MeteoExpert workstation.Visualization of new gridded forecasts MeteoExpert workstation. Visualization of new gridded forecasts.

Slides:



Advertisements
Similar presentations
© Crown copyright Met Office WAFC CAT verification Objective verification of GRIB CAT forecasts Dr Philip G Gill, WAFC Science Meeting, Washington, 20.
Advertisements

© Crown copyright Met Office Use of GRIB hazard forecasts in flight planning Bob Lunnon, Aviation Outcomes Manager, Met Office WAFS Science meeting, Washington,
Larry Burch, WAFC Washington Nigel Gait, WAFC London
© Crown copyright Met Office WAFC turbulence and Cb hazard verification Recent results and future plans Dr Philip G Gill WAFSOPSG 7/14, 30 th April 2013.
GRIB Visualization of data
COROBOR designs software for Aviation & Meteorology for 16 years.
Jet Stream Compression Turbulence Mountain wave Icing IFR ceiling and visibility CWSU Products MIS CWA PIREPS Questions and Comments Created 9/14/2008.
WAFS Workshop on the Use and Visualisation of Gridded SIGWX Forecasts, Paris, New WAFC Gridded Products = New Visualisation Opportunities.
METEOROLOGICAL SERVICES FOR LOW LEVEL FLIGHTS IN ROMANIA
History of IATA requirements for gridded ICE, TURB and CB Cloud Products.
METEOROLOGICAL INFORMATION FOR GENERAL AVIATION IN SLOVENIA.
1 The provision of meteorological products and services in support of low level flight’s operation in Ukraine.
Aeronautical Meteorology Service of China
Rapid Update Cycle Model William Sachman and Steven Earle ESC452 - Spring 2006.
FMI contribution to WGii first report Requirements from the forecasters and from the cuntomers Janne Kotro Jukka Julkunen Juha Kilpinen.
Figure 2.10 IPCC Working Group I (2007) Clouds and Radiation Through a Soda Straw.
MIT ICAT MIT ICAT. MIT ICAT MIT ICAT Motivation Adverse Weather Significantly Impacts Flight Operations  Safety % All US Accidents  Efficiency.
Verification of WAFS Global Icing Products Jennifer Mahoney 1 and Sean Madine 1,2 1 NOAA/Earth System Research Laboratory 2 Cooperative Institute for Research.
Aviation Decision Support InFlight and Ground Icing: what do I need to know? Marcia Politovich, NCAR Flight Planning: –Where is it? Along my planned route.
Verification has been undertaken for the 3 month Summer period (30/05/12 – 06/09/12) using forecasts and observations at all 205 UK civil and defence aerodromes.
FAA International Activities
On the relationship of in-cloud convective turbulence and total lightning Wiebke Deierling, John Williams, Sarah Al-Momar, Bob Sharman, Matthias Steiner.
Initial Experiments on Simulation of Windshear and Significant Convection Events using Aviation Model (AVM) Wai-Kin Wong 1, C.S. Lau 2 and P.W. Chan 1.
1 GOES-R AWG Hydrology Algorithm Team: Rainfall Probability June 14, 2011 Presented By: Bob Kuligowski NOAA/NESDIS/STAR.
The National Environmental Agency of Georgia L. Megrelidze, N. Kutaladze, Kh. Kokosadze NWP Local Area Models’ Failure in Simulation of Eastern Invasion.
Oceanic and Atmospheric Modeling of the Big Bend Region Steven L. Morey, Dmitry S. Dukhovksoy, Donald Van Dyke, and Eric P. Chassignet Center for Ocean.
REGIONAL DECISION SUPPORT SYSTEM T. Bazlova, N. Bocharnikov, V. Olenev, and A. Solonin Institute of Radar Meteorology St. – Petersburg, Russia 2010.
Copyright © 2009, Open Geospatial Consortium, Inc. Time issue : Meteo Domain needs and WMS present means Meteorology DWG Frédéric Guillaud, Marie-Françoise.
AIXM 5 Concepts This presentation is based on the first part of the “AICM and AIXM 5 - Exchange Model goals, requirements and design” document. The purpose.
Non-hydrostatic Numerical Model Study on Tropical Mesoscale System During SCOUT DARWIN Campaign Wuhu Feng 1 and M.P. Chipperfield 1 IAS, School of Earth.
08/20031 Volcanic Ash Detection and Prediction at the Met Office Helen Champion, Sarah Watkin Derrick Ryall Responsibilities Tools Etna 2002 Future.
LAPS __________________________________________ Analysis and nowcasting system for Finland/Scandinavia Finnish Meteorological Institute Erik Gregow.
