Cite this paper:
Yuxin LIU, Mingsen LIN, Xingwei JIANG, Xiujun SUN, Xiangzhou SONG. A comparison of multiplatform wind products in the South China Sea during summer and autumn in 2019[J]. Journal of Oceanology and Limnology, 2021, 39(6): 2181-2194

A comparison of multiplatform wind products in the South China Sea during summer and autumn in 2019

Yuxin LIU1,2, Mingsen LIN2,3, Xingwei JIANG2,3, Xiujun SUN4, Xiangzhou SONG1,5
1 Key Laboratory of Marine Hazards Forecasting, Ministry of Natural Resources, Hohai University, Nanjing 210098, China;
2 National Satellite Ocean Application Service, Beijing 100081, China;
3 Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, China;
4 Physical Oceanography Laboratory, Ocean University of China, Qingdao 266100, China;
5 College of Oceanography, Hohai University, Nanjing 210098, China
Abstract:
Sea surface wind (SSW) observations from a newly developed “Black Pearl” wave glider, the Chinese-French Oceanography Satellite (CFOSAT), the HY-2A microwave scatterometer, and a recently released high-resolution atmospheric reanalysis (ERA5) are evaluated with respect to in-situ buoy observations (115.46°E, 19.85°N) from the South China Sea. Buoy observations from June to November 2019 are used to evaluate the wind estimates from the different platforms. The comparisons show that the HY-2A and CFOSAT scatterometer wind speeds have mean root mean square errors (RMSEs) of approximately 1.6 and 1.6 m/s, respectively, and the corresponding mean wind direction RMSEs are approximately 19° and 17°, which indicates that these satellite retrievals meet the requirements of design engineering missions. The wind speed and wind direction RMSEs of ERA5 are approximately 1.9 m/s and 33°, respectively. The correlation coefficients between the HY-2A, CFOSAT, and ERA5 wind speeds and the buoy observations are 0.86, 0.85, and 0.84, respectively, and the corresponding coefficients of the wind direction are 0.98, 0.98, and 0.93, respectively, at a 95% confidence level. However, the wind sensor in the wave glider provides relatively poor-quality observations compared with the buoy measurements and has higher wind speed and wind direction RMSEs of 2.9 m/s and 50.1°, respectively. Taylor diagrams are utilized to illustrate comprehensive wind comparisons between the multiplatform observations and buoy observations. The results help identify the basic biases in SSWs among different products and enhance confidence in the future use of SSW data for studies of upper ocean dynamics and climate analysis. Suggestions are also offered to help improve the design of next-generation wave gliders.
Key words:    sea surface wind (SSW)|calibration|South China Sea (SCS)|wave glider|fifth European Centre for Medium-Range Weather Forecasts reanalysis (ERA5)|HY-2A|Chinese-French Oceanography Satellite (CFOSAT)   
Received: 2020-05-21   Revised: 2020-08-18
Tools
PDF (6360 KB) Free
Print this page
Add to favorites
Email this article to others
Authors
Articles by Yuxin LIU
Articles by Mingsen LIN
Articles by Xingwei JIANG
Articles by Xiujun SUN
Articles by Xiangzhou SONG
References:
Bentamy A, Quilfen Y, Queffeulou P, Cavanie A. 1994. Calibration of the ERS-1 scatterometer C-band model. Ifremer Tech. Rep. DRO/OS 94.0.1.
Bingham B, Kraus N, Howe B, Freitag L, Ball K, Koski P, Gallimore E. 2012. Passive and active acoustics using an autonomous wave glider. Journal of Field Robotics, 29(6):911-923, https://doi.org/10.1002/rob.21424.
Bourassa M A, Freilich M H, Legler D M, Liu W T, O'Brien J J. 1997. Wind observations from new satellite and research vessels agree. Eos, Transactions American Geophysical Union, 78(51):597-602, https://doi.org/10.1029/97EO00357.
Carbone R E, Li Y P. 2015. Tropical oceanic rainfall and sea surface temperature structure:parsing causation from correlation in the MJO. Journal of the Atmospheric Sciences, 72(7):2703-2718, https://doi.org/10.1175/JAS-D-14-0226.1.
