{"ob_id":39698,"uuid":"8e60e41124c644688cd7e8650114dc10","title":"Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged data produced by the CNRM-CM 6.1 model at Météo France","abstract":"This dataset contains model data for SNAPSI experiment 'nudged' produced by the seasonal prediction research team at Météo-France. It is generated with the coupled climate model CNRM-CM 6.1. \r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\nThe nudged experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, the stratospheric zonal mean temperatures and zonal winds are nudged towards the observed time-evolving state. The forecasts are initialized on the date indicated by the sub-experiment id; for instance, the sub-experiment 's20180125' is initialized on 25 January 2018. The ocean, sea-ice, land-surface and ozone are all initialized and run prognostically.\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- Evaluation of CMIP6 DECK experiments with CNRM-CM6-1: Voldoire, A., Saint-Martin, D., Sénési, S., Decharme, B., Alias, A., Chevallier, M., Colin, J., Guérémy, J.-F., Michou, M., Moine, M.-P., Nabat, P., Roehrig, R., y Mélia, D. S., Séférian, R., Valcke, S., Beau, I., Belamari, S., Berthet, S., Cassou, C., Cattiaux, J., Deshayes, J., Douville, H., Ethé, C., Franchistéguy, L., Geoffroy, O., Lévy, C., Madec, G., Meurdesoif, Y., Msadek, R., Ribes, A., Sanchez-Gomez, E., Terray, L., and Waldman, R., J. Adv. Model Earth Sy., 11, 2177–2213, https://doi.org/10.1029/2019MS001683, 2019","keywords":"nudged, CNRM-CM 6.1, Météo France, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC","publicationState":"published","dataPublishedTime":"2024-09-25T13:25:40","doiPublishedTime":null,"updateFrequency":"","status":"ongoing","result_field":{"ob_id":"https://catalogue.ceda.ac.uk/api/v2/observations/39701/?format=json","dataPath":"/badc/snap/data/post-cmip6/SNAPSI/Meteo-France/CNRM-CM61/nudged","oldDataPath":[],"storageLocation":"internal","storageStatus":"online","volume":3198164952608,"numberOfFiles":11401,"fileFormat":"Data are Net-CDF formatted"},"timePeriod":"https://catalogue.ceda.ac.uk/api/v2/times/10988/?format=json","geographicExtent":"https://catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=json","nonGeographicFlag":false,"phenomena":["https://catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/47592/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/50415/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/50417/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/50419/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/50426/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/50427/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/50428/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/50429/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/50431/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/50445/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/50475/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/50481/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/50496/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/50498/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/50549/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/50566/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/50579/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/50582/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/50587/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/50588/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/50590/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/50597/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/50605/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/50609/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/50615/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/52755/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/53111/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/54228/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/54350/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/62368/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/62559/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/62560/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/62561/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/64078/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/64079/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/64080/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/66075/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/66076/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/66077/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/66082/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/71614/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/71619/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/71634/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/74366/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/74367/?format=json","https://catalogue.ceda.ac.uk/api/v2/phenomona/82407/?format=json"],"dataLineage":"Data were generated using the Centre National de Recherches Météorologiques fully coupled atmosphere‐ocean general circulation model CNRM-CM 6.1 at TL359 horizontal resolution. 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