MO4.L10 - EVALUATION OF CRIS/ATMS PROXY RADIANCES/RETRIEVALS WITH IASI RETRIEVALS, ECMWF ANALYSIS AND RAOB MEASUREMENTS
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MO4.L10 - EVALUATION OF CRIS/ATMS PROXY RADIANCES/RETRIEVALS WITH IASI RETRIEVALS, ECMWF ANALYSIS AND RAOB MEASUREMENTS

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MO4.L10 - EVALUATION OF CRIS/ATMS PROXY RADIANCES/RETRIEVALS WITH IASI RETRIEVALS, ECMWF ANALYSIS AND RAOB MEASUREMENTS MO4.L10 - EVALUATION OF CRIS/ATMS PROXY RADIANCES/RETRIEVALS WITH IASI RETRIEVALS, ECMWF ANALYSIS AND RAOB MEASUREMENTS Presentation Transcript

  • Evaluation of CrIS/ATMS Proxy Radiances/Retrievals With IASI Retrievals, ECMWF Analysis and RAOB Measurements Murty Divakarla1, Chris Barnet2, Mitch Goldberg2, Xu Liu3, Bill Blackwell4, Eric Maddy5, Guang Guo5, Susan Kizer3, Tom King5, Walter Wolf2, Antonia Gambacorta5, and Kexin Zhang5 1IM Systems Group Inc., 6309 Executive Blvd, Rockville, MD, 20852 USA. 2STAR, NOAA/NESDIS, Camp Springs, MD , 20746 USA. 3NASA Langley Research Center, Hampton, VA 23681, USA. 4MIT Lincoln Laboratory, Lexington, MA 02420 USA. 5PSGS, Fairfax, VA 20706 USA. Paper Number: GR-10 1973 GR- 2010 IEEE International Geoscience and Remote Sensing Symposium July 25-30, Honolulu, Hawai 25- Acknowledgements: Kevin Garrett, Tony Reale, Frank Tilley Camp Springs, MD 20746. 1
  • Hyper- Hyper-Spectral IR Sounders and MW Instruments AIRS/IASI/CrIS and AMSU-A/MHS/ATMS AMSU- AIRS 9FOVs 1 2 3 4 5 6 7 8 9 8461 IASI 4FOVs CrIS 9FOVs 1 2 3 4 5 6 7 8 9 Aqua-AIRS/AMSU-A 1:30 AM/PM Atmospheric Infrared Sounder (AIRS) – 2378 IR Channels MetOp-IASI/AMSU-A/MHS 9:30 PM/AM Infrared Atmospheric Sounder Interferometer (IASI) – 8461 IR Channels NPP-C1 C3: CrIS/ATMS 1:30 NPP C1 & C3 C IS/ATMS 1 30 AM/PM Cross-track I f C t k Infrared Sounder (C IS) 1317 IR Channels dS d (CrIS) Ch l Advanced Microwave Sounding Unit (AMSU-A15 CH MW temperature sounder - 55 GHz Oxygen band) Microwave Humidity Sounder (MHS 5 CH ~ 183 GHz) Advanced Technology Microwave Sounder (ATMS – 22 CH Temperature and Moisture sounder) AMSU/MHS 2
  • CrIS/ATMS SDRs (and EDRs) Proxy vs. Synthetic y y y 3
  • Outline for Presentation CrIS/ATMS Proxy SDRs and CrIMSS EDRs 1. Product Retrieval Algorithm(s)/Retrieval Products (EDRs) » NGAS CrIS and ATMS EDR Product Algorithm (Science Interface) – Crimss_Larc_v1.5, Developed by Xu Liu and Kizer  Implemented at NOAA/STAR » NOAA-IASI Operational Retrievals from NOAA/NESDIS/NUCAPS NOAA- 2. Data Sets for CrIS/ATMS Proxy Data Generation and NGAS- NGAS- CrIMSS EDR Product Evaluation » MetOp Global Data (MGD) Matches of ECMWF/RAOBs/GFS » Focus Day (10/19/2007) Data MetOp IASI/AMSU-A/MHS IASI/AMSU-A/MHS, ECMWF, AVN 3. Proxy Data Generator Algorithms from LaRC and MIT – C IS P CrIS Proxy – X Li and Ki Xu Liu d Kizer (LaRC) (L RC) – ATMS Proxy - Bill Blackwell (MIT)  Implemented at NOAA/STAR 4. Evaluation of Proxy Data Sets (CrIS/ATMS) and NGAS EDRs – With Corresponding IASI/AMSU-A/MHS SDRs IASI/AMSU- 4 – With ECMWF/RAOBs and IASI EDRs.
