Subseasonal to Seasonal Prediction of Wintertime Northern Hemisphere Extratropical Cyclone Activity by S2S and NMME Models

Details

• Journal Title:
  Journal of Geophysical Research: Atmospheres
• Personal Author:
  Zheng, Cheng ; Chang, Edmund Kar‐Man ; Kim, Hyemi ; Zhang, Minghua ; Wang, Wanqiu
• NOAA Program & Office:
  OAR (Oceanic and Atmospheric Research) ; CPO (Climate Program Office) ; NWS (National Weather Service) ; CPC (Climate Prediction Center)
• Description:
  In this study, the prediction of wintertime extratropical cyclone activity from subseasonal to seasonal timescale in current dynamical models' reforecasts is investigated. On seasonal time scales, the North American Multi-Model Ensemble (NMME) models show skillful predictions over the eastern North Pacific, North America and the western North Atlantic with at least 5 months lead. The prediction skill is highly related to El Nino-Southern Oscillation (ENSO), as using the ENSO-related SST pattern gives rise to prediction skill with very similar spatial pattern and amplitude. On subseasonal time scales, models in the Seasonal to Sub-seasonal Prediction (S2S) dataset have skillful predictions up to 4 weeks lead over regions from the eastern North Pacific to the western Atlantic, as well as northern Europe, the eastern Atlantic and East Asia. Generally, forecast skill improves with a larger ensemble size. The subseasonal prediction skill from the Pacific to the western Atlantic is related to ENSO, and that over eastern Atlantic, Europe and East Asia are associated with stratospheric polar vortex anomalies. Current models do not show much skill from the Madden-Julian Oscillation (MJO), as the MJO impact on extratropical cyclone activity is not well captured by the models. European Centre for Medium-Range Weather Forecasts (ECMWF) model has the highest single model subseasonal prediction skill. The prediction skill in the ECMWF model is higher than its estimated potential predictability, likely because the signal-to-noise ratio is too low in the model hindcasts.
• Source:
  Journal of Geophysical Research: Atmospheres, 124, 12057– 12077. https://doi.org/10.1029/2019JD031252
• DOI:
  https://doi.org/10.1029/2019JD031252
• Document Type:
  Journal Article
• Funding:
  Grant no. NA16OAR4310070
• Rights Information:
  Other
• Compliance:
  Submitted
• Download URL:
  https://repository.library.noaa.gov/view/noaa/28696/noaa_28696_DS1.pdf
• File Type:
  [PDF - 66.26 MB]
• Collection(s):
  Office of Oceanic and Atmospheric Research (OAR) ; National Weather Service (NWS)
• Main Document Checksum:
  urn:sha256:d48c54f83138a591f338deb9130f81140c43b34ffd6179481d4be78410635209