Julie Haggerty National Center for Atmospheric Research Friends and Partners of Aviation Weather October July 2014.
Severe turbulence cases NOMEK Aviation requirements ICAO Annex 3 – “The objective of meteorological service for international air navigation shall.
Hyperspectral Data Applications: Convection & Turbulence Overview: Application Research for MURI Atmospheric Boundary Layer Turbulence Convective Initiation.
Observations From the Global AMDAR Program Presentation to WMO TECO May 2005 by Jeff Stickland Technical Coordinator, WMO AMDAR Panel.
Accounting for Uncertainties in NWPs using the Ensemble Approach for Inputs to ATD Models Dave Stauffer The Pennsylvania State University Office of the.
© Crown copyright Met Office Probabilistic turbulence forecasts from ensemble models and verification Philip Gill and Piers Buchanan NCAR Aviation Turbulence.
Modern Era Retrospective-analysis for Research and Applications: Introduction to NASA’s Modern Era Retrospective-analysis for Research and Applications:
Copyright © 2009, Open Geospatial Consortium, Inc. Modelling Meteorological Observations and Forecast Data as Discrete Coverages for exchange using WFS.
10/05/041 Satellite Data in the Verification of Model cloud forecasts Christoph Zingerle Tartu, 24. – 26. Jan HiRLAM mini workshop on clouds and.
© Crown copyright Met Office GA Met provision, UK Met Office Jonathan Dutton, Operations Centre, Met Office, UK.
COST 723 WORKSHOP – SOFIA, BULGARIA MAY 2006 USE OF RADIOSONDE DATA FOR VALIDATION OF REGIONAL CLIMATE MODELLING SIMULATIONS OVER CYPRUS Panos Hadjinicolaou.
LECTURE 4: ICAO CHART requirements
Autonomous Polar Atmospheric Observations John J. Cassano University of Colorado.
Science and Technology Infusion Plan for Aviation Weather Services Science and Technology Infusion Plan for Aviation Weather Services Kevin Johnston NWS.
© Crown copyright Met Office WAFC CAT verification Objective verification of GRIB CAT forecasts Dr Philip G Gill, WAFS Workshop on the use and visualisation.
Status of AMDAR Implementation in Japan, Forecast Department, Japan Meteorological Agency Prepared for APSDEU-6 Seoul, Korea, 1 June 2005.
The Impact of Data Assimilation on a Mesoscale Model of the New Zealand Region (NZLAM-VAR) P. Andrews, H. Oliver, M. Uddstrom, A. Korpela X. Zheng and.
AIXM 5 Concepts This presentation is based on the first part of the “AICM and AIXM 5 - Exchange Model goals, requirements and design” document. The purpose.
Gridded WAFS Icing Verification System Matt Strahan WAFC Washintgon.
World Meteorological Organization Working together in weather, climate and water CAeM-XIV Technical Conference SIGMET PROVISION Sue O’Rourke
New developments in the Graphical Turbulence Guidance (GTG) product
Satellite Data Assimilation Activities at CIMSS for FY2003 Robert M. Aune Advanced Satellite Products Team NOAA/NESDIS/ORA/ARAD Cooperative Institute for.
Japan Meteorological Agency, May 2014 Coordination Group for Meteorological Satellites - CGMS Volcanic ash algorithm testbed by JMA for validation and.
CAS/GAW/SSC March 2016 Aeronautical Meteorology.
SIGMA: Diagnosis and Nowcasting of In-flight Icing – Improving Aircrew Awareness Through FLYSAFE Christine Le Bot Agathe Drouin Christian Pagé.
“Friends/Partners in Aviation Weather” Forum NBAA Convention – Orlando
METEOROLOGICAL SERVICES FOR LOW LEVEL FLIGHTS IN ROMANIA
  Robert Gibson1, Douglas Drob2 and David Norris1 1BBN Technologies
Background Decisions leading to the development of gridded forecasts of CB clouds, icing and turbulence Olli Marius Turpeinen Chief MET/AIM Section, ICAO.
The provision of meteorological products and services in support of low level flight’s operation in Ukraine.
Volcanic Ash Detection and Prediction at the Met Office
New developments in the Graphical Turbulence Guidance (GTG) product
Yuliya Naryshkina METEOAGENCY OF ROSHYDROMET
Turbulence-Related Products Robert Sharman NCAR/RAP
Studies of convectively induced turbulence
Generation of Simulated GIFTS Datasets
Current progress in aviation nowcasting at SAWS: A Demo Project
(6-8 November 2018, Beijing, China)
Presentation transcript:

