By laraf | Fri, 12/15/2023 - 17:57 Abstract The version of ARPEGE submitted to YOPPsiteMIP was a pre-operational version based on the cy43t2_op1 operational system but coupled with the 1D sea-ice model GELATO. The resolution of the model used for these simulations is the same as is used operationally at Meteo France which is variable (using a stretching factor of 2.2) with the pole (highest resolution of 7.5 km) over France for SOP1 and SOP2 and over Antarctica in SOP-SH and 105 vertical levels. The horizontal resolution is about 8-9 km over the North-Pole and timeseries have been provided for the three SOPs in the MMDF format for the 21 YOPP observatories with an hourly output for both state variables (instantaneous) and fluxes (accumulated). ISO Topic category climatologyMeteorologyAtmosphere Citation info DOI https://doi.org/10.21343/t31z-j391 Citation Bazile, E., & Azouz, N. (2023). Merged model Data Files (MMDFs) for the Meteo France ARPEGE global forecast model for various Polar sites. Norwegian Meteorological Institute. https://doi.org/10.21343/T31Z-J391 License CC-BY-4.0 Data Access Type: HTTP Resource: https://thredds.met.no/thredds/catalog/YOPPSiteMIP-models/arpege-mf/catalog.html Contact Role: Investigator Name: Eric Bazile email: eric.bazile@meteo.fr Institution: CNRM/ Universite de Toulouse/ Meteo-France/CNRS Role: Investigator Name: Niramson Azouz email: Institution: CNRM/ Universite de Toulouse/ Meteo-France/CNRS Role: Data center contact Name: ADC support email: adc-support@met.no Institution: Norwegian Meteorological Institute / Arctic Data Centre Time Extent Start Date 2018-02-01T00:00:00Z Defines the temporal extent or coverage of the dataset. Time is expressed in UTC. For collections the end date is empty. Geographical Extent south -90.00 north 90.00 east 170.86 west -164.80 Geographical location is expressed with decimal numbers with positive axis Northwards and zero at the Equator (for north and south), and decimal numbers with positive axis Eastwards and zero at the Greenwich meridian (for east and west). Tags DOI dataset landing page