Three Essential Components of Today’s Operational Numerical Prediction Enterprise. Observations ~2 billion/day 99.9% remotely sensed, mostly from satellites Models Earth System model; coupled Global resolution (27km) North American resolution (4km) Computer - PowerPoint PPT Presentation
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Three Essential Components of Today’s Operational Numerical Prediction Enterprise
• Observations– ~2 billion/day– 99.9% remotely sensed, mostly from satellites
• Models– Earth System model; coupled– Global resolution (27km)– North American resolution (4km)
• Computer– Current
• Primary/backup15 minute switchover• 73 trillion calc/sec – IBM Power 6
– August, 2013• 208 trillion calc/sec – IBM iDataPlex Intel/Linux
• In-Situ• Radiosondes• Aircraft• Surface Stations (manned and
automated)• Buoys• Ships• PIBALs• Dropsondes
• Remotely Sensed• Radars• Profilers
Non-Satellite Data Used Operationally
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Operational ECMWF system September to December 2008. Averaged over all model layers and entire global atmosphere. % contribution of different observations to reduction in forecast error.
Courtesy: Carla Cardinaliand Sean Healy, ECMWF
Forecast error contribution (%)
O3: Ozone from satellites METEOSAT IR Rad (T,H)
MTSATIMG: Japanese geostationary sat vis and IR imagery GOES IR rad (T,H)