MeteoExpert workstation.Visualization of new gridded forecasts MeteoExpert workstation. Visualization of new gridded forecasts

IRAM: key features Resources Clients Key Figures Foundation Employees: ~ 50 staff, mainly engineers and meteorologists, 6 doctors of science & PhDs ISO 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 networkMeteorological radar observation network Surface observation networkSurface observation network Motor transportMotor transport Total number of installations: >800 in 10 countriesTotal number of installations: >800 in 10 countries Systems are in operational use at 85 airportsSystems are in operational use at 85 airports

Meteorological 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 forecasts Forecasts for icing, turbulence and CB clouds (ICE/TURB/CB) in the GRIB code formForecasts for icing, turbulence and CB clouds (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 3 hour (Т+6, Т+9, …, Т+36) - from 6 to 3 hour (Т+6, Т+9, …, Т+36) - additional levels around jet stream (FL320,360) Greater detail in comparison with the existing SIGWX forecastsGreater detail in comparison with the existing SIGWX forecasts Recommended time period for use ±1 hour 30 minRecommended time period for use ±1 hour 30 min Implementation in 2010 (Amendment 75 to Annex 3)Implementation in 2010 (Amendment 75 to Annex 3)

Settings AreaArea ElementElement LevelLevel CenterCenter Lead timeLead time Data timeData time View modeView mode

Icing (ICE) thinned GRIB data A measure of the likelihood of encountering icing conditions all over the globeA measure of the likelihood of encountering icing conditions all over the globe Mean Icing Potential – mean value within a gridboxMean Icing Potential – mean value within a gridbox Maximum Icing Potential - maximum value within a gridboxMaximum Icing Potential - maximum value within a gridbox At 5 levels – 700, 600, 500, 400, and 300 hPa (vertical interval of 100hPa)At 5 levels – 700, 600, 500, 400, and 300 hPa (vertical interval of 100hPa)

Мeаn Icing Potential FL 180 VALID 00 UTC BASED ON 12 UTC DATA ON Moderate and severe values are to be indicated in yellow and red

Махimum Icing Potential FL 180 VALID 00 UTC BASED ON 12 UTC DATA ON

TURB thinned GRIB data In-Cloud Turbulence Potential - a measure of the likelihood of encountering turbulence in layer cloudIn-Cloud Turbulence Potential - a measure of the likelihood of encountering turbulence in layer cloud Mean In-Cloud Turbulence Potential – the mean value within a gridboxMean In-Cloud Turbulence Potential – the mean value within a gridbox Maximum In-Cloud Turbulence Potential – the maximum value within a gridboxMaximum In-Cloud Turbulence Potential – the maximum value within a gridbox At 5 levels - 700, 600, 500, 400, and 300 hPaAt 5 levels - 700, 600, 500, 400, and 300 hPa

