cross%trackinfrared*sounder*( cris):* radiometric*calibra ......cris: 2011- cris: full resolution 4...
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Cross-‐track Infrared Sounder (CrIS): Radiometric Calibra:on and Valida:on
David Tobin, Hank Revercomb, Joe Taylor, Robert Knuteson, Greg Quinn, Dan DeSlover, Lori Borg, Graeme Mar:n, Aronne Merrilli, Tom Greenwald
AMS
7 Jan 2014
Outline • Suomi-‐NPP CrIS
– Radiometric Calibra5on Uncertainty – Satellite Intercalibra5on results – Aircra; Underflights – Calibra5on algorithm/parameter inves5ga5ons
• Recent JPSS-‐1 CrIS TVAC results
Ø Overall emphasis on – Consistency among FOVs, spectral regions, signal levels – Absolute accuracy, reproducibility, traceability
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Acknowledgements:
NOAA CrIS SDR Project/Team – Yong Han, Denis Tremblay NOAA JPSS CalVal/RR Project – Mitch Goldberg
NASA JPSS Flight Project – Jim Gleason, David Johnson NASA Satellite Calibra5on Interconsistency Studies – Lucia Tsaoussi
Exelis – Lawrence Suwinski, Steve Wells, et al. Atmosphere PEATE at UW – Liam Gumley et al.
AIRS Atmospheric InfraRed Sounder Grating spectrometer 166 kg, 256 W 13.5 km FOV at nadir, contiguous Launched on NASA Aqua in 2002
IASI Infrared Atmospheric Sounding Interferometer
Michelson interferometer 236 kg, 210 W
2x2 12 km FOVs at nadir, non-contiguous Launched on Metop-A in 2006
CrIS Cross-track Infrared Sounder Michelson interferometer 146 kg, 110 W 3x3 14 km FOVs at nadir, contiguous Launched on Suomi NPP, 28 Oct 2011
Full scale model at 2010 IASI meeting
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600 800 1000 1200 1400 1600 1800 2000 2200 2400 2600 2800
AIRS: 2002-
IASI: 2006-
Spectral Coverage and Resolution Comparison
CrIS: 2011-
CrIS: Full Resolution 4 Dec 2014 -
±0.8 cm OPD unapodized 9 FOV/50 km square
±0.8, 0.4, 0.2 cm OPD unapodized 9 FOV/50km square
L1C:±2 cm OPD Gausian apodized 4 FOV/50km square
L1B: > 1200 Resolving Power 9 FOV/50km square
5
wavenumber
Suomi-‐NPP CrIS Radiometric Uncertainty Es:mate
Simplified On-‐Orbit Radiometric Calibra:on Equa:on:
REarth = Re {(C’Earth – C’Space) /(C’ICT-‐C’Space)} RICT with:
Nonlinearity Correc5on: C’ = C � (1 + 2 a2 VDC) ICT Predicted Radiance: RICT = εICT B(TICT) + (1-‐εICT) [ 0.5 B(TICT, Refl, Measured) + 0.5 B(TICT, Refl, Modeled)]
Parameter Uncertain:es: Parameter Nominal Values 3-‐σ Uncertainty
TICT 280K 112.5 mK
εICT 0.974-‐0.996 0.03
TICT, Refl, Measured 280K 1.5 K
TICT, Refl, Modeled 280K 3 K
a2 LW band 0.01 – 0.03 V-‐1 0.00403 V-‐1
a2 MW band 0.001 – 0.12 V-‐1 0.00128 – 0.00168 V-‐1
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(Differen5al error analysis of the calibra5on equa5on, aimed at providing a useful es5mate of the absolute accuracy of the mean of a large ensemble of observa5ons. Input parameter uncertain5es are based on the design of the sensor and engineering es5mates of the calibra5on parameters; i.e. no external informa5on via external “Cal/Val” used.)
