Verification and recalibration of HY-2A microwave radiometer brightness temperature -- Journal of Oceanology and Limnology,2019,37(3):968-981

	Cite this paper:
	ZHAO Yili, LI Huimin, CHEN Chuntao, ZHU Jianhua. Verification and recalibration of HY-2A microwave radiometer brightness temperature[J]. Journal of Oceanology and Limnology, 2019, 37(3): 968-981

Verification and recalibration of HY-2A microwave radiometer brightness temperature

ZHAO Yili^1,2, LI Huimin², CHEN Chuntao¹, ZHU Jianhua¹

1 National Ocean Technology Centre, Tianjin 300112, China;
2 Laboratoire d'Oceanographie Physique et Spatiale, Ifremer, Plouzané 29280, France

Abstract:

HY-2A is the first one of the Chinese HY-2 ocean satellite series carrying a microwave radiometer (RM) to measure sea surface temperature, sea surface wind speed, atmospheric water vapor, cloud liquid water content, and rain rate. We verified the RM level 1B brightness temperature (T_B) to retrieve environmental parameters. In the verification, T_B that simulated using the ocean-atmosphere radiative transfer model (RTM) was used as a reference. The total bias and total standard deviation (SD) of the RM level 1B T_B, with reference to the RTM simulation, ranged -20.6-4.38 K and 0.7-2.93 K, respectively. We found that both the total bias and the total SD depend on the frequency and polarization, although the values for ascending and descending passes are different. In addition, substantial seasonal variation of the bias was found at all channels. The verification results indicate the RM has some problems regarding calibration, e.g., correction of antenna spillover and antenna physical emission, especially for the 18.7-GHz channel. Based on error analyses, a statistical recalibration algorithm was designed and recalibration was performed for the RM level 1B T_B. Validation of the recalibrated T_B indicated that the quality of the recalibrated RM level 1B T_B was improved significantly. The bias of the recalibrated T_B at all channels was reduced to <0.4 K, seasonal variation was almost eradicated, and SD was diminished (i.e., the SD of the 18.7-GHz channel was reduced by more than 0.5 K).

Key words: HY-2A|microwave radiometer|brightness temperature (T_B)|verification|calibration

