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Title: GIFTS Ground Data Processing System Development: Progress Update


1
GIFTS Ground Data Processing System Development
Progress Update 
  • Bob Knuteson, Ray Garcia, Maciej Smuga-Otto,
    Dave Tobin, Hank Revercomb (Dir. SSEC), Steve
    Ackerman (Dir. CIMSS)
  • University of Wisconsin-Madison (UW)
  • Space Science and Engineering Center (SSEC)
  • Cooperative Institute for Meteorological
    Satellite Studies (CIMSS)

MURI June 2005
2
Outline of Presentation
  • Original GIFTS Project Goals Revisited
  • Risk Reduction Accomplishments to Date
  • 2005 Activities Related to Ground Processing
    System development

3
GIFTS/IOMI Missionand the Demonstration of
Operational Utility GOES-R HES Sounder
GIFTS Project Goals Revisited
4
Geosynchronous Imaging FTS (GIFTS)
Combine Advanced Measurement Technologies On a
Geosynchronous Satellite to Obtain 4-D
Observations of the Atmosphere
  • Horizontal Large detector arrays give near
    instantaneous wide 2-D geographical coverage
  • Vertical Michelson interferometer (FTS) gives
    high spectral resolution that yields high
    vertical resolution
  • Temporal Geosynchronous orbit allows high time
    resolution(i.e., motion observations)

5
Original GIFTS Mission Objectives
NASA New Millennium Program EO-3 Mission
Objectives
  • Technology Demonstration
  • Cryogenic Imaging Interferometer
  • On-board signal processing
  • Autonomous Pointing
  • Measurement Concept Demonstration
  • Profiles of Temperature (1K / 1km)
  • Profiles of Water Vapor (20 / 2km)
  • Profiles of Winds (3 m/s / 4km)

NAVY IOMI Mission
NOAA GIFTS Objectives
  • NOAA Commitment Letter (Feb. 2001)
  • Technology Infusion into ABS/HES
  • Realtime Reception and Data Processing
  • Algorithm development (through NOAA
    Cooperative Institutes) leading to a stable set
    of products and now- casting tools for ABS/HES.
  • Demonstrate data assimilation into NWP using
    NASA/NOAA Joint Center.
  • Shipboard Requirements
  • Visible and Infrared Imagery for
  • Synoptic-scale weather features
  • Monitoring of severe storms
  • Derivation of precipitation estimates
  • Clouds classification
  • Cloud and water vapor drift winds

6
NASA GIFTS Sensorand theGOES-R Technology
Infusion GOES-R Risk Reduction
7
Focal Plane Arrays Increase Data Collection Rates
GIFTS has 128 x 128 IR Detector Arrays Versus4
individual detectors per band on current GOES
  • HgCdTe PV Semiconductor
  • Pixels on 60 ?m centers
  • 60 K Operating temperature

8
Imaging FTS Candidate for HES Sounder
GIFTS Michelson IR Interferometer Spectrometer
(Ultra-spectral resolution ?/?? 1000) Versus
GOES Discrete Narrow Band IR Optical Filters
(?/?? ? 100)
(USU SDL Cryogenic Design)
9
GIFTS Internal Precision Blackbody Design
Location of Flip-in Mirror for Viewing Internal
Blackbodies (not shown)
Internal UW Blackbodies
10
GIFTS On-board Precision Calibration BBs
Two High Emissivity Blackbody Cavities Hot and
Cold
Emissivity 0.998 Temperature Accuracy (3 sigma)
Cavity Aperture
Thermistor Leads
Heater Coil
UW-SSEC
11
GIFTS Demonstration Through Simulation
Interferogram
Pixels in Focal Plane Array
Spectrum
Radiance Image
12
GIFTS and GOES-R Risk Reduction.
  • What does NOAA GOES-RRR learn from
    GIFTS?Thermal Vacuum Testing
  • Demonstrate optical design using high precision
    internal calibration blackbodies for enhanced
    accuracy from geo orbit.
  • Instrument Line Shape will be characterized for
    an Imaging FTS.
  • Experience with FPA cross-talk, noise
    correlation, linearity.
  • Experience gained in simulation of imaging GEO
    sounder.
  • Development of metadata ontology for
    hyperspectral observations.
  • Experience gained in the development and use of
    high performance computing software as a
    demonstration of future HES sounder ground data
    processing (OSD).

