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XC Meteorology And other bullshit (c) Jim White 2014 Why do Met? • • • • • Choose whether to turn up Choose best task for day Choose glider configuration Choose pilot configuration! Avoid being in wrong place – Achieve good speed – Reduce risk of land out What do we want to know? • • • • • • • • Height of thermals? Strength of thermals? When will they start being useable? How much cloud will there be? How long is the soaring window? Wind strength and direction? How hot / cold What changes during the day? What tools do we have? • Internet – Observations: temperature, pressure, wind – Synoptics: surface, thickness, and geopotential – Meteograms: various models – Tephigrams: Measured and forecast – Model based forecast charts • Eyes and Experience – Does it feel and look right? Sources of Information • UK Met Office • US Met Office • ECMWF • Soundings • • • • XC Weather RASP Meteoblue Charts • Satellite www.meto.gov.uk www.noaa.gov ready.arl.noaa.gov/READY_animations.php www.ecmwf.int weather.uwyo.edu/upperair/sounding.html rucsoundings.noaa.gov/plot_soundings.cgi www.xcweather.co.uk rasp.inn.leedsmet.ac.uk www.meteoblue.com www.weathercharts.org www.weatheronline.co.uk/cgi-bin/expertcharts www.sat24.com/en/gb Whither our Weather? Character of Air Masses • • • • Cold air is dry and heavy Warm air is less dense and therefore light Warm air can hold more water than dry Wet air is less dense and therefore lightest • Cold air = high pressure • Warm air = low pressure • Warm wet air = lowest pressure Character of Air Masses • Cold Air Sinks • Sinking air increases pressure • Sinking air enhances stability • Warm Air Rises (when there is cold air about) • Rising air reduces pressure • Rising air encourages instability Coriolis Effect Coriolis Magic Why us? Single Cell Model Multi-cell model The Polar Front High Pressure High Pressure Low Pressure Low Pressure Rossby Waves Rossby Waves Birth of a Depression Cold and Dry Wet and Warm More Depressed! Frontal Weather Character of Depressions • • • • • Wind blows around it due to Coriolis effect Wind speed dependent on pressure gradient Depressions move W to NE at 10-30kts Cold front moves 50% faster than warm Warm sector is unstable and wet because it is being squeezed and is rising • Following cold sector is conditionally unstable because it is cold and contains some moisture Approaching Warm Front Warm Sector Post Cold Front What’s on a synoptic chart? • • • • • • • Isobars – lines of equal pressure Geopotential height contours (or thickness) Isotherms – lines of equal temperature Weather system centres Weather system tracks Fronts – cold, warm, and occluded Troughs and ridges MSLP, Geopotential, & Thickness What can a synoptic tell us? • • • • • • Locations of highs and lows Pressure and gradient Wind direction and strength Location of fronts, troughs, ridges Source and character of airmass Some also plot temperature / dew point Te-phi-grams! Environmental Lapse Rate Lapse Rates 12000 10000 Altitude 8000 ELR 6000 DALR 4000 2000 0 0 2 4 6 8 10 12 14 16 18 20 22 24 26 Dry Adiabatic Lapse Rate Lapse Rates 12000 10000 Altitude 8000 ELR 6000 DALR 4000 2000 0 0 2 4 6 8 10 12 14 16 18 20 22 24 26 Saturation Mixing Ratio Lapse Rates 12000 10000 Altitude 8000 ELR 6000 DALR SMR 4000 2000 0 0 2 4 6 8 10 12 14 16 18 20 22 24 26 SkewT log P Larkhill Ascent Larkhill 15C Larkhill 20C BOB FRO EVE BOO 300K What can a tephigram tell us? • Atmospheric profile at a single location and point in time – Environmental lapse rate – Moisture content – Predicted ascent of a parcel or warm air – Cloud base, top, and amount – Thermal strength and start time – Cloud amount, likelihood of convective showers – Wind profile and other useful indices What can a meteogram tell us? • Forecast parameters for a single location – Temperature – Humidity – Pressure – Wind – Cloud / Rain – Radiation • Changes over time Temperature and Dew Point Atmosphere Cloud and Precipitation Surface Pressure Wind and Radiation Parameter Charts Regional Atmospheric Soaring Prediction (RASP) XC-Weather More Information and Acknowledgements • • • • Met Office - www.metoffice.gov.uk Scott Haby – theweatherprediction.com Wikipedia – surprisingly useful ww2010.atmos.uiuc.edu/(Gh)/guides/home.rxml