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JPSS Proving Ground and Risk Reduction Mitch Goldberg, JPSS Program Scientist (NOAA)

JPSS Proving Ground and Risk Reduction Mitch Goldberg, JPSS Program Scientist (NOAA) John Furgerson , JPSS User Liaison (NOAA) Ingrid Guch , STAR JPSS PGRR Co-Chair January 12, 2012 - NOAA AQ Proving Ground. TOPICS. Overview of JPSS Compare JPSS Products with GOES-R

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JPSS Proving Ground and Risk Reduction Mitch Goldberg, JPSS Program Scientist (NOAA)

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  1. JPSS Proving Ground and Risk Reduction Mitch Goldberg, JPSS Program Scientist (NOAA) John Furgerson, JPSS User Liaison (NOAA) Ingrid Guch, STAR JPSS PGRR Co-Chair January 12, 2012 - NOAA AQ Proving Ground

  2. TOPICS Overview of JPSS Compare JPSS Products with GOES-R Scope of JPSS PGRR Program Overview of VIIRS and examples of early imagery Joint Polar Satellite System

  3. JPSS Program Overview • Benefits • Maintains continuity of weather/climate observations and critical environmental data from the polar orbit • NOAA – JPSS provides improved continuity for POES • HIRS > CrIS • AMSU > ATMS • AVHRR > VIIRS • SBUV2 > OMPS • NASA – JPSS provides continuity for EOS • AIRS > CrIS • AMSU > ATMS • MODIS > VIIRS • OMI > OMPS • CERES > CERES • AMSR-E > AMSR2 (JAXA-GCOM-W) JPSS-1 Satellite (NPP-clone)

  4. System Description(Space Segment) Joint Polar Satellite System

  5. Schedule MetOp-A MetOp-B MetOp-C EPS-SG NOAA-19 NPP JPSS-1 JPSS-2 GCOM W-1 Free-Flyer Joint Polar Satellite System

  6. CLASS SDS Data Delivery Data Delivery Data Delivery Data Delivery DataManagement DataManagement DataManagement DataManagement JPSS System Architecture Weather / Climate Products Supporting Space TDRSS GPS TDRSS Space Segment JPSS1330 DWSS1730 LaunchSupportSegment NPOESSPreparatoryProject Offline Support • Algorithm Support • Integrated Support Facility • Calibration/Validation EELV Weather Centrals NAVO FNMOC AFWA NESDIS AlternateMMC Svalbard Primary T&C VAFB FNMOC Interface Data Processing Segment AFWA NESDIS NAVO DQM White SandsComplex LRD HRD MissionManagementCenter (MMC) Processing Processing Processing Processing Processing Field Terminal Segment 15 Globally Distributed Receptor sitesInterconnected by Commercial Fiber Ingest Ingest Ingest Ingest Mission Data Command, Control & Communication Segment

  7. Functional Scope: The NESDIS Central NOAA NPP Data Exploitation (NDE) • Office of Satellite & Product Operations (OSPO) will provide common services: • Data Center Operations • Telecommunications • User Services (Help Desk) • Config. Management • Security Controls • Distribution • Ingest NOAA Satellite Operations Facility (NSOF) Suitland, MD NOAA Environmental Satellite Processing Center (ESPC) JPSS Interface Data Processing Segment (IDPS) Algorithm Development xDR Subscription Requests xDRs xDRs Data Delivery Reports NOAA-Unique Products NOAA JPSS Mission Management Center (MMC) NPP Status xDRs Product Processing Components Work Request/ Status Tailored Products NASA Science Data Segment (SDS) User Services Request/ Response NOAA-Unique Products End-users (NWS, NOS, OAR, & external users) Long-Term Archive (CLASS) xDRs

