Presented by Limin Zhao, Stan Kidder, and ?????? Slide 2 Outline
Introduction Project Requirements Algorithm Review System Design
Quality Assurance Operations Concept Risks and Actions Summary 2
Slide 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 3 Slide 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. 4 Slide 5 Algorithm Review Enhanced Blended TPW
product: MIRS retrievals added Surface type added to algorithm to
separate land and ocean TPW blending algorithms. 5 Slide 6 6
Enhanced Blended TPW 15 Jan 2010 1705 UTC NOAA 19, MetOp-A, DMSP
F16 (MIRS) Slide 7 7 Enhanced Blended TPWClose UP 15 Jan 2010 1705
UTC DMSP F16 MIRS DMSP F16 SSMIS TPW successfully blended! Slide 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
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). 8 Slide 9 5-Day
Histograms (of raining pixels) OCEANLAND PDF 0.0 1.0 0.0 PDF 0.25
SSM/I AMSU-B MHS 024681002468 Rain Rate (mm/hr) 0.25 mm/hr bins
SSM/I shows expected lognormal distribution, but AMSU-B and MHS do
not Over land all PDFs are similar 9 Slide 10 Cumulative PDF
0246810 Rain Rate (mm/hr) OCEAN CPDF 0.0 1.0 Input RR Corrected RR
Interpolate CPDFs to correct RR 10 Slide 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 11 Slide 12 Before All AMSU-B or MHS
Note lack of rain rates below 0.5 mm/hr Too much blue and green 12
Slide 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 13 Slide 14
System Design The Operational Blended TPW System The Enhanced
Blended TPW and RR System Inside DPEAS TPW processing RR processing
14 Slide 15 15 The Operational Blended TPW Products System Diagram
North/Emerald/Diamond DPEAS (Blended TPW) ESPC Diamond AMSU TPW
ESPC satepsdist1 GPS & GOES TPW McIDAS Processing AWIPS
Processing SOS Image Processing Satepsdist4 ADDE server Satepsdist4
Satepsanone SOS TPW image NAWIPS Satepsdist1 Product Server GINI
AWIPS Web Farm Monitoring DDS CLASSSAB Users Cyclone QC/VAL Web
Farm Monitoring sftp push sftp push sftp push sftp pull (spider)
direct access ANCF/SBN Input Data Includes: AMSU TPW from MSPPS,
GOES TPW from SFOV, and GPS from NWS/NOAAPort Processing Server
User Data/Product s sftp push Slide 16 16 The Enhanced Blended TPW
and Blended RR Products System Diagram North/Emerald/Diamond DPEAS
(Blended TPW & RR) ESPC Diamond AMSU & SSMIS TPW & RR
ESPC satepsdist1 GPS & GOES TPW McIDAS Processing AWIPS
Processing SOS Image Processing Satepsdist4 ADDE server Satepsdist4
Satepsanone SOS TPW image NAWIPS Satepsdist1 Product Server GINI
AWIPS Web Farm Monitoring DDS CLASSSAB Users Cyclone QC/VAL Web
Farm Monitoring sftp push sftp push sftp push sftp pull (spider)
direct access ANCF/SBN Input Data Includes: AMSU TPW & RR from
MSPPS, SSMIS TPW from MIRS, GOES TPW from SFOV, and GPS from
NWS/NOAAPort Processing Server User Data/Product s sftp push Slide
17 17 The Enhanced Blended TPW and Blended RR Products System
Diagram ESPC Diamond AMSU & SSMIS TPW & RR ESPC satepsdist1
GPS & GOES TPW McIDAS Processing AWIPS Processing SOS Image
Processing Satepsdist4 ADDE server Satepsdist4 Satepsanone SOS TPW
image NAWIPS Satepsdist1 Product Server GINI AWIPS Web Farm
Monitoring DDS CLASSSAB Users Cyclone QC/VAL Web Farm Monitoring
sftp push sftp push sftp push sftp pull (spider) direct access
ANCF/SBN Input Data Includes: AMSU TPW & RR from MSPPS, SSMIS
TPW from MIRS, GOES TPW from SFOV, and GPS from NWS/NOAAPort
Processing Server User Data/Product s sftp push
North/Emerald/Diamond DPEAS (Blended TPW & RR) What Happens in
DPEAS? Slide 18 Inside DPEAS 18 ESPC TPW swath data DPEAS TPW
Processing Data Ingest (produces augmented HDFEOS data files) Apply
blending algorithm Map the data (one swath per map) Composite the
maps (produces a global map of TPW over ocean) Data Ingest (already
gridded) ESPC GPS TPW data ESPC GOES PW data Data Ingest
Objectively analyze the GPS data (Barnes analysis) Blend Land and
Ocean TPW to form final product OceanLand NEW: MIRS data ingest
NEW: Use surface type to control blending Slide 19 Inside DPEAS 19
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 Slide 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 20 Slide 21 Quality
Assurance System-Level Quality Control Process Quality Assurance
Product QC Monitoring 21 Slide 22 22 Slide 23 23 Slide 24 24 Slide
25 25 Slide 26 Operations Concept Product Generation Product
Monitoring Product Maintenance Product Dissemination Product
Archive 26 Slide 27 27 Slide 28 28 Slide 29 29 Slide 30 30 Slide 31
31 Slide 32 32 Slide 33 33 Slide 34 34 Slide 35 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. 35 Slide 36 Summary 36
