Evaluation of CrIS/ATMS Proxy Radiances/Retrievals With IASI Retrievals, ECMWF Analysis and RAOB Measurements

Murty DivakarlaMurty Divakarla11, Chris Barnet, Chris Barnet22, Mitch Goldberg, Mitch Goldberg22,,Xu LiuXu Liu33 Bill BlackwellBill Blackwell44 Eric MaddyEric Maddy55 Guang GuoGuang Guo55 Susan KizerSusan Kizer33Xu LiuXu Liu33, Bill Blackwell, Bill Blackwell44, Eric Maddy, Eric Maddy55, Guang Guo, Guang Guo55, Susan Kizer, Susan Kizer33, ,

Tom KingTom King55, Walter Wolf, Walter Wolf22, Antonia Gambacorta, Antonia Gambacorta55, and Kexin Zhang, and Kexin Zhang55

11IM Systems Group Inc., 6309 Executive Blvd, Rockville, MD, 20852 USA.IM Systems Group Inc., 6309 Executive Blvd, Rockville, MD, 20852 USA.IM Systems Group Inc., 6309 Executive Blvd, Rockville, MD, 20852 USA.IM Systems Group Inc., 6309 Executive Blvd, Rockville, MD, 20852 USA.22STAR, NOAA/NESDIS, Camp Springs, MD , 20746 USA.STAR, NOAA/NESDIS, Camp Springs, MD , 20746 USA.

33NASA Langley Research Center, Hampton, VA 23681, USA.NASA Langley Research Center, Hampton, VA 23681, USA.44MIT Lincoln Laboratory, Lexington, MA 02420 USA.MIT Lincoln Laboratory, Lexington, MA 02420 USA.

55PSGS, Fairfax, VA 20706 USA.PSGS, Fairfax, VA 20706 USA.PSGS, Fairfax, VA 20706 USA.PSGS, Fairfax, VA 20706 USA.

Paper Number: GRPaper Number: GR--10 197310 197320102010 IEEE International Geoscience and Remote Sensing SymposiumIEEE International Geoscience and Remote Sensing Symposium20102010 IEEE International Geoscience and Remote Sensing SymposiumIEEE International Geoscience and Remote Sensing Symposium

July 25July 25--30, Honolulu, Hawai30, Honolulu, Hawai

Acknowledgements: Acknowledgements:

1

Kevin Garrett, Tony Reale, Frank TilleyKevin Garrett, Tony Reale, Frank TilleyCamp Springs, MD 20746.Camp Springs, MD 20746.

HyperHyper--Spectral IR Sounders and MW InstrumentsSpectral IR Sounders and MW InstrumentsAIRS/IASI/CrIS and AMSUAIRS/IASI/CrIS and AMSU--A/MHS/ATMSA/MHS/ATMS

1 2 3

4 5 6

AIRS 9FOVs

4 5 6

7 8 9

IASI 4FOVs8461

1 2 3

4 5 6

CrIS 9FOVs

Aqua-AIRS/AMSU-A 1:30 AM/PM Atmospheric Infrared Sounder (AIRS) – 2378 IR ChannelsMetOp-IASI/AMSU-A/MHS 9:30 PM/AM Infrared Atmospheric Sounder Interferometer (IASI) – 8461 IR ChannelsNPP C1 & C3 C IS/ATMS 1 30 AM/PM C t k I f d S d (C IS) 1317 IR Ch l

4 5 6

7 8 9

2

NPP-C1 & C3: CrIS/ATMS 1:30 AM/PM Cross-track Infrared Sounder (CrIS) 1317 IR ChannelsAdvanced 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

CrIS/ATMS SDRs (and EDRs)CrIS/ATMS SDRs (and EDRs)Proxy Proxy vs.vs. SyntheticSyntheticyy yy

y

3

Outline for PresentationOutline for PresentationCrIS/ATMS Proxy SDRs and CrIMSS EDRs CrIS/ATMS Proxy SDRs and CrIMSS EDRs CrIS/ATMS Proxy SDRs and CrIMSS EDRs CrIS/ATMS Proxy SDRs and CrIMSS EDRs

