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Design Review: Enhanced Blended TPW and Blended RR

Design Review: Enhanced Blended TPW and Blended RR. Presented by Limin Zhao, Stan Kidder, and ??????. Outline. Introduction Project Requirements Algorithm Review System Design Quality Assurance Operations Concept Risks and Actions Summary. Introduction.

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Design Review: Enhanced Blended TPW and Blended RR

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  1. Design Review:Enhanced Blended TPW and Blended RR Presented by Limin Zhao, Stan Kidder, and ??????

  2. Outline • Introduction • Project Requirements • Algorithm Review • System Design • Quality Assurance • Operations Concept • Risks and Actions • Summary

  3. Introduction • This project builds on the successful operational implementation of the Blended TPW in March 2009 • Two products are to be implemented in FY09: • Blended Rain Rate product • Adding MIRS products, especially SSMIS products, to the Blended TPW product • All products are implemented in DPEAS, which was ported to the IBM system in FY08

  4. Project Requirements • SPSRB #0708-0023, POES-GOES Blended Hydrometeorological Products; SPSRB #9902-19: POES/DMSP Blended Products. • Generate operational blended TPW and RR products from POES , MetOP, DMSP, GOES and GPS. • Others: (1) NWS AWIPS OB9; (2) NOAA's Hydrometeorological Testbed (HMT); (3) NOAA's Scientific Data Stewardship (SDS) program. • User Community • NWS WR, NWS SPC, NWS NHC, NWS HPC, NWS WFOs (AWIPS) • NESDIS/SAB • NOAA Mission Goals Supported • Weather and Water , Ecosystems, Climate • Commerce and Transportation • Goal Wide – Satellite Services; Polar satellites acquisitions • Mission Priority: Mission Critical/High- cannot meet operational mission objectives without this requirement.

  5. Algorithm Review • Enhanced Blended TPW product: • MIRS retrievals added • Surface type added to algorithm to separate land and ocean TPW blending algorithms.

  6. Enhanced Blended TPW 15 Jan 2010 1705 UTC NOAA 19, MetOp-A, DMSP F16 (MIRS)

  7. Enhanced Blended TPW—Close UP 15 Jan 2010 1705 UTC MIRS DMSP F16 SSMIS TPW successfully blended! DMSP F16 DMSP F16

  8. Algorithm Review • Enhanced Blended TPW product: • MIRS retrievals added • Surface type added to algorithm to separate land and ocean TPW blending algorithms. • Blended Rain Rate product: • Blending algorithm developed (see following slides) • Test operation implemented at CIRA http://cat.cira.colostate.edu • Blends RR data from NOAA 15, 16, 17, 18, and MetOp-A (does not use MIRS RR because of lower resolution, does not use NOAA 19 RR because of MHS problems).

  9. 5-Day Histograms(of raining pixels) 1.0 0.25 OCEAN “LAND” SSM/I 0.25 mm/hr bins MHS PDF PDF AMSU-B 0.0 0.0 0 0 2 2 4 4 6 6 8 8 10 10 Rain Rate (mm/hr) SSM/I shows expected “lognormal” distribution, but AMSU-B and MHS do not Over “land” all PDFs are similar

  10. Cumulative PDF 1.0 CPDF Interpolate CPDFs to correct RR OCEAN 0.0 Rain Rate (mm/hr) 0 2 4 6 8 10 Corrected RR Input RR

  11. The RR Blending Algorithm • No correction over land (=“not ocean”) • No correction for SSM/I • For AMSU-B and MHS over ocean • No correction for RR > 5 mm/hr • Only negative corrections allowed • All scan positions treated the same • DMSP F13 SSM/I is the “reference satellite” • DMSP F13 histograms were captured before its failure • Linearly interpolate the CPDFs to get correction

  12. All AMSU-B or MHS Before Note lack of rain rates below 0.5 mm/hr Too much blue and green

  13. After AMSU-B or MHS SSM/I AMSU-B and MHS look a lot more like SSM/I than they would have without correction

  14. System Design • The Operational Blended TPW System • The Enhanced Blended TPW and RR System • Inside DPEAS • TPW processing • RR processing

