Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Fabian Lehner"'
Autor:
Herbert Formayer, Imran Nadeem, David Leidinger, Philipp Maier, Franziska Schöniger, Demet Suna, Gustav Resch, Gerhard Totschnig, Fabian Lehner
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-11 (2023)
Abstract The modelling of electricity production and demand requires highly specific and comprehensive meteorological data. One challenge is the high temporal frequency as electricity production and demand modelling typically is done with hourly data
Externí odkaz:
https://doaj.org/article/1e8fbfdd044d4427925ca0352e2fef3a
Daily meteorological data such as temperature or precipitation from climate models are needed for many climate impact studies, e.g., in hydrology or agriculture, but direct model output can contain large systematic errors. A large variety of methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16858b0241280ed2207e032b6d55dff7
https://ascmo.copernicus.org/articles/9/29/2023/
https://ascmo.copernicus.org/articles/9/29/2023/
Im Zuge des Klimawandels ändern sich die Baumarten, die für das jeweilige Klima als passend angesehen werden ("Klimafitter Wald"). Da für die Eignung der Baumarten die Klimatologie relevant ist, braucht es eine Vielzahl an meteorologischen Daten i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a573ded7540d035076198765eddde84
https://doi.org/10.5194/dach2022-250
https://doi.org/10.5194/dach2022-250
Daily meteorological data such as temperature or precipitation from climate models is needed for many climate impact studies, e.g. in hydrology or agriculture but direct model output can contain large systematic errors. Thus, statistical bias adjustm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fccea97e9c17d6c8a04b8df3a0becd46
https://hess.copernicus.org/preprints/hess-2021-498/
https://hess.copernicus.org/preprints/hess-2021-498/
Daily meteorological data from climate models is needed for many climate impact studies, e.g. in hydrology or agriculture but direct model output can contain large systematic errors. Thus, statistical bias correcting is applied to correct the raw mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0670a1d4df40bb8561851bf02f70cc2
https://doi.org/10.5194/hess-2020-515
https://doi.org/10.5194/hess-2020-515
Autor:
Fabian Lehner, Pietro Giovanoli, Holger J. Klein, Riccardo Schweizer, Matthias Waldner, Nina Fuchs, Jan A. Plock, Pranitha Kamat, Branislav Kollar
Publikováno v:
Transplantation. 104:S103-S103
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::763524b1f4164fd4c98847e71998eaa6
https://doi.org/10.1097/01.tp.0000698784.89796.8f
https://doi.org/10.1097/01.tp.0000698784.89796.8f