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Forecast Process for the GFE John Bally Bureau of Meteorology Research Centre Melbourne, Australia. GFE Overview Describe the Forecast Process Forecast Process Example. GFE Overview. Collaboration with NOAA Grid Based Smart Tools Automated Text Generation Digital Forecast Database
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Forecast Process for the GFE John BallyBureau of Meteorology Research CentreMelbourne, Australia
GFE Overview • Describe the Forecast Process • Forecast Process Example
GFE Overview • Collaboration with NOAA • Grid Based • Smart Tools • Automated Text Generation • Digital Forecast Database • Great Potential for Service Improvements
GFE Overview Aim • Support existing and new text services • Data source for new web/graphics services • Mechanism to implement more systematic forecast process • Enable detailed verification > continuous quality improvement
GFE : Forecast Process Assumption • Forecasters add value over NWP • Mesoscale effects • Use of observations • Weather description • Warning decisions • Strategy / risk management • Communicating uncertainty
GFE : Forecast Process Principles • Coherent and meteorologically reasonable “story” • NOT dynamically consistent “model” • Common approach, consistency, intersite co-ordination
GFE : Forecast Process Sources of Guidance • OCF (surface, downscaled consensus forecast) • Short Term Model (surface and some upper) • Long Term Model (surface and some upper) • MSAS (hrly, 5km mesoscale analysis) • Other Inputs • soil dryness, grass curing • thunderstorm forecast guidance • TC tracks, nowcasts TS areas
GFE : Forecast Process Assimilation of Guidance • Always have a grid from yesterday • Value in yesterday’s grid • Smooth evolution of forecast • Effort in defining local effects << < < < < ^ M
GFE : Forecast Process Assimilation of Guidance • Evaluate against new models • Change over guidance • Change of guidance << < < < < ^ ^ ^ ^ ^ ^ ^ M M M M M M M
GFE : Forecast Process Anchor Parameters • Represent main features of forecast policy • Wind, T, Td, Sky, PoP1
GFE : Forecast Process Other Parameters – public & marine
GFE : Forecast Process More Parameters – uppers, fire wx& others
GFE : Forecast Process National Liaison • Policy discussion before guidance choice and adjustment • All grids inter-site co-ordination during and after grid editing
GFE : Forecast Process Broadscale Adjustment • Time of change • Adjust wind change • Adjust change intensity • Cyclone vortex
GFE : Forecast Process Detailed Adjustment (wind) • Blend in analysis • Seabreezes / landbreezes • Topographic effects (wind-effects tool) • Low level jets / diurnal mixing • Serp tool – fine tune for significant locations
GFE : Forecast Process Detailed Adjustment (temp) • Blend in analysis • Create / adjust min / max • Temp effects from sea/ land breezes • “Adjust” tool and “wind effects” to fine tune for topo effects • Cloud – precip effects on temp • Strong / light wind effects on min temp • Serp tool – fine tune for significant locations • “FitToMinMax” to adjust h’ly temp
GFE : Forecast Process Detailed Adjustment (PoP1) • P(>= 1mm in 1 hr) • Consistency with current (sat/radar/gauge) • Topo effects / rain shadow “wind Effects” tool • Convective > increase PoP with altitude • Consistency with daily PoP grids
GFE : Forecast Process Weather grids • showers, thunderstorms • rain, drizzle, snow, sleet • fog, frost • dust, haze, smoke, volcanic ash
GFE : Forecast Process Weather grids • Coverage (area covered or likelyhood) • Intensity
GFE : Forecast Process Define Precipitating Weather • Area from PoP1 • Intensity from QPF • Type from stability • Phase from thickness or wet bulb freezing level
GFE : Forecast Process Consistency checks • Sky / Precip / PoP / Wx • T / Td / Tmax / Tmin / RH • Wind / Gust • Inter – Site - Coordination
GFE : Forecast Process Other Steps • Create Hazards • Run Text Formatters • Populate Digital Forecast Database