Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Nina Horat"'
Autor:
Jonas Bhend, Jonathan Demaeyer, Sebastian Lerch, Cristina Primo, Bert Van Schaeybroeck, Aitor Atencia, Zied Ben Bouallègue, Jieyu Chen, Markus Dabernig, Gavin Evans, Jana Faganeli Pucer, Ben Hooper, Nina Horat, David Jobst, Janko Merše, Peter Mlakar, Annette Möller, Olivier Mestre, Maxime Taillardat, Stéphane Vannitsem
Statistical postprocessing of forecasts from numerical weather prediction systems is an important component of modern weather forecasting systems. A growing variety of postprocessing methods has been proposed, but a comprehensive, community-driven co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b01e94cfa3f237dd17f50dde75ee6d30
https://doi.org/10.5194/egusphere-egu23-9328
https://doi.org/10.5194/egusphere-egu23-9328
Autor:
Jonathan Demaeyer, jonas Bhend, Sebastian Lerch, Cristina Primo, Bert Van Schaeybroeck, Aitor Atencia, Zied Ben Bouallègue, Jieyu Chen, Markus Dabernig, Gavin Evans, Jana Faganeli Pucer, Ben Hooper, Nina Horat, David Jobst, Janko Merše, Peter Mlakar, Annette Möller, Olivier Mestre, Maxime Taillardat, Stéphane Vannitsem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffe14bfa90fe34851d398db8b5fdfbdc
https://doi.org/10.5194/essd-2022-465-supplement
https://doi.org/10.5194/essd-2022-465-supplement
Autor:
Jonathan Demaeyer, jonas Bhend, Sebastian Lerch, Cristina Primo, Bert Van Schaeybroeck, Aitor Atencia, Zied Ben Bouallègue, Jieyu Chen, Markus Dabernig, Gavin Evans, Jana Faganeli Pucer, Ben Hooper, Nina Horat, David Jobst, Janko Merše, Peter Mlakar, Annette Möller, Olivier Mestre, Maxime Taillardat, Stéphane Vannitsem
Statistical postprocessing of medium-range weather forecasts is an important component of modern forecasting systems. Since the beginning of modern data science, numerous new postprocessing methods have been proposed, complementing an already very di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b6efdafe1d36885be41b79f4c0fa6a3
https://doi.org/10.5194/essd-2022-465
https://doi.org/10.5194/essd-2022-465
Autor:
Nina Horat, Sebastian Lerch
Reliable sub-seasonal forecasts for precipitation and temperature are crucial to many sectors including agriculture, public health and renewable energy production. Since the forecast skill of numerical weather forecasts for lead times beyond two week
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bab4852c6b5e63fcf9d408c8223a459
https://doi.org/10.5194/egusphere-egu22-920
https://doi.org/10.5194/egusphere-egu22-920