S-NPP CrIS Sensor Data Record (SDR): Validated Maturity Level … · S-NPP CrIS Sensor Data Record...
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S-NPP CrIS Sensor Data Record (SDR): Validated Maturity Level Product
Yong Han, Denis Tremblay, Degui Gu, Dan Mooney, Hank Revercomb, Deron Scott, Larrabee Strow
AMS Annual Meeting February 2-6, 2014 Atlanta, GA (4:15 Room C111, 2/04/14)
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Outline
• CrIS SDR Science Team and Cal/Val process
• CrIS measurement and data processing
• CrIS SDR product
• CrIS SDR uncertainties
• CrIS SDR product documentation
• Summary
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JPSS CrIS SDR Science Team member & Cal/Val Process
• Early Orbit Checkout (EOC), 18 January – 23 February 2012
• Intensive Calibration and Validation (ICV), 23 February 2012 – 20 December 2013
• Long-term Monitoring (LTM), remaining NPP mission
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Organization PI
NOAA Center for Satellite Applications & Research (NOAA/STAR) Yong Han
University of Wisconsin (UW) Hank Revercomb
University of Maryland Baltimore County (UMBC) Larrabee Strow
Space Dynamics Laboratory/Utah State University (SDL) Deron Scott
Massachusetts Institute of Technology/Lincoln Labs (MIT/LL) Dan Mooney
Northrop Grumman Aerospace Systems Degui Gu
Exelis-ITT Mike Cromp
NASA Dave Johnson
Raytheon Wael Ibrahim
CrIS SDR calibration and validation (Cal/Val) team members (Subject Matter Experts):
CrIS SDR Validation phases:
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CrIS SDR Product Maturity Status Timeline
• First operational SDR product, April 2, 2012
• Beta maturity status, review meeting on April 4, 2012
• Provisional maturity status, review meeting on October 23, 2012
• Validated maturity status, review meeting on December 18, 2013
The next calibration algorithm/coefficient updates scheduled on Feb. 20, 2014
– Updates of instrument line shape and detector nonlinearity correction algorithms and corresponding coefficients
– Up to 0.1 K radiance impact
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CrIS System
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Pre-
Process
IGM to
Spectrum
FFT
FCE
Handling
Nonlinearity
Correction
Radiometric
Calibration
Post
Calibration
BPF
Spectral
Resample
ILS
Correction
Geo-
location
CMO Operation
SDR
Science RDR
CrIS instrument provides interferograms & calibration data
Interferogram
Ground SDR Software
LW band
MW band
SW band
NPP
CrIS
Rad
ian
ce S
pe
ctra
SDR Product
SDR
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CrIS FOV, FOR and Scan
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Ascending Descending
V
(A)North
A
B A - ascending
Nadir FOV footprints
FOR FOV
• Each scan has 30 Earth view Field of Regards (FORs) • Each FOR has 9 Field of Views (FOVs)
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CrIS Spectral Parameters
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Simulated CrIS (unapodized), IASI and AIRS spectra
Band Spectral Range
(cm-1)
Normal Mode Full Resolution Mode*
Resolution (cm-1)
MPD (cm) Resolution
(cm-1) MPD (cm)
LW 650-1095 0.625 0.8 0.625 0.8
MW 1210-1750 1.25 0.4 0.625 0.8
SW 2155-2550 2.5 0.2 0.625 0.8
* NOAA intends to operate CrIS in full spectral resolution (FSR) mode in near future
IASI
AIRS – 40 K
CrIS_FSR – 80 K
CrIS_Norm – 120 K
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CrIS SDR Product (1/2)
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LW band
MW band SW band
Radiance spectra
16 Data quality indicators (DQIs - integer or floating variables)
Imaginary radiance spectra
NEdN spectra
Examples of DQI:
LW band
MW band SW band
Details in CrIS SDR User’s Guide
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CrIS SDR Product (2/2)
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18 Data quality flags (DQFs - 1 or 2 bits)
Overall SDR DQF (2-bit summary flag) DQFs
- Invalid radiometric calibration - Invalid spectral calibration - Bit trim mask failed - Invalid Geolocation - Invalid RDR - Imaginary radiance flag
DQIs
- DS Window Size - ICT Window Size - Earth Scene Spectrum
Relations of SDR Overall Quality Flag with DQIs and DQFs
Details in CrIS SDR User’s Guide
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CrIS SDR/RDR Monitoring System
10 10
Real radiance Near zero Imaginary radiance indicates good real radiance
Overall SDR quality flag Blue - good
0.0K 0.4 -0.4
Over 120 SDR as well as Raw Data Record (RDR) parameters are monitored with the Web-based monitoring system open to Public
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CrIS Data Quality
• No ice contamination on detector so far
• No significant South Atlantic Anomaly (SAA) impact
• No Fringe Count Error (FCE)
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LW 99.9817%
MW 99.9817%
SW 99.9816%
Long Wave
Mid Wave
Short Wave
Daily Percentage of Invalid interferogram measurements Daily occurrence of Good SDR
spectra from 2013-07-11 to 2013-11-24
Mainly due to sun-glint saturation
Han et al. 2013, JGR
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CrIS Noise (NEdN)
