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STAR and NPOESS

STAR and NPOESS. Presented by Andrew K Heidinger. Requirement, Science, and Benefit. Mission Goals Protect, Restore, and Manage the Use of Coastal and Ocean Resources through an Ecosystem Approach to Management

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STAR and NPOESS

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  1. STAR and NPOESS Presented by Andrew K Heidinger

  2. Requirement, Science, and Benefit Mission Goals • Protect, Restore, and Manage the Use of Coastal and Ocean Resources through an Ecosystem Approach to Management • Understand Climate Variability and Change to Enhance Society’s Ability to Plan and Respond • Serve Society’s Needs for Weather and Water Information • Support the Nation’s Commerce with Information for Safe, Efficient, and Environmentally Sound Transportation Science • NPOESS information furthers each of NOAA’s mission goals • STAR supports the NPOESS program in many ways Benefits • National Weather Service and their customers (Emergency planners, General public, Numerical Weather Prediction, Space Weather, etc.) • Aviation • Air Quality • Department of Defense • International users (Central America, South America, Pacific, etc.) • Broadcasters, Etc. SAME AS GOES-R

  3. NPOESS supports all Mission Goals SST Clouds + Precip. Ocean Color Soundings Aerosols

  4. STAR supports all NPOESS Sensors ATMS – Advanced Technology Microwave Sounder CrIS – Cross-track Infrared Sounder MIS – Microwave Imager/Sounder OMPS – Ozone Mapping and Profiler Suite VIIRS – Visible/Infrared Imager/Radiometer Suite ✔ ✔ ✔ ✔ ✔

  5. Contrast in STAR’s Role in GOES-R and NPOESS STAR’s Role in GOES-R • STAR lead AWG to develop algorithms and validation systems for GOES-R • STAR and its CI’s played dominant role in GOES-R Risk Reduction (Research) including Hyperspectral studies and ABI band selection. STAR’s Initial Role in NPOESS • STAR has controlled all operational POES products. This included algorithm and processing system development and all calibration and validation activities. • Under the NPOESS framework, STAR no longer controls the official NPOESS products. • STAR scientists now work under the management of the IPO to evaluate and assess the NGST algorithms. • The NPOESS contractor (NGST) maintains responsibility for the NPOESS algorithms and the processing system. • Due to restrictions imposed during the mission competition, STAR and the other government agencies had little ability to control spectral characteristics of NPOESS sensors.

  6. STAR’s Evolving Role in NPOESS • In recognition that the baseline NGST products will not fully fulfill the expectations of NESDIS’s customers, NESDIS along with STAR initiated the NPOESS Data Exploitation Project (NDE). • NDE has selected several products as NOAA unique products and will generate these within NESDIS. • STAR scientists play a large role in the NOAA Unique Products • Legacy AVHRR SST (A. Ignatov) • ATMS products (S. Boukabara) • Products from CrIS/ATMS (C. Barnet, M. Goldberg and W. Wolf) • VIIRS Land Products (I. Csiszar) • VIIRS Polar Winds (J. Key) • NDE will also make tailored products from the baseline NPOESS products to match the format and resolution requirements of current NESDIS customers.

  7. STAR’s Leadership within NPOESS • The IPO has looked to STAR for technical leadership throughout • Larry Flynn has led the Ozone OAT. • Andrew Heidinger led the VIIRS OAT. • Paul Menzel led the Sounding and VIIRS OAT. • Istvan Laszlo led the Aerosol OAT • Chris Barnet now leads the official IPO sponsored Sounder Cal/Val Team. • Ivan Csiszar leads on IPO-sponsored and NASA EOS/NPP efforts that are developing VIIRS fire algorithms. • Many STAR scientists and contractors participate as members of the IPO OAT and CAL/VAL teams (Ivan Csiszar, Michael Ondrusek, Jeff Key, Bob Yu, Peter Romanov, Menhua Wang)

  8. STAR’s Technical Impact on NPOESS • STAR scientists played leading role in drafting the original requirements document (IORD) used to determine the NPOESS specifications. • Many STAR algorithm concepts adopted by NGST. (i.e., NGST adopted the NESDIS Cloud Typing Algorithm and several concepts employed in the NESDIS heritage cloud mask.) • P. Menzel/ J. Key led the effort to get IR water vapor bands on VIIRS (may still occur on C3). • I. Csiszar is involved in evaluating potential VIIRS sensor improvement for fire detection.

  9. Example STAR-developed NPOESS Applications: Monitoring of IR Clear-sky Radiances for SST - MICROSDeveloped under GOES-R AWG and NPOESS Cal/Val Currently, MICROS monitors radiances associated with SSTs for 5 AVHRRs (NOAA-16, 17, 18, 19, MetOp-A). VIIRS radiances will be added once available. http://www.star.nesdis.noaa.gov/sod/sst/micros/

  10. Example STAR-developed NPOESS Applications: Generating NPOESS-analogs on POES for NPOESS Readiness • STAR algorithms running on POES/AVHRR already generate many of the NPOESS/VIIRS cloud algorithms using analogous approaches. • At CIMSS, these data are fed into the AWIPS data stream through the NWS Proving Ground Project. Our goal is prepare forecasters for NPOESS/VIIRS products. Products also served via Google Earth. False Color Image Cloud Mask + SST Cloud Optical Depth

  11. “Ocean EDR Product Calibration and Validation Plan For the VIIRS Sensor for Ocean Products” Define a VIIRS Proxy Data Stream Define the required in situ data stream for Cal/Val Tuning of algorithms and LUTS (Vicarious calibration and SDR feedback) Ocean Algorithm, stability evaluation and uncertainty Product validation and product long-term stability Satellite inter- comparisons, robustness, seasonal and product stability VIIRS Cal/Val Plan developed for IPO by inter-agency government team to (Navy, NOAA, NASA) to construct end to end capability from sensor to end product based on heritage capabilities STAR Activities: • VIIRS Ocean Color Algorithm Evaluations and Data Processing and Analyses – Menghua Wang 1) Algorithm Evaluation and Development 2) Vicarious Calibration (VC) Technique Demonstration using MODIS Data 3) VIIRS Data Processing System and VIIRS Proxy Data Set • VIIRS In situ Data for Vicarious Calibration and Validation- Michael Ondrusek 1) Historical/real time match up data set used for vicarious calibration 2) Vicarious calibration exclusion criteria 3) In situ data management group

  12. Summary • STAR has supported the NPOESS program in many ways Initial Requirements Assisting in Contractor Selection Process Participation in Operational Algorithm Teams (OATs) • STAR is supporting the NPOESS program in many ways IPO CAL/VAL Teams Proving Ground Education/Training (SME/COMET) • STAR will support the NPOESS program in many ways NOAA Unique Products Advanced Products and Applications Climate Data Records Calibration Validation • NPOESS information furthers each of NOAA’s mission goals • STAR supports the NPOESS program in many ways

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