JPSS Products and Capabilities Lihang Zhou NOAA/NESDIS/STAR JPSS - PowerPoint PPT Presentation

JPSS Products and Capabilities Lihang Zhou NOAA/NESDIS/STAR JPSS STAR (JSTAR) Program Manager with contribution from JSTAR Algorithm and Data Products Algorithm Team Leads/Members 1

Cal/Val Process Overview Build Team Build Team Sensor Sensor Characterization Characterization Estab . Sensor Estab . Sensor Stability Stability Post Post - - Launch Launch Plan Dev. Plan Dev. Products Validation EDR Validation Sensor Data Validation SDR Validation Alg. SDR/EDR Alg. Tuning Resource ID Resource ID Tuning & Development & Development Key EDR Key EDR Product Validation Validation Quick - Quick - Look Look Operationalization Alg. Assessment Alg. Assessment Analysis Analysis & Verifications & Verifications Mission Mission SDRs/EDRs products Integration Integration Sens or Sens or Cal/Val Tool Cal/Val Tool Monitor Sensor Monitor Sensor Charar Charar . . Product Ops Product Ops Development Development Stability Stability &Calibration &Calibration Viability Viability LAUNCH LAUNCH LTM PRE PRE - - LAUNCH LAUNCH EOC EOC ICV ICV LTM We Are Here for JPSS-1 We Are Here for SNPP Four Phases of Cal/Val: 1. Pre-Launch – Algorithm verification, sensor testing, and validation preparation 2. Early Orbit Check-out (first 30-90 days) – System Calibration & Characterization 3. Intensive Cal/Val (ICV) – Product Validation 4. Long-Term Monitoring (LTM); through life of sensors 2

Suomi NPP and JPSS-1 Instruments Instrument Type Measurement ATMS and CrIS together provide high ATMS - Advanced Technology vertical resolution temperature and Microwave Sounder water vapor information needed to maintain and improve forecast skill out to 5 to 7 days in advance for extreme weather events, including hurricanes CrIS - Cross-track Infrared Sounder and severe weather outbreaks VIIRS provides many critical imagery products including snow/ice cover, VIIRS – Visible Infrared Imaging clouds, fog, aerosols, fire, smoke Radiometer Suite plumes, vegetation health, phytoplankton abundance/chlorophyll Ozone spectrometers for monitoring OMPS - Ozone Mapping and Profiler ozone hole and recovery of Suite stratospheric ozone and for UV index forecasts CERES - Clouds and the Earth’s Scanning radiometer which supports Radiant Energy System studies of Earth Radiation Budget 3 3

JPSS Environment Products Production VIIRS (28 EDRs) CERES 1 CrIS (5 EDRs) RDR & SDR (for each of 22 bands) RDR RDR & SDR AMSR2 (11 EDRs) 3 EDRs: Carbon Dioxide EDRs RDR, SDR, TDR Carbon Monoxide Active Fires Land Surface Temperature Infrared Ozone Profile EDRs: Albedo (Surface) Ocean Color/Chlorophyll Methane Cloud Liquid Water Sea Surface Wind Speed Aerosol Optical Thickness Quarterly Surface Type Outgoing Longwave Radiation Imagery Snow Cover/Depth Aerosol Particle Size Parameter Sea Ice Characterization Precipitation Type/Rate Snow Water Equivalent Sea Surface Temperature CrIS/ATMS Cloud Base Height Soil Moisture Precipitable Water (2 EDRs) Cloud Cover/Layers Snow Cover Surface Type Sea Ice Characterization Cloud Effective Particle Size Surface Type Sea Surface Temperature Cloud Optical Thickness Suspended Matter Atm Vertical Temperature Profile EDRs: Cloud Top Height Vegetation Indices Atm Vertical Moisture Profile Cloud Top Pressure Green Vegetation Fraction Index Cloud Top Temperature Ocean Color/Chlorophyll Cloud Mask Polar Winds ATMS (11 EDRs) Ice Surface Temperature Sea Surface Temperature Imagery Vegetation Health Index Suite RDR, SDR, TDR EDRs: Cloud Liquid Water Sea Ice Concentration Imagery Snow Cover/Depth Land Surface Emissivity Snow Water Equivalent Land Surface Temperature Temperature Profile OMPS-Nadir Total Precipitable Water Moisture Profile (2 EDRs) Rainfall Rate OMPS-N RDR & SDR KEY EDRs: O 3 Total Column RDR – Raw Data Record O 3 Nadir Profile SDR – Sensor Data Record OMPS-Limb 2 TDR – Temperature Data Record OMPS-L RDR 2 EDR – Environmental Data Record – Products with Key Performance Parameters Bold – Indicates JPSS Ground System xDR Italics – Indicates NOAA Polar Legacy (ESPC) xDR Notes: 1 RDRs for the JPSS-2 Mission are contingent on NASA manifest of the Radiation Budget Instrument (RBI) 2 Not applicable to JPSS-1; contingent on NASA manifest of OMPS-Limb on the JPSS-2 Mission 3 Dependent on the Global Change Observation Mission (GCOM) provided by the Japan Aerospace Exploration Agency December 12, 2013 JPSS-P The JPSS Program includes Ground System Support for the Metop, DMSP, GCOM, and Polar Free Flyer missions This chart is controlled by JPSS Rev B Program Systems Engineering 4

