Description |
Programme for the Conference (3 - 6 June 2019)
is available via the following link: http://www.scert.ru/en/conferences/cites2019/ Organizers: E. Gordov Institute for Monitoring of Climate and Ecological Systems, SB RAS, Russia V. Khan Hydrometcentre of Russia M. Tolstykh Marchuk Institute of Numerical Mathematics RAS and Hydrometcentre of Russia ICTP Contact/Organizer: A. Tompkins, ICTP, Trieste, Italy The theme of the School is subseasonal to decadal (S2D) weather and climate predictions. The school will cover aspects from the modeling and data assimilation to forecast information delivery and relevant practical applications.
Recently, The accuracy of S2D predictions have significantly advanced, exploiting potential sources of atmosphere predictability, such as interactions of the atmosphere with the ocean, sea-ice, land surface, and internal atmosphere modes of variability such as the MJO and QBO. The event comprises of a one-week School with lectures given by leading experts from the World Climate Research Programme (WCRP) Working Group on Subseasonal to Interdecadal Prediction (WGSIP), introducing systems from some of the world’s leading operational centers. The lectures will be complemented by lab exercises using open-access data of near-real time and historical forecasts.
In the second week, the Computational Information Technologies for Environmental Sciences Conference will take place. More information on the Conference, including abstract requirements, is available at: http://www.scert.ru/en/conferences/cites2019/ Topics: • Subseasonal prediction; • Seasonal prediction; • Interannual prediction; • Earth system modelling; • Practical applications of long range forecasts. Speakers include: L. Batte, Meteo-France L. Ferranti, ECMWF, UK D. Hudson, BoM, Australia V. Khan, Hydrometcentre of Russia Lee, June-Yi, University of Pusan, Korea B. Merryfield, CCMA, Canada R. Saural, CIMA, University of Buenos Aires, Argentina A. Tompkins, ICTP, Trieste, Italy M. Tolstykh, INM RAS, Russia The School invites applications from PhD students, early career scientists and national meteorological services specialists. A working knowledge of English language is required and a motivation letter in English forms part of the application process. Participants are expected to know how to handle NetCDF data and to visualize them. |