Мeаn In-Cloud Turbulence FL 100 VALID 12 UTC BASED ON 12 UTC DATA ON Yellow and red colours correspond to moderate and severe values

Махimum In-Cloud Turbulence Standard qualifiers for description of moderate and severe turbulence are indicated by the color scale Relations should be set between standard terms and qualifiers used to describe ICE/TURB/CB in gridded forecasts (calibration issue)

TURB thinned GRIB data CAT Potential - a measure of the likelihood of encountering moderate or severe clear air turbulence per 100km of route flownCAT Potential - a measure of the likelihood of encountering moderate or severe clear air turbulence per 100km of route flown Mean CAT Potential - the mean value within a gridboxMean CAT Potential - the mean value within a gridbox Maximum CAT Potential - the maximum value within a gridboxMaximum CAT Potential - the maximum value within a gridbox At 5 levels – 400, 300, 250, 200, and 150 гПа.At 5 levels – 400, 300, 250, 200, and 150 гПа.

Мeаn CAT Potential FL 300 VALID 12 UTC BASED ON 06 UTC DATA ON

Махimum CAT Potential FL 300 VALID 12 UTC BASED ON 06 UTC DATA ON

CB cloud GRIB data CB forecasts – convective cloud forecasts all over the globeCB forecasts – convective cloud forecasts all over the globe CB horizontal extent – the horizontal coverage of CB within a grid box at all levelsCB horizontal extent – the horizontal coverage of CB within a grid box at all levels Pressure at CB base and at CB top,Pressure at CB base and at CB top, Pressure at Embedded CB base and at Embedded CB topPressure at Embedded CB base and at Embedded 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 Embedded CB topICAO height at Embedded CB base and at Embedded CB top

CB Horizontal Extent CB COVER, % VALID 18 UTC BASED ON 12 UTC DATA ON All values are shown in yellow to red colours

Pressure at CB base, hPa VALID 18 UTC BASED ON 12 UTC DATA ON All values are shown in digital form

Pressure at CB top, hPa VALID 18 UTC BASED ON 12 UTC DATA ON

Height at CB top, kft VALID 18 UTC BASED ON 12 UTC DATA ON For verification For verification can be compared with radar data

Integrated data for ICE/TURB/CB It should be clear for the user how to interpret new data. Each of ICE/TURB should be characterized by single parameter. Thresholds (light, moderate and severe) need to be determined.It should be clear for the user how to interpret new data. Each of ICE/TURB should be characterized by single parameter. Thresholds (light, moderate and severe) need to be determined. Integrated ICE/TURB/CB data is displayed as hazard contours – the most useful information for users.Integrated ICE/TURB/CB data is displayed as hazard contours – the most useful information for users. Hazard zones are found out where ICE and/or TURB and/or CB values exceed the corresponding thresholds.Hazard zones are found out where ICE and/or TURB and/or CB values exceed the corresponding thresholds.

Hazard contours Hazard contours (in red) indicate zones where ICE and/or TURB and/or CB values exceed the corresponding severe thresholds It seems to be most simple and informative alternative of ICE/TURB/CB visualization for users

Concatenated forecasts for long-haul flights ICAO Annex 3 is to be developed to enable the provision of concatenated route-specific forecasts (WAFSOPSG/4)ICAO Annex 3 is to be developed to enable the provision of concatenated route-specific forecasts (WAFSOPSG/4) Concatenated WIND/TEMPERATURE forecasts can be displayed at a composite chart (Т+12, Т+18, Т+24)Concatenated WIND/TEMPERATURE forecasts can be displayed at a composite chart (Т+12, Т+18, Т+24) Concatenated ICE/TURB/CB forecasts can be displayed at a composite chart (Т+12, Т+18, Т+24)Concatenated ICE/TURB/CB forecasts can be displayed at a composite chart (Т+12, Т+18, Т+24)

