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A potential application of height-dependent cloud emission and scattering indices for identifying CrIS clear channels above clouds Cover

A potential application of height-dependent cloud emission and scattering indices for identifying CrIS clear channels above clouds

Volume 72 (2020): Issue 1

By: Z. Niu and X. Zou

Open Access

|Jan 2020

Abstract

Satellite data assimilation of hyperspectral Cross-track Infrared Sounder (CrIS) clear channels in regions with but not affected by low-level clouds requires a set of height-dependent cloud emission and scattering indices (CESIs) that are sensitive to cloud top pressures. In this study, three CESIs are generated by pairing CrIS longwave and shortwave channels at three altitudes around 212 (CESI-5), 452 (CESI-9) and 1085 hPa (CESI-19). The training dataset for CESIs is the European Centre for Medium-Range Weather Forecasting analysis. CESI-5 is strongly (weakly) affected by those ice clouds with cloud-top pressures (CTPs) above (below) ∼300 hPa; CESI-9 is strongly (weakly) affected by those ice clouds with CTPs above (below) ∼600 hPa; and CESI-19 is highly correlated with the ice cloud optical depth (ICOD) obtained from the Atmospheric Infrared Sounder (AIRS) retrieval product. CESIs have latitudinal and scan-dependent biases that need removal. Verified with AIRS ICOD data, CESI-19 is greater than 5 K (6.5 K) if an ice cloud is present. This 5-K threshold gives a probability of correct typing of 85.3% (86.5%), a false alarm rate of 9.5% (5.1%) and a leakage rate of 4.5% (5.0%) during the daytime (nighttime). CESI-5 (CESI-9) is greater than −3 K (−1 K) if an ice cloud is present above 200 hPa (between 200 and 300 hPa). The case of Typhoon Maria (2018) demonstrates the potential of using height-dependent CESIs to identify above-cloud CrIS clear channels.