  • 1. Product Retrieval Algorithms /Retrieval Products CrIMSS_LaRC_1.5 Version Ported from NPP- NPP-NGAS IDPS CrIMSS EDR Product Algorithm g Simultaneous Retrieval T(p), q(p), O3(p),Tskin Spectral Emissivities OSS-RTM Use of EOFs to Characterize and Measure Retrieved Parameters a-priori Constraints Derived from a Blended Training Data Set 5
  • 1. Product Retrieval Algorithms /Retrieval Products NOAA Retrievals of Core Products and Trace Gas Products 1 :3 0 P M /A M A q u a -A IR S M e tO p -IA S I 9 :3 0 A M /P M CrIS/ATMS R e trie v a l Code ECM W F NCEP SO N DES R e trie v a l ATOVS p ro d u c ts  The NOAA level 2 retrieval processing system was developed during the Aqua mission (AIRS/AMSU-A) (AIRS/AMSU-  Expanded to retrieve MetOp (IASI/AMUS-A/MHS) T(p), q(p), O3(p) core (IASI/AMUS- products, and trace gas products (CH4, CO, CO2 etc.)  Emerging as NOAA-Unique CrIS/ATMS Product System (NUCAPS) NOAA-  Identical systems one for research and the other for operations – Reprocessing Options with Algorithm Upgrades, New Data – Emulate Various IASI/ AIRS Retrieval Algorithms http://www.orbit.nesdis.noaa.gov/smcd/spb/iosspdt/iosspdt.php#1 6
  • Data Sets for CrIS/ATMS Proxy SDR Generation and EDR Evaluation MetOp-IASI/Aqua-AIRS Match-up Database Aqua-AIRS: (2002- Current) MetOp-IASI: January 2008 - C M tO IASI J Current) t) RAOB Measurements Matched to Aqua (1:30 AM/PM) and MetOp(9:30 AM/PM) Satellite Observations MetOp-IASI/AMSU-A/AMSU-B Level1B Radiances IASI Level-2 Retrievals Aqua-AIRS/AMSU-A Level1B Radiances AIRS Level-2 Retrievals NCEP-GFS (AVN) Level2-Forecast/Analysis ECMWF Level-2 Forecast/Analysis NOAA-18 ATOVS/M2-ATOVS Level-2 Retrievals Ability to Get Matched O3SNDs and TO3 (BD Measurements) From WOUDC Collocated Within ±3 Hrs. & 100 Km Radius ~ 100,000 Matches for IASI (2008 …) ~ 200,000 Matches for AIRS (2002 …) Source of RAOB Data : OSDPD MDB NOAA/NESDIS OSDPD, MDB, Many Publications - AIRS Website, NOAA/STAR/ Website http://www.orbit.nesdis.noaa.gov/smcd/spb/iosspdt/iosspdt.php#1 7
  • Data sets Proven Valuable for Global Validation Aqua- Aqua-AIRS T(p), q(p) Validation 8
  • IASI Retrieval Validation with RAOBs, ECMWF etc. Accepted Samples : 11,400 (Sea), 67,434 (Global) p p , ( ), , ( ) ALL RAOBs and ALL Instrument Types Were Selected (Total Number of Site/Type:1093) (Results will Improve Further If we do STATS with Selected RAOBs, Inst Types) Land Sea Coast ALL 22876/41182 CLDCLR (56%) 11400/18811 CLDCLR (60%) 33158/61914 CLDCLR (54%) 67434/121907 CLDCLR (55%) 237/372 CLR (63%) 1995/2369 CLR (84%) 2874/4068 CLR (70%) 5106/6809 CLR (74%) 9
  • IASI Statistics – RMS - Global - Sea Yield : 60% , NSAMP: 11,400 50 100 100 200 Pressure (hPa) ( 400 300 600 1000 0 1000 0 1 2 3 4 0 20 40 60 RMS RMS Difference: Left Panel for Temperature (K), Right Panel for Water Vapor (%) (K) RAOB vs. IASI-RET ECMWF, NCEP-GFS, ATOVS IASI- ECMWF, NCEP-GFS, _______ ----------- -------------- ______ 10
  • 2. Data Sets for CrIS/ATMS Proxy Data Generation and EDR Product Evaluation (b) Focus Day Data Sets Consists of 236 Granules of Matched Datasets for the ‘Focus Day’ » October 19, 2007 (10/19/2007) » Each Granule Contains 22 or 23 Scan Lines of – CrIS/ATMS Proxy SDRs – IASI/AMSU-A/MHS SDRs IASI/AMSU- – CrIMSS EDR products – IASI EDR Products from NOAA IASI Operations (NUCAPS) – NCEP-GFS and ECMWF Analysis NCEP- Approximate Granule Locations Fields Size Not to Scale Two More Focus Days (10/19/2008, 05/11/2010) of Data is on the Way
  • IASI–to- IASI–to-CrIS IASI-to-CrIS: Proxy Data Algorithm(Xu Liu and Kizer, SOAT Meeting, 2009) 12
  • Proxy Data Verification – IASI-> CrIS IASI- Figure 4. IASI observed brightness temperature spectra (top) and the corresponding CrIS proxy brightness temperature spectra (bottom). The IASI instrument has 8461 IR channels spanning the IR spectrum 645-2760 cm-1. The instrument has 4 fields of view (FOVs) for each Field f R Fi ld of Regard (FOR) and the radiances are Gaussian apodized. The CrIS instrument has a total of 1315 IR channels in 3 bands covering d d h di G i di d Th C IS i h l f h l i b d i longwave (655-1095 cm-1), midwave (1210-1750 cm-1), and shortwave (2155-2550 cm-1) channels with spectral gaps between the bands. The instrument has 9 FOVs for each FOR and the radiances are Hamming apodized. The plot is generated from the first FOR of the granule 139 SDR file. Similar plots for each granule (the first FOR in the SDR files) can be viewed at the web site that is currently under 13 construction (http://www.star.nesdis.noaa.gov/smcd/spb/iosspdt/iosspdt.php).
