Zobrazeno 1 - 10
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pro vyhledávání: '"Dominik Büeler"'
Extreme stratospheric polar vortex events, such as sudden stratospheric warmings (SSW) or extremely strong polar vortex (SPV) states, can have a prolonged downward impact, influencing surface weather for several weeks to months. These events often le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce0402fa243f7646696093d2a4d836ba
https://doi.org/10.5194/egusphere-egu23-553
https://doi.org/10.5194/egusphere-egu23-553
Autor:
Hilla Afargan-Gerstman, Dominik Büeler, C. Ole Wulff, Michael Sprenger, Daniela I. V. Domeisen
Extreme stratospheric polar vortex events, such as sudden stratospheric warmings (SSW) or extremely strong polar vortex (SPV) states, can have a prolonged downward impact influencing surface weather for several weeks to months. SSWs are most often as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61dcf2c3df8ce5488021c5e386d376b5
https://doi.org/10.5194/wcd-2022-58
https://doi.org/10.5194/wcd-2022-58
Variability of the large-scale atmospheric circulation in the midlatitudes is characterised by transient extratropical Rossby waves and stationary patterns, such as blocking anticyclones. On sub-seasonal time scales, the extratropical variability can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dce576f357c3eac7c68cb557d806b0d
https://doi.org/10.5194/ems2022-226
https://doi.org/10.5194/ems2022-226
Extratropical cyclones strongly interact with the midlatitude waveguide and can thus actively influence onset, maintenance, and decay of large-scale weather regimes on sub-seasonal timescales (10 – 60 days). For instance, individual cyclones over t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b818775833a0b9315f3df37b7ca1ad5
https://doi.org/10.5194/ems2022-355
https://doi.org/10.5194/ems2022-355
Autor:
Ana María García-Solórzano, Diego Pons, Ángel G. Muñoz, Francisco C. Vasconcelos, Xandre Chourio, Dirceu S. Reis, Kamoru A. Lawal, David MacLeod, Carmen González Romero, Ilaria Vigo, Fredrik Wetterhall, Nachiketa Acharya, Andrew W. Robertson, Daniela I. V. Domeisen, Kjeld Jensen, Ahmed A. Balogun, James S. Risbey, Donald J. C. Robertson, Mary Kilavi, Elijah A. Adefisan, Douglas Bertram, Isadora Christel, Christian M. Grams, Eduardo Sávio Passos Rodrigues Martins, Ilias Pechlivanidis, Tomas A. Remenyi, David J. Brayshaw, Martin C. Todd, Richard Graham, W. T. Katty Huang, Luca Delle Monache, Stefan Smith, F. Martin Ralph, Christopher J. White, Michael L. Anderson, Carolyn J. Maxwell, Francesca Di Giuseppe, Andrea Manrique-Suñén, Robert G. Wilson, Ting Sun, John A. Oyedepo, George Otieno, Eniola Olaniyan, Peter B. Gibson, Andrew Charlton-Perez, Michael J. DeFlorio, Carly R. Tozer, Lisa Goddard, Duane E. Waliser, Robert M. Graham, William J. Merryfield, Dominik Büeler, Jethro Browell, Robert W. Lee, Lluís Palma, Albert Soret, Alan Halford, Caio A. S. Coelho, Stella Aura, Sonia Bluhm
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Bulletin of the American Meteorological Society, 103 (6)
Universitat Politècnica de Catalunya (UPC)
Bulletin of the American Meteorological Society, 103 (6)
The joint WWRP–WCRP Subseasonal to Seasonal Prediction Project (e.g., Robertson et al. 2014) created a global repository of experimental or operational near-real-time S2S forecasts and reforecasts (hindcasts) from 11 international meteorological in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8209607e8335be7a5f971ae69a2f512c
https://centaur.reading.ac.uk/101736/1/%5B15200477%20-%20Bulletin%20of%20the%20American%20Meteorological%20Society%5D%20Advances%20in%20the%20application%20and%20utility%20of%20subseasonal-to-seasonal%20predictions.pdf
https://centaur.reading.ac.uk/101736/1/%5B15200477%20-%20Bulletin%20of%20the%20American%20Meteorological%20Society%5D%20Advances%20in%20the%20application%20and%20utility%20of%20subseasonal-to-seasonal%20predictions.pdf
Slower components of the climate system, such as the stratosphere or tropical convection, are potential sources for predictability in the midlatitudes on sub-seasonal time scales of 10-60 days. However, beyond two weeks the skill of current sub-seaso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5efed5f399c00710fd5e9eccae6814fd
https://doi.org/10.5194/egusphere-egu22-12039
https://doi.org/10.5194/egusphere-egu22-12039
Weather regime forecasts are a prominent use case of sub‐seasonal prediction in the midlatitudes. A systematic evaluation and understanding of year‐round sub‐seasonal regime forecast performance is still missing, however. Here we evaluate the r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32713ca1b3856eeed31aea5e0276ed2b
http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9847
http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9847
Sub-seasonal numerical weather forecasts (10 – 60 days) primarily aim to predict the evolution of the large-scale circulation and its associated surface weather on continent- and multi-daily scales. In the extratropics, this atmospheric variability
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62e959c97f7073bc1a6c153691a39c50
https://doi.org/10.5194/egusphere-egu21-12124
https://doi.org/10.5194/egusphere-egu21-12124
The continuous increase of computational power and improvement of numerical weather prediction systems in recent decades has allowed extending the operational weather forecast horizon into sub-seasonal time scales (10 – 60 days). On these scales, q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d96b26fb6a498ea68526ff4c1529b5c9
https://doi.org/10.5194/egusphere-egu2020-5662
https://doi.org/10.5194/egusphere-egu2020-5662
Autor:
Luise J. Fischer, Dominik Büeler, Christian M. Grams, Urs Beyerle, David N. Bresch, Heini Wernli
We present findings from an analysis of weather regimes over the North Atlantic and Europe in present and future climate conditions. Weather regimes strongly influence the statistical distribution of surface weather variables. We use a recently devel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aecbb20b1bdec345e2698ceaee0136b5
https://doi.org/10.5194/egusphere-egu2020-4589
https://doi.org/10.5194/egusphere-egu2020-4589