Cayan D R. 1992. Latent and sensible heat flux anomalies over the northern oceans:driving the sea surface temperature. Journal of Physical Oceanography, 22(8):859-881, https://doi.org/10.1175/1520-0485(1992)022<0859:LAS HFA>2.0.CO;2.
Chelton D B, Freilich M H. 2005. Scatterometer-based assessment of 10-m wind analyses from the operational ECMWF and NCEP numerical weather prediction models. Monthly Weather Review, 133(2):409-429, https://doi.org/10.1175/MWR-2861.1.
Daniel T, Manley J, Trenaman N. 2011. The Wave Glider:enabling a new approach to persistent ocean observation and research. Ocean Dynamics, 61(10):1509-1520, https://doi.org/10.1007/s10236-011-0408-5.
Dickinson S, Kelly K A, Caruso M J, McPhaden M J. 2001. Comparisons between the TAO buoy and NASA scatterometer wind vectors. Journal of Atmospheric and Oceanic Technology, 18(5):799-806, https://doi.org/10.1175/1520-0426(2001)018<0799:CBTTBA>2.0.CO;2.
Ebuchi N, Graber H C, Caruso M J. 2002. Evaluation of wind vectors observed by QuikSCAT/SeaWinds using ocean buoy data. Journal of Atmospheric and Oceanic Technology, 19(12):2049-2062, https://doi.org/10.1175/1520-0426(2002)019<2049:EOWVOB>2.0.CO;2.
Ebuchi N. 1999. Statistical distribution of wind speeds and directions globally observed by NSCAT. Journal of Geophysical Research:Oceans, 104(C5):11393-11403, https://doi.org/10.1029/98JC02061.
Ekman V W. 1905. On the influence of the Earth's rotation on ocean-currents. Arkiv fö r Matematik, Astronomi Och Fysik, 2(11):1-52.
ESA Earth Observation Portal. 2020. CFOSAT (ChineseFrench Oceanography Satellite). https://directory.eoportal.org/web/eoportal/satellite-missions/c-missions/cfosat. Accessed on 2020-05-10.
Fairall C W, Bradley E F, Hare J E, Grachev A A, Edson J B. 2003. Bulk parameterization of air-sea fluxes:updates and verification for the COARE algorithm. Journal of Climate, 16(4):571-591, https://doi.org/10.1175/1520-0442(2003) 016<0571:BPOASF>2.0.CO;2.
Freitag H P, Ning C, Berk P L, Dougherty D M, Marshall R F, Strick J M, Zimmerman D K. 2016. ATLAS, T-Flex, Bailong Meteorological Sensor Comparison Test Report. NOAA Tech. Memo. OAR PMEL-148, NOAA/Pacific Marine Environmental Laboratory, Seattle WA. 40p.
Hersbach H, Bell B, Berrisford P, Horányi A, Sabater J M, Nicolas J, Radu R, Schepers D, Simmons A, Soci C, Dee D. 2019. Global Reanalysis:Goodbye ERA-Interim, Hello ERA5. ECMWF, UK, 159. p.17-24.
Hine R, Willcox S, Hine G, Richardson T. 2009. The wave glider:a wave-powered autonomous marine vehicle. In:Proceedings of Oceans 2009. IEEE, Biloxi. p.1-6.
Höglund A, Meier H E M, Broman B, Kriezi E. 2009. Validation and Correction of Regionalised ERA-40 Wind Fields Over the Baltic Sea Using the Rossby Centre Atmosphere Model RCA3.0. Rapport Oceanografi No 97, Swedish Meteorological and Hydrological Institute, Norrköping, Sweden. 29p.
Huang R X. 2010. Ocean Circulation:Wind-Driven and Thermohaline Processes. Cambridge University Press, Cambridge. 828p.
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.
Jones W I, Schroeder L C, Boggs D H, Bracalente E M, Brown R A, Dome G J, Pierson W J, Wentz F J. 1982. The SEASAT-a satellite scatterometer:the geophysical evaluation of remotely sensed wind vectors over the ocean. Journal of Geophysical Research:Oceans, 87(C5):3297-3317, https://doi.org/10.1029/JC087iC05p03297.
