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Predictability of Extreme Weather Events. Alfredo Rocha, Tiago Luna, Juan Ferreira, Ana Carvalho and João Sousa 05-07-10. Grupo de Meteorologia e Climatologia na Universidade de Aveiro http://climetua.fis.ua.pt. Departamento de Física.
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Predictability of Extreme Weather Events Alfredo Rocha, Tiago Luna, Juan Ferreira, Ana Carvalho and João Sousa 05-07-10 Grupo de Meteorologia e Climatologia na Universidade de Aveiro http://climetua.fis.ua.pt Departamento de Física
Some research centres do research in meteorology (i.e. weather forecasting) and climate. • This effort should produce added value to better forecast of extreme events (amongst others) as a public service. • This requires strong and well defined colaboration between Universities and State Laboratories. • It is also needed more critical mass of high quality in meteorology/climate research. Model validation Ensemble forecasting Forecast verification Data assimilation Major tasks which require collaboration
How can research (at Unis and RUs) contribute to better prediction of Extreme Weather Events 3 case-studies: • Flash floods and land slides in Madeira on the 20th February 2010 • Wind storm in the Torres Vedras region on the 23rd December 2009 • Precipitation event in the Lisbon/Setúbal region on the 18th February 2008 These events have not been (fully) predicted by operational weather forecast institutions
1. Extreme precipitation event - Madeira – 20th February 2010 Questions: 1. Was the event predictable? 2. If yes: How long before? With maxima correct? Without phase error? 3. Origin: Synoptic or ographic? 5. Relevance of model horizontal resolution and parametrizations?
The cause of the catastrophe was not just meteorological • There have been similar precipitation amounts in the past without catastrophe Model WRF-ARW 3.1 Initial and Boundary conditions Forecasts (3h-3h) and Analyses (6h-6h) from GFS 0.5ºx0.5º
D1 – 25 x 25 km D2 – 5 x 5 km D1 – 25 x 25 km D2 – 5 x 5 km D3 – 1 x 1 km Simulations with Weather Research and Forecasting (WRF) model D1 – 25 x 25 km D2 – 5 x 5 km operational
Madeira ‘as seen’ by WRF 1 km horizontal resolution zmax ~ 270 m – A model is always a model! IM stations with hourly prcp data
Were ICs and BCs (GFS forecasts) good? Diference (%) of 3-D integrated precipitable water GFS forecasts and GFS Analyses ‘Break’ of predictability? Some predictability at 3 days?
Accumulated Prcp (mm/day), on the 20.02, D03 – 1 x 1 km ICs - 00h 20.02.2010 Similar maxima for 5 x 5 km Topography determinant
ICs 00h 20.02 Average PRCP (mm/day) - south coast 2-3 h Phase errors
Local PRCP run 7 (D03) / IM (without cumulus parametrization) ICs 00h 20.02 Phase and amplitude +/-correct!
12h 2d 24h 36h 5d 3d 4d 7d 6d
60 50 40 30 20 10 0 0 Obs - IM PRCP (mm/h) - Funchal ICs from 12h of 13.02 (7 days) till 06h of 19.02 (1 day) Daily amounts +/- OK, but intensity wrong!
Conclusions: • Some predictability from 3 days. ICs e BCs (GFS forecasts) are determinant • Precipitation of orographic origin • Horizontal resolution not important for regional PRCP but important for local PRCP • Local PRCP +/- correct (phase and amplitude) only for ICs 12h prior to the event • Cumulus parametrization not important
2. Wind storm in the Torres Vedras region on the 23rd December 2009 • Max wind gust at IM Stations: • Torres Vedras – 141.8 km/h – 4:40 am • Cabo Carvoeiro – 140.4 km/h – 4:50 am Max wind gust estimated by IM using Doppler Radar: ~ 200 km/h propagating SW to NE
Simulations with WRF: 1 x 1 km horizontal resolution 25 to 85 vertical levels ICs 00h 22.12.2009 Parametrization of wind gusts (ECMWF Newsletter, 119, Spring 2009, 15-18). Operational at WCMWF since Sep. 2008. Total gust = turbulent gust + convective gust Applied to WRF output
X X X X Max. (WRF) inst. Windspeed 00h-06h Max. Turbulent wind gust 00h-06h m/s Max ~70 km/h
Max. Convective wind gust 00h-06h Max. Total wind gust 00h-06h m/s Max ~20 km/h Max >160 km/h
3. Precipitation event in the Lisbon/Setúbal region on the 18th February 2008 • 118 mm/day - Record daily PRCP at Lisboa/Geofísico • 36 mm/h 4 - 5 am in Lisbon • 40 mm/h 11 – 12 am in Setúbal
5 WRF simulations • Two WRF operational spatial configurations/resolution OP1 and OP2 • Two different sets of parametrizations • Assimilation of radiosonde and surface data for one domain/param. configuration
OP1 L (d01) = 25 kmL (d02) = 5 km Vertical levels = 27 OP2 L (d01)= 21 km L (d02) = 7 km Vertical levels = 26