1.1. Product Retrieval Algorithm(s)/Retrieval Products (EDRs)Product Retrieval Algorithm(s)/Retrieval Products (EDRs)»» NGAS CrIS and ATMS EDR Product Algorithm (Science Interface)NGAS CrIS and ATMS EDR Product Algorithm (Science Interface)

–– Crimss_Larc_v1.5, Developed by Xu Liu and KizerCrimss_Larc_v1.5, Developed by Xu Liu and Kizer Implemented at NOAA/STARImplemented at NOAA/STAR

»» NOAANOAA--IASI Operational Retrievals from NOAA/NESDIS/NUCAPSIASI Operational Retrievals from NOAA/NESDIS/NUCAPS

2.2. Data SetsData Sets for CrIS/ATMS Proxy Data Generation and NGASfor CrIS/ATMS Proxy Data Generation and NGAS--CrIMSS EDR Product EvaluationCrIMSS EDR Product Evaluation

»» MetOp Global Data (MGD) Matches of ECMWF/RAOBs/GFSMetOp Global Data (MGD) Matches of ECMWF/RAOBs/GFS»» Focus Day (10/19/2007) Data MetOp IASI/AMSUFocus Day (10/19/2007) Data MetOp IASI/AMSU A/MHSA/MHS»» Focus Day (10/19/2007) Data MetOp IASI/AMSUFocus Day (10/19/2007) Data MetOp IASI/AMSU--A/MHS, A/MHS,

ECMWF, AVNECMWF, AVN

3. Proxy Data Generator Algorithms from LaRC and MIT3. Proxy Data Generator Algorithms from LaRC and MITC IS PC IS P X Li d Ki (L RC)X Li d Ki (L RC)–– CrIS Proxy CrIS Proxy –– Xu Liu and Kizer (LaRC)Xu Liu and Kizer (LaRC)

–– ATMS Proxy ATMS Proxy -- Bill Blackwell (MIT)Bill Blackwell (MIT) Implemented at NOAA/STARImplemented at NOAA/STAR

4

4.4. Evaluation of Proxy Data Sets (CrIS/ATMS) and NGAS EDRsEvaluation of Proxy Data Sets (CrIS/ATMS) and NGAS EDRs–– With Corresponding IASI/AMSUWith Corresponding IASI/AMSU--A/MHS SDRsA/MHS SDRs–– With ECMWF/RAOBs and IASI EDRs.With ECMWF/RAOBs and IASI EDRs.

1. 1. Product Retrieval Algorithms /Retrieval ProductsProduct Retrieval Algorithms /Retrieval ProductsCrIMSS_LaRC_1.5 Version Ported from CrIMSS_LaRC_1.5 Version Ported from

NPPNPP--NGAS IDPS CrIMSS EDR Product AlgorithmNGAS IDPS CrIMSS EDR Product Algorithmgg

Simultaneous RetrievalT(p), q(p), O3(p),TskinSpectral Emissivities

OSS-RTMOSS-RTM

Use of EOFs to Characterize and Measure

Retrieved Parameters

a-priori ConstraintsDerived from a BlendedDerived from a Blended

Training Data Set

5

1. 1. Product Retrieval Algorithms /Retrieval ProductsProduct Retrieval Algorithms /Retrieval ProductsNOAA Retrievals of NOAA Retrievals of

Core Products and Trace Gas ProductsCore Products and Trace Gas ProductsCore Products and Trace Gas ProductsCore Products and Trace Gas Products

A qua-A IR SM etO p-IA S I

9:30 A M /P M

1:30 PM /A M

R etrieval

CrIS/ATMS

R etrieval products

Code

ECM W FN CEPSO N D ESATOVS

The NOAA level 2 retrieval processing system was developed during The NOAA level 2 retrieval processing system was developed during the Aqua mission (AIRS/AMSUthe Aqua mission (AIRS/AMSU--A) A)

Expanded to retrieve MetOp (IASI/AMUSExpanded to retrieve MetOp (IASI/AMUS--A/MHS) T(p), q(p), O3(p) coreA/MHS) T(p), q(p), O3(p) coreExpanded to retrieve MetOp (IASI/AMUSExpanded to retrieve MetOp (IASI/AMUS A/MHS) T(p), q(p), O3(p) core A/MHS) T(p), q(p), O3(p) core products, and trace gas products (CHproducts, and trace gas products (CH44, CO, CO, CO, CO2 2 etc.) etc.)

