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Dataset

 

Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): Reference state data

Latest Data Update: 2022-03-25
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2022-04-19
DOI Publication Date: 2022-04-20
Download Stats: last 12 months
Dataset Size: 113 Files | 328GB

Abstract

Reference state data derived from the European Centre for Medium-Range Weather Forecasts (ECMWF) ERA5 reanalysis for the nudging experiments of the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project.
These reference states are used to nudge the stratosphere towards a specified evolution in the ensemble forecasts carried out by the SNAPSI project.
The data contain:
(a) lightly processed horizontal winds and temperatures from ERA5 spanning three case studies of sudden stratospheric warmings from 2018 to 2019 and
(b) climatological horizontal winds and temperatures.

Citable as:  Hitchcock, P. (2022): Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): Reference state data. NERC EDS Centre for Environmental Data Analysis, 20 April 2022. doi:10.5285/540a4c4cdfa6497993bbfa7c3e3df51a. https://dx.doi.org/10.5285/540a4c4cdfa6497993bbfa7c3e3df51a
Abbreviation: Not defined
Keywords: 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:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: http://creativecommons.org/licenses/by/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 the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).
The data is based on model-level output from ERA5, downloaded on a 1x1 degree horizontal grid. It has been lightly processed to compute the climatology and put in a format consistent with the SNAPSI data request.

Data Quality:
Quality control checks performed at CEDA confirmed that the data meets the SNAPSI metadata requirements.
File Format:
netCDF

Citations: 1

The following citations have been automatically harvested from external sources associated with this resource where DOI tracking is possible. As such some citations may be missing from this list whilst others may not be accurate. Please contact the helpdesk to raise any issues to help refine these citation trackings.

Hitchcock, P., Butler, A., Charlton-Perez, A., Garfinkel, C. I., Stockdale, T., Anstey, J., Mitchell, D., Domeisen, D. I. V., Wu, T., Lu, Y., Mastrangelo, D., Malguzzi, P., Lin, H., Muncaster, R., Merryfield, B., Sigmond, M., Xiang, B., Jia, L., Hyun, Y.-K., … Hendon, H. (2022). Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): a protocol for investigating the role of stratospheric polar vortex disturbances in subseasonal to seasonal forecasts. Geoscientific Model Development, 15(13), 5073–5092. https://doi.org/10.5194/gmd-15-5073-2022

Process overview

This dataset was generated by the computation detailed below.
Title

ECMWF ERA5 Re-analysis Model deployed on ECMWF Computer

Abstract

This computation involved: ECMWF ERA5 Re-analysis Model deployed on ECMWF Computer. The data assimilation system used to produce ERA5 is based on the Integrated Forecasting System (IFS)Cycle 41r2 release, with several added features specifically developed for reanalysis. The many changes and improvements incorporated into the IFS represent a decade of research and development in modelling and data assimilation. The ERA5 reanalysis benefits from research conducted in the EU-funded ERA-CLIM and ERA-CLIM2 projects carried out by ECMWF and partners. These led to improved input data for the assimilating model that better reflects observed changes in climate forcings, as well as many new or reprocessed observations for data assimilation.

The system includes :

- Model input: Appropriate for climate (e.g. CMIP5 greenhouse gases, volcanic eruptions,
SST and sea-ice cover)
- Spatial resolution: 31 km globally, 137 levels to 0.01 hPa
- Uncertainty estimates - From a 10-member Ensemble of Data Assimilations (EDA) at 63 km resolution
- Output frequency: Hourly analysis and forecast fields, 3-hourly for the EDA
- Input observations: As in ERA-40 and from Global Telecommunication System. In addition, various newly reprocessed datasets and recent instruments that could not be ingested in ERA-Interim
- Variational bias scheme: Satellite radiances and also ozone, aircraft and surface pressure data
- Satellite data: RTTOV-11, all-sky for various components
- Additional innovations: Long-term evolution of CO2 in RTTOV, cell-pressure correction SSU, improved bias correction for radiosondes, EDA perturbations for sea-ice cover

Input Description

None

Output Description

None

Software Reference

None

  • units: K
  • standard_name: air_temperature
  • var_id: ta
  • long_name: Air Temperature
  • names: air_temperature, Air Temperature
  • units: K
  • standard_name: air_temperature
  • long_name: Climatological Air Temperature
  • var_id: taclim
  • names: air_temperature, Climatological Air Temperature
  • units: m s-1
  • standard_name: eastward_wind
  • long_name: Climatological Eastward Wind
  • var_id: uaclim
  • names: eastward_wind, Climatological Eastward Wind
  • units: m s-1
  • standard_name: northward_wind
  • long_name: Climatological Northward Wind
  • var_id: vaclim
  • names: northward_wind, Climatological Northward Wind
  • units: m s-1
  • standard_name: eastward_wind
  • var_id: ua
  • long_name: Eastward Wind
  • names: eastward_wind, Eastward Wind
  • units: m s-1
  • standard_name: northward_wind
  • var_id: va
  • long_name: Northward Wind
  • names: northward_wind, Northward Wind
  • units: K
  • standard_name: air_temperature
  • long_name: Zonal Mean Air Temperature
  • var_id: tazm
  • names: air_temperature, Zonal Mean Air Temperature
  • units: K
  • standard_name: air_temperature
  • long_name: Zonal Mean Climatological Air Temperature
  • var_id: tazmclim
  • names: air_temperature, Zonal Mean Climatological Air Temperature
  • units: m s-1
  • standard_name: eastward_wind
  • long_name: Zonal Mean Climatological Eastward Wind
  • var_id: uazmclim
  • names: eastward_wind, Zonal Mean Climatological Eastward Wind
  • units: m s-1
  • standard_name: eastward_wind
  • long_name: Zonal Mean Eastward Wind
  • var_id: uazm
  • names: eastward_wind, Zonal Mean Eastward Wind
  • units: Pa
  • long_name: air_pressure
  • var_id: plev137
  • names: air_pressure
  • var_id: climatology_bounds
  • var_id: nbnd
  • units: Pa
  • long_name: pressure
  • var_id: plev137
  • names: pressure
  • var_id: time_bnds

Co-ordinate Variables

  • standard_name: latitude
  • long_name: latitude
  • var_id: lat
  • names: latitude
  • standard_name: longitude
  • long_name: longitude
  • var_id: lon
  • names: longitude
  • standard_name: time
  • var_id: time
  • names: time
Coverage
Temporal Range
Start time:
2010-01-01T00:00:00
End time:
2019-12-31T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°