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Non-Fed AWOS Connectivity ***************

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Presentation on theme: "Non-Fed AWOS Connectivity ***************"— Presentation transcript:

1 Non-Fed AWOS Connectivity ***************
   T.K. Gwin, Program Manager Colorado Division of Aeronautics       

2 State and Individual Airport Concerns ***************
   Ashish J. Solanki, A.A.E. |  Director Office of Regional Aviation Assistance       

3 Commercial in Confidence/NAV CANADA Copyright
NAV CANADA Weather systems Getting non sanctioned data into the system. Faycel Farza, P.Eng., PMP®, MPM Manager Weather & SWIM Commercial in Confidence/NAV CANADA Copyright

4 About NAV CANADA Private, non-share capital company
2nd largest ANSP in the world 12 million aircraft movements annually 18 million square km of airspace Regulated by Federal Government on safety performance Provides aviation weather Commercial in Confidence/NAV CANADA Copyright

5 Reasons for this presentation
NAV CANADA is always approached by 3rd party AWOS owners to display their data on the NAV CANADA Aviation Web Site. Explain reasons for not showing 3rd party information on NAV CANADA Website Discuss conditions to let them display 3rd party weather information on NAV CANADA website Commercial in Confidence/NAV CANADA Copyright

6 Canadian Aviation Regulation Exemption
The current standards for the operation of Automatic Weather Stations for aviation are contained in a global exemption to CAR ( The following are highlights from the exemption: Maintain detailed training records, Individually certify that all persons providing installation, commissioning, inspection and maintenance services are qualified, Define performance criteria for visibility, present weather and sky condition, Provide METAR format for automated stations, Establish minimum SPECI criteria thresholds. Commercial in Confidence/NAV CANADA Copyright

7 Clinical Observations and Data Analysis
Testing was conducted at : Iqaluit for extreme cold temperatures and high winds, St. John’s for freezing precipitation, high winds, fog and salt atmosphere, Ottawa for demonstrations to Transport Canada and additional testing. Commercial in Confidence/NAV CANADA Copyright

8 Compliance to the Exemption
In August 2007, evaluation results were submitted to Transport Canada. In September 2017, Transport Canada responded with the following excerpt: Commercial in Confidence/NAV CANADA Copyright

9 Commercial in Confidence/NAV CANADA Copyright

10 NAV CANADA Weather Observation Network
ENVIRONMENT CANADA NAV CANADA Weather Observation Network Commercial in Confidence/NAV CANADA Copyright

11 Dealing with non NAV CANADA AWOS
WDM ODEX EC Public HWOS Not supported nowadays! AWWS 3rd Party AWOS

12 What needs to be done! Third Party AWOS must demonstrate same level of certification that NAV CANADA went through for AWOS to obtain Transport Canada certification. Third party AWOS owners must demonstrate compliance to the Safety Management System (SMS) which identifies safety risks before they become bigger problems.

13 Discussions? “Best Air Navigation Service Provider” International Air Transport Association (IATA) Eagle Award Program THANK YOU for your attention. I will be pleased to answer any of your questions. 2001 2010 2011

14 MADIS – FPAW 2016 Summer Meeting
Meteorological Assimilation Data Ingest System (MADIS) Getting Non-Sanctioned Data into the System Greg Pratt OAR MADIS Project Manager

15 MADIS Defined MADIS is a meteorological database and data delivery system that covers the globe. Jointly developed by the National Oceanic and Atmospheric Administration’s (NOAA) National Weather Service (NWS) and the Office of Oceanic and Atmospheric Research (OAR) Earth System Research Laboratory (ESRL) Global Systems Division (GSD). MADIS started collecting data July 1, 2001 and provides access to all data sets collected since it’s start. Purpose: To provide a finer resolution (temporal and spatial), higher quality, easy access observational data system for NOAA and the greater meteorological community. To help improve weather forecasting, by providing support for data assimilation, numerical weather prediction, and other hydrometeorological applications. How: Leverage partnerships with international agencies; federal, state, and local agencies; universities; volunteer networks; and the private sector to integrate their stations with those of NOAA. The most important part of this slide is MADIS was designed to handle data from all types of providers in all types of formats. The data can be pushed via FTP from the provider. MADIS can pull data using FTP, LDM (UNIDATAs Local Data Manager), or HTTP/HTTPS.

