, Marco Gabella, Daniel Wolfensberger, Marco Boscacci
Publikováno v:
Journal of Atmospheric and Oceanic Technology. 37:2341-2356
Region-based Recursive Doppler Dealiasing (R2D2) is a novel dealiasing algorithm to unfold Doppler velocity fields obtained by operational radar measurements. It specializes in resolving issues when the magnitude of the gate-to-gate velocity shear ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::491e9fcdfaed300170e644e08822e895
https://doi.org/10.1175/jtech-d-20-0054.1
https://doi.org/10.1175/jtech-d-20-0054.1
Utilizing six years of radar-based thunderstorm data in the Swiss radar domain, we classify these as regular thunderstorms, hailstorms, severe hailstorms and mesocyclonic storms.After identifying the overlaps between hailstorms and mesocyclones, thei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e909343eba1bae8e6ab698db804bdce8
https://doi.org/10.5194/egusphere-egu22-6132
https://doi.org/10.5194/egusphere-egu22-6132
Publikováno v:
Journal of Applied Meteorology and Climatology. 58:1853-1866
Tropical cyclones pose a significant flood risk to vast land regions in their path because of extreme precipitation. Thus it is imperative to quantitatively assess this risk. This study compares exceedance frequencies of tropical cyclone precipitatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cd04023486aef42a3ca17da3f218fa3
https://doi.org/10.1175/jamc-d-19-0011.1
https://doi.org/10.1175/jamc-d-19-0011.1
Persistent rotation is a strong indicator of severe weather hazards in convective storms. This work presents a multi-year record of mesocyclonic rotation tracks derived from archived operational radar data in Switzerland. In addition to the general o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48b1e6536d06236aed6b9a4615be22d6
https://doi.org/10.5194/egusphere-egu21-5166
https://doi.org/10.5194/egusphere-egu21-5166
Publikováno v:
Atmospheric Chemistry and Physics, 17 (7)
Atmospheric Chemistry and Physics, Vol 17, Iss 7, Pp 4871-4885 (2017)
Atmospheric Chemistry and Physics, Vol 17, Iss 7, Pp 4871-4885 (2017)
The complex microphysical details of cirrus seeding with ice nucleating particles (INPs) in numerical simulations are often mimicked by increasing ice crystal sedimentation velocities. So far it has not been tested whether these results are comparabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e06ac137746eddbda0162c15f299963
https://hdl.handle.net/20.500.11850/130794
https://hdl.handle.net/20.500.11850/130794
Publikováno v:
Weather and Climate Dynamics, Vol 2, Pp 1225-1244 (2021)
This work presents a characterisation of mesocyclone occurrence and frequency in the Alpine region, as observed from the Swiss operational radar network; 5 years of radar data are processed with a thunderstorm detection and tracking algorithm and sub
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cadee26918d692d7753ac28fb3b6734
https://infoscience.epfl.ch/record/291519
https://infoscience.epfl.ch/record/291519