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Dataset

 

Forcing files for the ECMWF Integrated Forecasting System (IFS) Single Column Model (SCM) over Indian Ocean/Tropical Pacific derived from a 10-day high resolution simulation

Update Frequency: Not Planned
Latest Data Update: 2018-06-01
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2018-06-05
Download Stats: last 12 months
Dataset Size: 953 Files | 428GB

Abstract

This data set consisting of initial conditions, boundary conditions and forcing profiles for the Single Column Model (SCM) version of the European Centre for Medium-range Weather Forecasts (ECMWF) model, the Integrated Forecasting System (IFS). The IFS SCM is freely available through the OpenIFS project, on application to ECMWF for a licence. The data were produced and tested for IFS CY40R1, but will be suitable for earlier model cycles, and also for future versions assuming no new boundary fields are required by a later model. The data are archived as single time-stamp maps in netCDF files. If the data are extracted at any lat-lon location and the desired timestamps concatenated (e.g. using netCDF operators), the resultant file is in the correct format for input into the IFS SCM.

The data covers the Tropical Indian Ocean/Warm Pool domain spanning 20S-20N, 42-181E. The data are available every 15 minutes from 6 April 2009 0100 UTC for a period of ten days. The total number of grid points over which an SCM can be run is 480 in the longitudinal direction, and 142 latitudinally. With over 68,000 independent grid points available for evaluation of SCM simulations, robust statistics of bias can be estimated over a wide range of boundary and climatic conditions.

The initial conditions and forcing profiles were derived by coarse-graining high resolution (4 km) simulations produced as part of the NERC Cascade project, dataset ID xfhfc (also available on CEDA). The Cascade dataset is archived once an hour. The dataset was linearly interpolated in time to produce the 15-minute resolution required by the SCM. The resolution of the coarse-grained data corresponds to the IFS T639 reduced gaussian grid (approx 32 km). The boundary conditions are as used in the operational IFS at resolution T639. The coarse graining procedure by which the data were produced is detailed in Christensen, H. M., Dawson, A. and Holloway, C. E., 'Forcing Single Column Models using High-resolution Model Simulations', in review, Journal of Advances in Modeling Earth Systems (JAMES).

For full details of the parent Cascade simulation, see Holloway et al (2012). In brief, the simulations were produced using the limited-area setup of the MetUM version 7.1 (Davies et al, 2005). The model is semi-Lagrangian and non-hydrostatic. Initial conditions were specified from the ECMWF operational analysis. A 12 km parametrised convection run was first produced over a domain 1 degree larger in each direction, with lateral boundary conditions relaxed to the ECMWF operational analysis. The 4 km run was forced using lateral boundary conditions computed from the 12 km parametrised run, via a nudged rim of 8 model grid points. The model has 70 terrain-following hybrid levels in the vertical, with vertical resolution ranging from tens of metres in the boundary layer, to 250 m in the free troposphere, and with model top at 40 km. The time step was 30 s.

The Cascade dataset did not include archived soil variables, though surface sensible and latent heat fluxes were archived. When using the dataset, it is therefore recommended that the IFS land surface scheme be deactivated and the SCM forced using the surface fluxes instead. The first day of Cascade data exhibited evidence of spin-up. It is therefore recommended that the first day be discarded, and the data used from April 7 - April 16.

The software used to produce this dataset are freely available to interested users;
1. "cg-cascade"; NCL software to produce OpenIFS forcing fields from a high-resolution MetUM simulation and necessary ECMWF boundary files.
https://github.com/aopp-pred/cg-cascade
Furthermore, software to facilitate the use of this dataset are also available, consisting of;
2. "scmtiles"; Python software to deploy many independent SCMs over a domain.
https://github.com/aopp-pred/scmtiles
3. "openifs-scmtiles"; Python software to deploy the OpenIFS SCM using scmtiles.
https://github.com/aopp-pred/openifs-scmtiles

Citable as:  Christensen, H.M.; Dawson, A.; Holloway, C. (2018): Forcing files for the ECMWF Integrated Forecasting System (IFS) Single Column Model (SCM) over Indian Ocean/Tropical Pacific derived from a 10-day high resolution simulation. Centre for Environmental Data Analysis, date of citation. doi:10.5285/bf4fb57ac7f9461db27dab77c8c97cf2. https://dx.doi.org/10.5285/bf4fb57ac7f9461db27dab77c8c97cf2
Abbreviation: Not defined
Keywords: NERC, CASCADE

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://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

The high-resolution parent simulation was produced under the NERC Cascade project using the limited-area setup of the MetUM version 7.1 (Davies et al, 2005). This parent simulation was used to derive initial conditions and forcing profiles for the Single Column Model version of the Integrated Forecasting System. The data were produced for, and tested on, IFS CY40R1, but will be suitable for earlier model cycles, and also for future versions assuming no new boundary fields are required by a later model. Delivered to the CEDA Archive by the author.

Data Quality:
Research Data
File Format:
NetCDF

Process overview

This dataset was generated by the computation detailed below.
Title

MetUM version 7.1

Abstract

The parent simulation was produced with the limited area version of MetUM version 7.1. This simulation was processed to produce IFS CY40R1 SCM input fields using the 'cg-cascade' software available at https://github.com/aopp-pred/cg-cascade.