16 MADIS Defined NOAA surface stations with MADIS NOAA surface stations
Surface Obs Radiosonde Radiometer Satellite Aircraft Profilers NOAA surface stations with MADIS NOAA surface stations The goal of MADIS is to improve weather forecasting, by providing support for data assimilation, numerical weather prediction, and other hydrometeorological applications. It does this by filling gaps in NOAA’s observations by collecting observations from non-NOAA providers, integrating these observations with NOAA’s, quality controlling the observations, and disseminating the data using several communication protocols in standardized forms. Mention the types of data MADIS collects – Left side. NOAA surface network – What MADIS adds to this surface network. Provides a finer resolution higher quality NOAA observational database and distribution system through partnerships with non-NOAA providers.

17 Current Data Capabilities
15 Different Data Types Surface Hydro, Mesonet, Maritime, METAR, Climate, 1 Minute ASOS/AWOS, Mobile Platform Environmental Data (MoPED), and Snow Upper Air Profiler, RAOB, Automated Aircraft, Radiometer, and Satellite (winds, sounding, and radiance) Green ---- Data available since 2001. Black Data added after 2001. 400+ Observation Types 11 GB/Day (Uncompressed) – 823 MB/Day (Compressed) The important thing here is that MADIS continues to grow. Users benefit from this growth. Data are standardized, Quality controlled, and can be accessed using new and emerging standards. ( this will be addressed in a later slide).

18 MADIS Operations/Processing
MADIS has been owned and operated by the National Weather Service National Centers for Environmental Prediction (NCEP) Central Operations (NCO) as part of the Integrated Dissemination Program (IDP) since January 21, 2015. Primary Operations at NCO College Park, MD. Backup Operations in Boulder, CO. MADIS Operations Provided by NWS NCO/IDP. NCO/IDP provides tier 1 and 2 support. MADIS data being archived at National Centers for Environmental Information (NCEI). ) OAR/GSD continues to provide enhancements and tier 3 support.

19 Continued NWS and OAR Support
True conduit for quickly transitioning new, improved, and higher quality observations to NWS operations. This years transition efforts to MADIS: Federal Highway Administration’s (FHWA) Clarus system. Hydrometeorological Automated Data System (HADS)/Automated Flood and Warning Systems (AFWS). SNOw TELemetry (SNOTEL). Sensing Hazards with Operational Unmanned Technologies (SHOUT). Quality Control (QC) improvements. Clarus QC added 2015. QC Sandbox for distributed development efforts. Standardized and more complete metadata provided by NM providers. MADIS Pipeline to Operations NWS, OAR, and FHWA are currently using the conduit to transition new and existing meteorological data systems. NWS and OAR are behind improving the quality of data from enhancing current QC algorithms to providing the user and the QA system a better understanding of the siting and capabilities of the sensors being used.

20 Continued NWS and OAR Support
Improved distribution. Fully operational WFS service. NWS/AWIPS version. (NWS Operations) NWS/NCO/IDP version. (FAA) Ability to subscribe to and only receive the latest data requested through the MADIS web service. Highly configurable graphic and observational interfaces. Improved performance – observations received and QCed in five minutes. MADIS is always looking for new and improved ways for users to access the data and making the data available to the user as fast as possible.

21 Why Use MADIS for Non-sanctioned Data
MADIS Ingest Designed to handle different data formats which contain observations in various units from stations reporting from various time zones. MADIS Processing Decodes and converts data to standardized observational units and time stamps. Observational units are: pressure, temperature, wind speed, wind direction, relative humidity, … MADIS Quality Controls Data Static - validity, internal consistency, and vertical consistency. Dynamic – History and spatial consistency. MADIS Provides 1) Access to real-time and archived data sets. 2) Standardized data formats, observation units, and time stamps. 3) Observational Quality Control (QC). 4) Network-enabled distribution with server-side sub-setting 5) Authentication for proprietary data 6) Operational support, user documentation and help desk support

22 Why Use MADIS for Non-sanctioned Data
MADIS Distribution Graphical displays and surface dump utilities. HTTP FTP LDM Emerging technologies and standards such as Web Feature Service (WFS) following Open Geospatial Consortium (OGC) standards. The MADIS team is working with the FAA and NWS and is currently providing aircraft and surface observations via WFS . MADIS fully supported by NWS and OAR. MADIS currently handles METAR, FAA One Minute ASOS, and non-federal ASOS/AWOS stations. MADIS Provides 1) Access to real-time and archived data sets. 2) Standardized data formats, observation units, and time stamps. 3) Observational Quality Control (QC). 4) Network-enabled distribution with server-side sub-setting 5) Authentication for proprietary data 6) Operational support, user documentation and help desk support

23 Contacts NWS MADIS Program Manager office (301) 427-9121
office (301) OAR/GSD MADIS Program Manager office (303) MADIS System Support


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