Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Lawrence, Bryan N."'
Autor:
Hoefler, Torsten, Stevens, Bjorn, Prein, Andreas F., Baehr, Johanna, Schulthess, Thomas, Stocker, Thomas F., Taylor, John, Klocke, Daniel, Manninen, Pekka, Forster, Piers M., Kölling, Tobias, Gruber, Nicolas, Anzt, Hartwig, Frauen, Claudia, Ziemen, Florian, Klöwer, Milan, Kashinath, Karthik, Schär, Christoph, Fuhrer, Oliver, Lawrence, Bryan N.
Participants of the Berlin Summit on Earth Virtualization Engines (EVEs) discussed ideas and concepts to improve our ability to cope with climate change. EVEs aim to provide interactive and accessible climate simulations and data for a wide range of
Externí odkaz:
http://arxiv.org/abs/2309.09002
Autor:
Lawrence, Bryan N.
Data from a number of sources are used to examine the climatology of the southern hemisphere middle atmosphere. The stratospheric data used are winds and higher order quantities derived from stratospheric analyses provided by the U.S. National Metero
Externí odkaz:
http://hdl.handle.net/10092/7978
Autor:
Jones, Colin Gareth, Adloff, Fanny, Booth, Ben, Cox, Peter, Eyring, Veronika, Friedlingstein, Pierre, Frieler, Katja, Hewitt, Helene, Jeffery, Hazel, Joussaume, Sylvie, Koenigk, Torben, Lawrence, Bryan N., O'Rourke, Eleanor, Roberts, Malcolm, Sanderson, Benjamin, Séférian, Roland, Somot, Samuel, Vidale, Pier-Luigi, Vuuren, Detlef van, Acosta, Mario
Publikováno v:
EGUsphere; 2/19/2024, p1-37, 37p
Akademický článek
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Autor:
Pascoe, Charlotte1,2 (AUTHOR) charlotte.pascoe@ncas.ac.uk, Lawrence, Bryan N.1,3 (AUTHOR), Guilyardi, Eric1,4 (AUTHOR), Juckes, Martin1,2 (AUTHOR), Taylor, Karl E.5 (AUTHOR)
Publikováno v:
Geoscientific Model Development. 2020, Vol. 13 Issue 5, p2149-2167. 19p.
Autor:
Hallouin, Thibault, Ellis, Richard J., Clark, Douglas B., Dadson, Simon J., Hughes, Andrew G., Lawrence, Bryan N., Lister, Grenville M. S., Polcher, Jan
Publikováno v:
Geoscientific Model Development Discussions; 12/16/2021, p1-30, 30p
Autor:
Lawrence, Bryan N., Kunkel, Julian M.
The data volumes produced by simulation and observation are large, and becoming larger. In the case of simulation, plans for future modelling programmes require complicated orchestration of data, and anticipate large user communities. "Download and w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad38da6739b85392a9d4a8eb1438a99c
The mission of the Centre for Environmental Archival (CEDA) is to deliver long term curation of scientifically important environmental data at the same time as facilitating the use of data by the environmental science community. CEDA was established
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43645101723ea87261686636e7f22134