Model Output Location Time Series (MOLTS) data from global forecast systems to support the Coordinated Enhanced Observing Period (CEOP). The collection includes outputs from NOAA/NCEP's Global Forecast System, the UK Met Office, and the Japan Meteorological Agency. Organization SCIOPS produced this data, which is stored in the CERA database at the Max Planck Institute for Meteorology.
Use Cases
- Validate model forecasts from NOAA/NCEP GFS, UKMO, and JMA systems against CEOP observational data using location time series.
- Analyze temporal patterns in atmospheric variables provided in the Model Output Location Time Series (MOLTS).
- Compare performance and biases across different global forecast models (GFS, UKMO, JMA) for the same geographic locations.
- Support reanalysis and climate studies by integrating this model output data with enhanced observational period records.
Strengths
- Includes output from multiple major global forecast models (NOAA/NCEP GFS, UKMO, JMA).
- Data is structured as Model Output Location Time Series (MOLTS), providing temporal sequences at specific points.
- Hosted in the authoritative CERA database at the Max Planck Institute for Meteorology.
Limitations
- Specific row counts, column names, data volume, and temporal coverage are not provided.
- The dataset description indicates other model outputs 'will be added', suggesting the collection was incomplete at publication.
- The absence of detailed metadata (columns, sample data, size) limits immediate assessment of data structure and scope.
Provenance
- Source
- CERA database at the Max Planck Institute for Meteorology.
- Collection Method
- Model output data generated by operational forecast systems (NOAA/NCEP GFS, UKMO, JMA).
- Time Range
- null
- Freshness
- null
- Geography
- Global, based on the coverage of the contributing global forecast models.