MeteoExpert workstation.MeteoExpert workstation. Visualization of new Visualization of new gridded forecastsgridded forecasts
Tatiana Bazlova, Institute of Radar Tatiana Bazlova, Institute of Radar Meteorology Meteorology
St. – Petersburg, RussiaSt. – Petersburg, RussiaWAFS Workshop,WAFS Workshop, Paris, Paris, 114-4-115 September, 5 September, 20092009
IRAM: key features
Resources
Clients
Key Figures • Foundation - 1991
• Employees: ~ 50 staff, mainly engineers and meteorologists, 6 doctors of science & PhDs
• ISO 9001-2001 Certificate • Own facilities
• Own Production, Training and Test Ranges
• Aviation and Air Traffic Control
• Meteorological Centers and Service Providers
• Road Authorities
IRAM: Main fields of application• AviationAviation• Meteorological radar observation Meteorological radar observation
networknetwork• Surface observation networkSurface observation network• Motor transportMotor transport
• Total number of installations: Total number of installations: >800 in 10 countries>800 in 10 countries
• Systems are in operational use at Systems are in operational use at 85 airports85 airports
Meteorological provision of air navigationMeteorological provision of air navigation
Systems• AWOS
• Telecommunication system
• Forecaster’s workstation
• Briefing workstation
• SADIS 2G workstation (the software passed all the Met Office tests in 2004 – 2009)
• Weather radar system
• RWIS for runways
Services • Installation
• Training
• Maintenance
• Modernization, Upgrades
New gridded WAFS forecastsNew gridded WAFS forecasts
• Forecasts for icingForecasts for icing, , turbulence and CB cloudsturbulence and CB clouds (ICE/TURB/CB) in the GRIB code form(ICE/TURB/CB) in the GRIB code form
• Available via SADIS FTPAvailable via SADIS FTP• Improvement in the temporal and space resolutionImprovement in the temporal and space resolution
- from 6 to - from 6 to 3 3 hourhour (Т+6, Т+9, …, Т+36) (Т+6, Т+9, …, Т+36)- additional levels around jet stream - additional levels around jet stream
(FL320,360)(FL320,360)• Greater detail in comparison with the existing Greater detail in comparison with the existing
SIGWX forecastsSIGWX forecasts• Recommended time period for use ±Recommended time period for use ±11 hour hour 30 30 min min• Implementation inImplementation in 2010 ( 2010 (AmendmentAmendment 75 75 to Annexto Annex 3) 3)
SettingsSettings
• AreaArea• ElementElement• LevelLevel• CenterCenter• Lead timeLead time• Data timeData time• View modeView mode
Icing (ICE) thinned GRIB dataIcing (ICE) thinned GRIB data
• A measure of the likelihood of encountering A measure of the likelihood of encountering icing conditions all over the globeicing conditions all over the globe
• Mean Icing PotentialMean Icing Potential – mean value within a – mean value within a gridbox gridbox
• Maximum Icing PotentialMaximum Icing Potential - maximum value - maximum value within a gridbox within a gridbox
• AtAt 5 levels5 levels – – 707000, 600, 500, 400, and, 600, 500, 400, and 300 300 hPa hPa (vertical interval of 100hPa)(vertical interval of 100hPa)
ММeeааnn Icing PotentialIcing Potential FL 180FL 180
VALID 00 UTC VALID 00 UTC 25.02.200925.02.2009
BASED ON 12BASED ON 12
UTC DATA ONUTC DATA ON
24.02.200924.02.2009
ModerateModerate and and
severesevere values values
are to beare to be
indicated inindicated in
yellow and redyellow and red
МахМахimumimum Icing PotentialIcing Potential
FL 180FL 180
VALID 00 UTC VALID 00 UTC 25.02.200925.02.2009
BASED ON 12BASED ON 12
UTC DATA ONUTC DATA ON
24.02.200924.02.2009
TURB thinned GRIB dataTURB thinned GRIB data• In-Cloud Turbulence PotentialIn-Cloud Turbulence Potential - a - a
measure of the likelihood of measure of the likelihood of encountering turbulence in layer cloudencountering turbulence in layer cloud
• Mean In-Cloud Turbulence Potential – Mean In-Cloud Turbulence Potential – the mean value within a gridboxthe mean value within a gridbox
