Dataset
Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): free data produced by the GloSea6 model at UKMO
Abstract
This dataset contains model data for SNAPSI experiment 'free' produced by scientists at UKMO (UK Met Office, Exeter, UK). It is generated with the coupled climate ensemble prediction system GloSea6.
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 free experiment is a set of retrospective, 45-day, 50-member ensemble forecasts. 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)
- MacLachlan, C., Arribas, A., Peterson, K. A., Maidens, A., Fereday, D., Scaife, A. A., Gordon, M., Vellinga, M., Williams, A., Comer, R. E., Camp, J., Xavier, P., and Madec, G.: Global Seasonal forecast system version 5 (GloSea5): a high-resolution seasonal forecast system, Q. 605 J. R. Meteorol. Soc., 141, 1072–1084, https://doi.org/10.1002/qj.2396, 2014
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 produced by scientists at the Met Office, Exeter, UK (UKMO) and published by the Centre for Environmental Data Analysis (CEDA). |
Data Quality: |
Quality control checks performed at CEDA confirmed that the data meets the SNAPSI metadata requirements.
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File Format: |
Files are Net-CDF formatted
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Related Documents
Process overview
Title | GloSea6 model run by scientists at UKMO |
Abstract | This data was produced by the GloSea6 model run by scientists at the UK Met Office for the SNAPSI project. GloSea6 is an ensemble prediction system built around the high resolution version of the Met Office climate prediction model: HadGEM3 family. |
Input Description | None |
Output Description | None |
Software Reference | None |
- units: m s-1
- standard_name: eastward_wind
- var_id: ua
- long_name: Eastward Wind
- units: m
- standard_name: geopotential_height
- var_id: zg
- long_name: Geopotential Height
- units: kg m-2
- var_id: mrsos
- long_name: Moisture in Upper Portion of Soil Column
- standard_name: mass_content_of_water_in_soil_layer
- units: m3 s-2
- standard_name: northward_eliassen_palm_flux_in_air
- long_name: Northward Component of the Eliassen-Palm Flux
- var_id: epfy
- var_id: pr
- units: kg m-2 s-1
- standard_name: precipitation_flux
- long_name: Precipitation
- units: m
- standard_name: surface_snow_thickness
- long_name: Snow Depth
- var_id: snd
- units: m s-1
- standard_name: northward_transformed_eulerian_mean_air_velocity
- var_id: vtem
- long_name: Transformed Eulerian Mean Northward Wind
- units: m s-1
- standard_name: upward_transformed_eulerian_mean_air_velocity
- var_id: wtem
- long_name: Transformed Eulerian Mean Upward Wind
- units: m3 s-2
- standard_name: upward_eliassen_palm_flux_in_air
- long_name: Upward Component of the Eliassen-Palm Flux
- var_id: epfz
- units: m
- var_id: depth
- standard_name: depth
- long_name: depth
- var_id: depth_bnds
- var_id: lat_bnds
- var_id: lon_bnds
- units: Pa
- standard_name: air_pressure
- long_name: pressure
- var_id: plev
- 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
- long_name: time
- standard_name: time
- var_id: time
- units: days
Temporal Range
2018-01-25T00:00:00
2019-11-15T00:00:00
Geographic Extent
90.0000° |
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-180.0000° |
180.0000° |
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-90.0000° |