ИСТИНА

• Охват: Международная
• Даты проведения: 19-23 июня 2017
• Место проведения: Монреаль, Canada
• Организатор:
  World Meteorological Organization
• Число участников: 200
• Число участников из МГУ: 1
• Число докладчиков: 200
• Веб-сайт: http://collaboration.cmc.ec.gc.ca/science/rpn/wgne_wse/about.html
• Описание конференции:

  Description The WCRP-JSC/CAS Working Group on Numerical Experimentation (WGNE) is organizing a workshop on systematic errors in weather and climate models, to be hosted by Environment and Climate Change Canada (ECCC) in Montreal during 19-23 June 2017. The principal goal of the workshop is to increase understanding of the nature and cause of errors in models used for weather and climate prediction, including intra-seasonal to inter-annual scales. Of special interest will be studies that consider errors found in multiple models and errors which are present across timescales. Diagnostics and metrics to identify and characterize systematic errors are welcomed. Considering recent reports from WGNE members, affiliated centres and groups, WGNE has identified some processes that models currently fail to represent accurately. The workshop is therefore organized around the following themes: Atmosphere-land-ocean-cryosphere interactions: errors in the representation of surface fluxes and drag processes; stable boundary layer issues; impact of coupled modeling. Clouds and precipitation: cloud-radiative feedback problem; tropical convection issues; representation of low clouds, especially at high latitudes; excess low accumulations of precipitation; underestimation of precipitation extremes; summer continental precipitation; precipitation over orography. Resolution issues: dependence of systematic errors on model resolution; grey zones of physical parametrizations. Teleconnections*: errors in the simulation of interactions between high-latitudes, mid-latitudes and tropics. Metrics and diagnostics: emphasis on novel techniques (e.g. process-based diagnostics; use of data assimilation or coupled modeling) to diagnose and measure systematic errors. Model errors in ensembles: characterization of ensemble spread and identification of systematic errors in multi-model ensembles and ensemble prediction systems; evaluation of stochastic representations.

• Добавил в систему: Гущина Дарья Юрьевна

Доклады:

• 2017 The relationship between intraseasonal tropical variability and ENSO in CMIP5. (Стендовый)
• Авторы: Гущина Д.Ю., Девитт Б., Матвеева Татьяна Александровна