• Maximum In-Cloud Turbulence Maximum In-Cloud Turbulence Potential – the maximum value within Potential – the maximum value within a gridboxa gridbox
• At 5 levels - 70At 5 levels - 7000, 600, 500, 400, and, 600, 500, 400, and 300 300 hPahPa
ММeeааnn In-Cloud TurbulenceIn-Cloud Turbulence
FL 100FL 100VALID 12 UTC VALID 12 UTC
24.02.200924.02.2009BASED ON 12BASED ON 12UTC DATA ONUTC DATA ON24.02.200924.02.2009
Yellow and redYellow and redcolours colours correspond tocorrespond tomoderatemoderate and andseveresevere values values
МахМахimumimum In-Cloud TurbulenceIn-Cloud Turbulence Standard qualifiersStandard qualifiersfor description offor description ofmoderatemoderate and andseveresevere turbulence turbulenceare indicated byare indicated bythe color scalethe color scale
Relations shouldRelations shouldbe set betweenbe set betweenstandard termsstandard termsand qualifiers usedand qualifiers usedto describeto describeICE/TURB/CB inICE/TURB/CB ingridded forecastsgridded forecasts(calibration issue)(calibration issue)
TURB thinned GRIB dataTURB thinned GRIB data• CAT PotentialCAT Potential - a measure of the - a measure of the
likelihood of encountering moderate or likelihood of encountering moderate or severe clear air turbulence per 100km of severe clear air turbulence per 100km of route flownroute flown
• Mean CAT Potential - the mean value Mean CAT Potential - the mean value within a gridboxwithin a gridbox
• Maximum CAT Potential - the Maximum CAT Potential - the maximum value within a gridboxmaximum value within a gridbox
• At At 55 levels levels – 400, 300, 250, 200 – 400, 300, 250, 200,, andand 150 150 гПагПа..
ММeeааnn CAT PotentialCAT Potential
FL 300FL 300
VALID 12 UTC VALID 12 UTC 24.02.200924.02.2009
BASED ON 06BASED ON 06
UTC DATA ONUTC DATA ON
24.02.200924.02.2009
МахМахimumimum CAT PotentialCAT Potential
FL 300FL 300
VALID 12 UTC VALID 12 UTC 24.02.200924.02.2009
BASED ON 06BASED ON 06
UTC DATA ONUTC DATA ON
24.02.200924.02.2009
CB cloud GRIB dataCB cloud GRIB data
• CB forecasts CB forecasts – – convective cloud forecasts all over convective cloud forecasts all over the globethe globe
• CB horizontal extent – the horizontal coverage of CB horizontal extent – the horizontal coverage of CB within a grid box at all levelsCB within a grid box at all levels
• Pressure at CB base and at CB topPressure at CB base and at CB top,,• Pressure at Embedded CB base and at Pressure at Embedded CB base and at
Embedded CB topEmbedded CB top• ICAO height at CB base and at CB topICAO height at CB base and at CB top• ICAO height at Embedded CB base and at ICAO height at Embedded CB base and at
Embedded CB topEmbedded CB top
CB Horizontal ExtentCB Horizontal Extent
CB COVER, %CB COVER, %
VALID 18 UTC VALID 18 UTC 24.02.200924.02.2009
BASED ON 12BASED ON 12
UTC DATA ONUTC DATA ON
24.02.200924.02.2009
All values areAll values are
shown in yellow toshown in yellow to
red coloursred colours
Pressure at CB base, hPaPressure at CB base, hPa
VALID 18 UTC VALID 18 UTC 24.02.200924.02.2009
BASED ON 12BASED ON 12
UTC DATA ONUTC DATA ON
24.02.200924.02.2009
All values areAll values are
shown in digitalshown in digital
formform
Pressure at CB top, hPaPressure at CB top, hPa
VALID 18 UTC VALID 18 UTC 25.02.200925.02.2009
BASED ON 12BASED ON 12
UTC DATA ONUTC DATA ON
24.02.200924.02.2009
Height at CB top, kftHeight at CB top, kft
VALID 18 UTC VALID 18 UTC 24.02.200924.02.2009
BASED ON 12BASED ON 12
UTC DATA ONUTC DATA ON
24.02.200924.02.2009
For verificationFor verification
can be comparedcan be compared
with radar datawith radar data
Integrated data for ICE/TURB/CBIntegrated data for ICE/TURB/CB
• It should be clear for the user how to interpret new It should be clear for the user how to interpret new data. Each of ICE/TURB should be characterized by data. Each of ICE/TURB should be characterized by single parameter. Thresholds (light, moderate and single parameter. Thresholds (light, moderate and severe) need to be determined. severe) need to be determined.
