Articles | Volume 17, issue 14
https://doi.org/10.5194/gmd-17-5511-2024
https://doi.org/10.5194/gmd-17-5511-2024
Model evaluation paper
 | 
24 Jul 2024
Model evaluation paper |  | 24 Jul 2024

The Year of Polar Prediction site Model Intercomparison Project (YOPPsiteMIP) phase 1: project overview and Arctic winter forecast evaluation

Jonathan J. Day, Gunilla Svensson, Barbara Casati, Taneil Uttal, Siri-Jodha Khalsa, Eric Bazile, Elena Akish, Niramson Azouz, Lara Ferrighi, Helmut Frank, Michael Gallagher, Øystein Godøy, Leslie M. Hartten, Laura X. Huang, Jareth Holt, Massimo Di Stefano, Irene Suomi, Zen Mariani, Sara Morris, Ewan O'Connor, Roberta Pirazzini, Teresa Remes, Rostislav Fadeev, Amy Solomon, Johanna Tjernström, and Mikhail Tolstykh

Data sets

Merged model Data Files (MMDFs) for the Meteo France ARPEGE global forecast model for various Polar sites E. Bazile and N. Azouz https://doi.org/10.21343/T31Z-J391

MMDFs for the Meteo France AROME regional forecast model for various Arctic sites E. Bazile and N. Azouz https://doi.org/10.21343/JZH3-2470

MMDFs for the Environment and Climate Change Canada-CAPS regional forecast model for various Arctic sites B. Casati https://doi.org/10.21343/2BX6-6027

MMDFs for the ECMWF-IFS global forecast model for various Polar sites J. Day https://doi.org/10.21343/A6KA-7142

MMDFs for the DWD-ICON global forecast model for various Arctic sites. H. Frank https://doi.org/10.21343/09KM-BJ07

MMDFs for the MetNorway AROME regional forecast model for various Arctic sites T. Remes https://doi.org/10.21343/47AX-MY36

MMDFs for the Roshydromet-SLAV global forecast model for various Arctic sites M. Tolstykh https://doi.org/10.21343/J4SJ-4N61

Download
Short summary
The YOPP site Model Intercomparison Project (YOPPsiteMIP), which was designed to facilitate enhanced weather forecast evaluation in polar regions, is discussed here, focussing on describing the archive of forecast data and presenting a multi-model evaluation at Arctic supersites during February and March 2018. The study highlights an underestimation in boundary layer temperature variance that is common across models and a related inability to forecast cold extremes at several of the sites.