Emerging as NOAAEmerging as NOAA--Unique CrIS/ATMS Product System (NUCAPS)Unique CrIS/ATMS Product System (NUCAPS) Identical systems one for research and the other for operationsIdentical systems one for research and the other for operations

6

–– Reprocessing Options with Algorithm Upgrades, New DataReprocessing Options with Algorithm Upgrades, New Data–– Emulate Various IASI/ AIRS Retrieval AlgorithmsEmulate Various IASI/ AIRS Retrieval Algorithms

http://www.orbit.nesdis.noaa.gov/smcd/spb/iosspdt/iosspdt.php#1http://www.orbit.nesdis.noaa.gov/smcd/spb/iosspdt/iosspdt.php#1

Data SetsData Sets for CrIS/ATMS Proxy SDR Generationfor CrIS/ATMS Proxy SDR Generationand EDR Evaluationand EDR Evaluation

MetOp-IASI/Aqua-AIRS Match-up Database

Aqua-AIRS: (2002- Current)M tO IASI J 2008 C t)

RAOB Measurements Matched to Aqua (1:30 AM/PM)and MetOp(9:30 AM/PM) Satellite Observations

MetOp-IASI: January 2008 - Current)

and MetOp(9:30 AM/PM) Satellite ObservationsMetOp-IASI/AMSU-A/AMSU-B Level1B RadiancesIASI Level-2 Retrievals Aqua-AIRS/AMSU-A Level1B RadiancesAIRS Level-2 RetrievalsNCEP-GFS (AVN) Level2-Forecast/AnalysisECMWF Level-2 Forecast/AnalysisNOAA-18 ATOVS/M2-ATOVS Level-2 RetrievalsAbility to Get Matched O3SNDs and TO3 (BD Measurements) From WOUDC

Source of RAOB Data : OSDPD MDB NOAA/NESDIS Source of RAOB Data : OSDPD MDB NOAA/NESDIS

Measurements) From WOUDCCollocated Within ±3 Hrs. & 100 Km Radius~ 100,000 Matches for IASI (2008 …)~ 200,000 Matches for AIRS (2002 …)

7

Source of RAOB Data : OSDPD, MDB, NOAA/NESDIS Source of RAOB Data : OSDPD, MDB, NOAA/NESDIS

Many Publications - AIRS Website, NOAA/STAR/ Websitehttp://www.orbit.nesdis.noaa.gov/smcd/spb/iosspdt/iosspdt.php#1http://www.orbit.nesdis.noaa.gov/smcd/spb/iosspdt/iosspdt.php#1

Data sets Proven Valuable for Global ValidationData sets Proven Valuable for Global ValidationAquaAqua--AIRS T(p), q(p) ValidationAIRS T(p), q(p) Validation

8

IASI Retrieval Validation with RAOBs, ECMWF etc. IASI Retrieval Validation with RAOBs, ECMWF etc. Accepted Samples : 11,400 (Sea), 67,434 (Global)Accepted Samples : 11,400 (Sea), 67,434 (Global)p p , ( ), , ( )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)

9

Land22876/41182 CLDCLR (56%)

237/372 CLR (63%)

Sea11400/18811 CLDCLR (60%)

1995/2369 CLR (84%)

Coast33158/61914 CLDCLR (54%)

2874/4068 CLR (70%)

ALL67434/121907 CLDCLR (55%)

5106/6809 CLR (74%)

IASI Statistics IASI Statistics –– RMS RMS -- Global Global -- Sea Sea Yield : 60% , NSAMP: 11,400 Yield : 60% , NSAMP: 11,400

100

5

0

200

(hPa

)

100

4

00

Pres

sure

(

300

6

00

0

RMSRMS Difference: Left Panel for Temperature (K)Difference: Left Panel for Temperature (K) Right Panel for Water Vapor (%)Right Panel for Water Vapor (%)