200
220
240
260
280
300
BT (K
)
700 800 900 1000
−0.2
−0.1
0
0.1
0.2
0.3
wavenumber
3−si
gma
RU
(K)
200 220 240 260 280 3000
0.1
0.2
0.3
BT (K)
3−si
gma
RU
(K)
wavenumber700 800 900 1000
1200 1300 1400 1500 1600 1700wavenumber
200 220 240 260 280 300BT (K)
wavenumber1300 1400 1500 1600 1700
2200 2300 2400 2500wavenumber
200 220 240 260 280 300BT (K)
wavenumber2200 2300 2400 2500
Example 3-sigma RU estimates
For a typical warm, ~clear sky spectrum
200
220
240
260
280
300
BT (K
)
700 800 900 1000
−0.2
−0.1
0
0.1
0.2
0.3
wavenumber
3−si
gma
RU
(K)
200 220 240 260 280 3000
0.1
0.2
0.3
BT (K)
3−si
gma
RU
(K)
wavenumber700 800 900 1000
1200 1300 1400 1500 1600 1700wavenumber
200 220 240 260 280 300BT (K)
wavenumber1300 1400 1500 1600 1700
2200 2300 2400 2500wavenumber
200 220 240 260 280 300BT (K)
wavenumber2200 2300 2400 2500
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500 1000 1500 2000 25000
0.05
0.1
0.15
0.2
wavenumber (cm−1)
3m B
T R
U (K
)
TICT¡ICTTICT,Refl,MeasTICT,Refl,ModelTST¡STTST,Refla2Total RU
500 1000 1500 2000 25000
0.05
0.1
0.15
0.2
wavenumber (cm−1)
3m B
T R
U (K
)
TICT¡ICTTICT,Refl,MeasTICT,Refl,ModelTST¡STTST,Refla2Total RU
BT (K)
3−si
gma
RU
(K)
200 250 3000
0.1
0.2
0.3
0.4
0.5
BT (K)
200 250 300
log(count)0 5 10
BT (K)200 250 300
Example 3-sigma RU estimates
LW MW SW
Log scale RU distributions for one orbit of CrIS Earth view data, including all FOVs and spectral channels within the band:
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Ø Uncertain5es are greatly reduced due to re-‐analysis of the TVAC data and on-‐orbit FOV-‐2-‐FOV analysis. In par5cular, MW band uncertain5es are greatly reduced due to the high degree of linearity of MW reference FOV9.
Ø Overall, RU is <0.3K (LW), <0.15K (MW), <0.15K (SW): Beser than spec by approximately a factor of 4.
Inter-‐comparison studies; AIRS/IASI/CrIS Simultaneous Nadir Overpasses
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Trends (mK/Decade):
-‐8 ± 5
42 ± 13
10 ± 7
SNO differences versus scene BT
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• ~50 mK agreement at 280K • At the cold end, mean differences range from 0.1 to 0.3K
BT (K)190200210220230240250260270280290
BT D
iff (K
)
-0.1
0
0.1
0.2
0.3
0.4
0.5AIRS - IASI-AAIRS - IASI-BCrIS - IASI-ACrIS - IASI-B
Mean SNO differences for 910-‐930 cm-‐1. Error-‐bars represent sta5s5cal SNO matchup uncertainty, not sensors RU.
May 15 Underflight example: S-‐HIS and CrIS 895–900 cm-‐1 BTs overlaid on VIIRS true color image
May 2013 Suomi-‐NPP JPSS Aircrab Campaign Scanning-‐HIS evalua:ons of CrIS Calibra:on
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BT [K]
BT [K]
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NIST TXR Valida5on of S-‐HIS Radiances • Pre-‐integra5on calibra5on of on-‐board blackbody references at subsystem level
• Pre and post deployment end-‐to-‐end calibra5on verifica5on
• Instrument calibra5on during flight using two on-‐board calibra5on blackbodies
• Periodic end-‐to-‐end radiance evalua5ons under flight like condi5ons with NIST transfer sensors.
