This website uses cookies. By continuing to use this website you are agreeing to our use of cookies. 

Dataset

 

Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged data produced by the GEM-NEMO model at ECCC

Status: Ongoing
Online Status: ONLINE
Publication State: Preview
Publication Date:

THIS RECORD HAS NOT BEEN PUBLISHED YET - PREVIEW ONLY!
Abstract

This dataset contains model data for SNAPSI experiment 'nudged' produced by the seasonal prediction research team at ECCC (Environment and Climate Change Canada). It is generated with the coupled climate model GEM-NEMO.

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.

------------------------------------------
Sources of additional information
------------------------------------------
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)

Model reference publications:
- Smith, G. C., Bélanger, J.-M., Roy, F., Pellerin, P., Ritchie, H., Onu, K., Roch, M., Zadra, A., Colan, D. S., Winter, B., Fontecilla, J.-S., and Deacu., D.: Impact of Coupling with an Ice–Ocean Model on Global Medium-Range NWP Forecast Skill, Mon. Wea. Rev., 146, 1157–1180, https://doi.org/10.1175/MWR-D-17-0157.1, 2018
- Lin, H., Merryfield, W. J., Muncaster, R., Smith, G. C., Markovic, M., Dupont, F., Roy, F., Lemieux, J.-F., Dirkson, A., Kharin, V. V., Lee, W.-S., Charron, M., and Erfani, A.: The Canadian Seasonal to Interannual Prediction System Version 2 (CanSIPSv2), Weather and Forecasting, 35, 1317–1343, https://doi.org/10.1175/WAF-D-19-0259.1, 2020

Citable as:  [ PROVISIONAL ] Lin, H. (9999): Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): nudged data produced by the GEM-NEMO model at ECCC. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/5e924de0f26e48c194568075338ad3ff

Abbreviation: Not defined
Keywords: nudged, GEM-NEMO, ECCC, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC

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 Environment and Climate Change Canada (ECCC) 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

GEM-NEMO model

Abstract

This data was produced by the GEM-NEMO model run by scientists at Environment and Climate Change Canada (ECCC) for the SNAPSI project.

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: kg m-2 s-1
  • standard_name: convective_precipitation_flux
  • var_id: prc
  • long_name: Convective Precipitation
  • units: m s-1
  • standard_name: eastward_wind
  • var_id: uas
  • long_name: Eastward Near-Surface Wind
  • 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: 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: m s-1
  • standard_name: northward_wind
  • var_id: va
  • long_name: Northward Wind
  • 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: Pa
  • var_id: psl
  • long_name: Sea Level Pressure
  • standard_name: air_pressure_at_mean_sea_level
  • units: degC
  • standard_name: sea_surface_temperature
  • var_id: tos
  • long_name: Sea Surface Temperature
  • units: %
  • standard_name: sea_ice_area_fraction
  • var_id: siconca
  • long_name: Sea-Ice Area Percentage
  • units: 1
  • standard_name: specific_humidity
  • var_id: hus
  • long_name: Specific Humidity
  • units: Pa
  • standard_name: surface_air_pressure
  • var_id: ps
  • long_name: Surface Air Pressure
  • var_id: rlut
  • units: W m-2
  • standard_name: toa_outgoing_longwave_flux
  • long_name: TOA Outgoing Longwave Radiation
  • units: K s-1
  • var_id: tntnd
  • standard_name: tendency_of_air_temperature_due_to_imposed_relaxation
  • long_name: Tendency of Air Temperature Due to Imposed Relaxation
  • units: m s-2
  • var_id: utendnd
  • standard_name: tendency_of_eastward_wind_due_to_imposed_relaxation
  • long_name: Tendency of Eastward Wind Due to Imposed Relaxation
  • units: m
  • standard_name: height
  • var_id: height
  • long_name: height
  • units: degrees_north
  • long_name: latitude
  • var_id: lat
  • units: degrees_east
  • long_name: longitude
  • var_id: lon
  • units: Pa
  • long_name: pressure
  • var_id: plev

Co-ordinate Variables

  • 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)