13
Accomplishments To Date
  • GIPS Design Elements
  • Monitoring, Control, and Data Channels
  • Parallel Processing Pipeline Architecture
  • Modular Software Component Design

14
Accomplishments To Date
  • AMS Annual Meeting, IIPS session, Seattle,
    January 2004
  • LEVEL 0-1 ALGORITHM DESCRIPTION FOR THE
    GEOSYNCHRONOUS IMAGING FOURIER TRANSFORM
    SPECTROMETER, Robert Knuteson, Fred Best, Ralph
    Dedecker, Ray Garcia, Sanjay Limaye, Erik Olson,
    Henry Revercomb, and David Tobin
  • DESIGN STUDIES FOR REAL-TIME DISTRIBUTED
    PROCESSING OF INFRARED HYPERSPECTRAL IMAGE DATA,
    Ray Garcia and Maciek Smuga-Otto
  • HYPERSPECTRAL DATA STORAGE CONCEPTUAL DESIGN,
    Ralph Dedecker, Tom Whittaker, Ray Garcia and
    Robert Knuteson

15
Accomplishments To Date
  • AMS Annual Meeting, IIPS session, San Diego,
    January 2005
  • CALIBRATION ALGORITHM ACCURACY VERSUS EFFICIENCY
    TRADEOFFS FOR A GEOSYNCHRONOUS IMAGING FOURIER
    TRANSFORM SPECTROMETER , Robert Knuteson, Steve
    Ackerman, Fred Best, Ralph Dedecker, Ray Garcia,
    Erik Olson, Hank Revercomb, Maciek Smuga-Otto,
    and Dave Tobin
  • DESIGN STUDIES IN LARGE-SCALE REAL-TIME
    INTERFEROMETRIC DATA PROCESSING SYSTEMS, Ray
    Garcia and Maciek Smuga-Otto
  • A PROTOTYPE FOR THE GIFTS INFORMATION PROCESSING
    SYSTEM, Ray Garcia and Maciek Smuga-Otto

16
Accomplishments To Date
  • SPIE Annual Meeting, Denver, August 2004
  • COMPONENT-ORIENTED DESIGN STUDIES FOR EFFICIENT
    PROCESSING OF HYPERSPECTRAL INFRARED IMAGER DATA,
    Ray Garcia and Maciek Smuga-Otto
  • SPIE Annual Meeting, San Diego, August 2005
    (abstract)
  • A DATA PROCESSING PIPELINE FOR GIFTS THERMAL
    VACUUM TESTING,M.Smuga-Otto, R.Garcia,
    R.Knuteson, E.Olson

17
UW GDPS Goals For 2005
  • Generate a GIFTS 24 Hour dataset
  • WRF model using SERENITY
  • GIFTS Spatial Sampling at correct view angles
  • GIFTS FTS Simulator for Interferogram cubes
  • Convert Interferograms to CCSDS Packet Format
  • Process 24 Hour Dataset through GIPS L0-L1 s/w
  • Online Storage of complete INPUT and OUTPUT
  • Transfer dataset and GIPS software to ACTECH.
  • Support GIFTS L0-L1 Parallel Processing
    Evaluation (UW ACTECH)
  • Begin Implementation Process for L2 Algorithms

18
GIFTS Potential (from simulation)
  • GIFTS combines GEO temporal sampling with
    advanced vertical sounding.

GIFTS Data Cube 512 km by 512 km region
sampled simultaneously
IHOP 11 June 2002
Sense the low level moisture flux BEFORE the
convective clouds form!
19
Previously our 4-km IHOP Simulation was of a
limited domain
MM5 Old Cluster
See Jason Otkin For details.
20
WRF on SERENITY allows our 4 km domain to be
expanded
WRF SERENITY
See Jason Otkin For details.
21
A FULL DISK run is possible at somewhat lower
spatial resolution.
WRF SERENITY
See Jason Otkin For details.
22
GOES-R 2005 Milestones (L0-L1 GDPS)
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