  8. Direct Readout Stations using Xband

  9. IDPS EDRs VIIRS (22) ALBEDO (SURFACE) CLOUD BASE HEIGHT CLOUD COVER/LAYERS CLOUD EFFECTIVE PART SIZE CLOUD OPTICAL THICKNESS CLOUD TOP HEIGHT CLOUD TOP PRESSURE CLOUD TOP TEMPERATURE ICE SURFACE TEMPERATURE NET HEAT FLUX OCEAN COLOR/CHLOROPHYLL SUSPENDED MATTER VEGETATION INDEX AEROSOL OPTICAL THICKNESS AEROSOL PARTICLE SIZE ACTIVE FIRES IMAGERY SEA ICE CHARACTERIZATION SNOW COVER SEA SURFACE TEMPERATURE LAND SURFACE TEMP SURFACE TYPE CrIS/ATMS (3) ATM VERT MOIST PROFILE ATM VERT TEMP PROFILE PRESSURE (SURFACE/PROFILE) GCOM AMSR-2 (11) OMPS (2) CLOUD LIQUID WATER PRECIPITATION TYPE/RATE PRECIPITABLE WATER SEA SURFACE WINDS SPEED SOIL MOISTURE SNOW WATER EQUIVALENT IMAGERY SEA ICE CHARACTERIZATION SNOW COVER/DEPTH SEA SURFACE TEMPERATURE SURFACE TYPE O3 TOTAL COLUMN O3 NADIR PROFILE CERES (4) DOWN LW RADIATION (SFC) DOWN SW RADIATION (SFC) NET SOLAR RADIATION (TOA) OUTGOING LW RADIATION (TOA) TSIS (1) SARR & SARP SOLAR IRRADIANCE A-DCS EDRs with Key Performance Parameters KEY JPSS Program (Host TBD) JPSS-1 GCOM Joint Polar Satellite System

  10. Jul 2012 Product Suite • Products with NDE Operations Planning Dates • Assumes Oct 25, 2011 launch Blue – IDPS Yellow - NDE

  11. Sep – Dec 2012 Product Suite • Products with NDE Operations Planning Dates

  12. Jan – Feb 2013 Product Suite

  13. April 2013 Product Suite

  14. Jun 2013 – Sep 2014 Product Suite

  15. GOES-R vs JPSS IDPS Products • Aerosol Detection (including Smoke and Dust) • Aerosol Particle Size • Suspended Matter / Optical Depth • Volcanic Ash Detection and Height • Aircraft Icing Threat • Cloud & Moisture Imagery (KPPs) • Cloud Layers / Heights & Thickness • Cloud Ice Water Path • Cloud Liquid Water • Cloud Optical Depth • Cloud Particle Size Distribution • Cloud Top Phase • Cloud Top Height • Cloud Top Pressure • Cloud Top Temperature • Cloud Type • Clear Sky Masks • Fire / Hot Spot Characterization • (red = baseline) • Aerosol Optical Thickness • Aerosol Particle Size • Imagery • Cloud Base Height • Cloud Coverage/Layers • Cloud Effective Particle Size • Cloud Ice Water Path • Cloud Liquid Water • Cloud Mask (IP) • Cloud Optical Thickness • Cloud Top Height • Cloud Top Pressure • Cloud Top Temperature • Active Fires Joint Polar Satellite System

  16. GOES-R vs JPSS Products • Probability of Rainfall • Rainfall Potential • Rainfall Rate / QPE • Legacy Atm. Vertical Moisture Profile • Legacy Atm. Vertical Temperature • Profile Derived Stability Indices (5) • Total Precipitable Water • Land Surface (Skin) Temperature • Surface Albedo • Surface Emissivity • Vegetation Fraction • Green Vegetation Index • Sea & Lake Ice / Age • Sea & Lake Ice / Concentration • Sea & Lake Ice / Extent • Sea & Lake Ice / Motion • Ice Cover / Landlocked: Hemispheric Snow Cover • Snow Depth (Over Plains) • Sea Surface Temps • Atmospheric Vertical Moisture Profile • Atmospheric Vertical Temperature Profile • Ozone Total • ColumnOzoneProfile • Land Surface Temperature • Albedo (Surface) • Vegetation Index • Sea Ice Concentration • Ice Surface Temperature • Snow Cover • Sea Surface Temperature • Ocean Color • Suspended Matter Joint Polar Satellite System

  17. Proving Ground & Risk Reduction for JPSS • The JPSS Proving Ground and Risk Reduction program’s primary objective is to maximize the benefits and performance of NPP/JPSS data, algorithms, and products for downstream operational and research users (gateways to the public) through: • Detailed characterization of data attributes such as uncertainty (accuracy and precision) and long-term stability • Engaging users to enhance their applications (and develop new ones) by working together to facilitate optimal utilization of JPSS data, algorithms and products in combination with other data sources through onsite/offsite testbeds, experimental data streams, and intercomparisons of enhancements with baselines • Education, Training and Outreach • Facilitating transition of improvements (new algorithms/applications) to operations.

