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Dataset

 

OpenIFS@home: ensemble of forecast simulations from Ex-tropical cyclone Karl case study

Update Frequency: Not Planned
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2021-05-24
DOI Publication Date: 2021-05-24
Download Stats: last 12 months

Abstract

This dataset contains the 2000-member original validation test case for OpenIFS@home as presented in Sparrow et al 2021, GMD.

These are results from an ensemble of forecast simulations of the tropical cyclone Karl from September 2016, studied during the NAWDEX field campaign. This cyclone underwent extratropical transition and intensified in mid-latitudes to give rise to an intense jet-streak near Scotland and heavy rainfall over Norway.

The OpenIFS@Home data comprises output from the European Centre for Medium Range Weather Forecasts (ECMWF) OpenIFS model run under the BOINC framework and managed by http://climateprediction.net/ at the University of Oxford. OpenIFS is derived from ECMWF's IFS operational forecast model. The dataset consists of a 2000 member ensemble of the ECMWF OpenIFS cycle 40 release 1 model, run on the OpenIFS@home volunteer framework. The spatial resolution of the dataset is approximately 125km at the equator (corresponding to a spectral resolution of T159) with 60 vertical levels

The model output data format is WMO GRIB. Single level parameters and surface fields use GRIB-1 format whilst multi-level upper air fields use GRIB-2 format

To work with GRIB files requires the ECMWF ecCodes package. This software provides command line tools for linux/macOS for inspecting the contents of these files, such as listing parameters and meta-information

The model output files are on the native IFS grid, the so-called reduced Gaussian grid, rather than a regular latitude-longitude grid commonly used in plotting. The ECMWF metview application can be used to produce plots directly from the model output files without the need to interpolate first. Other applications exist, such as the Climate Data Operators (CDO) that can be used to first convert the GRIB model output files to netCDF for use in other plotting packages.

The data is arranged into subdirectories (one per ensemble member), each containing a zip file of the output GRIB data for that simulation. These follow the standard OpenIFS output format and represent 6 hourly snapshots throughout the forecast. The number in the filename denotes the hour of the forecast contained in each respective GRIB file

Citable as:  Sparrow, S.; Bowery, A.; Carver, G.; Koehler, M.; Ollinaho, P.; Pappenberger, F.; Wallom, D.C.H.; Weisheimer, A. (2021): OpenIFS@home: ensemble of forecast simulations from Ex-tropical cyclone Karl case study. NERC EDS Centre for Environmental Data Analysis, 24 May 2021. doi:10.5285/ed1bc64e34a14ca28fedd2731735d18a. http://dx.doi.org/10.5285/ed1bc64e34a14ca28fedd2731735d18a
Abbreviation: Not defined
Keywords: OpenIFS@home, cyclone, Karl

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:

Data were generated using ECMWF OpenIFS deployed under the CPDN distributed computing framework and then passed on to the Centre for Environmental Data (CEDA) for archiving.

File Format:
Data are WMO GRIB formatted.

Process overview

This dataset was generated by the computation detailed below.
Title ECMWF OpenIFS model deployed on unknown computer
Abstract ECMWF OpenIFS model deployed on unknown computer
Input Description None
Output Description None
Software Reference None

No variables found.

Coverage
Temporal Range
Start time:
2016-09-25T00:00:00
End time:
2016-10-01T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°