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ARTWG Weather Subgroup

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3. Radiometer Algorithms. Remotely measure Electric Fields in clouds. Modify weather ... Analysis Program to include radiometers and multi-polarization Radar ... – PowerPoint PPT presentation

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Title: ARTWG Weather Subgroup


1
ARTWG Weather Subgroup
Co-Chairs John Madura NASA KSC, FL Rich
Heuwinkel FAA/AST Washington, DC May
2003 Orlando, Florida
2
Definition and Scope forWeather Systems
  • Systems are required to rapidly detect, evaluate,
    and communicate to vehicles, crews, and decision
    makers, in near real time, those weather
    parameters, forecasts and warnings which are key
    to safe, efficient operations.
  • Operations include ground processing, ascent,
    flight, and recovery.
  • Weather parameters include upper level winds for
    vehicle loads and trajectory shaping surface
    winds, thermal structure and natural lightning
    for ground processing and toxic hazard decisions
    triggered lightning potential to protect
    sensitive electronics cloud thickness, coverage
    and height, and precipitation for visibility and
    thermal protection systems and electron, proton,
    and x-ray flux to assess flight hazards to
    vehicle, crew, and payload systems.
  • All weather data must be archived to permit
    accurate assessments of system design and
    operational issues. Consultation with weather
    personnel while designing operational systems or
    processes, to ensure weather impacts and
    capabilities are properly considered, is
    essential to reducing the impact of atmospheric
    phenomena on Range and Spaceport customers.
  • To cost-effectively develop and implement new
    technologies, customers must be directly involved
    in setting goals and priorities through a process
    similar to that currently exemplified by the
    NASA/USAF/NWS Applied Meteorology Unit.

3
ADVANCED RANGE TECHNOLOGY WORKING GROUP (ARTWG)
CAPABILITY ROADMAP Weather
Far-term FY 2016-2028
Near-term FY 2004-2009
Mid-term FY 2010-2015
Regional Weather hubs for forecasting and
technology transition
Centralized hub facilities for forecasting and
technology transition
Enhanced Local Prediction
Improved spatial and temporal resolution and
accuracy of forecasts and warnings
Significant reduction in weather impacts on
ground processing productivity, launch scrubs,
and EOM diverts
Modernize local sensors Initiate development of
Space based sensors
Transition / Optimize Space based weather sensors
4
Weather Sub-Functions (1 of 3)
  • Forecasts for Spaceport Operations
  • Improved Weather Warnings (lightning w/i 5 NM
    winds gt35 knots hail extreme temperatures, etc)
    with gt/ 30 minutes lead time
  • Improved Catastrophic Weather Warningstornadoes,
    convective non-convective winds gt60 knots, hail
    gt1/2 inch with gt/ 15 minutes lead time
    freezing rain and blizzards with gt 24 hours lead
    time
  • Improved 2 hour Forecasts of Location of
    Convective Weather Cells
  • Improved Communication of Warnings
  • Launch Commit Criteria Evaluation
  • Improved Lightning Launch Commit Criteria (LLCC)
  • Improved Upper Air Winds
  • Improved Low Level Wind (Direction and Speed)
    Forecasts for winds gt 20 knots.
  • Toxic Corridor, Debris Impact Points, and Blast
    Predictions
  • Improved 4D Toxic Concentration Predictions
    Debris Impact Points and Acoustic Damage

5
Weather Sub-Functions (2 of 3)
  •  Recovery Forecasts
  • Improved 90-Minute Forecasts at Recovery Sites.
    Accuracies met gt 95 of time
  •  Infrastructure/People
  • Data automatically sensed, QCd, archived,
    analyzed, displayed, transformed into forecasts
    and warnings, and communicated to customers.
  • Forecast Hubs serving multiple Spaceports
  • Maximum Use of Space Based Weather Sensors to
    Service multiple Ranges/Spaceports
  • Technology Transition Unit(s) to transition
    needed weather technology into operations
  • Advanced Degree Atmospheric Scientists at Space
    System design nodes

6
Weather Sub-Functions (3 of 3)
  • Space Forecasts
  • Improved Solar Events Occurrence Forecasts
    flare/x-ray level, filament eruption, CME, etc.
    Help mitigate and exploit effects of space
    environment on Satcom, radar, and HF
    Communications
  • Improved Solar Events Effects ForecastsShort
    Term Particle events, ionospheric effects, polar
    cap absorption events, etc. Help mitigate
    exploit effects on spacecraft operations and high
    altitude aircraft missions including satellite
    disorientation, false sensor readings, spacecraft
    charging/damage, degraded communication over
    poles, and radiation exposure to Astronauts and
    aircrews.
  • Improved Solar Events Effects ForecastsLong
    Term geomagnetic events, etc. Mitigate/exploit
    effects on spacecraft operations and
    communications such as spacecraft charging and
    drag, space track errors, launch trajectory
    errors, radar interference, and radiation hazards

7
Sub-Functions and Capabilities Over Time
Forecasts for Spaceport Operations
8
Sub-Functions and Capabilities Over Time Launch
Commit Criteria Evaluation
9
Sub-Functions and Capabilities Over Time
10
Sub-Functions and Capabilities Over Time
Infrastructure
11
Sub-Functions and Capabilities Over Time Space
Forecasts
12
ARTWG WEATHER TECHNOLOGY ROADMAP
Near-term FY 2004-2009
Far-term FY 2016-2028
Mid-term FY 2010-2015
Denser Sensors
  • Forecasts for Spaceport Operations
  • - Improve input accuracy
  • - Improve models
  • - Improve data fusion
  • - Improve Communications
  • Launch Commit Criteria Evaluation
  • - Lightning
  • Upper Level Winds
  • Launch Pad Winds
  • Toxic Corridors
  • Debris Fallout
  • Blast Predictions
  • Infrastructure/ People
  • Space Forecasts