  • IASI–to- IASI–to-CrIS Xu Liu’s Proxy Data Algorithm Results for the Focus Day, 10/19/2007 962.5 cm-1 1232 cm-1 IASI IASI CrIS CrIS DIF MAP DIF MAP Similar figures for many other frequencies over the CrIS spectrum are available 14
  • AMSU/MHS To ATMS Proxy Data / y MHS AMSU-A/MHS -> ATMS Proxy Algorithm(Blackwell, SOAT Meeting, 2009) 15
  • AMSU- AMSU-A/MHS to ATMS Results for the Focus Day, 10/19/2007 23GHz and 52.48 GHz 23 GHz 52.48 GHz AMSU CH 1 AMSU CH 5 A A ATMS CH 1 ATMS CH 6 H H DIF MAP DIF MAP F F Similar figures for all the AMSU-A/MHS and ATMS channels are available 16
  • AMSU vs. ATMS Proxy Data Stats for “The Focus Day”, 10/19/2007 y / / QV vs.QH 17
  • Microwave Integrated Resource System (MIRS) Retrieval QC – ATMS Proxy vs. Real Observations NOTE: MIRS Retrievals perform empirical bias-tuning to proxy-ATMS using ECMWF before using them to generate MIRS-NPP-ATMS Proxy Retrievals. 18 Thanks to : Kevin Garrett, NOAA/STAR
  • CrIMSS Retrieval Comparisons with IASI Retrievals and ECMWF ( ) (1)In p (1)In performing these comparisons We haven’t still g p analyzed the Quality Flags for the CrIMSS Retrievals. • IASI QC flag was used to pick the corresponding CrIMSS retrieval. • This could be slightly ‘un-fair’ for CrIMSS EDR product ‘un- in the i th sense th t a profile accepted b th IASI system that fil t d by the t might have got rejected by the CrIMSS EDR QC. Nevertheless, this analysis provides some in-sight into in- CrIMSS retrievals. retrievals (2)The (2)The CrIMSS Algorithm may require ‘empirical bias corrections’. We haven’t yet done that. 19
  • CrIMSS Retrieval Comparisons with IASI Retrievals and ECMWF (STDEV)(Granule 139, SH_TR, Sea) (STDEV)(Granule ‘Using IASI-QC and CrIMSS Not Tuned’ IASI- 50 100 00 10 200 Pressur (hPa) re 400 300 00 60 000 000 10 10 0 1 2 3 4 0 20 40 60 Left Panel for Temperature, Right Panel for Water Vapor  STDEV :ECMWF vs.. IASI (IR + MW) (Solid Red) ( ) ( )  SDDEV : ECMWF vs.. CrIMSS (IR+ MW) (Dotted Red)  STDEV : ECMWF vs.. IASI (MW) (Solid Green)  STDEV : ECMWF vs.. CrIMSS (MW) (Dotted Green 20 N: 588/660 %Accepted (CLDCLR) : 89%, % “CLEAR”:27% (IASI Minimum CLD Amount)
  • CrIMSS Retrieval Comparisons with IASI Retrievals and ECMWF (STDEV) Granule 238, (Land + Sea) ‘Using IASI-QC and CrIMSS Not Tuned’ IASI- 50 100 00 10 200 Pressur (hPa) re 400 300 00 60 000 000 10 10 Land/Sea Interface MW – Troubling MW Retrievals ? 0 1 2 3 4 0 20 40 60 Left Panel for Temperature, Right Panel for Water Vapor  STDEV :ECMWF vs.. IASI (IR + MW) (Solid Red) ( )( )  SDDEV : ECMWF vs.. CrIMSS (IR+ MW) (Dotted Red)  STDEV : ECMWF vs.. IASI (MW) (Solid Green)  STDEV : ECMWF vs.. CrIMSS (MW) (Dotted Green) 21 N: 648/690 %Accepted (CLDCLR) : 93%, %”CLEAR”: 23% (IASI MinimumCLD Amount)
  • Synergetic Use of MIRS Retrievals with CrIMSS (MW) EDRs Could Improve/Resolve some Issues. MIRS Retrievals Surrounding Granule 238 ATMS Proxy Data – MIRS Retrieval MetOP AMSU/MHS MetOP-AMSU/MHS Obs. MIRS Retrieval Proxy ATMS Ret. Takes More k Iterations at L/S Boundary 22
