Dataset
Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): control data produced by the GRIMs model at SNU
Abstract
This dataset contains model data for SNAPSI experiment 'control' produced by scientists at SNU (Seoul National University). The dataset contains data from the Global/Regional Integrated Model System (GRIMs) at T126 horizontal and L64 vertical resolutions. The GRIMs model is an atmospheric general circulation model (AGCM) using Optimum Interpolation Sea Surface Temperature (OISST) dataset as ocean boundary conditions and climatological ozone. All data in this dataset are regridded to 1.5x1.5 degree resolution.
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.
------------------------------------------
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 publication:
Koo, MS., Song, K., Kim, JE.E. et al. The Global/Regional Integrated Model System (GRIMs): an Update and Seasonal Evaluation. Asia-Pac J Atmos Sci 59, 113–132 (2023). https://doi.org/10.1007/s13143-022-00297-y
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 generated using the Global/Regional Integrated Model System (GRIMs) at T126 horizontal and L64 vertical resolutions. Simulation data have been converted to CF-netCDF by the SNU team using CMOR, then 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
|
Related Documents
Process overview
| Title | Global/Regional Integrated Model System (GRIMs) deployed on KISTI NURION |
| Abstract | Global/Regional Integrated Model System (GRIMs) deployed on KISTI NURION. The GRIMs model is an atmospheric general circulation model (AGCM) using Optimum Interpolation Sea Surface Temperature (OISST) dataset as ocean boundary conditions and climatological ozone. All data in this dataset are regridded to 1.5x1.5 degree resolution. |
| 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: K
- standard_name: air_temperature
- var_id: ta
- long_name: Air Temperature
- units: kg m-2 s-1
- standard_name: convective_precipitation_flux
- var_id: prc
- long_name: Convective Precipitation
- units: m s-2
- standard_name: tendency_of_eastward_wind_due_to_orographic_gravity_wave_drag
- long_name: Eastward Acceleration Due to Orographic Gravity Wave Drag
- var_id: utendogw
- 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-2
- var_id: vtendogw
- standard_name: tendency_of_northward_wind_due_to_orographic_gravity_wave_drag
- long_name: Northward Acceleration Due to Orographic Gravity Wave Drag
- 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: 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
- units: Pa
- standard_name: surface_downward_eastward_stress
- var_id: tauu
- long_name: Surface Downward Eastward Wind Stress
- units: Pa
- standard_name: surface_downward_northward_stress
- var_id: tauv
- long_name: Surface Downward Northward Wind Stress
- 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: K s-1
- standard_name: tendency_of_air_temperature_due_to_longwave_heating
- long_name: Tendency of Air Temperature Due to Longwave Radiative Heating
- var_id: tntrl
- units: K s-1
- standard_name: tendency_of_air_temperature_due_to_model_physics
- var_id: tntmp
- long_name: Tendency of Air Temperature Due to Model Physics
- units: K s-1
- standard_name: tendency_of_air_temperature_due_to_shortwave_heating
- long_name: Tendency of Air Temperature Due to Shortwave Radiative Heating
- var_id: tntrs
- 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 s-2
- var_id: utendmp
- standard_name: tendency_of_eastward_wind_due_to_model_physics
- long_name: Tendency of Eastward Wind Due to Model Physics
- units: %
- standard_name: cloud_area_fraction
- var_id: clt
- long_name: Total Cloud Cover Percentage
- units: m
- standard_name: height
- var_id: height
- long_name: height
- 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° |
||
-180.0000° |
180.0000° |
|
-90.0000° |