  18. Call for proposals due Jan 20, 2012 • Introduction • Identify and describe end user application(s) and importance, and the benefit JPSS data can provide • Identify and describe any current limitation(s), requiring additional research and/or feedback to further realize this benefit. • Identify a user that will be engaged, and describe how you will engage the user, regularly, to understand JPSS products, provide test datasets and to obtain feedback.  • Proposed Work and Technical Approach • Describe methodology to use JPSS data (and other data sources, if necessary) to improve the identified user application. • Milestones and deliverables

  19. Projects need to be supportive of NOAA Goals

  20. Application Areas • Cal/Val Applications • Tropical Cyclone Applications • Cryosphere Applications • Severe Weather/Aviation Applications • Ocean/Coastal Applications (Coral Bleaching, Harmful Algle Bloom alerts) • Land Applications (Agriculture, Droughts) • Hazard Applications (Smoke, Fire, Aerosols, Air Quality, Flash Floods) • Data Assimilation Applications • Imagery/Visualization Applications • Climate Applications

  21. Developer - User Application Teams (DUAPs) NWP Team Tropical Cyclone Team Fire Weather & Air Quality Team Severe Weather and Transportation Hazard Team Ocean Ecosystems Team Land Ecosystems Team Cryosphere Team Hydrology Team Testbed Team Joint Polar Satellite System

  22. Current Projects Joint Polar Satellite System

  23. JPSS Current Portfolio of User Engagement activities • JCSDA CrIS/ATMS Radiance Assimilation Experiments • POCs – Sid Boukabara (NOAA), Nancy Baker(NRL) • Outcome - Impact assessments and improved utilization of radiances • Alaska High Latitude Proving Ground • POC – Gary Hufford/Tom Heinrich • Outcome - Upgrade X-band receiver, generate NPP products, forecaster training, product evaluation and feedback, compare operational products with alternative products using CSPP. • Community Satellite Processing Package (CSPP) • POC – Allen Huang/Liam Gumley • Outcome - Software package/testbed containing IDPS algorithms and capability of alternative algorithms for intercomparisons Joint Polar Satellite System

  24. JPSS Current Portfolio of User Engagement activities • Utility of NPP/JPSS Data to Improve Situational Awareness and Short-term Forecasts in WFO Operations • POC – Gary Jedlovec, SPORT • Outcome - AWIPS/AWIPSII plug-ins for VIIRS SDRs/EDRs, RGB products, training of selected WFOs by adapting current MODIS and AIRS modules, feedback, close coordination with Alaska Proving Ground, and with NRL, CIRA and CIMSS. • SPoRT will use established collaborative partnerships to disseminate VIIRS data and products to various WFOs to engage forecasters in an evaluation of selected products to address specific forecast challenges. Joint Polar Satellite System

  25. JPSS Current Portfolio of User Engagement activities • Application of JPSS Imagers and Sounders to Tropical Cyclone Track & Intensity Forecasting • POC – Mark DeMaria, John Knaff, Steve Miller • Users – Brennan, Beven (NHC), Fukada (JTWC) • Outcome - VIIRS will improve center location, Soundings from CrIS and ATMS to improve intensity forecasting. Information used in existing operational statistical-dynamical intensity forecast model. Strong user engagement with forecasters at NHC and JTWC. • NRL/CIRA NEXSAT VIIRS Imagery Demonstrations Joint Polar Satellite System

  26. Visible Infrared Imaging Radiometer SuiteRaytheon SAS El Segundo, Ca Description • Purpose: Global observations of land, ocean, & atmosphere parameters at high temporal resolution (~ daily) • Predecessor Instruments: AVHRR, OLS, MODIS, SeaWiFS • Approach: Multi-spectral scanning radiometer (22 bands between 0.4 µm and 12 µm) 12-bit quantization • Swath width: 3000 km • Spatial Resolution • 16 bands at 750m • 5 bands at 325m • DNB VIIRS on NPP

  27. VIIRS Data Products • Imagery & Cloud • Imagery • Cloud Mask • Cloud Optical Thickness • Cloud Effective Particle Size Parameter • Cloud Top Parameters • Cloud Base Height • Cloud Cover/Layers • Aerosol • Aerosol Optical Thickness • Aerosol Particle Size Parameter • Suspended Matter Land • Active Fire • Land Surface Albedo • Land Surface Temperature • Ice Surface Temperature • Sea Ice Characterization • Snow Cover/Depth • Vegetation Index • Surface Type Ocean • Sea Surface Temperature • Ocean Color/Chlorophyll