• Integrated ICE/TURB/CB data is displayed as Integrated ICE/TURB/CB data is displayed as hazard hazard contourscontours – the most useful information for users. – the most useful information for users.
• Hazard zones are found out where ICE and/or TURB Hazard zones are found out where ICE and/or TURB and/or CB values exceed the corresponding thresholds. and/or CB values exceed the corresponding thresholds.
Hazard contoursHazard contours
Hazard contours (in red)Hazard contours (in red)
indicate zones whereindicate zones where
ICE and/or TURBICE and/or TURB
and/or CB values exceedand/or CB values exceed
the corresponding severethe corresponding severe
thresholdsthresholds
It seems to be most simpleIt seems to be most simple
and informative alternativeand informative alternative
of ICE/TURB/CBof ICE/TURB/CB
visualization for usersvisualization for users
Concatenated forecasts for long-haul flightsConcatenated forecasts for long-haul flights
• ICAO Annex 3 is to be developed to ICAO Annex 3 is to be developed to enable the provision of concatenated enable the provision of concatenated route-specific forecasts (WAFSOPSG/4)route-specific forecasts (WAFSOPSG/4)
• Concatenated WIND/TEMPERATURE Concatenated WIND/TEMPERATURE forecastsforecasts can be displayed at a composite can be displayed at a composite chartchart (Т+12, Т+18, Т+24) (Т+12, Т+18, Т+24)
• ConcatenatedConcatenated ICE/TURB/CBICE/TURB/CB forecastsforecasts can be displayed at a composite chartcan be displayed at a composite chart (Т+12, Т+18, Т+24)(Т+12, Т+18, Т+24)
Wind+TWind+T composite composite ((WestWest-->East>East))
FL 100FL 100
VALIDVALID 00 UTC 25.02.2009 06 UTC 25.02.2009 12 UTC 25.02.200900 UTC 25.02.2009 06 UTC 25.02.2009 12 UTC 25.02.2009
Wind+TWind+T composite composite ((EastEast-->West>West))
FL 100FL 100
VALIDVALID 12 UTC 25.02.2009 06 UTC 25.02.2009 00 UTC 25.02.200912 UTC 25.02.2009 06 UTC 25.02.2009 00 UTC 25.02.2009
Wind+TWind+T composite composite ((NorthNorth-->South>South))
FL 180FL 180
ValidValid 00 UTC 25.02.200900 UTC 25.02.2009
ValidValid 06 UTC 25.02.200906 UTC 25.02.2009
ValidValid 12 UTC25.02.200912 UTC25.02.2009
WIND+T composite WIND+T composite ((SouthSouth-->North>North))
FL 340FL 340
ValidValid 12 UTC 25.02.200912 UTC 25.02.2009
ValidValid 06 UTC 25.02.200906 UTC 25.02.2009
ValidValid 00 UTC25.02.200900 UTC25.02.2009
Max TURB composite Max TURB composite ((WestWest-->East>East))
FL 140FL 140
VALIDVALID 18 UTC 24.02.2009 00 UTC 25.02.2009 06 UTC 25.02.200918 UTC 24.02.2009 00 UTC 25.02.2009 06 UTC 25.02.2009
Max In-Cloud TURB composite Max In-Cloud TURB composite ((NorthNorth-->South>South))
FL 180FL 180
Valid Valid 00 UTC 25.02.200900 UTC 25.02.2009
Valid Valid 06 UTC 25.02.200906 UTC 25.02.2009
Valid Valid 12 UTC25.02.200912 UTC25.02.2009
Max CAT composite Max CAT composite ((EastEast-->West>West))
FL 140FL 140
VALID VALID 12 UTC 25.02.2009 06 UTC 25.02.2009 00 UTC 25.02.200912 UTC 25.02.2009 06 UTC 25.02.2009 00 UTC 25.02.2009
Max Icing composite Max Icing composite ((SouthSouth-->North>North))
FL180FL180
VALID VALID 06 UTC 25.02.200906 UTC 25.02.2009
VALID VALID 00 UTC 25.02.200900 UTC 25.02.2009
VALID VALID 18 UTC 24.02.200918 UTC 24.02.2009
CB cover compositeCB cover composite((WestWest-->East>East))
FL140FL140
