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Monitoring of IR Clear-sky Radiances over Oceans for SST (MICROS) for Himawari-8 AHI Yaoxian Huang 1,2 , Xingming Liang 1,2 , Alexander Ignatov 1 , Maxim Kramar 1,3 1 NOAA/STAR, College Park, MD, USA 2 CSU/CIRA, Fort Collins, CO, USA 3 GST, Inc., USA 1 NOAA Cooperative Research Program (CoRP), 11 th Annual Science Symposium 16-17 September 2015, UMD, College Park, USA 9/17/2015 MICROS for AHI

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Page 1: Monitoring of IR Clear-sky Radiances over Oceans for SST (MICROS… · 2015. 9. 25. · Monitoring of IR Clear -sky Radiances over Oceans for SST (MICROS) for Himawari-8 AHI Yaoxian

Monitoring of IR Clear-sky Radiances over Oceans for SST (MICROS) for Himawari-8 AHI

Yaoxian Huang1,2, Xingming Liang1,2, Alexander Ignatov1, Maxim Kramar1,3

1 NOAA/STAR, College Park, MD, USA 2 CSU/CIRA, Fort Collins, CO, USA 3 GST, Inc., USA

1

NOAA Cooperative Research Program (CoRP), 11th Annual Science Symposium 16-17 September 2015, UMD, College Park, USA

9/17/2015 MICROS for AHI

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Background

• Advanced Himawari Imager (AHI) is onboard Japanese Himawari-8 geostationary satellite, which was successfully launched on 7 Oct 2014;

• L1b data are available in 10-min granules, at 2 km spatial resolution in five SST bands centered at 3.9, 8.6, 10.4, 11.2, and 12.4 µm;

• Advanced Baseline Imager (ABI; basically the same instrument as AHI), will be launched onboard GOES-R in 2016;

• NOAA SST team adapted its Advanced Clear-sky Processor for Oceans (ACSPO) system to generate an experimental AHI Level 2 SST product;

• Clear-sky brightness temperature (BT) in 3 AHI bands centered at 3.9, 11.2 and 12.4 µm are simulated in ACSPO using the Community Radiative Transfer Model (CRTM) [adding two remaining bands is underway];

• Canadian Meteorological Center daily 0.2° L4 SST and NCEP GFS 6hr 1° atmospheric profiles first guess fields are used as input into CRTM.

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Monitoring of IR Clear-sky Radiances over Oceans for SST (MICROS)

• A near-real time web-based MICROS system was established at NOAA to

monitor model minus observations (M-O) biases for BTs and SSTs over clear-sky ocean;

• MICROS was initially developed for polar SST sensors (S-NPP VIIRS, NOAA/Metop AVHRRs, and Terra/Aqua MODISs);

• Objective of this study is to update MICROS functionality to monitor geo data, incorporate AHI data ,and check for consistency with polar data;

• MICROS will be also employed to monitor BTs and SSTs from the ABI/GOES-R.

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www.star.nesdis.noaa.gov/sod/sst/micros/

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Interface of the Geo MICROS www.star.nesdis.noaa.gov/sod/sst/micros/library/micros_ahi_test/

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Data analysis

categories

User choice

buttons

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Preliminary results

• M-O biases from 14 Apr – 31 Aug 2015;

• Time series of M-O biases for BTs (at 3.9, 11.2 and 12.4 µm) and SST;

• Full-Disk / Day / Night M-O biases (determined by the solar zenith angle, e.g. nighttime is SZA > 90°);

• Histograms and dependencies of M-O bias.

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M-O biases at 3.9, 11.2 and 12.4 µm (Full-disk)

6 9/17/2015 MICROS for AHI The warmer M-O biases may be due to not fully consistent CRTM simulations for AHI, possible residual cloud in ACSPO AHI data, or real cold observation biases in AHI BTs due to small residual calibration errors.

MEAN SD

µ ~ 0.14 K

µ ~ 0.66 K

µ ~ 0.91 K

σ ~ 0.70 K Daytime warming

Nighttime cooling

σ ~ 0.54 K

σ ~ 0.60 K

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M-O biases for SST (Full-disk, day and night)

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µ ~ 0.29 K

µ ~ 0.08 K

σ ~ 0.45 K

σ ~ 0.42 K

MEAN SD

µ ~ 0.21 K σ ~ 0.44 K

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Histograms for M-O biases

9/17/2015 MICROS for AHI 8

• AHI M-O biases generally show Gaussian distribution, which is consistent with the polar sensors showed in official MICROS web page.

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Dependencies for M-O biases

9/17/2015 MICROS for AHI 9

• M-O biases show slight dependencies on column water vapor density (CWV) and satellite zenith angle (SZA, under investigation and improvement).

3.9 µm 11.2 µm 12.4 µm

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Conclusion • AHI is being tested using MICROS functionality; • M-O biases for AHI generally show Gaussian distribution,

which is consistent with polar sensors; • AHI M-O biases show slight dependencies on CWV and

SZA; • Warmer M-O biases may be due to:

– not fully consistent CRTM simulations for AHI, – possible residual cloud in ACSPO AHI data, – real cold observation biases in AHI BTs due to small residual

calibration errors.

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Future Work

• Investigate possible causes for M-O biases in collaboration with CRTM and AHI sensor calibration teams;

• Extend AHI analyses to include two additional AHI bands currently used in SST retrievals (centered at 8.6 and 10.4 µm);

• Integrate AHI data in the official MICROS;

• Include GOES-R ABI in MICROS data after launch in 2016.

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Acknowledgement

• The MICROS development is supported by the GOES-R and JPSS Programs, and by the NOAA Ocean Remote Sensing Program. The views, opinions, and findings contained in this report are those of the authors and should not be construed as an official NOAA or U.S. Government position, policy, or decision.

• SST team at NOAA for helpful discussions.

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Backup slides

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M-O Biases at 3.9, 11.2 and 12.2 µm (Day)

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MEAN SD

µ ~ 0.56 K

µ ~ 0.83 K

σ ~ 0.52 K

σ ~ 0.56 K

µ ~ -0.34 K σ ~ 1.3 K

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M-O Biases at 3.9, 11.2 and 12.2 µm (Night)

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MEAN

µ ~ 0.45 K

µ ~ 0.72 K

µ ~ 0.96 K

SD

σ ~ 0.55 K

σ ~ 0.43 K

σ ~ 0.61 K