Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Simon T. K. Lang"'
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 147:1364-1381
Autor:
Mohamed Dahoui, J. Farnan, Elías Hólm, Patrick Laloyaux, Sean Healy, Simon T. K. Lang, Massimo Bonavita
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 146:2392-2409
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 145:75-89
The Stochastically Perturbed Parametrization Tendencies (SPPT) scheme is used in ensemble forecast systems to represent uncertainties due to the atmospheric physics parametrizations. The scheme works by introducing random perturbations to the tendenc
Autor:
Tony McNally, Andrew Brown, Simon T. K. Lang, Frederic Vitart, David S. Richardson, G. De Chiara, Sylvie Malardel, Fernando Prates, Philip Browne, Mohamed Dahoui, Jean Bidlot, Florian Pappenberger, Massimo Bonavita, Linus Magnusson, Florence Rabier, Kristian Mogensen
Publikováno v:
Bulletin of the American Meteorological Society. 100:445-458
Tropical cyclones are some of the most devastating natural hazards and the “three beasts”—Harvey, Irma, and Maria—during the Atlantic hurricane season 2017 are recent examples. The European Centre for Medium-Range Weather Forecasts (ECMWF) is
Autor:
Glenn Carver, Lauri Tuppi, Madeleine Ekblom, Heikki Järvinen, Simon T. K. Lang, Pirkka Ollinaho
Publikováno v:
Geoscientific Model Development, Vol 14, Pp 2143-2160 (2021)
Ensemble prediction is an indispensable tool in modern numerical weather prediction (NWP). Due to its complex data flow, global medium-range ensemble prediction has almost exclusively been carried out by operational weather agencies to date. Thus, it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc36981e006db8917e0481f6ca5be55e
http://hdl.handle.net/10138/332068
http://hdl.handle.net/10138/332068
Most of the precipitation formation in extratropical cyclones occurs in the warm sector along an elongated air stream ahead of the cold front - the so-called warm conveyor belt (WCB). The WCB ascends slantwise from the planetary boundary layer into t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8b7a7a1410c97781fc24f23cf8003c0
https://doi.org/10.5194/egusphere-egu21-9397
https://doi.org/10.5194/egusphere-egu21-9397
This talk focusses on progress in ensemble forecasting methodology (Part I) and ensemble verification methodology (Part II).Operational ECMWF ensemble forecasts are global predictions from days to months ahead. At all forecast ranges, model uncertain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::123d37d81b1dd6d930fca1c59a971d52
https://doi.org/10.5194/egusphere-egu21-108
https://doi.org/10.5194/egusphere-egu21-108
Autor:
Tim Palmer, Simon T. K. Lang, Martin Leutbecher, Fernando Prates, Michail Diamantakis, Irina Sandu, Andrew Dawson, Nils Wedi, Peter Dueben, Samuel Hatfield, Christopher D. Roberts
Publikováno v:
Quarterly Journal of the Royal Meteorological Society
Autor:
Zak Kipling, Richard Engelen, Anna Agusti-Panareda, Gianpaolo Balsamo, Andrew Dawson, Nicolas Bousserez, Joe McNorton, Margarita Choulga, Simon T. K. Lang
Atmospheric flux inversions use observations of atmospheric CO2 to provide anthropogenic and biogenic CO2 flux estimates at a range of spatio-temporal scales. Inversions require prior flux, a forward model and observation errors to estimate posterior
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f67799cdd038707887ad261d0edf205
https://doi.org/10.5194/gmd-2019-314
https://doi.org/10.5194/gmd-2019-314
Autor:
Martin Leutbecher, Filip Váňa, Deborah Salmond, Peter Düben, Tim Palmer, Simon T. K. Lang, Glenn Carver
Earth’s climate is a nonlinear dynamical system with scale-dependent Lyapunov exponents. As such, an important theoretical question for modeling weather and climate is how much real information is carried in a model’s physical variables as a func
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ead31c0fb77f34ac74e78d516ca3f2d
https://doi.org/10.1175/mwr-d-16-0228.1
https://doi.org/10.1175/mwr-d-16-0228.1