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The noise levels substantially better than specification
Stable NEdN Jan 2012 to Jan 2014
Zavyalov et al. 2013, JGR
Rad
ian
ce (
mW
/m2 s
r cm
-1)
Rad
ian
ce (
mW
/m2 s
r cm
-1)
Specification
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Spectral Calibration Accuracy
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Radiance error caused by 3 ppm frequency error
1000 2000 1500 2500 Wavenumber (cm-1)
Spectral calibration accuracy (all FOVs & all bands):
< 3 ppm
BT
(K)
Frequency calibration error
Strow et al. 2013, JGR
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Radiometric Uncertainty (RU)
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BT
un
cert
ain
ty
Uncertainty specification @287K blackbody
1.7 K
0.39 K
Distribution of 3-sigma RU for one orbit of data
RU
un
cert
ain
ty (
K)
3-s
igm
a R
U (
K)
3-sigma specification
1-sigma specification
RU better than spec by approximately a factor 4
Tobin et al. 2013, JGR
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FOV-2-FOV Radiometric Performance Difference
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1-year LW (672-682 cm-1) BT difference with respect to FOV5
FOV to FOV radiometric differences are well below 0.1 K
Tobin et al. (UW)
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Clear-sky Observation-Calculation Analysis
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Behavior of mean biases and standard deviation of obs-calcs are consistent with forward model and atmospheric state uncertainties, implying very good radiometric performance for CrIS
Example of obs-calc bias and std
Chen et al. (NOAA/STAR)
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CrIS/IASI Simultaneous Nadir Overpass (SNO)
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Metop-A Metop-B
Old a2 Old a2
CrIS IASI CrIS IASI
CrIS-IASI CrIS-IASI
Wang et al. (NOAA/STAR)
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Geolocation Accuracy Assessed with VIIRS
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Since Provisional Review Meeting
VIIRS geolocation side A to side B switch
All FOVs From FOR 14 to 15
Pixel geolocation accuracy:
< 1.3 km (Zenith angle < 30o)
Due to VIIRS “bowtie deletion”, this method does not apply to pixels with zenith angle larger than 30o
VIIRS I5 band data (350m spatial resolution) are used to assess CrIS geolocation accuracy
Nadir geolocation accuracy time series
0.354 ±0.047 km cross-track direction 0.209 ± 0.082 km in-track direction
Wang et al. 2013, JGR
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Summary of CrIS SDR Uncertainty
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Band
NEdN @287K BB
mW/m2/sr/cm-
1
Radiometric Uncertainty
@287K BB (%)
Frequency Uncertainty
(ppm)
Geolocation Uncertainty
(km) *
LW 0.098 (0.14) 0.12 (0.45) 3 (10) 1.3 (1.5)
MW 0.036 (0.06) 0.15(0.58) 3 (10) 1.3 (1.5)
SW 0.003 (0.007) 0.2 (0.77) 3 (10) 1.3 (1.5)
CrIS SDR uncertainties (blue) vs. specifications (black)
* Within 30o scan angles
CrIS SDR meets all the requirements with the exception of the NEdN for MWIR FOV7.
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Documentation and Data Download
• ATBD, User’s guide, and more science documentation are available at http://www.star.nesdis.noaa.gov/jpss/ATBD.php
• CrIS monitoring system located at http://www.star.nesdis.noaa.gov/icvs/status_NPP_CrIS.
php
• CrIS SDR Data available at CLASS http://www.nsof.class.noaa.gov/saa/products/welcome
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References (JGR Special Issue)
• Han, Y., et al. (2013), Suomi NPP CrIS measurements, sensor data record algorithm, calibration and validation activities, and record data quality, J. Geophys. Res. Atmos., 118, doi:10.1002/2013JD020344
• Tobin, D., et al. (2013), Suomi-NPP CrIS radiometric calibration uncertainty, J. Geophys. Res. Atmos., 118, 10,589–10,600, doi:10.1002/jgrd.50809
• Strow, L. L., H. Motteler, D. Tobin, H. Revercomb, S. Hannon, H. Buijs, J. Predina, L. Suwinski, and R. Glumb (2013), Spectral calibration and validation of the Cross‒track Infrared Sounder (CrIS) on the Suomi NPP satellite, J. Geophys. Res. Atmos., 118, doi:10.1002/2013JD020480.
• Zavyalov, V., M. Esplin, D. Scott, B. Esplin, G. Bingham, E. Hoffman, C. Lietzke, J. Predina, R. Frain, L. Suwinski, Y. Han, C. Major, B. Graham, L. Phillips (2013), Noise performance of the CrIS instrument, J. Geophys. Res., doi: 10.1002/2013JD020457
• Wang, L., D. A. Tremblay, Y. Han, M. Esplin, D. E. Hagan, J. Predina, L. Suwinski, X. Jin, and Y. Chen (2013), Geolocation assessment for CrIS sensor data records, J. Geophys. Res. Atmos., 118, doi:10.1002/2013JD020376.
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Summary
• The CrIS instrument has been working very well since the beginning of the NPP mission
• CrIS SDR product has been validated, which meets the requirements with large margin
• A complete set of documentation on SDR product, SDR theoretical basis, and SDR calibration/validation results are available publicly
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