Wind+T composite (West->East) FL 100 VALID00 UTC UTC UTC VALID 00 UTC UTC UTC

Wind+T composite (East->West) FL 100 VALID12 UTC UTC UTC VALID 12 UTC UTC UTC

Wind+T composite (North->South) FL 180 Valid00 UTC Valid 00 UTC Valid06 UTC Valid 06 UTC Valid12 UTC Valid 12 UTC

WIND+T composite (South->North) FL 340 Valid12 UTC Valid 12 UTC Valid06 UTC Valid 06 UTC Valid00 UTC Valid 00 UTC

Max TURB composite (West->East) FL 140 VALID18 UTC UTC UTC VALID 18 UTC UTC UTC

Max In-Cloud TURB composite (North->South) Max In-Cloud TURB composite (North->South) FL 180 Valid 00 UTC Valid 00 UTC Valid 06 UTC Valid 06 UTC Valid 12 UTC Valid 12 UTC

Max CAT composite (East->West) FL 140 VALID 12 UTC UTC UTC

Max Icing composite (South->North) FL180 VALID 06 UTC VALID 06 UTC VALID 00 UTC VALID 00 UTC VALID 18 UTC VALID 18 UTC

CB cover composite(West->East) FL140 VALID 18 UTC UTC UTC

SIGWX composite (South->North) BUFR encoded data VALID 18 UTC VALID 12 UTC VALID 06 UTC FL

Support for issuance of SIGMETs Meteorological Watch Office (MWO) makes use of products of WAFCs and other sourcesMeteorological Watch Office (MWO) makes use of products of WAFCs and other sources High resolution mesoscale models are needed to forecast hazardous phenomena for regions of MWO responsibilityHigh resolution mesoscale models are needed to forecast hazardous phenomena for regions of MWO responsibility (ex., the WRF model with 3 km resolution, 1.5km grid length version of the Met Office Unified Model)

Mesoscale model (WRF-ARW). Cloud water Horizontal resolutionHorizontal resolution - 3km x 3km Time resolution – 1 hourTime resolution – 1 hour Domain – ~1000 km x 1000 kmDomain – ~1000 km x 1000 km Level – 925 hPaLevel – 925 hPa Valid 06 UTC Valid 06 UTC

AMDAR data for verification WMO aircraft meteorological data relay (AMDAR) reports include turbulence dataWMO aircraft meteorological data relay (AMDAR) reports include turbulence data AMDAR code provides for identification of turbulence in terms of light, moderate and severe turbulenceAMDAR code provides for identification of turbulence in terms of light, moderate and severe turbulence AMDAR data is to be displayed at standard FLs and compared to GRIB encoded data for turbulence.AMDAR data is to be displayed at standard FLs and compared to GRIB encoded data for turbulence.

AMDAR data: Wind/Temp/Turb at FLs FL390 VALID 17:30 UTC

Conclusions It is desirable to get model outputs in terms of physical atmospheric properties (ex. EDR). Each of ICE/TURB should be characterized by single parameter (instead of MEAN and MAX).It is desirable to get model outputs in terms of physical atmospheric properties (ex. EDR). Each of ICE/TURB should be characterized by single parameter (instead of MEAN and MAX). The relations should be set between standard terms and qualifiers used to describe ICE/TURB/CB in gridded forecasts. Thresholds for description of moderate and severe ICE/TURB/CB should be established.The relations should be set between standard terms and qualifiers used to describe ICE/TURB/CB in gridded forecasts. Thresholds for description of moderate and severe ICE/TURB/CB should be established. Concatenated ICE/TURB/CB forecasts for long-haul flight can be displayed on a composite chart.Concatenated ICE/TURB/CB forecasts for long-haul flight can be displayed on a composite chart. It seems useful to combine corresponding data for ICE, TURB and CB and display it on a chart as hazard countours.It seems useful to combine corresponding data for ICE, TURB and CB and display it on a chart as hazard countours.

Thank you