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NPOESS Data Exploitation Status Update

NPOESS Data Exploitation Status Update. COPC 13 Nov 2008 John Zapotocny. Approved for Public Release Distribution Unlimited. Overview. Risk Reduction Strategy Early centrals interface Use current advanced sensor data Collaboration via JCSDA Infrastructure Enhancements

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NPOESS Data Exploitation Status Update

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  1. NPOESS Data Exploitation Status Update COPC 13 Nov 2008 John Zapotocny Approved for Public Release Distribution Unlimited

  2. Overview • Risk Reduction Strategy • Early centrals interface • Use current advanced sensor data • Collaboration via JCSDA • Infrastructure Enhancements • MetSat ingest and data storage redesign • Weather Data Analysis (WDA) program • Data Applications • Imagery products • Model data assimilation • High resolution cloud analysis & forecasts

  3. Risk Reduction Strategy Early Centrals Interface • IDPS Early Centrals Interface • Supports testing for AFWA internal applications • Improves the quality of the delivered IDPS by identifying issues early-on • IDPS development/test resources on-site to support AFWA’s software development process • IDPS software installed on AFWA equipment • AFWA staff training completed nearly a year ago • Independent testing by AFWA on-going • Canned test data (~2TB) transferred from replicated IDPS • Datasets are roughly 100x legacy volume • IA process issues continue to be a challenge • Interim Approval to Test (IATT) allowing connection to AFWA operational network expected NLT Dec 08

  4. Risk Reduction Strategy Use of Current Advanced Sensor Data • MODIS • Data comes in HDF EOS format (precursor to HDF 5) and is a good proxy for NPP/NPOESS format • Currently ingesting MODIS data via DREN (RDT&E only) • Continuing challenges with data feed from NESDIS • Only partial data receipt via DATMS-U • METOP • Planned to fill third orbit requirement during NPOESS era • AFWA receiving 8-minute data granules via DATMS-U • 120+ min latency of MetOp data does not meet AFWA timeliness requirements for global cloud analysis

  5. Risk Reduction Strategy Collaboration via JCSDA • JCSDA is AFWA’s primary vehicle for data assimilation capability development • 6 AFWA-funded projects directly related to NPP/NPOESS • Impact assessment of AIRS (CrIS proxy) in WRF • MODIS (VIIRS proxy) skin temperatures in Land Information System (LIS) • Integration of CRTM into LIS (will support NPP sensors) • Impact of AMSU and AIRs cloudy radiances in WRF • Integrate MODIS/METOP cloud optical properties into WWMCA • Impact of VIIRS cloudy/precipitating radiances on WRF using GSI • AFWA migrating to GSI data assimilation engine for WRF • More effectively leverages community development • NCAR is energized – provides transition path and synergy • Increased on-site presence at JCSDA • Visiting Scientist positions increase to 3 beginning CY09

  6. Infrastructure Enhancements Ingest and Data Storage • AFWA has redesigned ingest sub-system in preparation for NPOESS era • Data placed directly on SAN landing zone prior to processing to allow virus scanning before promoting to a trusted location for product generation and dissemination • Redesign enables ingest of MODIS and METOP data from DATMS-U network emulating NPOESS IDPS connection • Systems Engineering, Management, and Sustainment (SEMS) team worked with IDPS staff to optimize connection and data flow between the IDPS and AFWA SAN • Required to support NPP system tests planned for Jan – Mar 2009

  7. Landing Shared Zone Data Environment Infrastructure Enhancements Ingest and Data Storage GOES-E/W POES, DMSP MTSAT Meteosat-7 Metop-A NOAA-18 “blind” Meteosat-8 MODIS data Sun V40z Front end boxes MSG Dell front end boxes DATMS-U AFWA Central Storage WPMDS Emulates IDPS Emulates NPOESS Security Architecture Central APPS Server DMZ

  8. Infrastructure Enhancements Weather Data Analysis Program • AFWA’s Weather Data Analysis (WDA) program will store, process, and disseminate NPOESS/NPP data • Technical challenges • Massive volume of time critical data • Integration with existing WDA capabilities • Relay of NPP data to Navy Centrals • Requirements to “slice & dice” incoming data sets, sampling for spatial resolution, and subset extractions to meet users requests • Evaluating opportunities for NESDIS collaboration/reuse • AFWA’s internal applications will migrate to HDF5 format and adjust to granule based data of NPOESS/NPP • Vendor not yet on contract • Projected award late Spring 09

  9. Data Applications Multispectral Imagery Products Vis IR MSI

  10. Data Applications Multi-channel Fog Detection Fog

  11. Data Applications Theater NWP Model • WRF Data Assimilation System will ingest raw brightness temperature radiances—SDR’s • Planned integration to operations as follows: • AMSU (NOAA/MetOp) — Nov 2008 • COSMIC (FORMOSAT) — Spring 2009 • AIRS (NASA EOS) — Spring 2009 • SSMIS (DMSP) —Winter 2010 • CrIS/ATMS (NPP) — Winter 2011* • IASI (METOP) — Winter 2012* • GRAS (METOP) — Winter 2013* *May be operational sooner with AFWA transition to GSI in early 2011

  12. Data Applications Land Surface and Cloud Modeling • Land Information System (LIS) • MODIS/NPP/NPOESS • Snow Cover (R&D ongoing, initial integration FY09/10) • Vegetation cover/health (R&D ongoing, initial integration FY09/10) • Land Surface temperature (R&D ongoing, integration FY09/10) • AMSR-E/NPOESS-MIS (mission C2) • Snow Depth (R&D complete, integration AMSR-E capability FY09/10) • Soil Moisture (planned FY09/10 R&D, integration FY11/12) • Cloud Analysis and Forecasting (CDFS-II) • MODIS/NPP/NPOESS • VIIRS cloud mask integration FY09 • Cloud Optical Properties (R&D Ongoing, integration FY10-11)

  13. Data Applications High Resolution Global Cloud Analysis & Forecast • 6 km resolution global cloud analysis using MODIS • Analysis generated hourly but data are 2-4 hours latent • Land surface backgrounds (e.g. snow/ice and highly reflective desert conditions) negatively affect products • Need to continue updating AFWA land surface characterization capabilities • 5 km resolution regional cloud forecasts using Diagnostic Cloud Forecast (DCF) based on WRF • Hi-res global cloud analysis is used to tune the WRF DCF coefficients for optimal performance • Forecasts showing skill improvement over traditional WWMCA-based forecasts particularly beyond 9 hours

  14. Data Applications High Resolution Global Cloud Analysis LINK: https://weather.afwa.af.mil/host_home/DNXM/SPECM/dcf.html

  15. Data Applications High Resolution Regional Cloud Forecasts https://weather.afwa.af.mil/cgi-bin/aneph_data.cgi

  16. Data Applications High Resolution Regional Cloud Forecasts LINK: https://weather.afwa.af.mil/host_home/DNXM/SPECM/dcf.html

  17. Summary • AFWA aggressively preparing for NPP/NPOESS • Several Infrastructure, data processing, and application projects underway and planned • Leveraging collaborative development via JCSDA for NPOESS model data assimilation • Advanced sensor data assimilation showing favorable impact in WRF based on NCAR studies • Prototype high res cloud forecast showing skill improvement • AFWA will play important role in VIIRS Calibration & Validation (CalVal) • Goal is to achieve initial operational capability (IOC) for most NPP processing by end of respective CalVal periods

  18. Questions?

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