Post Mission End-‐to-‐End Calibra5on Verifica5on
Scanning-‐HIS Calibra:on, Calibra:on Verifica:on, and Traceability
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Calibra:on Verifica:on Results: Double Obs Minus Calc (DOMC) Methodology, on CrIS spectral scale and resolu:on with Hamming apodiza:on
CrIS LW CrIS MW CrIS SW
CrIS/S-‐HIS Underflight Results
Mean DOMC ± uncertainty CrIS RU
March 2015 Suomi-‐NPP JPSS Aircrab Campaign
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−80 −70 −60 −50 −40 −30 −20 −10 0
60
65
70
75
80
85NPP nadir tracks, 07−Mar−2015
04:26
04:27
04:28
04:29
04:30
06:06
06:07
06:08
06:09
06:10
06:11
06:12
07:47
07:48
07:49
07:50
07:51
07:52
07:53
09:2911:06
12:43
12:44
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12:47
12:48
14:23
14:24
14:25
14:26
14:27
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14:29
16:04
16:05
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16:07
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16:09
17:46
−80 −70 −60 −50 −40 −30 −20 −10 0
60
65
70
75
80
85METOP−A nadir tracks, 07−Mar−2015
00:51
00:52
00:53
00:54
00:55
11:15
11:16
11:17
12:53
12:54
12:55
12:56
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14:33
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16:15
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17:56
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21:09
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−80 −70 −60 −50 −40 −30 −20 −10 0
60
65
70
75
80
85METOP−B nadir tracks, 07−Mar−2015
00:00
00:00
00:01
00:02
00:03
01:39
01:40
12:01
12:02
12:03
12:04
12:05
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15:21
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21:57
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22:00
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23:43
−80 −70 −60 −50 −40 −30 −20 −10 0
60
65
70
75
80
85Aqua nadir tracks, 07−Mar−2015
03:14
03:15
03:16
04:49
04:50
04:51
04:52
04:53
04:54
04:55
06:27
06:28
06:29
06:30
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08:06
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08:10
09:45 11:20
12:54
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17:49
17:50
• S-‐HIS, NAST-‐I, NAST-‐M, and MASTER on the NASA ER-‐2
• Opera:ons out of Keflavik, Iceland with satellite underflights over Greenland
• Coordina:on with the Summit Camp ground site
Objec:ves: 1. Cold scene calibra:on evalua:on 2. Cold scene sounding performance
evalua:on
On-going Suomi-NPP CrIS calibration algorithm/parameter investigations
• Scene mirror induced polariza5on • Possible low level SW band Nonlinearity • Spectral Ringing ar5facts in unapodized spectra
• FIR filter induced ar5facts • “True” Ringing
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0 10 20 30 40 50 60 70 80 90−0.1
−0.05
0
0.05
0.1
CrIS cross track scan index
VIIR
S −
CrIS
(K)
200−210 K210−220 K220−230 K230−240 K240−250 K250−260 K260−270 K270−280 K280−290 K290−300 K300−310 K310−320 K320−330 K
Error from Scene Mirror Induced Polariza:on • CrIS uses a 45° gold scene mirror that provides low sensi5vity to polariza5on; no
correc5on is included in the SDR algorithm/processing. • However, it seems almost certain that CrIS should have polariza5on effects of ~0.1 K for
especially warm and cold brightness temperatures in some spectral regions. • A correc5on should be developed based on CrIS characteriza5on tests yet to be
conducted (measurements of scene mirror degree of polariza5on, pr, and interferometer polariza5on sensi5vity, pt)