  • IASI/CrIMSS Retrievals - RAOB/ECMWF Locations (I have STATS for TROP/Mid-LAT/POLAR and for land/sea/all, etc..) TROP/Mid- ‘Using IASI-QC and CrIMSS Not Tuned’ IASI- Y ield w ith E very M atch of R A O B (R S -90,R S -80, etc.) and A L L IN S T. T ypes Land S ea C oast A LL 832/1355 = 61% 364/618=59% 1051/1982=53% 2247/3955=57% 7/31 C lear (0 % ) 71/99 C lear (20% ) 104/138 C lear(9% ) 182/317 C lear(8% ) About 12 days of RAOB matched data sets were processed to generate IASI and CrIMSS EDRs Yield shown here are IASI- EDRs. Ret System Yield. We are still implementing CrIMSS QC Flags to generate corresponding statistics. 23
  • IASI & CrIMSS STATS : Sea D+N – STDEV ‘Using IASI-QC and CrIMSS Not Tuned’ IASI- 50 100 00 10 200 Pressur (hPa) re 400 300 600 0 000 000 10 10 0 1 2 3 4 0 20 40 60 STDEV Difference: Left Panel for Temperature, Right Panel for Water Vapor RAOB vs.. IASI-RET IASI-MIT CrIMSS-(IR+MW) CrIMSS (MW) vs.. IASI- IASI- CrIMSS- _______ ______ ----------------------- ------------------ 24
  • IASI & CrIMSS STATS: CLDCLR vs.. “CLR” ‘Using IASI-QC and CrIMSS Not Tuned’ IASI- 50 The fact that CrIMSS is coming closer in ‘CLR’ 100 Cases with IASI suggest that in so-called ‘clear cases’ the algorithm is not dependent on ATMS temperature sounding channels. Also, suggests f p g gg for 00 10 ALL Cases, ATMS may require bias corrections. 200 Pressur (hPa) re 400 300 600 0 000 000 10 10 0 1 2 3 4 0 20 40 60 STDEV Difference: Left Panel for Temperature, Temperature Right Panel for Water Vapor RAOB vs.. IASI-RET(CLR),CrIMSS-(CLR) ,IASI-RET(CLDCLR) ,CrIMSS-RET(CLDCLR) vs.. IASI-RET(CLR),CrIMSS- ,IASI- ,CrIMSS- 25 ____________ ------------------- _____________ , ------------------------
  • Conclusions 1. Proxy Data is Good.  Evaluation of proxy data sets reveals that the proxy data have reached a scale of perfection on ‘where they need to be’ for EDR p y product generation, and evaluation of EDR products with truth measurements. 2. Need bias-tuning for MW (ATMS) component (CrIS as well). bias-  The first MW retrieval is the basis for generating initial cloud-cleared cloud- radiances. We believe that the biases observed with the MW retrievals are propagating into the cloud-cleared radiances and making the IR+MW cloud- retrievals biased with respect to ECMWF and RAOB measurements 3. The IR and MW emissivity Verification  Emissivity t i E i i it retrieval i an i t l is intermediate product i th C IMSS EDR di t d t in the CrIMSS algorithm. However, this is an important product that could characterize AVTP and AVMP products. 4. CrIMSS Meeting the Specs – (Future Directions) » We W expect the CrIMSS EDR algorithm t meet the AVTP and AVMP t th C IMSS l ith to t th d product specifications with the updated version (LaRC 1.5.1.2) • Latest IR and MW emissivity/ LUTs • Improved CrIS Noise characteristics p • Empirical Bias Corrections for the ATMS (and CrIS) – We have the required data sets to perform such analysis. analysis. 26
  • Backup Slides Thank You f Th k Y for your Attention Att ti Suggestions/Questions/Comments/ Data Availability/Queries y Chris.Barnet@noaa.gov Murty.Divakarla@noaa.gov The NOAA NPOESS/IASI/AIRS Team Integrated Observing System Science & Product Development Team (IOSSPDT) NOAA/NESDIS Camp Spring, MD, USA C S i MD Overseen By Mitch Goldberg and Chris Barnet