1000

0 1 2 3 4 0 20 40 60 RMS

1000

10

RMSRMS Difference: Left Panel for Temperature (K),Difference: Left Panel for Temperature (K), Right Panel for Water Vapor (%)Right Panel for Water Vapor (%)RAOB vs.RAOB vs. IASIIASI--RET RET ECMWFECMWF, , NCEPNCEP--GFSGFS, , ATOVSATOVS

______________ ---------------------- ---------------------------- ______ ______

2. 2. Data SetsData Sets for CrIS/ATMS Proxy Data for CrIS/ATMS Proxy Data Generation and EDR Product EvaluationGeneration and EDR Product Evaluation

(b) (b) Focus Day Data SetsFocus Day Data Sets

Consists ofConsists of236 Granules of Matched Datasets for the236 Granules of Matched Datasets for the

(b) (b) Focus Day Data SetsFocus Day Data Sets

236 Granules of Matched Datasets for the 236 Granules of Matched Datasets for the ‘Focus Day’ ‘Focus Day’

»» October 19, 2007 (10/19/2007)October 19, 2007 (10/19/2007)»» Each Granule Contains 22 or 23 Scan Each Granule Contains 22 or 23 Scan

Lines ofLines of–– CrIS/ATMS Proxy SDRsCrIS/ATMS Proxy SDRs–– IASI/AMSUIASI/AMSU--A/MHS SDRsA/MHS SDRs–– CrIMSS EDR productsCrIMSS EDR products–– IASI EDR Products from NOAA IASI IASI EDR Products from NOAA IASI

Operations (NUCAPS)Operations (NUCAPS)–– NCEPNCEP--GFS and ECMWF Analysis GFS and ECMWF Analysis

Fields Fields Two More Focus Days (10/19/2008, Two More Focus Days (10/19/2008,

05/11/2010) of Data is on the Way05/11/2010) of Data is on the Way

Approximate Granule Locations Approximate Granule Locations Size Not to ScaleSize Not to Scale

05/11/2010) of Data is on the Way05/11/2010) of Data is on the Way

IASIIASI––toto--CrISCrIS

12IASI-to-CrIS: Proxy Data Algorithm(Xu Liu and Kizer, SOAT Meeting, 2009)

Proxy Data Verification Proxy Data Verification –– IASIIASI--> CrIS > CrIS

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 Fi ld f R d (FOR) d h di G i di d Th C IS i h l f 1315 IR h l i 3 b d i

13

Field of Regard (FOR) and the radiances are Gaussian apodized. The CrIS instrument has a total of 1315 IR channels in 3 bands coveringlongwave (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 construction (http://www.star.nesdis.noaa.gov/smcd/spb/iosspdt/iosspdt.php).

IASIIASI––toto--CrIS CrIS Xu Liu’s Proxy Data AlgorithmResults for the Focus Day, 10/19/2007

962.5 cm-1 1232 cm-1

IASI IASI

CrIS CrISCrIS

DIF MAP

DIF MAP

14Similar figures for many other frequencies over the CrIS spectrum are available

AMSU/MHS To ATMS Proxy DataAMSU/MHS To ATMS Proxy Data/ y/ y

MHS

15AMSU-A/MHS -> ATMS Proxy Algorithm(Blackwell, SOAT Meeting, 2009)

AMSUAMSU--A/MHS to ATMS A/MHS to ATMS Results for the Focus Day, 10/19/2007

23GHz and 52.48 GHz23GHz and 52.48 GHz23 GHz 52.48 GHz

AM

SU C

H 5

AM

SU C

H 1

AH

6

AH

1

ATM

S C

H

ATM

S C

H

F M

AP

F M

AP

16

DIF

DIF

Similar figures for all the AMSU-A/MHS and ATMS channels are available

AMSU vs. ATMS Proxy Data Stats for AMSU vs. ATMS Proxy Data Stats for “The Focus Day”, 10/19/2007“The Focus Day”, 10/19/2007y / /y / /

QV vs.QH

17

Microwave Integrated Resource System (MIRS)Microwave Integrated Resource System (MIRS)Retrieval QC Retrieval QC –– ATMS Proxy vs. Real Observations ATMS Proxy vs. Real Observations

