Improved extended-range prediction of persistent stratospheric perturbations using machine learning

Autor: R. de Fondeville, Z. Wu, E. Székely, G. Obozinski, D. I. V. Domeisen

Publikováno v: Weather and Climate Dynamics, Vol 4, Pp 287-307 (2023)

On average every 2 years, the stratospheric polar vortex exhibits extreme perturbations known as sudden stratospheric warmings (SSWs). The impact of these events is not limited to the stratosphere: but they can also influence the weather at the surfa

Externí odkaz: https://doaj.org/article/9359a42f3416454fb1ad5a7963c0c2d1

Emergence of representative signals for sudden stratospheric warmings beyond current predictable lead times

Autor: Z. Wu, B. Jiménez-Esteve, R. de Fondeville, E. Székely, G. Obozinski, W. T. Ball, D. I. V. Domeisen

Publikováno v: Weather and Climate Dynamics, Vol 2, Pp 841-865 (2021)

Major sudden stratospheric warmings (SSWs) are extreme wintertime circulation events of the Arctic stratosphere that are accompanied by a breakdown of the polar vortex and are considered an important source of predictability of tropospheric weather o

Externí odkaz: https://doaj.org/article/374d0f9ae5c34341aa2b287c97b4ad8f

Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

Autor: K. Sherratt, H. Gruson, R. Grah, H. Johnson, R. Niehus, B. Prasse, F. Sandman, J. Deuschel, D. Wolffram, S. Abbott, A. Ullrich, G. Gibson, EL. Ray, NG. Reich, D. Sheldon, Y. Wang, N. Wattanachit, L. Wang, J. Trnka, G. Obozinski, T. Sun, D. Thanou, L. Pottier, E. Krymova, MV. Barbarossa, N. Leithäuser, J. Mohring, J. Schneider, J. Wlazlo, J. Fuhrmann, B. Lange, I. Rodiah, P. Baccam, H. Gurung, S. Stage, B. Suchoski, J. Budzinski, R. Walraven, I. Villanueva, V. Tucek, M. Šmíd, M. Zajícek, C. Pérez Álvarez, B. Reina, NI. Bosse, S. Meakin, P. Alaimo Di Loro, A. Maruotti, V. Eclerová, A. Kraus, D. Kraus, L. Pribylova, B. Dimitris, ML. Li, S. Saksham, J. Dehning, S. Mohr, V. Priesemann, G. Redlarski, B. Bejar, G. Ardenghi, N. Parolini, G. Ziarelli, W. Bock, S. Heyder, T. Hotz, D. E. Singh, M. Guzman-Merino, JL. Aznarte, D. Moriña, S. Alonso, E. Álvarez, D. López, C. Prats, JP. Burgard, A. Rodloff, T. Zimmermann, A. Kuhlmann, J. Zibert, F. Pennoni, F. Divino, M. Català, G. Lovison, P. Giudici, B. Tarantino, F. Bartolucci, G. Jona Lasinio, M. Mingione, A. Farcomeni, A. Srivastava, P. Montero-Manso, A. Adiga, B. Hurt, B. Lewis, M. Marathe, P. Porebski, S. Venkatramanan, R. Bartczuk, F. Dreger, A. Gambin, K. Gogolewski, M. Gruziel-Slomka, B. Krupa, A. Moszynski, K. Niedzielewski, J. Nowosielski, M. Radwan, F. Rakowski, M. Semeniuk, E. Szczurek, J. Zielinski, J. Kisielewski, B. Pabjan, K. Holger, Y. Kheifetz, M. Scholz, M. Bodych, M. Filinski, R. Idzikowski, T. Krueger, T. Ozanski, J. Bracher, S. Funk

Background Short-term forecasts of infectious disease burden can contribute to situational awareness and aid capacity planning. Based on best practice in other fields and recent insights in infectious disease epidemiology, one can maximise the predic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::eb10c4c5af94ee284cb633e9b6a77048
https://doi.org/10.1101/2022.06.16.22276024

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