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Dataset

 

Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged-full data produced by the CNRM-CM 6.1 model at Météo France

Latest Data Update: 2023-01-23
Status: Ongoing
Online Status: ONLINE
Publication State: Published
Publication Date: 2024-09-25
Download Stats: last 12 months
Dataset Size: 5.7K Files | 1TB

Abstract

This dataset contains model data for SNAPSI experiment 'nudged-full' produced by the seasonal prediction research team at Météo-France. It is generated with the coupled climate model CNRM-CM 6.1.

The 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.

The nudged-full experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. Following the initial date, stratospheric temperatures and horizontal 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.

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Sources of additional information
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The following web links are provided in the Details/Docs section of this catalogue record:
- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts
- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)
- 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

Citable as:  Specq, D. (2024): Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged-full data produced by the CNRM-CM 6.1 model at Météo France. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/8b1801552b7e40b5acb3bd12d0b4203a/
Abbreviation: Not defined
Keywords: nudged-full, CNRM-CM 6.1, Météo France, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP,

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.
Use of these data is covered by the following licence(s):
https://creativecommons.org/licenses/by-sa/4.0/
When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

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. Data was output as NetCDF files by the XIOS tool, then passed on to CEDA for archiving.

Data Quality:
Quality control checks performed at CEDA confirmed that the data meets the SNAPSI metadata requirements.
File Format:
Data are Net-CDF formatted

Process overview

This dataset was generated by the computation detailed below.
Title

CNRM-CM 6.1 atmosphere-ocean general circulation model deployed on Météo-France computing facilities.

Abstract

CNRM-CM 6.1 atmosphere-ocean general circulation model deployed on Météo-France computing facilities. The model consists of the ARPEGE-Climat 6.3 atmospheric model, the NEMO 3.6 ocean model, the GELATO 6 sea ice model and the ISBA-CTRIP land surface model.

Input Description

None

Output Description

None

Software Reference

None

  • units: m s-2
  • standard_name: tendency_of_eastward_wind_due_to_orographic_gravity_wave_drag
  • long_name: Eastward Acceleration Due to Orographic Gravity Wave Drag
  • var_id: utendogw
  • standard_name: mole_fraction_of_ozone_in_air
  • long_name: Mole Fraction of O3
  • units: mol mol-1
  • var_id: o3
  • units: Pa s-1
  • standard_name: lagrangian_tendency_of_air_pressure
  • var_id: wap
  • long_name: Omega (=dp/dt)
  • var_id: pr
  • units: kg m-2 s-1
  • standard_name: precipitation_flux
  • long_name: Precipitation
  • units: m
  • standard_name: sea_ice_thickness
  • long_name: Sea Ice Thickness
  • var_id: sithick
  • units: %
  • standard_name: sea_ice_area_fraction
  • var_id: siconca
  • long_name: Sea-Ice Area Percentage
  • units: Pa
  • standard_name: surface_downward_eastward_stress
  • var_id: tauu
  • long_name: Surface Downward Eastward Wind Stress
  • units: %
  • standard_name: cloud_area_fraction
  • var_id: clt
  • long_name: Total Cloud Cover Percentage
  • units: Pa
  • standard_name: air_pressure
  • var_id: snap34
  • var_id: nbnd
  • units: Pa
  • standard_name: air_pressure
  • long_name: pressure
  • var_id: snap34
  • var_id: time_bnds

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • var_id: lat
  • long_name: Latitude
  • units: degrees_east
  • standard_name: longitude
  • var_id: lon
  • long_name: Longitude
  • standard_name: time
  • var_id: time
  • units: days
  • long_name: Time axis
Coverage
Temporal Range
Start time:
2018-01-25T00:00:00
End time:
2019-11-15T00:00:00
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°
 
Related parties
Authors (1)