UAV Sensors
(Soil, Buoys, River, GPS)
Remote Sensors (space based, etc.)
Blended System Models
Research electric field relationships
Continuous improvement
Reduce vehicle vulnerability to lightning
Refine Threat Assessment Techniques
Improved data processing for winds
Increased use of wind profilers
Boundary layer research
Improved environmental inputs
Improved models debris, blast
Improved visualizations
Increased staff meteorologists in development orgs
13
Current Technology ProjectsOpportunities for
Synergy
  • Sensors
  • Regional/Statewide Meso-network for Mesoscale
    models
  • GPS based Total Precipitable Water Sensors
  • MDCRS Water Vapor data from sensors on
    commercial and private aircraft
  • 4D Assimilation of data from diverse sources and
    non-standard times
  • Models
  • Blended Systems
  • MCAR Auto-nowcaster
  • NIMROD (UK)
  • Weather Research and Forecast Model (WRF)
  • Warning Decision Support System (WDSS II)
  • Airborne Field Mill (ABFM) 2 Data Analysis
  • Fusion/Assimilation/Visualization/Communications
  • COTS enhancements Aural notification, visual
    displays, automated QC

14
Remaining Technology Needs
  • Quantity quality of data for models
  • Improve observed thermodynamic (temperature,
    moisture, pressure) and wind data with sufficient
    spatial and temporal resolution to feed newly
    developed models
  • Improve Space-based surface soil moisture sensors
    and data algorithms
  • Geostationary Imaging Fourier Transformer
    Spectrometer (GIFTS) (See Earth Observation
    Magazine August 2002 pg 15 27)
  • Global Environmental MicroElectroMechanical
    System (MEMS) Sensors (GEMS)
  • Improve accuracy of gt2 day forecasts
  • Improve Numerical Model assumptions as Spatial
    and Temporal Resolution of Models increases
  • Improved Blended Systems that smoothly
    transition between different time scales,
    synoptic regimes, and assign weights
  • 1. Numerical Models (Analysis, Nowcast,
    Convective Scale, Mesoscale, Global)
  • 2. Extrapolation Techniques\
  • 3. Physically Based Rules (heuristic) all able
    to be modified perturbed by forecaster

15
Remaining Technology Needs
  • Improve accuracy of gt2 day forecasts (continued)
  • Computers powerful enough to run models at
    increasingly higher convective scale resolutions
    and shorter run times to increase usefulness for
    operational decisions
  • Mesoscale models with
  • Spatial Resolution lt 1 KM
  • Forecast Length 1-96 Hours
  • Coverage Nested---Regional-Local
  • Run Time lt 1/10 Forecast Length
  • Mesoscale Coupled Sea, Land and Air Model
    (McSLAM)
  • Improve lightning forecasts, downbursts
    predictions, and lightning LCC evaluation with
    enhanced
  • 1. Dual Polarmetric Radar Algorithms
  • 2.     Multi-static Radar algorithms (Full 3D
    wind )retrieval
  • 3.     Radiometer Algorithms
  • Remotely measure Electric Fields in clouds
  • Modify weather

16
Remaining Technology Needs
  • Automated analysis tools
  • Improved data assimilation, analysis, and
    visualization toolsneeded as data complexity
    increases, spatial and temporal resolution
    improves, data latency decreases, etc.
  • Measuring electric fields
  • Based on results of ABFM 2, initiate new ABFM 3
    Data Gathering Analysis Program to include
    radiometers and multi-polarization Radar
  • Physical Model(s) of Electric Field Generation
  • Lightning hardened vehicles, FTSs, and payloads
  • Understanding of electric field thresholds for
    triggered lightning as a function of launch
    vehicle characteristics
  • Day of launch aircraft equipped with field mills,
    plus other instrumentation such as 1-3 cm radar,
    dropsondes, cloud sensors, and ability to
    downlink data to ground in real time. (Helps
    evaluate possible spatial and temporal variations
    in electric field near flight path.)
  • Ability to remotely Measure Electric Field Along
    and Upstream of Flight Path

17
Remaining Technology Needs
  • Upper level winds
  • Multistatic Radar Profilers Procure and develop
    a concept of operations
  • Satellite based wind profilers
  • Vehicle based wind profilers
  • Data assimilation, analysis, visualization
  • Improved data assimilation, analysis, and 4D
    visualization tools for numerous parameters with
    high spatial and temporal resolution
  • Mesosphere and 4-D (x, y, z, t) data
  • Ability to accurately monitor and forecast
    temperature, density, pressure, wind speed and
    direction worldwide

18
Remaining Technology Needs
  • Improve Data Models People and Sensor
    Centralization Technology Transition and Design
    Support
  • Improved systems to automatically
  • 1. Sense (high resolution 4D), QC, archive,
    analyze, and display data
  • 2. Transform data into forecasts and warnings,
    provided to forecaster for tailoring
  • 3. Communicate to customers
  • Centralize Spaceport/Range A. Forecast Support
    Units and B. Technology Transition Units, in
    hubs supporting multiple Ranges/Spaceports, then
    eventually one which services all
    Spaceports/Ranges
  • Improved Satellite A. Onboard Power and B.
    Transmit Communications Bandwidth
  • Advanced Degree Meteorologists participate in A.
    Design of vehicles and payloads, and B.Concepts
    of Operation --for instance at Space and Missile
    Center. Purpose Ensure Impact of Environment Is
    Properly Considered
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