Input Description

None

Output Description

None

Software Reference

None

  • units: kg/kg/s
  • long_name: Advective Q tendency
  • var_id: qadv
  • units: K/s
  • long_name: Advective T tendency
  • var_id: tadv
  • units: m/s^2
  • long_name: Advective U tendency
  • var_id: uadv
  • units: m/s^2
  • long_name: Advective V tendency
  • var_id: vadv
  • units: (0 - 1)
  • long_name: Albedo
  • var_id: albedo
  • units: rad
  • long_name: Angle of sub-gridscale orography
  • var_id: anor
  • units: -
  • long_name: Anisotropy of sub-gridscale orography
  • var_id: isor
  • units: count
  • long_name: Atmospheric Model Half Levels
  • var_id: nlevp1
  • units: count
  • long_name: Atmospheric Model Levels
  • standard_name: atmosphere hybrid sigma pressure coordinate
  • var_id: nlev
  • units: Pa/s
  • long_name: Covariant Vert. Vel.
  • var_id: etadotdpdeta
  • units: -
  • long_name: Forecast logarithm of surface roughness for heat
  • var_id: heat_rough
  • units: m
  • long_name: Forecast surface roughness
  • var_id: mom_rough
  • units: m/s
  • long_name: Geostrophic U wind
  • var_id: ug
  • units: m/s
  • long_name: Geostrophic V wind
  • var_id: vg
  • units: m
  • long_name: Height - full level
  • var_id: height_f
  • units: m
  • long_name: Height - half level
  • var_id: height_h
  • units: (0 - 1)
  • long_name: High vegetation cover
  • var_id: high_veg_cover
  • units: K
  • long_name: Ice surface temperature layers 1-4
  • var_id: t_sea_ice
  • units: kg/kg
  • long_name: Ice water mixing ratio
  • var_id: qi
  • units: (0 - 1)
  • var_id: lsm
  • long_name: Land-sea mask
  • units: kg/kg
  • long_name: Liquid water mixing ratio
  • var_id: ql
  • units: (0 - 1)
  • long_name: Low vegetation cover
  • var_id: low_veg_cover
  • units: Pa
  • long_name: Pressure - full level
  • var_id: pressure_f
  • units: Pa
  • long_name: Pressure - half level
  • var_id: pressure_h
  • units: K
  • long_name: Sea surface temperature
  • var_id: open_sst
  • units: (0 - 1)
  • long_name: Sea-ice cover
  • var_id: sea_ice_frct
  • units: m of water
  • long_name: Skin reservoir content
  • var_id: q_skin
  • units: -
  • long_name: Slope of sub-gridscale orography
  • var_id: slor
  • units: m
  • var_id: snow
  • long_name: Snow Depth
  • units: K
  • var_id: t_soil
  • long_name: Soil temperature layers 1-4
  • units: count
  • long_name: Soil/Sea-Ice Model Levels
  • var_id: nlevs
  • units: m
  • long_name: Standard deviation of filtered subgrid orography
  • var_id: sdfor
  • units: -
  • long_name: Standard deviation of orography
  • var_id: sdor
  • units: -
  • long_name: Type of high vegetation
  • var_id: high_veg_type
  • units: -
  • long_name: Type of low vegetation
  • var_id: low_veg_type
  • units: m**3 m**-3
  • long_name: Volumetric soil water layers 1-4
  • var_id: q_soil
  • var_id: q
  • units: kg/kg
  • long_name: Water vapor mixing ratio
  • units: 0-1
  • var_id: cloud_fraction
  • long_name: cloud fraction
  • long_name: latitude
  • var_id: lat
  • units: deg N
  • long_name: longitude
  • var_id: lon
  • units: deg E
  • units: W m-2
  • long_name: surface heat flux w/m2
  • standard_name: surface_downward_sensible_heat_flux
  • var_id: sfc_sens_flx
  • units: W m-2
  • long_name: surface latent heat flux w/m2
  • standard_name: surface_downward_latent_heat_flux
  • var_id: sfc_lat_flx
  • standard_name: surface_altitude
  • var_id: orog
  • long_name: surface pressure after timestep
  • units: K
  • standard_name: surface_temperature
  • long_name: surface temperature after timestep
  • var_id: t_skin
  • var_id: t
  • long_name: temperature on theta levels
  • units: m s-1
  • standard_name: eastward_wind
  • var_id: u
  • long_name: u compnt of wind after timestep
  • units: m s-1
  • standard_name: northward_wind
  • var_id: v
  • long_name: v compnt of wind after timestep
  • var_id: omega
  • units: Pa/s
  • long_name: vertical velocity

Co-ordinate Variables

  • standard_name: time
  • var_id: time
  • long_name: Time
Coverage
Temporal Range
Start time:
2009-04-06T00:00:00
End time:
2009-04-16T22:59:59
Geographic Extent

 
20.0000°
 
42.0000°
 
-179.0000°
 
-20.0000°