VALID VALID 18 UTC 24.02.2009 00 UTC 25.02.2009 06 UTC 25.02.200918 UTC 24.02.2009 00 UTC 25.02.2009 06 UTC 25.02.2009
SIGWX composite (South->North)SIGWX composite (South->North)BUFR encoded BUFR encoded
datadata
VALID 18 UTC VALID 18 UTC 13.04.200913.04.2009
VALID 12 UTC VALID 12 UTC 13.04.200913.04.2009
VALID 06 UTC VALID 06 UTC 13.04.200913.04.2009
FL 250 - 630FL 250 - 630
Support for issuance of SIGMETsSupport for issuance of SIGMETs
• Meteorological Watch Office (MWO) makes Meteorological Watch Office (MWO) makes use of products of WAFCs and other sources use of products of WAFCs and other sources
• High resolution mesoscale models are needed to High resolution mesoscale models are needed to forecast hazardous phenomena for regions of forecast hazardous phenomena for regions of MWO responsibilityMWO responsibility (ex., the WRF model with 3 km resolution, (ex., the WRF model with 3 km resolution, 1.5km grid length version of the Met Office 1.5km grid length version of the Met Office Unified Model)Unified Model)
Mesoscale model (WRF-ARW). Cloud waterMesoscale model (WRF-ARW). Cloud water
• Horizontal Horizontal resolutionresolution
- 3km x 3km- 3km x 3km
• Time resolution Time resolution – 1 hour– 1 hour
• Domain – Domain – ~1000 km x ~1000 km x 1000 km1000 km
• Level – 925 hPa Level – 925 hPa
• Valid 06 UTC Valid 06 UTC 12.08.200912.08.2009
AMDARAMDAR data for verificationdata for verification
• WMO aircraft meteorological data relay WMO aircraft meteorological data relay (AMDAR) reports include turbulence data(AMDAR) reports include turbulence data
• AMDAR code provides for identification of AMDAR code provides for identification of turbulence in terms of light, moderate and severe turbulence in terms of light, moderate and severe turbulenceturbulence
• AMDAR data is to be displayed at standard FLs AMDAR data is to be displayed at standard FLs and compared to GRIB encoded data for and compared to GRIB encoded data for turbulence.turbulence.
AMDARAMDAR data: Wind/Temp/Turb at FLsdata: Wind/Temp/Turb at FLs
FL390FL390
VALID 17:30 UTC VALID 17:30 UTC 06.10.200806.10.2008
ConclusionsConclusions
• It is desirable to get model outputs in terms of physical It is desirable to get model outputs in terms of physical atmospheric properties (ex. EDR) . Each of ICE/TURB should be atmospheric properties (ex. EDR) . Each of ICE/TURB should be characterized by single parameter (instead of MEAN and MAX). characterized by single parameter (instead of MEAN and MAX).
• The relations should be set between standard terms and qualifiers The relations should be set between standard terms and qualifiers
used to describe ICE/TURB/CB in gridded forecasts. Thresholds used to describe ICE/TURB/CB in gridded forecasts. Thresholds for description of for description of moderatemoderate and and severesevere ICE/TURB/CB should be ICE/TURB/CB should be established.established.
• ConcatenatedConcatenated ICE/TURB/CBICE/TURB/CB forecastsforecasts for long-haul flight can be for long-haul flight can be displayed on a composite chart.displayed on a composite chart.
• It seems useful to combine corresponding data for ICE, TURB It seems useful to combine corresponding data for ICE, TURB and CB and display it on a chart as and CB and display it on a chart as hazard countourshazard countours..