• Radiance error dependence ~2prpt (N – BICT) • Sugges5ons of this type of behavior in CrIS/VIIRS comparisons vs. scan angle:
17 * Biases removed for mean of INDICES 1-‐10 & 80-‐90
Scan Angle and Scene BT dependence of VIIRS/CrIS Comparisons at 10.8µm*
18
200
250
300
BT (K
)
200
250
300
BT (K
)
2150 2200 2250 2300 2350 2400 2450 2500 25500
0.05
0.1
wavenumber
BT (K
)
SW Band Biases • FOV-‐2-‐FOV analyses and differences with
respect to other sensors suggest small ar5facts in the SW band, both in Mean biases and FOV-‐2-‐FOV differences. E.g. Differences with respect to IASI
• Mechanisms inves5gated to date: – Spectral shi; – Thermal SP view contamina5on – Solar SP view contamina5on – Noise – Polariza5on Ø Low level Nonlinearity
• Displays FOV dependent behavior • Has plausible spectral and scene level
dependencies
0.20
0.20.40.60.8
FOV 1
−0.20
0.20.40.60.8
FOV 2
−0.20
0.20.40.60.8
FOV 3
0.20
0.20.40.60.8
FOV 4
−0.20
0.20.40.60.8
FOV 5
−0.20
0.20.40.60.8
FOV 6
22002300240025000.2
00.20.40.60.8
FOV 7
2200230024002500−0.2
00.20.40.60.8
FOV 8
2200230024002500−0.2
00.20.40.60.8
FOV 9
CrIS-‐IA
SI (K
) CrIS-‐IA
SI (K
) CrIS-‐IA
SI (K
)
wavenumber wavenumber wavenumber
Mean for all FOVs Difference for this FOV
Sample spectra (top) and Effect of small NLC (bosom)
Fore op:cs IFM
On-‐orbit CrIS Signal Processing: CrIS uses FIR filtering and decima:on of the original highly sampled interferogram
to select the spectral region of interest and decrease downlink volume
ab op:cs &
filters
Detector Earth Scene LPF
preamp A/D FIR BPF
Decimate
Decimated Interferogram
Truncate
Responsivity FIR filter
Band edges
FIR filter in Time and Spectral domains
Ø Non-‐cyclical :me-‐domain applica:on of the FIR filter violates the Convolu:on Theorem 19
Interferometer Sweep Direc:on Differences
645 650 655 660 665 670 675 680−1
−0.5
0
0.5
1
wavenumber
BT D
iff (K
)
old processing
FOV 5Side FOVsCorner FOVs
645 650 655 660 665 670 675 680−1
−0.5
0
0.5
1
wavenumberBT
Diff
(K)
new processing
FOV 5Side FOVsCorner FOVs
20
Current processing New prototype processing
Interferometer Sweep Direc:on Differences
ß Cross track à ß Cross track à ß Cross track à
ß Along track à
BT (K) BT Diff (K) BT Diff (K)
LW window BT Current processing New prototype processing
Difference between even and odd index spectral channels within 648-‐660 cm-‐1
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JPSS-‐1 CrIS Thermal Vacuum Test Results
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0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.80
0.5
−5
0
5
FOV 1FOV 2FOV 3FOV 4FOV 5FOV 6FOV 7FOV 8FOV 9
0 0.2 0.4 0.6 0.8 10
0.5
1
ECT@200K
ECT@233K
ECT@260K
ECT@287K
ECT@299K
ECT@310K JPSS-‐1 CRIS Brightness Temperature Residuals before Non-‐linearity Analysis
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ECT@200K
ECT@233K
ECT@260K
ECT@287K
ECT@299K
ECT@310K JPSS-‐1 CRIS Brightness Temperature Residuals aber Non-‐linearity Analysis
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1 2 3 4 5 6 7 8 90
0.01
0.02
0.03
0.04
a2 (V
−1)
FOV #
Longwave
S−NPPJPSS−1
1 2 3 4 5 6 7 8 90
0.02
0.04
0.06
0.08
0.1
a2 (V
−1)
FOV #
Midwave
S−NPPJPSS−1
Comparison of S-‐NPP and JPSS-‐1 Radiometric Nonlinearity coefficients
JPSS-‐1 CrIS TVAC Gas Cell Transmission spectra All FOVs (center, sides, corners), before Self-‐Apodiza:on correc:ons
CO2
NH3
CH4
CO
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JPSS-‐1 CrIS TVAC Gas Cell Transmission spectra All FOVs (center, sides, corners), aber Self-‐Apodiza:on correc:ons
CO2
NH3
CH4
CO
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The End
Thank you