1. FAA Aviation Weather Group
Status of Right Sizing Project 1

2. Right Sizing High Level Activities
Assess the state of the sensor network and begin defining a path towards a NextGen sensor network.
Identify and analyze sensor gaps that exist between current and planned sensor capabilities required in the NextGen NAS.
Identify gap mitigation strategies, technologies and alternatives that minimize the cost, schedule and risks associated with fielding the NextGen sensor network.
Investigate, analyze and document flexible, adaptive sensing techniques to ensure that advanced technologies such as real time performance monitoring are leveraged in NextGen.
Ensure that all new or alternative sensor technologies are compatible with NextGen communications and processing architectures and plans (e.g. NNEW/SWIM, NWP).
Begin delivering a fully integrated Airport Surface Observing Capability.

3. Right Sizing Team
BCI, Inc. System engineering support and program management
NCAR In-situ, satellite and ground observations
LL Radar and wind shear detection services
OU Flexible, adaptable sensor networks
NOAA ESRL Non-Federal sensors, data QC
NOAA NSSL Advanced radar gap mitigation and multi sensor applications

4. Latest Weather Roadmap - draftCY
2009
2010
2011
2013
2014
2015
2012
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
ASR-WSP
ASR-WSP TR1
TDWR
TDWR SLEP 1
IARD
407
IID 77
FID
104
Wind Shear Detection
Service Portfolio
Wind Shear Service
TDWR, WSP,
LIDAR &
LLWAS
IARD 37
FID
444
WSDS Work Package 1
(Legacy Sustain)
(TDWR SLEP2, WSP TR 2/3, LLWAS SLEP)
CRDR
647
IARD
648
IID
649
FID
650
WSDS Work Package 2
(NextGen Instantiation)
Expansion (Add’l LIDAR, New Reqs,TDWR SLEP 3)
ISD
651
NEXRAD &
Expansion
659
ASR-8/9/11
WX Channel
CRDR 667
IARD
407
IID 77
FID
104
NextGen Surveillance
and Wx Radar Capability
ISD
408 X
FAA Sensors
NEXRAD
NEXRAD Product Improvement & Dual Polarization
CRDR 667
IARD
407
IID 77
FID
104 X
NextGen RWI Solution Set
ASWON Portfolio
IARD
653
FID
654
ASOS TR
P3I
ASWON TR
(Limited Processor)
1st
Consolidated System
Last Consolidated System
Begin Sensor
Integration
Surface Weather Observing Service
AWOS, AWSS,
ASOS, SAWS,
DASI, F420
CRDR
652
IARD 85
IID
445
FID
446
NextGen
Surface Observing Capability
Sensors, Terminal Architecture & Processing)
ISD
447
Deployment
( ~ 900 sites)
JAWS
Non FAA Sensors
Non-Fed
AWOS 93
ACFT Wx
Sensors
Auto PIREP Entry ERAM
NextGen RWI Solution Set
NextGen RWI Solution Set
PIREPS
FID
111
Lightning
Data
481
673
Supporting Activities
Supporting Activities
Inventory Time & Frequency Reqm’ts; Assess GPS Outage Impact
344
345
Evaluate Multi-Function Phased Array Radar Technology (MPAR)
IARD
407
Develop Inter-Agency Requirements
for Wx & Air Domain Surveillance
IARD
407 93
Wx Right Sizing Study for NextGen Observing (Sfc Automated & Radar) Capabilities (AJP & AJW) 4

5. NextGen Requirements for Weather Observations
2009
Functional requirements for wx observations.
Preliminary portfolio requirements.
2010
SAS performance requirements.
Currently available for SDO airspace.
Expect En Route requirements soon.
FEDERAL AVIATION ADMINISTRATION
(FAA)
Four-Dimensional Weather Data Cube
SINGLE AUTHORITATIVE SOURCE (SAS)
Final Performance Requirements (fPR)
Version 1.0
September 30, 2009

6. FY 09 Sensor Assessment Right Sizing Sensor Assessment Database
308 functional requirements
Linked to preliminary performance requirements
854 entries
95 platforms surveyed
Right Sizing Sensor Assessment Report
Summary of assessment activities and initial findings
Identified 45 initial gaps
Define categories of gaps
Recently received update for Airborne Observations

7. Current/Future Capabilities Architecture and Roadmaps
Assessments
Activities
Service Analysis Gap Identification Reports
Functional &
Performance Requirements
Gap Analysis Reports & Gap Assignments
Policies
and
Plans
Gap Identification
Architecture and Roadmaps
Gap
Analysis
Demonstration Results/Reports
Technology Assessments
Gap Mitigation
Planning
IARD & Design Recommendations
Use Cases
Demonstrations
CRDR & Acquisition Recommendations
Motivators
Recommended Requirements Revisions
Gap Mitigation
Activities
Externally generated inputs
Right Sizing Core Processes
Outputs
Right Sizing Process Outputs
Right Sizing Process
Combination of Right Sizing and external Actions

8. FY10 Activities Begin to identify and quantify gaps in sensor coverage
Core meteorological activities occur in this area.
Investigate sensor data format requirements for advanced data set assimilation
Begin flexible terminal architecture capability system engineering efforts

9. SDO Airspace – Gap ID
Gap Identification – utilize latest performance requirements, sensor assessment database and additional research to produce a detailed report of ground and airborne SDO gaps.
Portfolio of reports:
Radar – coverage, terminal winds, microburst detection
Ground sensors: ASOS, AWOS
Airborne – sensor assessment, proposed update to functional and performance requirements, gap ID.

