Andrew Mirza Aviation Weather Products UK Met Office · · 2007-01-31Andrew Mirza. Aviation Weather Products. ... WAFCs provide international forecasting services to meet Annexe
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Main dissemination is by broadcast via Satellite Distribution (SADIS) that delivers ICAO products to customers’
desktop systems in more than 90
states•
Customers are kept informed about developments via the SADIS message board (http://www.icao.int/anb/wafsopsg/
or http://www.metoffice.gov.uk/sadis/news/)
•
Upgrade from SADIS to SADIS-2G expected to be completed by Dec 2008, providing greater resilience and cost effectiveness:
•
Industry standard protocols•
Commercial Off-the-Shelf solutions to display digitally encoded products (BUFR & GRIB) in addition to coded text messages and SADIS administration messages (http://www.metoffice.gov.uk/sadis/software/index.html)
Winds and TemperatureForecasts are compared against the model's analysis for the same time. For wind, the computed errors are Root Mean Square Vector errors - this takes into account errors in the wind direction as well as the wind speed. For temperature the errors are Root Mean Square errors
Area 2 is a Met Office defined area, covering the north Atlantic
and parts of western Europe and north America. We have a long time series of data for this area which shows a steadily improving performance over the years.
WAFS Aviation Weather Products (New Products and Services)
Thinned GRIBThe Met Office Global Model has been downscaled to provide a 1.25 degree resolution product in latitude and longitude and covers the globe in eight sections, such that each section contains the same number (3447) of points.
New gridded products available on Thinned GRIB
ThunderstormsHeights of Cb tops
Icing Mean and Max Icing Potential
TurbulenceProbability of CATIn-layer Cloud Turbulance
WAFS Aviation Weather Products (New Products and Services)
• Various fields available:-
CB horizontal extent (%)-
Pressure/height of CB top-
Pressure/height of CB base-
Pressure/height of embedded CB top
-
Pressure/height of embedded CB base
• Produced using convective cloud forecast fields, where the cloud top is colder than -
30˚C
• Embedded CB fields produced where CBs occur adjacent to layer cloud
• A weakness of the product arises when downscaling from 40km to 140km (thinned GRIB) where isolated CB cells are kept whereas the spatial extent of larger CB cells maybe reduced due to the loss of these cells. This could be overcome by using a cluster algorithm.
WAFS Aviation Weather Products (New Products and Services)
• Theory of CAT well advanced –
for shear induced CAT it is acknowledged that Lagrangian
rate of change of Richardson Number should be a good predictor
– Richardson number depends on ratio of vertical wind shear to static stability– Lagrangian
Rate of change is rate of change following the motion of a fluid particle– This gives highly non-linear, highly differentiated product – Errors in wind and temperature field can be amplified
• CAT predictions are verified by comparison with reports of turbulence (manual or automatic)• There are simpler algorithms than Lagrangian
rate of change of Richardson Number• Dutton[1] algorithm uses vertical and horizontal wind shear and was derived empirically• Elrod [2] TI1 algorithm uses vertical wind shear and horizontal wind deformation• Turner [3] algorithm uses a 3-D gravity wave stress field computed from 200hPa wind field• In the GRIB products we provide a CAT Index based on the maximum
probability value from the set of values computed from Elrod TI1 algorithm and the Turner Mountain Wave algorithm
[1] Dutton, M.J.O. 1980: ‘Probability forecasts of clear-air turbulence based on numerical model output’. Meteorological magazine, vol
109, pp293-310.[2] Ellrod, G. P. and Knapp, D. I. 1992: ‘An Objective Clear Air Turbulence Forecasting Technique: Verification and Operational Use’. Weather
Forecasting, vol. 7, pp 150-165.[3] Turner, J. 1999: ‘Development of a mountain wave turbulence prediction scheme for civil aviation’. Met Office Forecasting Research Technical
Met Office Aviation Weather Products (New Products and Services)
Advanced Weather Service –web based service development in partnership with SITA
SITA is a commercial organisation that has evolved from its original forum as the 'Société Internationale de Télécommunications Aéronautiques‘
