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Page 1© Crown copyright 2004 A new approach to nowcasting at the Met Office Brian Golding Head of Forecasting Research Met Office 8 th September 2005
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Page 2© Crown copyright 2004 Acknowledgements Clive Pierce Stephen Moseley Humphrey Lean Nigel Roberts Malcolm Kitchen Roger Saunders Peter Clark Roderick Smith Bob Moore Vicky Bell & many others
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Page 3© Crown copyright 2004 Outline History: Nowcasts from combined extrapolation & NWP Improved observational & NWP forecast data Future: Nowcasts from post-processed convective scale NWP
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Page 4© Crown copyright 2004 Scales of Motion & Predictability Hail shaft Thunderstorm Front Extratropical Cyclone Space Scale Lifetime Predictability Nowcast 10mins1 hr12hrs3 days 30mins3 hrs36hrs9 days 5mins30min 6hrs36hrs 1000km 100km 10km 1km MCS* * Mesoscale Convective System
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Page 5© Crown copyright 2004 InformationContent Forecast Length LogScale Log Scale (days) 0.010.11 10 Nowcast (Extrapolation Forecast) Limit (“Perfect Forecast”) NWP (Model Forecast) Basis for nowcasting
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Page 6© Crown copyright 2004 Basis for Nimrod InformationContent Forecast Length LogScale Log Scale (days) 0.010.11 10 Nowcast (Extrapolation Forecast) Limit (“Perfect Forecast”) NWP (Model Forecast) Nimrod
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Page 7© Crown copyright 2004 Nimrod Nimrod implemented 1996 6 hour nowcasts of: Precipitation rate, accumulation & type Lightning Visibility, low cloud, temperature & humidity Wind & pressure Based on Fusion of observation sources including radar & satellite Extrapolation of analysis Merged with mesoscale NWP output 5/15km grid – now 2km for precipitation Hourly output - now 5mins for precipitation Updated hourly - now 15 mins for precipitation
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Page 8© Crown copyright 2004 Basis for using convective scale NWP InformationContent Forecast Length LogScale Log Scale (days) 0.010.11 10 Nowcast (Extrapolation Forecast) Limit (“Perfect Forecast”) NWP (Model Forecast) Hi Res NWP
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Page 9© Crown copyright 2004 Improved observational & NWP forecast data Radar: Radarnet IV, implemented summer 2005 Satellite: Autosat IV, Meteosat 8, implemented summer 2004 Convective Scale NWP, implemented 2005
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Page 10© Crown copyright 2004 Improved radar processing Centralised processing system Processing in polar coordinates Vertical profile correction for bright band, beam filling, attenuation & range Clutter/anaprop removal using advanced signal processing & complementary data sources (satellite, lightning, surface) Main benefit – improved infilling in areas of clutter contamination
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Page 11© Crown copyright 2004 Improved radar clutter handling Frequency of detection (Jersey) Rain rate (Corse Hill) Radarnet III Radarnet IV
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Page 12© Crown copyright 2004 Meteosat-8 Cloud Processing Cloud mask - combination of single channel threshold tests: Meteosat-7: Vis, IR Meteosat-8: Vis0.6, Vis 0.8, IR3.9, IR8.7, IR10.8, IR12.0 Cloud top height - Meteosat-7: match of satellite BT to NWP forecast temperature allowing for boundary layer stability. (IR only) Meteosat-8: variational fit of satellite BTs to NWP forecast BTs allowing for boundary layer stability (IR6.2, IR7.3, IR8.7, IR10.8, IR12.0, IR13.4 ) Main benefit – Low cloud detection at night, especially for use in fog nowcasting and spurious radar echo removal
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Page 13© Crown copyright 2004 Improved Cloud Top Height Meteosat 7 Meteosat-8 Visible IR
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Page 14© Crown copyright 2004 Convective Scale NWP 3-hourly 4km UK NWP system, available within 1 hour of data time, implemented 2005 On-demand 1km sub-area model on trial Hourly 1km UK NWP system, available within 1 hour of data time, planned for implementation by 2010
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Page 15© Crown copyright 2004 Boscastle flash flood (16/8/2004) accumulations using 1km grid convective scale NWP 1km Radar
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Page 16© Crown copyright 2004 Visibility prediction with High Resolution NWP Visibility (m)
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Page 17© Crown copyright 2004 Scale dependent forecast skill for heavy rain location in 16 forecasts from 4 cases in summer 2003
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Page 18© Crown copyright 2004 Future: Nowcasts from post-processed NWP Integral part of NWP suite – all model output processed – minimise changes, consistent with benefit. Products transparent to different models at different lead times ( initially T+36 with Rapid Update to T+6 but will be extended to T+144 or longer ) Regrid and downscale to 2km: Model currently on 4km grid, but only resolves >~20km scales & orography Rapid Update Cycle to adjust key variables to latest observations Hourly (15min for precipitation), regardless of model update frequency Update precipitation to Radar analysis every 15 minutes Update visibility, cloud (& T, RH) to satellite/surface observations every hour Update wind/pressure to surface observations every hour Adjust early part of each forecast towards extrapolated analysis Integrate uncertainty estimates for all variables Diagnose required products from updated variables