10. SDO Gap ID - Radar
OEP TERMINAL AND CONUS WEATHER RADAR COVERAGE ANALYSIS FOR NEXTGEN INITIAL OPERATIONAL CAPABILITY
The initial results of a weather radar coverage analysis.
An initial step towards identifying and analyzing the sensor spatial coverage deficiencies relative to the NextGen 4D Wx SAS performance requirements.

11. SDO Gap ID – Wind Hazards Detection
Analysis of Ground-Based Radar Low-Altitude Wind-Shear Detection in OEP Terminal Airspace for NextGen
-Submitted by MIT Lincoln Laboratory, September 1,2010
-The focus of the study is to generate 2D low-altitude microburst and gust-front visibility data to show the current and potential coverage in SDO terminal airspaces.

12. SDO Gap ID - Ground
Verified sensor locations recorded in several federal data bases
Radars all located within low CERs of indicated locations
ASOS sensor locations contained systematic errors
Some databases list ASOS location at airport center
Data provided by ASOS program office proved the most accurate although it still contained errors
30% of OEP sensors not in recorded locations
Sensors moved after installation
GPS errors
Transcription errors
Updated locations will be provided when available
Still trying to locate central database of RVR locations
LLWAS locations to be verified, so far fairly reliable

13. Philadelphia International Airport Sensor and Deicing Pad Locations

14. Denver International Airport Airport Sensors and Nearby Sensor Systems

15. Advanced Data Set Assimilation
Apply common data formats, protocols (WFS, WCS).
Makes real-time performance feedback of observations possible.
Transform and incorporate two advanced data sets.
MRMS (Multi Radar Multi Sensor)1 – Multi sensor, gap mitigating application.
MADIS – Federal and non-federal surface and airborne networks, advanced quality control.
Potential for the economic addition of additional sensor data to the NAS. Creating Metadata Database describing surface sensing systems
ESRL has produced a detailed report on the effort of making MADIS data sets available via the NNEW WFSRI
Gap Mitigation – Data Assimilation – Geospatial/temporal Optimization Plan
1 Included in 2010 NNEW summer demo with data sets and display client.

16. MRMS 3D Radar Mosaic currently at 1km and 2 min updates
Integrates satellite, model and surface obs
Output NNEW Compatible NetCDF CF
MRMS Composite Reflectivity, VIL, QA and other mosaics will be hosted on NNEW WCS RI
Now running at the WJHTC

17. MADIS
MADIS
HRRR
CIWS/
CoSPA
RAPT
Currently there are no policies to govern the “voluntary” contribution of weather data into the NAS
Oklahoma
Mesonet
Urbanet
Tenn.State
Highway
Network
Clarus
Network of
Networks
Non Federal sources of Surface Weather Data
Delaware
State
Highway
Network
Virginia
State
Highway
Network

18. Flexible Terminal Sensor Network
Flexible Terminal Sensing Capability Planning
Plan to demonstrate adaptable, flexible sensor network applicable to SDO and other terminal airspaces. (As described in the “Super Density Operations Adaptive/Flexible Sensing Integration Plan” submitted by University of Oklahoma, October 15,2010)
Plan to investigate advanced radar sensing capabilities.
Plan to ingest, process and evaluate data from a sensor network of varying density.
Enumerate and analyze projected life-cycle cost savings of integrated solution.
Identify and investigate needed support infrastructure in terminal area.

19. Current Terminal Sensor Configuration
RVR
LLWAS
ASOS Touchdown Sensor Group
LLWAS
RVR
LLWAS
ASOS Main Sensor Group
SAWS
F420
RVR
LWE
LLWAS

20. NextGen Terminal Weather Sensors
Collector
NNEW
LWE

21. Collector Functionality
NNEW Services
LLWAS
DASI
LWE
Primary
Collector
CASA type
Weather Radar
Secondary
Collector
F420
ASOS

22. Flexible Terminal Sensor Capability
Includes NextGen fundamental principles of netcentricity, common data models and communication.
Includes Systems Engineering principles to reduce life cycle costs.
Based on NextGen performance requirements for SDO airspace.
Include provisions to support currently known and near-term requirements.
Maximizes flexibility to configure the airspace.
Initial design document and market survey for sensor capabilities proposed for FY11.
Leverage existing Airport real estate and communications channels

23. Backups

24. Categories of Gaps
Knowledge Gap where there is not enough understanding on how to make measurements.
Engineering Gap where the technology necessary for building the needed sensor exists.
Operational Gap sensor is built and deployed for research, but time and effort are still needed to bring it to robust operational status.
Spatial Coverage Gap the spatial domain over which the requirement is defined is not completely covered.
Temporal Coverage Gap the required time coverage (e.g., 24/7) cannot be met.
Performance Gap if any of the performance requirements are not met.
Communication Gap access to the sensor product is restricted or if the data transfer infrastructure is inadequate.
Dynamic Gap temporary void due to sensor failure, network or power interruption, sabotage, or a natural disaster.
Metadata Gap hinder the proper characterization, dissemination, and usage of the sensor product.