Adding value to Extended-range Forecasts in Northern Europe by Statistical Post-processing Using Stratospheric Observations

• Published in: Atmospheric Chemistry and Physics
• Main Authors: Korhonen, Natalia, Hyvärinen, Otto, Kämäräinen, Matti, Richardson, David S., Järvinen, Heikki, Gregow, Hilppa
• Other Authors: Institute for Atmospheric and Earth System Research (INAR), University Management
• Format: Article in Journal/Newspaper
• Language: English
• Published: Copernicus GMBH 2021
• Subjects: 114 Physical sciences; ARCTIC OSCILLATION; IMPACTS; MADDEN-JULIAN OSCILLATION; PREDICTION; QUASI-BIENNIAL OSCILLATION; TELECONNECTIONS; WEATHER; Arctic
• Online Access: http://hdl.handle.net/10138/324243

The strength of the stratospheric polar vortex influences the surface weather in the Northern Hemisphere in winter; a weaker (stronger) than average stratospheric polar vortex is connected to negative (positive) Arctic Oscillation (AO) and colder (warmer) than average surface temperatures in northern Europe within weeks or months. This holds the potential for forecasting in that timescale. We investigate here if the strength of the stratospheric polar vortex at the start of the forecast could be used to improve the extended-range temperature forecasts of the European Centre for Medium-Range Weather Forecasts (ECMWF) and to find periods with higher prediction skill scores. For this, we developed a stratospheric wind indicator (SWI) based on the strength of the stratospheric polar vortex and the phase of the AO during the following weeks. We demonstrate that there was a statistically significant difference in the observed surface temperature in northern Europe within the 3-6 weeks, depending on the SWI at the start of the forecast. When our new SWI was applied in post-processing the ECMWF's 2-week mean temperature reforecasts for weeks 3-4 and 5-6 in northern Europe during boreal winter, the skill scores of those weeks were slightly improved. This indicates there is some room for improving the extended-range forecasts, if the stratosphere-troposphere links were better captured in the modelling. In addition to this, we found that during the boreal winter, in cases where the polar vortex was weak at the start of the forecast, the mean skill scores of the 3-6 weeks' surface temperature forecasts were higher than average. Peer reviewed