Zobrazeno 1 - 10
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pro vyhledávání: '"Prudden, Rachel"'
Downscaling aims to link the behaviour of the atmosphere at fine scales to properties measurable at coarser scales, and has the potential to provide high resolution information at a lower computational and storage cost than numerical simulation alone
Externí odkaz:
http://arxiv.org/abs/2105.08188
Autor:
Ravuri, Suman, Lenc, Karel, Willson, Matthew, Kangin, Dmitry, Lam, Remi, Mirowski, Piotr, Fitzsimons, Megan, Athanassiadou, Maria, Kashem, Sheleem, Madge, Sam, Prudden, Rachel, Mandhane, Amol, Clark, Aidan, Brock, Andrew, Simonyan, Karen, Hadsell, Raia, Robinson, Niall, Clancy, Ellen, Arribas, Alberto, Mohamed, Shakir
Precipitation nowcasting, the high-resolution forecasting of precipitation up to two hours ahead, supports the real-world socio-economic needs of many sectors reliant on weather-dependent decision-making. State-of-the-art operational nowcasting metho
Externí odkaz:
http://arxiv.org/abs/2104.00954
Autor:
Prudden, Rachel, Adams, Samantha, Kangin, Dmitry, Robinson, Niall, Ravuri, Suman, Mohamed, Shakir, Arribas, Alberto
A 'nowcast' is a type of weather forecast which makes predictions in the very short term, typically less than two hours - a period in which traditional numerical weather prediction can be limited. This type of weather prediction has important applica
Externí odkaz:
http://arxiv.org/abs/2005.04988
Autor:
Kretschmer, Marlene, Adams, Samantha V., Arribas, Alberto, Prudden, Rachel, Robinson, Niall, Saggioro, Elena, Shepherd, Theodore G.
Publikováno v:
Bulletin of the American Meteorological Society, 2021 Dec 01. 102(12), E2247-E2263.
Externí odkaz:
https://www.jstor.org/stable/27208155
Datasets representing the world around us are becoming ever more unwieldy as data volumes grow. This is largely due to increased measurement and modelling resolution, but the problem is often exacerbated when data are stored at spuriously high precis
Externí odkaz:
http://arxiv.org/abs/1604.03688
Autor:
Blair, Gordon S., Bassett, Richard, Bastin, Lucy, Beevers, Lindsay, Borrajo, Maribel Isabel, Brown, Mike, Dance, Sarah L., Dionescu, Ada, Edwards, Liz, Ferrario, Maria Angela, Fraser, Rob, Fraser, Harriet, Gardner, Simon, Henrys, Peter, Hey, Tony, Homann, Stuart, Huijbers, Chantal, Hutchison, James, Jonathan, Phil, Lamb, Rob, Laurie, Sophie, Leeson, Amber, Leslie, David, McMillan, Malcolm, Nundloll, Vatsala, Oyebamiji, Oluwole, Phillipson, Jordan, Pope, Vicky, Prudden, Rachel, Reis, Stefan, Salama, Maria, Samreen, Faiza, Sejdinovic, Dino, Simm, Will, Street, Roger, Thornton, Lauren, Towe, Ross, Hey, Joshua Vande, Vieno, Massimo, Waller, Joanne, Watkins, John
Publikováno v:
In Patterns 8 January 2021 2(1)
Publikováno v:
Bulletin of the American Meteorological Society, 2017 Nov 01. 98(11), 2280-2283.
Externí odkaz:
https://www.jstor.org/stable/26396320
Autor:
Hardiman, Steven C, Scaife, Adam A, van Niekerk, Annelize, Prudden, Rachel, Owen, Aled, Adams, Samantha V, Dunstan, Tom, Dunstone, Nick J
Python code and data to reproduce the figures in the journal article "Machine learning for non-orographic gravity waves in a climate model". Please cite this paper if you use these data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c4af5d0e1b213d23084519ef8cf206a
Akademický článek
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Autor:
Prudden, Rachel1 (AUTHOR) rachel.prudden@informaticslab.co.uk
Publikováno v:
Geophysical Research Abstracts. 2019, Vol. 21, p1-1. 1p.