  28. VIIRS Prelaunch Performance(NPP F1 Bands and SNR/NEDT) Courtesy of H. Oudrari

  29. VIIRS Improvements From AVHRR: Radiometric properties Greater spectral coverage with increased radiometric quality

  30. MODIS • 8 405 - 420 • 9 438 - 448 • 10 483 - 493 • 12 546 - 556 • 1 620 - 670 • 13 662 - 672 • 15 743 - 753 • 16 862 - 877 • 2 841 - 877 • 5 1.23 - 1.25 • 26 1.36 - 1.39 • 6 1.63 - 1.65 • 7 2.11 - 2.16 • 20 3.66 - 3.84 • 23 4.02 - 4.08 • 29 8.40 - 8.70 • 31 10.78 - 11.28 • 32 11.77 - 12.27 • 13.2 – 13.5 • 13.5 – 13.8 • 13.8 – 14.1 • 14.1 – 14.4 AVHRR 1 580 - 680 2 840 - 940 3 3.55 - 3.93 4 10.3 - 11.3 5 11.5 - 12.5 VIIRS M1 402 – 422 (750m) M2 436 - 464 M3 478 - 498 M4 545 - 565 I1 580 – 680 (375m) M5 662 - 682 M6 744 - 758 M7 845 - 885 I2 845 - 885 M8 1.23 - 1.25 M9 1.371 - 1.385 M10 1.58 - 1.64 I3 1.58 - 1.64 M11 2.235 - 2.285 M12 3.61 - 3.79 I4 3.55 - 3.93 M13 3.97 - 4.13 M14 8.40 - 8.7 M15 10.3 - 11.3 M16 11.5 - 12.5 I5 10.6 - 12.5 • ABI • 450 – 490 (1km) • 590 – 690 (.5) • 846 – 885 (1) • 4 1.37-1.39 (2) • 5 1.58 - 1.64 (1) • 6 2.23 – 2.28 (2) • 7 3.8 – 4.0 • 8 5.77 – 6.6 • 9 6.75 – 7.15 • 10 7.24 – 7.44 • 8.3 – 8.7 • 9.42 – 9.8 • 13 10.1 – 10.6 • 14 10.8 – 11.6 • 15 11.8 – 12.8 • 16 13.0 – 13.6 Spectral bands of polar imagers (nm or um)

  31. Grass

  32. First Global VIIRS Image VIIRS

  33. VIIRS has a very large cross track and near constant spatial resolution

  34. NPP VIIRS True Color Examples Colorado 11.24.2011 1845 Z, Near Edge of Scan 11.24.2011 2028 UTC, Near Nadir  VIIRS maintains similar spatial resolution quality at edge of 3000 km swath

  35. NPP VIIRS True Color Examples Edge of Scan Intercomparisons NPP VIIRS 11-24-11 1845Z NOAA-19 AVHRR 11-24-11 2000Z NOAA-19 AVHRR 11-24-11 2000Z Aqua MODIS 11-24-11 1840Z NPP VIIRS 11-24-11 1845Z

  36. NPP VIIRS DNB Example

  37. Moonlight Availability Gray Shading= solar zenith angle,Red Line= solar terminator Blue Shading= lunar zenith angle,Blue Line= lunar terminator 5-Year (2011-2015) Statistics (Example) Simulated Satellite Orbits  ~ 40% of nighttime observations offer lunar illumination sufficient to enable many environmental applications, including the following...

  38. Actively Burning Wild Fires Ranch Fire Buckweed Fire Witch Creek Fire California Harris Fire 10/22/2007 Mexico Ensenada Fire • Conventional 3.9 µm tells us where hot spots are located, but including low-light visible tells us the subset of those areas that are actively flaming (discriminating from smoldering areas).

  39. Volcanic Ash Plumes & Lava Flows Chaitén, Chile 6/18/2008 Nabro, Eritrea 6/9-14/2011 Somalia Many forms of low-light visible detection are possible, including ash from moonlight, lava & fires, and plume-induced lightning.

  40. Conclusions JPSS Mission will provide: Input Observations for Weather Forecast Models CrIS, ATMS, VIIRS, OMPS & GCOM Short term Environmental Observations (Events) VIIRS, OMPS, CrIS, ATMS & GCOM Long term Environmental Observations (Climate Change Detection) CERES, TSIS, VIIRS, OMPS, CrIS, ATMS & GCOM User Engagement is critical for ultimate mission success

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