  15. The Operational Blended TPW Products System Diagram Satepsdist4 ESPC Diamond AMSU TPW North/Emerald/Diamond DPEAS (Blended TPW) McIDAS Processing AWIPS Processing Satepsdist1 Product Server sftp push sftp push ESPC satepsdist1 GPS & GOES TPW Satepsdist4 ADDE server SOS Image Processing sftp push sftp push GINI DDS Cyclone QC/VAL sftp pull (spider) sftp push direct access sftp push sftp push ANCF/SBN Satepsanone SOS TPW image NAWIPS CLASS SAB Web Farm Monitoring AWIPS Web Farm Monitoring Users Data/Products Processing Input Data Includes:AMSU TPW from MSPPS, GOES TPW from SFOV, and GPS from NWS/NOAAPort Server User

  16. The EnhancedBlended TPW and Blended RRProducts System Diagram Satepsdist4 ESPC Diamond AMSU & SSMIS TPW & RR North/Emerald/Diamond DPEAS (Blended TPW & RR) McIDAS Processing AWIPS Processing Satepsdist1 Product Server sftp push sftp push ESPC satepsdist1 GPS & GOES TPW Satepsdist4 ADDE server SOS Image Processing sftp push sftp push GINI DDS Cyclone QC/VAL sftp pull (spider) sftp push direct access sftp push sftp push ANCF/SBN Satepsanone SOS TPW image NAWIPS CLASS SAB Web Farm Monitoring AWIPS Web Farm Monitoring Users Data/Products Processing Input Data Includes:AMSU TPW & RR from MSPPS, SSMIS TPW from MIRS, GOES TPW from SFOV, and GPS from NWS/NOAAPort Server User

  17. The EnhancedBlended TPW and Blended RRProducts System Diagram Satepsdist4 ESPC Diamond AMSU & SSMIS TPW & RR North/Emerald/Diamond DPEAS (Blended TPW & RR) McIDAS Processing AWIPS Processing Satepsdist1 Product Server sftp push sftp push ESPC satepsdist1 GPS & GOES TPW Satepsdist4 ADDE server SOS Image Processing sftp push sftp push GINI DDS Cyclone QC/VAL What Happens in DPEAS? sftp pull (spider) sftp push direct access sftp push sftp push ANCF/SBN Satepsanone SOS TPW image NAWIPS CLASS SAB Web Farm Monitoring AWIPS Web Farm Monitoring Users Data/Products Processing Input Data Includes:AMSU TPW & RR from MSPPS, SSMIS TPW from MIRS, GOES TPW from SFOV, and GPS from NWS/NOAAPort Server User

  18. Ocean Land Inside DPEAS ESPC TPW swath data ESPC GOES PW data ESPC GPS TPW data DPEAS TPW Processing Data Ingest (produces augmented HDFEOS data files) NEW: MIRS data ingest Data Ingest (already gridded) Data Ingest Objectively analyze the GPS data (Barnes analysis) Apply blending algorithm NEW: Use surface type to control blending Map the data (one swath per map) Blend Land and Ocean TPW to form final product Composite the maps (produces a global map of TPW over ocean)

  19. Inside DPEAS ESPC RR swath data DPEAS RR Processing Data Ingest (produces augmented HDFEOS data files) Apply RR blending algorithm Map the data (one swath per map) Composite the maps

  20. System Design Summary • The system design is based on the operational Blended TPW system • System modified to handle MIRS data • Blended RR added using same technology as operational Blended TPW

  21. Quality Assurance • System-Level Quality Control • Process Quality Assurance • Product QC Monitoring

  22. Operations Concept • Product Generation • Product Monitoring • Product Maintenance • Product Dissemination • Product Archive

  23. Risks and Actions • The new DPEAS code has not yet been implemented at OSDPD • However, the code runs in real-time at CIRA, and • Last year all of DPEAS was ported to OSDPD, this year only a few modules need to be ported, which should be easy.

  24. Summary

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