Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Martin Kulmer"'
Autor:
Clemens Wastl, André Simon, Yong Wang, Martin Kulmer, Péter Baár, Gergely Bölöni, Johann Dantinger, Andrea Ehrlich, Antal Fischer, Andreas Frank, Zoltán Heizler, Alexander Kann, Klaus Stadlbacher, Balázs Szintai, Mihály Szűcs, Christoph Wittmann
Publikováno v:
Meteorologische Zeitschrift, Vol 27, Iss 5, Pp 417-430 (2018)
An innovative seamless probabilistic forecasting system has been developed within the EU project PROFORCE (Bridging of PRObabilistic FORecasts and Civil protEction). The system merges four different ensemble prediction systems and provides weather fo
Externí odkaz:
https://doaj.org/article/e6f5a81481ef4eb88214fdfdb18c019c
Autor:
Gergely Boloni, Martin Kulmer, Andreas Frank, Yong Wang, Antal Fischer, Zoltán Heizler, Mihály Szűcs, Andrea Ehrlich, Klaus Stadlbacher, Clemens Wastl, Christoph Wittmann, Péter Baár, André Simon, Johann Dantinger, Alexander Kann, Balázs Szintai
Publikováno v:
Meteorologische Zeitschrift, Vol 27, Iss 5, Pp 417-430 (2018)
An innovative seamless probabilistic forecasting system has been developed within the EU project PROFORCE (Bridging of PRObabilistic FORecasts and Civil protEction). The system merges four different ensemble prediction systems and provides weather fo
Autor:
Benedikt Bica, Aitor Atencia, Alexander Kann, Martin Kulmer, Brigitta Hollosi, Stefan Schneider, Jasmina Hadzimustafic, Yong Wang
The high-resolution INCA system (Integrated Nowcasting through Comprehensive Analysis) provides gridded analyses and short-term forecasts of meteorological fields at a horizontal resolution of 1 km and at 5 to 60 min temporal resolution. After the no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d47d91cc15a9c096b5c2443b9464c47d
https://doi.org/10.5194/egusphere-egu2020-22584
https://doi.org/10.5194/egusphere-egu2020-22584