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Dataset

 

Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): control data produced by the GloSea6 model at UKMO

Status: Ongoing
Online Status: ONLINE
Publication State: Published
Publication Date: 2024-10-17
Download Stats: last 12 months
Dataset Size: 8.71K Files | 5TB

Abstract

This dataset contains model data for SNAPSI experiment 'control' 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 control 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 time-evolving climatological 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)
- 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

Citable as:  Knight, J. (2024): Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): control data produced by the GloSea6 model at UKMO. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/95697468005740fa96f08d223c407a18/
Abbreviation: Not defined
Keywords: control, GloSea6, UKMO, 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 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.
File Format:
Files are Net-CDF formatted

Process overview

This dataset was generated by the computation detailed below.
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: K
  • standard_name: air_temperature
  • var_id: tas
  • long_name: Near-Surface Air Temperature
  • units: m s-1
  • standard_name: northward_wind
  • var_id: vas
  • long_name: Northward Near-Surface Wind
  • units: Pa s-1
  • standard_name: lagrangian_tendency_of_air_pressure
  • var_id: wap
  • long_name: Omega (=dp/dt)
  • units: Pa
  • var_id: psl
  • long_name: Sea Level Pressure
  • standard_name: air_pressure_at_mean_sea_level
  • units: kg m-2
  • standard_name: surface_snow_amount
  • var_id: snw
  • long_name: Surface Snow Amount
  • units: %
  • standard_name: cloud_area_fraction
  • var_id: clt
  • long_name: Total Cloud Cover Percentage
  • units: kg m-2
  • long_name: Total Soil Moisture Content
  • var_id: mrso
  • standard_name: mass_content_of_water_in_soil
  • units: m s-1
  • standard_name: upward_transformed_eulerian_mean_air_velocity
  • var_id: wtem
  • long_name: Transformed Eulerian Mean Upward Wind
  • units: m
  • standard_name: height
  • var_id: height
  • long_name: height
  • 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
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)