Dataset
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.
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 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.
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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
Details
Previous Info: |
No news update for this record
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Previously used record identifiers: |
No related previous identifiers.
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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.
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File Format: |
Data are Net-CDF formatted
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Related Documents
Process overview
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: K
- standard_name: air_temperature
- var_id: tasmax
- long_name: 6 hourly Maximum Near-Surface Air Temperature
- units: K
- standard_name: air_temperature
- var_id: tasmin
- long_name: 6 hourly Minimum Near-Surface Air Temperature
- units: Pa
- standard_name: surface_air_pressure
- var_id: ps
- long_name: Surface Air Pressure
- units: m
- standard_name: height
- var_id: height
- long_name: height
- var_id: nbnd
- 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
Temporal Range
2018-01-25T00:00:00
2019-11-15T00:00:00
Geographic Extent
90.0000° |
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-180.0000° |
180.0000° |
|
-90.0000° |