Provision of AMDAR Data for the Region David R. Helms Office of Science and Technology NOAA National Weather Service AMDAR Regional Workshop Mexico City, Mexico November 8, 2011

Provision of AMDAR Data for the Region: Possibilities for provision and utilization of targeted data from MDCRS and other programs for Caribbean, Central and South America. Table of Contents Collection Optimization Formatting Distribution Quality Management System Data Portal Archive

Data Collection and Formatting: Use Aircraft Probes, Avionics and Communication Capabilities

Air-Ground Communications Services: ARINC VHF GlobalLink

Air-Ground Communications Services: ARINC/MDCRS Reporting

Optimization Optimization is collection of observations from participating AMDAR aircraft based on establish data requirements. The goal of optimization is to collect observations which have the greatest operational value and impact, while minimizing collection of excessive data. E-AMDAR and Australian Bureau of Meteorology have implemented optimization capability USA is considering adopting optimization as part of future fleet expansion E-AMDAR operated several individual optimization applications, typically one for each airline. E-AMDAR coordinate these applications to de-conflict redundant data collection Future optimization capabilities will link national and international fleets as an integrated system. Data requirements will be dynamically set, based on risk and uncertainty of predicting high impact weather.

Optimization Basics of Optimization: Send uplink message in ARINC 620 format to enable or disable reporting from aircraft based on a/c departure or destination airport and scheduled time of departure of arrival. Command reporting “On” for ascent, descent, en route, or for more than one phase of flight. Accept pre-planned schedule from NMS for an entire day. Accept changes from NMS to pre-planned schedule as often as once per hour. Accept flight schedules from participating airlines. Match airline flight number and aircraft tail number. Assign higher or lower priority to aircraft based on reporting capabilities.

MDCRS Formatting and Distribution

E-AMDAR Formatting and Distribution

Quality Management System Goals: 1.Identify data which are suspect in meeting performance targets 2.Report aircraft with problems back to air carrier for engineering review and correction 3.Flag/black list suspect data for operational users 4.Provide trend analysis for sensor performance for use by numerical weather prediction (i.e., characterizing representative errors/bias correction) and retrospective analysis 5.Provide on-going assessment of contract performance measure attainment Methodology: Data are compared with a reference, which typically is a model (e.g., RUC, GFS) or other observing system (e.g., radiosonde), and statistics are generated for each aircraft including bias and standard deviation from the reference analysis for a given time period. Format, temporal and spatial checks are also applied to data to identify any formatting problems.

Quality Management System Additional Inter-comparisons: - Model: NOAA/GSD, EC/CMC, US Navy FNMOC - Observations: NOAA/GSD (Radiosondes and GPS-Met) Brad Ballish/NCEP Feedback to Air Carriers: E-AMDAR: KNMI Amdar/QEvC/loc5939/images/index.htm MDCRS: NOAA/NCEP

Data Portal Access, metadata and visualization: NOAA Gateway – BUFR, FTP Pull NOAA GTS (follow-on, June 2012) – BUFR, satellite push NOAA AMDAR – Java Viewer NOAA MADIS – Comma Separated, LDM push SMN Web or Hydro-Met Application, SMN WAN Archive and Metadata: Data can be accessed retrospectively from the NOAA AMDAR and MADIS sites. Formal archive of AMDAR data is being coordinated within the US and with WMO. Metadata standards are being coordinated by WMO as part of WIGOS. Aircraft type and series and their associated statistical performance against a reference is a target minimum metadata standard.

David R. Helms Office of Science and Technology NOAA National Weather Service Questions? Provision of AMDAR Data for the Region