18

NOTE: MIRS Retrievals perform empirical bias-tuning to proxy-ATMS using ECMWF before using them to generate MIRS-NPP-ATMS Proxy Retrievals. Thanks to : Kevin Garrett, NOAA/STAR

CrIMSS Retrieval Comparisons with CrIMSS Retrieval Comparisons with IASI Retrievals and ECMWF IASI Retrievals and ECMWF

(1)(1)In performing these comparisons In performing these comparisons We haven’t still We haven’t still ( )( ) p g pp g panalyzed the Quality Flags for the CrIMSS analyzed the Quality Flags for the CrIMSS Retrievals.Retrievals.•• IASI QC flag was used to pick the correspondingIASI QC flag was used to pick the corresponding•• IASI QC flag was used to pick the corresponding IASI QC flag was used to pick the corresponding

CrIMSS retrieval.CrIMSS retrieval.•• This could be slightly ‘unThis could be slightly ‘un--fair’ for CrIMSS EDR product fair’ for CrIMSS EDR product

i th th t fil t d b th IASI ti th th t fil t d b th IASI tin the sense that a profile accepted by the IASI system in the sense that a profile accepted by the IASI system might have got rejected by the CrIMSS EDR QC. might have got rejected by the CrIMSS EDR QC. Nevertheless, this analysis provides some inNevertheless, this analysis provides some in--sight into sight into CrIMSS retrievalsCrIMSS retrievalsCrIMSS retrievals.CrIMSS retrievals.

(2)(2)The CrIMSS Algorithm may require ‘empirical bias The CrIMSS Algorithm may require ‘empirical bias corrections’. corrections’. We haven’t yet done that.We haven’t yet done that.

19

CrIMSS Retrieval Comparisons with CrIMSS Retrieval Comparisons with IASI Retrievals and ECMWF (IASI Retrievals and ECMWF (STDEV)STDEV)(Granule 139, SH_TR, Sea) (Granule 139, SH_TR, Sea)

‘Using IASI‘Using IASI--QC and CrIMSS Not Tuned’QC and CrIMSS Not Tuned’

00

50

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Pa)

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Left Panel for Temperature,Left Panel for Temperature, Right Panel for Water VaporRight Panel for Water Vapor STDEV :ECMWF vs.. STDEV :ECMWF vs.. IASI (IR + MW)IASI (IR + MW) (Solid Red)(Solid Red)

10 10

0 1 2 3 4 0 20 40 60

20

( )( ) ( )( ) SDDEV : ECMWF vs.. SDDEV : ECMWF vs.. CrIMSS (IR+ MW)CrIMSS (IR+ MW) (Dotted Red)(Dotted Red) STDEV : ECMWF vs.. IASI (MW) STDEV : ECMWF vs.. IASI (MW) (Solid Green)(Solid Green) STDEV : ECMWF vs.. CrIMSS (MW)STDEV : ECMWF vs.. CrIMSS (MW) (Dotted Green(Dotted Green

N: 588/660 %Accepted (CLDCLR) : 89%, % “CLEAR”:27N: 588/660 %Accepted (CLDCLR) : 89%, % “CLEAR”:27% (IASI Minimum CLD % (IASI Minimum CLD Amount)Amount)

CrIMSS Retrieval Comparisons with CrIMSS Retrieval Comparisons with IASI Retrievals and ECMWF IASI Retrievals and ECMWF (STDEV) (STDEV) Granule 238, (Land + Sea) Granule 238, (Land + Sea)

‘Using IASI‘Using IASI--QC and CrIMSS Not Tuned’QC and CrIMSS Not Tuned’

00

50

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Pa)

1 0

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Left Panel for Temperature,Left Panel for Temperature, Right Panel for Water VaporRight Panel for Water Vapor STDEV :ECMWF vs.. STDEV :ECMWF vs.. IASI (IR + MW)IASI (IR + MW) (Solid Red)(Solid Red)

