Dataset
Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): free data produced by the GLOBO model at CNR-ISAC
Abstract
This dataset contains model data for SNAPSI experiment 'free' produced by scientists at CNR-ISAC (Institute of Atmospheric Sciences and Climate, Bologna, Italy). It is generated with the coupled climate model GLOBO.
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)
Model reference publications:
- Malguzzi, P., Buzzi, A., and Drofa, O.: The Meteorological Global Model GLOBO at the ISAC-CNR of Italy Assessment of 1.5 Yr of experimental Use for Medium-Range Weather Forecasts, Weather Forecast., 26, 1045–1055, https://doi.org/10.1175/WAF-D-11-00027.1, 2011
- Mastrangelo, D. and Malguzzi, P.: Verification of Two Years of CNR-ISAC Subseasonal Forecasts, Weather and Forecasting, 34, 331–344, https://doi.org/10.1175/WAF-D-18-0091.1, 2019
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 Institute of Atmospheric Sciences and Climate, Bologna, Italy (CNR-ISAC) 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 | GLOBO model run by scientists at CNR-ISAC |
| Abstract | This data was produced by the GLOBO model run by scientists at CNR-ISAC (Institute of Atmospheric Sciences and Climate, Bologna, Italy) 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: 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-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: 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: 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
- units: kg m-2
- standard_name: surface_snow_amount
- var_id: snw
- long_name: Surface Snow Amount
- var_id: rlut
- units: W m-2
- standard_name: toa_outgoing_longwave_flux
- long_name: TOA Outgoing Longwave Radiation
- units: %
- standard_name: cloud_area_fraction
- var_id: clt
- long_name: Total Cloud Cover Percentage
- units: m
- var_id: depth
- standard_name: depth
- long_name: depth
- var_id: depth_bnds
- 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
Temporal Range
2018-01-25T00:00:00
2019-11-15T00:00:00
Geographic Extent
90.0000° |
||
-180.0000° |
180.0000° |
|
-90.0000° |