References

Carrier, M., Zou, X. and Lapenta, W. M. 2007. Identifying cloud-uncontaminated AIRS spectra from cloudy FOV-based on cloud-top pressure and weighting functions. Mon. Wea. Rev. 135, 2278–2294. doi:10.1175/MWR3384.1
Open DOI Search in Google Scholar Back to article
Collard, A. D. 2004. Assimilation of AIRS observations at the Met Office. In: Proceedings of the Workshop on Assimilation of High Spectral Resolution Sounders in NWP, Reading, UK, ECMWF, pp. 63–71.
Search in Google Scholar Back to article
Dee, D. P. 2005. Bias and data assimilation. Q. J. R. Meteorol. Soc. 131, 3323–3343. doi:10.1256/qj.05.137
Open DOI Search in Google Scholar Back to article
Eyre, J. R. and Watts, P. 2007. A sequential estimation approach to cloud-clearing for satellite temperature sounding. Q. J. R. Meteorol. Soc. 113, 1349–1376. doi:10.1002/qj.49711347814
Open DOI Search in Google Scholar Back to article
Gambacorta, A. and Barnet, C. D. 2013. Methodology and information content of the NOAA NESDIS operational channel selection for the cross-track infrared sounder (CrIS). IEEE Trans. Geosci. Remote Sens. 51, 3207–3216. doi:10.1109/TGRS.2012.2220369
Open DOI Search in Google Scholar Back to article
Goldberg, M. D., Qu, Y., McMillin, L. M., Wolf, W. and Zhou, L. and co-authors 2003. AIRS near-real-time products and algorithms in support of operational numerical weather prediction. IEEE Trans. Geosci. Remote Sens. 41, 379–389. doi:10.1109/TGRS.2002.808307
Open DOI Search in Google Scholar Back to article
Han, Y., Revercomb, H., Cromp, M., Gu, D., Johnson, D. and co-authors. 2013. Suomi NPP CrIS measurements, sensor data record algorithm, calibration and validation activities, and record data quality. J. Geophys. Res. Atmos. 118, 12,734–12,748. doi:10.1002/2013JD020344
Open DOI Search in Google Scholar Back to article
Han, Y., Zou, X. and Weng, F. 2015. Cloud and precipitation features of Super Typhoon Neoguri revealed from dual oxygen absorption band sounding instruments on board FengYun-3C satellite. Geophys. Res. Lett. 42, 916–924. doi:10.1002/2014GL062753
Open DOI Search in Google Scholar Back to article
Kahn, B. H., Irion, F. W., Dang, V. T., Manning, E. M., Nasiri, S. L. and co-authors. 2014. The atmospheric infrared sounder version 6 cloud products. Atmos. Chem. Phys. 14, 399–426. doi:10.5194/acp-14-399-2014
Open DOI Search in Google Scholar Back to article
Li, X., Zou, X. and Zeng, M. 2019. An alternative bias correction scheme for CrIS data assimilation in regional model. Mon. Wea. Rev. 147, 809–839. doi:10.1175/MWR-D-18-0044.1
Open DOI Search in Google Scholar Back to article
Liang, D. and Weng, F. Z. 2014. Evaluation of the impact of a new quality control method on assimilation of CrIS data in HWRF-GSI. In: Proceedings of the IEEE Geoscience and Remote Sensing Symposium, Québec City, QC, Canada, pp. 3778–3781.
Search in Google Scholar Back to article
Lin, L., Zou, X. and Weng, F. Z. 2017. Combining CrIS double CO₂ bands for detecting clouds located in different vertical layers of the atmosphere. J. Geophys. Res. Atmos. 122, 1811–1827. doi:10.1002/2016JD025505
Open DOI Search in Google Scholar Back to article
McNally, A. P. and Watts, P. D. 2003. A cloud detection algorithm for high-spectral-resolution infrared sounders. Q. J. R. Meteorol. Soc. 129, 3411–3423. doi:10.1256/qj.02.208
Open DOI Search in Google Scholar Back to article
Menzel, W., Smith, T. and Stewart, T. R. 1983. Improved cloud motion wind vector and altitude assignment using VAS. J. Clim. Appl. Meteor. 22, 377–384. doi:10.1175/1520-0450(1983)022<;0377:ICMWVA>2.0.CO;2
Open DOI Search in Google Scholar Back to article
Pavelin, E., English, S. and Eyre, J. 2008. The assimilation of cloud-affected infrared satellite radiances for numerical weather prediction. Q. J. R. Meteorol. Soc. 134, 737–749. doi:10.1002/qj.243
Open DOI Search in Google Scholar Back to article
Qin, Z. and Zou, X. 2016. Uncertainty in Fengyun-3C microwave humidity sounder measurements at 118 GHz with respect to simulations from GPS RO data. IEEE Trans. Geosci. Remote Sens. 54, 6907–6918. doi:10.1109/TGRS.2016.2587878
Open DOI Search in Google Scholar Back to article
Spankuch, D. and Döhler, W. 1985. Radiative properties of cirrus clouds in the middle IR derived from Fourier spectrometer measurements from space. Z. Meteorol. 35, 314–324.
Search in Google Scholar Back to article
Weng, F., Zhao, L., Ferraro, R., Poe, G., Li, X. and co-authors. 2003. Advanced microwave sounding unit cloud and precipitation algorithms. Radio Sci. 38, 86–96.
Search in Google Scholar Back to article
Zhuge, X. and Zou, X. 2016. Test of a modified infrared only ABI cloud mask algorithm for AHI radiance observations. J. Appl. Meteor. Climatol. 55, 2529–2546. doi:10.1175/JAMC-D-16-0254.1
Open DOI Search in Google Scholar Back to article

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DOI: https://doi.org/10.1080/16000870.2019.1696141 | Journal eISSN: 3035-9554

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Language: English

Page range: 1696141 - 1696141

Published on: Jan 1, 2020

Published by: Stockholm University Press

In partnership with: Paradigm Publishing Services

Keywords:

cloud detection

© 2020 Z. Niu, X. Zou, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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