Received: 2018-04-03 Revised: 2018-07-23

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Articles by ZHAO Yili

Articles by LI Huimin

Articles by CHEN Chuntao

Articles by ZHU Jianhua

References:
Alsweiss S O, Jelenak Z, Chang P S, Park J D, Meyers P. 2015.Inter-calibration results of the Advanced Microwave Scanning Radiometer-2 over ocean. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(9):4 230-4 238, https://doi.org/10.1109/JSTARS.2014.2330980.
Bell W, Candy B, Atkinson N, Hilton F, Baker N, Bormann N, Kelly G, Kazumori M, Campbell W F, Swadley S D. 2008. The assimilation of SSMIS radiances in numerical weather prediction models. IEEE Transactions on Geoscience and Remote Sensing, 46(4):884-900, https://doi.org/10.1109/TGRS.2008.917335.
Bettenhausen M H, Smith C K, Bevilacqua R M, Gaiser P W, Cox S. 2006. A nonlinear optimization algorithm for WindSat wind vector retrievals. IEEE Transactions on Geoscience and Remote Sensing, 44(3):597-610.
Brucker L, Cavalieri D J, Markus T, Ivanoff A. 2014. NASA Team 2 sea ice concentration algorithm retrieval uncertainty. IEEE Transactions on Geoscience and Remote Sensing, 52(11):7 336-7 352.
Draper D W, Newell D A, Wentz F J, Krimchansky S, Skofronick-Jackson G M. 2015. The global precipitation measurement (GPM) microwave imager (GMI):instrument overview and early on-orbit performance.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(7):3 452-3 462, https://doi.org/10.1109/JSTARS.2015.2403303.
Gaiser P W, St Germain K M, Twarog E M, Poe G A, Purdy W, Richardson D, Grossman W, Jones W L, Spencer D, Golba G, Cleveland J, Choy L, Bevilacqua R M, Chang P S. 2004. The WindSat spaceborne polarimetric microwave radiometer:sensor description and early orbit performance. IEEE Transactions on Geoscience and Remote Sensing, 42(11):2 347-2 361, https://doi.org/10.1109/TGRS.2004.836867.
Guan L, Liu M K. 2015. Evaluation of sea surface temperature from HY-2 scanning microwave radiometer. In:2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, Milan, Italy. p.961-964, https://doi.org/10.1109/IGARSS.2015.7325927.
Huang X Q, Zhu J H, Lin M S, Zhao Y L, Wang H, Chen C T, Peng H L, Zhang Y G. 2014a. A preliminary assessment of the sea surface wind speed production of HY-2 scanning microwave radiometer. Acta Oceanologica Sinica, 33(1):114-119, https://doi.org/10.1007/s13131-014-0403-z.
Huang X Q, Zhu J H, Zhao Y L, Wang H, Chen C T. 2014b.Preliminary validation of total water vapor column production of scanning microwave radiometer onboard HY-2 satellite. IOP Conference Series:Earth and Environmental Science, 17(1):012277, https://doi.org/10.1088/1755-1315/17/1/012277.
Jiang X W, Lin M S, Liu J Q, Zhang Y G, Xie X T, Peng H L, Zhou W. 2012. The HY-2 satellite and its preliminary assessment. International Journal of Digital Earth, 5(3):266-281, https://doi.org/10.1080/17538947.2012.658685.
Kroodsma R A, McKague D S, Ruf C S. 2012. Inter-calibration of microwave radiometers using the vicarious cold calibration double difference method. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5(3):1 006-1 013, https://doi.org/10.1109/JSTARS.2012.2195773.
Kunkee D B, Poe G A, Boucher D J, Swadley S D, Hong Y, Wessel J E, Uliana E A. 2008. Design and evaluation of the first special sensor microwave imager/sounder. IEEE Transactions on Geoscience and Remote Sensing, 46(4):863-883, https://doi.org/10.1109/TGRS.2008.917980.
Li Y M, Li J, Hu T Y, Duan C D, Chen W X, Lei W N. 2014.In-orbit correction and optimization design of the calibration assembly for HY-2 microwave radiometer. In:2014 IEEE Geoscience and Remote Sensing Symposium(IGARSS). IEEE, Quebec City, QC, Canada. p.5 183-5 186, https://doi.org/10.1109/IGARSS.2014.6947666.
Liebe H J. 1989. MPM-An atmospheric millimeter-wave propagation model. International Journal of Infrared & Millimeter Waves, 10(6):631-650.
Liu M K, Guan L, Zhao W, Chen G. 2017. Evaluation of sea surface temperature from the HY-2 scanning microwave radiometer. IEEE Transactions on Geoscience and Remote Sensing, 55(3):1 372-1 380, https://doi.org/10.1109/TGRS.2016.2623641.
Meissner T, Wentz F J. 2012. The emissivity of the ocean surface between 6 and 90 GHz over a large range of wind speeds and earth incidence angles. IEEE Transactions on Geoscience and Remote Sensing, 50(8):3 004-3 026, https://doi.org/10.1109/TGRS.2011.2179662.
Meissner T, Wentz F, Draper D. 2012. GMI calibration algorithm and analysis theoretical basis document, Version G. In:Prepared by Remote Sensing Systems at 444 10th Street, Suite 200, Santa Rosa, CA 95401. Ball Aerospace & Technologies Corp. P.O. Box 1062, Boulder, CO 80306. 125p.
Meissner T, Wentz F. 2005. Ocean retrievals for WindSat:radiative transfer model, algorithm, validation. In:Proceedings of OCEANS 2005 MTS/IEEE. IEEE, Washington, DC, USA. p.130-133, https://doi.org/10.1109/OCEANS.2005.1639750.
Rozoff C M, Velden C S, Kaplan J, Kossin J P, Wimmers A J. 2015. Improvements in the probabilistic prediction of tropical cyclone rapid intensification with passive microwave observations. Weather and Forecasting, 30(4):1 016-1 038, https://doi.org/10.1175/WAF-D-14-00109.1.
Wang Z Z, Li Y, Yin X B. 2014. In-orbit calibration scanning microwave radiometer on HY-2 satellite of China. In:2014 IEEE Geoscience and Remote Sensing Symposium(IGARSS). IEEE, Quebec City, QC, Canada, p.936-1 939, https://doi.org/10.1109/IGARSS.2014.6946838.
Wentz F J, Draper D. 2016. On-orbit absolute calibration of the global precipitation measurement microwave imager.Journal of Atmospheric and Oceanic Technology, 33(7):1 393-1 412, https://doi.org/10.1175/JTECH-D-15-0212.1.
Wentz F J. 1997. A well-calibrated ocean algorithm for special sensor microwave/imager. Journal of Geophysical Research Ocean, 102(C4):8 703-8 718, https://doi.org/10.1029/96JC01751.
Wentz F J. 2013. SSM/I Version-7 Calibration Report. RSS Technical Report 11012, Remote Sensing Systems, Santa Rosa, Calif.
Wentz F J. 2015. A 17-yr climate record of environmental parameters derived from the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager.‎Journal of Climate, 28(17):6 882-6 902, https://doi.org/10.1175/JCLI-D-15-0155.1.
Zhang L, Shi H Q, Du H D, Zhu E Z, Zhang Z H, Fang X. 2016. Comparison of WindSat and buoy-measured ocean products from 2004 to 2013. Acta Oceanologica Sinica, 35(1):67-78, https://doi.org/10.1007/s13131-016-0798-9.
Zhao Y L, Zhu J H, Lin M S, Chen C T, Huang X Q, Wang H, Zhang Y G, Peng H L. 2014. Assessment of the initial sea surface temperature product of the scanning microwave radiometer aboard on HY-2 satellite. Acta Oceanologica Sinica, 33(1):109-113, https://doi.org/10.1007/s13131-014-0402-0.