Suomi NPP TDR/SDR Algorithm Maturity Sensor Beta Provisional Validated CrIS February 10, 2012 February 6, 2013 March 18, 2014 ATMS May 2, 2012 February 12, 2013 March 18, 2014 C OMPS March 7, 2012 March 12, 2013 April , 2015 VIIRS May 2, 2012 March 13, 2013 April 16, 2014 C C C C C C C C C Beta C C C C • Early release product. • Initial calibration applied • Minimally validated and may still contain significant errors (rapid changes can be expected. Version changes will not be identified as errors are corrected as on-orbit baseline is not established) • Available to allow users to gain familiarity with data formats and parameters • Product is not appropriate as the basis for quantitative scientific publications studies and applications Provisional • Product quality may not be optimal • Incremental product improvements are still occurring as calibration parameters are adjusted with sensor on-orbit characterization (versions will be tracked) • General research community is encouraged to participate in the QA and validation of the product, but need to be aware that product validation and QA are ongoing • Users are urged to consult the SDR product status document prior to use of the data in publications • Ready for operational evaluation Validated • On-orbit sensor performance characterized and calibration parameters adjusted accordingly • Ready for use in applications and scientific publications • There may be later improved versions • There will be strong versioning with documentation 5 JSTAR SDR Leads: Fuzhong Weng, Changyong Cao, Yong Han, Larry Flynn

VIIRS Imagery EDR • Products  6 of 16 M-band visible/IR bands High interest in all 16 M bands as EDRs from JPSS-1   5 of 5 (all) I-band visible/IR bands  NCC (EDR) derived from DNB (SDR)  DNB is also considered an Imagery product, often finding as many uses as NCC because of better availability. New Error-function-scaled DNB as possible NCC replacement  File Format: HDF5/NetCDF4  • Maturity Status:  Validated 04/23/2014 AERB approved • JPSS-1 Cal/Val Plan/Timeline:  Beta: Launch + 3 months  Provisional: Launch + 6 months  Color-enhanced I-band ( 375 m resolution ) IR image Validated: Launch + 12 months • of Typhoon Genevieve on 8 Aug 2014. Note the Users: extreme (and l ow-noise ) detail of the very cold  NWS (thru AWIPS-I and II) cloud tops, as well as the sloping walls of the  NRL (NexSat online imagery) typhoon eye . http://www.nrlmry.navy.mil/VIIRS.html  NGDC (DNB cloud-free composites) • J1 Updates/Improvements: https://www.ngdc.noaa.gov/eog/viirs/download_monthly.h tml) Reduce striping in DNB   National Ice Center (Great Lakes sector, supplied by NRL)  Possible Additional bands  Alaska (primary users of Direct Broadcast VIIRS)  Improved Data latency  ICVS uses of Imagery for display 6 JSTAR Imagery Lead: Don Hillger

VIIRS Sea Surface Temperature (SST) • Products  ACSPO Sea Surface Temperature (Skin)  File Format: NetCDF4 • Cal/Val Maturity Status:  Validated 09/03/2014 Science Review • Products are monitored online in near-real time  iQUAM: in situ SST quality monitor http://www.star.nesdis.noaa.gov/sod/sst/iquam  SQUAM: SST Quality Monitor http://www.star.nesdis.noaa.gov/sod/sst/squam • Users:  NOAA STAR (GEO/POLAR Blended L4)  NOAA STAR (Coral Reef Watch)  NOS (Chesapeake Bay Ecosystem analysis)  NCDC (Reynolds SST L4)  NASA JPL (JPL MUR L4) • • J1 Updates/Improvements: International Users:  Canadian Met Centre (CMC L4) Fix overly conservative cloud mask in   Australian Bureau of Meteorology (GAMSSA L4) coastal areas and dynamic parts of the  UK Met Office (OSTIA L4) ocean  Japanese Met Agency (MGD L4) Improve performance in the high latitudes   DMI, Denmark (DMI L4)  Explore additional VIIRS bands M13, M14  EUMETSAT (EUMETCAST) potentially useful for SST  JPL/PO DAAC (Archive) Improve error characterization   IFREMER, France (Odyssea L4)  Implement de-striping operationally  Generate new Level 3 ACSPO SST product 7 JSTAR SST Lead: Alex Ignatov

VIIRS Ocean Color EDR Products: • Normalized Water-leaving Radiance • Chlorophyll-a • Water Diffuse Attenuation Coefficient at 490 nm Kd (490) • Total Suspended Sediment, water Turbidity Cal Val Maturity: On March 27, STAR JPSS held a validation review the Multi- Sensor Level 1-2 (MSL12) Ocean Color EDR algorithm with VIIR) data for Validated Maturity. VIIRS chlorophyll climatology. Users: • NMFS (Surveys, Modeling) • NWS (Ecosystem Forecasting, Modeling) • NOS (HAB, Sanctuaries) • OAR (Isoprene emissions, Ocean Acidification) J1 Updates/Improvements: Algorithms improvements for coastal turbid and inland water are being developed Example of destriping technique (Mikelsons et al. 2014) applied to water leaving radiances. JSTAR Ocean Color Lead: Menghua Weng