Land/Sea Interface MW – Troubling MW Retrievals ?10 10

0 1 2 3 4 0 20 40 60

21

( )( ) ( )( ) SDDEV : ECMWF vs.. SDDEV : ECMWF vs.. CrIMSS (IR+ MW)CrIMSS (IR+ MW) (Dotted Red)(Dotted Red) STDEV : ECMWF vs.. IASI (MW) STDEV : ECMWF vs.. IASI (MW) (Solid Green)(Solid Green) STDEV : ECMWF vs.. CrIMSS (MW)STDEV : ECMWF vs.. CrIMSS (MW) (Dotted Green)(Dotted Green)

N: 648/690 %Accepted (CLDCLR) : 93%, %”CLEAR”: 23% N: 648/690 %Accepted (CLDCLR) : 93%, %”CLEAR”: 23% (IASI MinimumCLD (IASI MinimumCLD Amount)Amount)

Synergetic Use of MIRS Retrievals with CrIMSS (MW)Synergetic Use of MIRS Retrievals with CrIMSS (MW)EDRs Could Improve/Resolve some Issues.EDRs Could Improve/Resolve some Issues.MIRS Retrievals Surrounding Granule 238MIRS Retrievals Surrounding Granule 238MIRS Retrievals Surrounding Granule 238MIRS Retrievals Surrounding Granule 238

ATMS Proxy Data – MIRS Retrieval

MetOP-AMSU/MHS Obs. MIRS RetrievalMetOP AMSU/MHS Obs. MIRS Retrieval

Proxy ATMS Ret. k

22

Takes More Iterations at L/SBoundary

IASI/CrIMSS Retrievals IASI/CrIMSS Retrievals -- RAOB/ECMWF LocationsRAOB/ECMWF Locations((I have STATS for TROP/MidI have STATS for TROP/Mid--LAT/POLAR and for land/sea/all, etc..)LAT/POLAR and for land/sea/all, etc..)

‘Using IASI‘Using IASI--QC and CrIMSS Not Tuned’QC and CrIMSS Not Tuned’

Land Sea Coast ALL

Yield with Every Match of RAOB (RS-90,RS-80, etc.) and ALL INST. Types

Land832/1355 = 61%7/31 Clear (0 % )

Sea364/618=59%

71/99 Clear (20% )

Coast1051/1982=53%

104/138 Clear(9% )

ALL2247/3955=57%

182/317 Clear(8% )

About 12 days of RAOB matched data sets were processed to generate IASI and CrIMSS EDRs Yield shown here are IASI-

23

generate IASI and CrIMSS EDRs. Yield shown here are IASI-Ret System Yield. We are still implementing CrIMSS QC Flags to generate corresponding statistics.

IASI & CrIMSS STATS : Sea D+N IASI & CrIMSS STATS : Sea D+N –– STDEVSTDEV‘Using IASI‘Using IASI--QC and CrIMSS Not Tuned’QC and CrIMSS Not Tuned’

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STDEV Difference: Left Panel for Temperature,STDEV Difference: Left Panel for Temperature, Right Panel for Water VaporRight Panel for Water Vapor

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24

STDEV Difference: Left Panel for Temperature,STDEV Difference: Left Panel for Temperature, Right Panel for Water VaporRight Panel for Water VaporRAOB vs.RAOB vs.. IASI. IASI--RET RET IASIIASI--MITMIT CrIMSSCrIMSS--(IR+MW) (IR+MW) CrIMSS (MW)CrIMSS (MW)

_______ _______ ______ ______ ---------------------------------------------- ------------------------------------

IASI & CrIMSS STATS: CLDCLR vs.. “CLR”IASI & CrIMSS STATS: CLDCLR vs.. “CLR”‘Using IASI‘Using IASI--QC and CrIMSS Not Tuned’QC and CrIMSS Not Tuned’

00

50

10

0

The fact that CrIMSS is coming closer in ‘CLR’Cases with IASI suggest that in so-called ‘clear cases’ the algorithm is not dependent on ATMS temperature sounding channels. Also, suggests for

re (h

Pa)

1 0

20

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p g gg fALL Cases, ATMS may require bias corrections.