Interactive service allowing the customer to overlay current and planned flight routes with weather information, e.g., forecasts of upper air winds, current rainfall radar and satellite imagery (compare with Geographic / Geospatial Information Systems)
Aircraft - De-icing forecast serviceForecasts 24-hours ahead at one hourly intervals from single site forecast model; five-day outlook based on ensemble forecastsWhere observations exist, ensemble forecasts have been modified using a Kalman Filter (a statistical method)Forecast accuracy sensitive to precision of the observations and siteingof observation stationProvides holdover times based on FAA guidelines for de-icing fluidsBMI Case Study http://www.metoffice.gov.uk/aviation/Met-Office-bmi.pdf
Airports - Open RunwayForecasts of rain, frost, snow, ground icing, frost and freezing fog24-hours ahead at one hourly intervals and five-day outlookUses surface-type, screen and dew-point temperatures, estimates of surface-type temperature from the Met Office Road Surface Temperature Model – models surface heat balance to 20 levels (spaced non-linearly ~ 1centimetre to 150 centimetres) below ground Some airports have temperature sensors installed in the runway that provide observations at 20 minute intervals
Air Traffic Management - Optimum RoutesThe Met Office supplies five-day forecasts of optimum routes across the North Atlantic to NATS at Swanwick. Optimum route is computed using winds at 250 hPa, grid resolution 40km
Met Office Development Programme 2006 - 2010Automation of Services
TAFsEnhance automation of production of SIGWX charts
improve algorithms to identify embedded thunderstorms, location of the jet stream and height of the tropopause
Upgrades to Environment Monitoring and Response CentreImplementation of latest version of Numerical Atmospheric dispersion Model – NAME – III, incorporates,
Training of forecasters to provide advice for Volcanic Ash DispersionNAME – III validation: maintain an archive of modelled events for any large eruptions
Aims areTo provide better resolution of high impact weather in convective scale modelsTo enable our customers to utilise better the weather information we provide
ImprovementsTo implement higher resolution grid lengths for the UK forecast fields (4 km to 1.5 km) and Global forecast fields (40 km to 25 km)
To implement by 2010 a suite of tools, updated hourly between T+00 and T+06 hours, to forecast high impact weather up to 24 hours ahead
To provide estimates of confidence in the short-range forecast (T+00 to T+72) estimated from the 24-member Met Office Global and Regional Ensemble Prediction System (MOGREPS)
Examples from MOGREPSForecast Lead time of 6 hours for probability that Visibility < 1000m, Areas of 10m Wind speed > 22 knots, Cloud base < 500m with more than 4.5 oktas, Areas of Level 6 wind speed > 40 knots, surface pressure > 1020 hPa, and Areas where precipitation is > 5 mm/hr
Met Office Research Programme 2006 – 2010“integrated post-processing system”
To implement by 2010 an improved infrastructure that will provide automated and value-added products and servicesTo develop an integrated logical data store that is updated more frequently than the main production suite, providing nowcast forecasts (1 – 6 hours) that incorporate the latest observational, satellite and numerical data; and to provide enhanced products on a finer grid resolutions (< 1 km), where single-site forecasts take into account the effects of local orography, coastal effects, surface processes and land useSingle site forecasts will use an “intelligent” grid point selection algorithm near the selected site.
For the underlying core capability of the Met Office (selected high lights):Development of a new convective scale NWP model and data assimilation with a grid length of about 1kmReformulation of the Unified Model dynamical coreUtilise more satellite dataImplement operationally the trial version of MOGREPSResearch into perturbations to resolve more effectively storm scale convection within ensemblesDevelop forecaster tools for risk assessment of high impact weatherDevelop the Unified Model to represent atmospheric dispersion and chemistry processSupport development of Weather Information Management Systems for predicting CAT, thunderstorms, icing and wake vortex movement and dissipation.