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Page 19© Crown copyright 2004 UK NWP model & post-processing domains New 4km grid, ~20km resolution, UK NWP model, implemented 2005 Products downscaled to 2km grid & topography on standard projection and domain
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Page 20© Crown copyright 2004 Generate analysis using radar where it has good visibility, and elsewhere using variational blending of: Meteosat visible and infrared imagery calibrated against radar Lightning fixes (minimum rain rate) A very short period forecast Surface in situ weather reports Generate adjusted NWP forecast using STEPS: Compute advection field using optic flow algorithm, Decompose analysis into scale cascade, Merge model, advected analysis, autocorrelated noise, orographic enhancement, Recompose forecast. Rapid Update : Precipitation Rate
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Page 21© Crown copyright 2004 Precipitation analysis & forecast
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Page 22© Crown copyright 2004 Precipitation analysis & forecast
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Page 23© Crown copyright 2004 Precipitation analysis & forecast
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Page 24© Crown copyright 2004 Precipitation analysis & forecast
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Page 25© Crown copyright 2004 Precipitation analysis & forecast
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Page 26© Crown copyright 2004 Precipitation analysis & forecast
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Page 27© Crown copyright 2004 Precipitation analysis & forecast
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Page 28© Crown copyright 2004 Precipitation analysis & forecast
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Page 29© Crown copyright 2004 Precipitation analysis & forecast
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Page 30© Crown copyright 2004 Precipitation analysis & forecast
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Page 31© Crown copyright 2004 Precipitation analysis & forecast
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Page 32© Crown copyright 2004 Precipitation analysis & forecast
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Page 33© Crown copyright 2004 Rapid Update: Cloud Satellite images define highest cloud layer Model forecast & surface visual cloud type observations define intermediate cloud layers Surface visual & instrumental observations define lower cloud layers 29 horizontal levels, focussed near ground Analysis uses METEOSAT imagery & surface observations with forecast 1 st guess Precipitating cloud moved with precipitation vectors Non-precipitating cloud moved with model layer wind Merged with model cloud forecast
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Page 34© Crown copyright 2004 Rapid Update: Visibility x x x x x x x x x Satellite area of fog/low cloud Observations 2km grid; liquid water temperature and total water variables analysis based on METEOSAT-8 imagery and surface observations extrapolation forecast is persistence merged with mesoscale model forecast hill fog added from cloud forecast
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Page 35© Crown copyright 2004 Visibility analysis
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Page 36© Crown copyright 2004 Uncertainty estimates Precipitation – STEPS noise cascade Fog – humidity pdf Snow – land height / fractional melting Lightning – flash rate expressed as return period Severe weather – Bayesian predictor combination NWP positional uncertainty Short Range EPS ECMWF EPS Presenting NWP positional forecast uncertainty for Boscastle flash flood (a) exceedance probability (b) probable maximum for warning areas
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Page 37© Crown copyright 2004 Diagnostic outputs Precipitation type Snow & hail probability, freezing rain & drizzle Severe Weather indicators Large hail, frequent lightning & tornadoes Road State MOSES-PDM-RFM Soil moisture, run-off & river flow Fire risk Structural icing risk Strong wind risk to power transmission Distinguish normal impact risk from probability of extreme impact beyond normal planned responses.
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Page 38© Crown copyright 2004 Simulated river flow for Carlisle flood (8/1/2005) <85% 85-95% 95-100% >100%
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Page 39© Crown copyright 2004 Summary Expect 1km grid NWP to be operational by 2010 Improved NWP resolution restricts value of extrapolation to shorter lead times Extrapolation is one of many techniques for enhancing the value of NWP output Incorporate nowcasting in NWP post-processing: downscaling to standard grid frequent rapid update to latest radar/satellite/in situ observations incorporation of uncertainty diagnosis of impacts.
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