Pres

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STDEV Difference: Left Panel for TemperatureSTDEV Difference: Left Panel for Temperature Right Panel for Water VaporRight Panel for Water Vapor

10 10

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25

STDEV Difference: Left Panel for Temperature,STDEV Difference: Left Panel for Temperature, Right Panel for Water Vapor Right Panel for Water Vapor RAOB vs.RAOB vs.. . IASIIASI--RET(CLR),CrIMSSRET(CLR),CrIMSS--(CLR) (CLR) ,IASI,IASI--RET(CLDCLR) ,CrIMSSRET(CLDCLR) ,CrIMSS--RET(CLDCLR)RET(CLDCLR)

____________ ____________ -------------------------------------- _____________ , _____________ , ------------------------------------------------

ConclusionsConclusions

1.1. Proxy Data is Good.Proxy Data is Good. Evaluation of proxy data sets reveals that the proxy data have Evaluation of proxy data sets reveals that the proxy data have

reached a scale of perfection on ‘where they need to be’ for EDR reached a scale of perfection on ‘where they need to be’ for EDR p yp yproduct generation, and evaluation of EDR products with truth product generation, and evaluation of EDR products with truth measurements.measurements.

2.2. Need biasNeed bias--tuning for MW (ATMS) component (CrIS as well). tuning for MW (ATMS) component (CrIS as well). The first MW retrieval is the basis for generating initial cloudThe first MW retrieval is the basis for generating initial cloud--clearedclearedThe first MW retrieval is the basis for generating initial cloudThe first MW retrieval is the basis for generating initial cloud cleared cleared

radiances. We believe that the biases observed with the MW retrievals radiances. We believe that the biases observed with the MW retrievals are propagating into the cloudare propagating into the cloud--cleared radiances and making the IR+MW cleared radiances and making the IR+MW retrievals biased with respect to ECMWF and RAOB measurementsretrievals biased with respect to ECMWF and RAOB measurements

3.3. The IR and MW emissivity VerificationThe IR and MW emissivity VerificationE i i it t i l i i t di t d t i th C IMSS EDRE i i it t i l i i t di t d t i th C IMSS EDR Emissivity retrieval is an intermediate product in the CrIMSS EDR Emissivity retrieval is an intermediate product in the CrIMSS EDR algorithm. However, this is an important product that could characterize algorithm. However, this is an important product that could characterize AVTP and AVMP products.AVTP and AVMP products.

4.4. CrIMSS Meeting the Specs CrIMSS Meeting the Specs –– (Future Directions) (Future Directions) W t th C IMSS EDR l ith t t th AVTP d AVMPW t th C IMSS EDR l ith t t th AVTP d AVMP»» We expect the CrIMSS EDR algorithm to meet the AVTP and AVMP We expect the CrIMSS EDR algorithm to meet the AVTP and AVMP product specifications with the updated version (LaRC 1.5.1.2)product specifications with the updated version (LaRC 1.5.1.2)•• Latest IR and MW emissivity/ LUTsLatest IR and MW emissivity/ LUTs•• Improved CrIS Noise characteristics Improved CrIS Noise characteristics

26

pp•• Empirical Bias Corrections for the ATMS (and CrIS)Empirical Bias Corrections for the ATMS (and CrIS)

–– We have the required data sets to perform such analysisWe have the required data sets to perform such analysis..

Backup SlidesBackup Slides

Th kTh k Y f Att tiY f Att tiThank Thank You for your AttentionYou for your AttentionSuggestions/Questions/Comments/Suggestions/Questions/Comments/

Data Availability/QueriesData Availability/QueriesyyChris.Barnet@noaa.govChris.Barnet@noaa.gov

Murty.Divakarla@noaa.govMurty.Divakarla@noaa.gov

The NOAA The NOAA NPOESS/IASI/AIRS TeamNPOESS/IASI/AIRS TeamIntegrated Observing System Science & Product Development Team (IOSSPDT)Integrated Observing System Science & Product Development Team (IOSSPDT)

NOAA/NESDIS C S i MD USANOAA/NESDIS C S i MD USANOAA/NESDIS Camp Spring, MD, USANOAA/NESDIS Camp Spring, MD, USAOverseen ByOverseen By

Mitch Goldberg and Chris Mitch Goldberg and Chris BarnetBarnet