Kim H G, Kim J Y, Kang Y H. 2018. Comparative evaluation of the third-generation reanalysis data for wind resource assessment of the southwestern offshore in South Korea. Atmosphere, 9(2):73, https://doi.org/10.3390/atmos9020073.
Ladd C, Bond N A. 2002. Evaluation of the NCEP/NCAR reanalysis in the NE Pacific and the Bering Sea. Journal of Geophysical Research:Oceans, 107(C10):3158, https://doi.org/10.1029/2001JC001157.
Li C, Sang H Q, Sun X J, Qi Z H. 2017. Hydrographic and meteorological observation demonstration with wave glider "Black Pearl". In:Proceedings of the 10th International Conference on Intelligent Robotics and Applications. Springer, Wuhan. p.790-800, https://doi.org/10.1007/978-3-319-65289-4_73.
Li D W, Shen H. 2015. Evaluation of wind vectors observed by HY-2A scatterometer using ocean buoy observations, ASCAT measurements, and numerical model data. Chinese Journal of Oceanology and Limnology, 33(5):1191-1200, https://doi.org/10.1007/s00343-015-4136-4.
Li Y P, Carbone R E. 2012. Excitation of rainfall over the tropical western Pacific. Journal of the Atmospheric Sciences, 69(10):2983-2994, https://doi.org/10.1175/JAS-D-11-0245.1.
Lin W M, Dong X L, Portabella M, Lang S Y, He Y J, Yun R S, Wang Z X, Xu X G, Zhu D, Liu J Q. 2019. A perspective on the performance of the CFOSAT rotating fan-beam scatterometer. IEEE Transactions on Geoscience and Remote Sensing, 57(2):627-639, https://doi.org/10.1109/TGRS.2018.2858852.
Liu W T, Katsaros K B, Businger J A. 1979. Bulk parameterization of air-sea exchanges of heat and water vapor including the molecular constraints at the interface. Journal of the Atmospheric Sciences, 36(9):1722-1735, https://doi.org/10.1175/1520-0469(1979)036<1722:BPO ASE>2.0.CO;2.
Madden R A, Julian P R. 1971. Detection of a 40-50 day oscillation in the zonal wind in the tropical Pacific. Journal of the Atmospheric Sciences, 28(5):702-708, https://doi.org/10.1175/1520-0469(1971)028<0702:DOA DOI>2.0.CO;2.
Madden R A, Julian P R. 1972. Description of global-scale circulation cells in the tropics with a 40-50 day period. Journal of the Atmospheric Sciences, 29(6):1109-1123, https://doi.org/10.1175/1520-0469(1972)029<1109:DOG SCC>2.0.CO;2.
Manley J, Willcox S. 2010. The Wave Glider:a persistent platform for ocean science. In:Proceedings of OCEANS'10 IEEE SYDNEY. IEEE, Sydney. p.1-5, https://doi.org/10.1109/OCEANSSYD.2010.5603614.
National Satellite Ocean Application Service. 2020a. CFOSAT. http://www.nsoas.org.cn/eng/item/207.html. Accessed on 2020-05-10.
National Satellite Ocean Application Service. 2020b. HY-2A. http://www.nsoas.org.cn/eng/item/205.html. Accessed on 2020-05-10.
Pedlosky J. 1987. Geophysical Fluid Dynamics. 2nd edn. Springer Verlag, New York. 710p.
Peng G, Zhang H M, Frank H P, Bidlot J R, Higaki M, Stevens S, Hankins W R. 2013. Evaluation of various surface wind products with oceanSITES buoy measurements. Weather and Forecasting, 28(6):1281-1303, https://doi.org/10.1175/WAF-D-12-00086.1.
Plagge A M, Vandemark D, Chapron B. 2012. Examining the impact of surface currents on satellite scatterometer and altimeter ocean winds. Journal of Atmospheric and Oceanic Technology, 29(12):1776-1793, https://doi.org/10.1175/JTECH-D-12-00017.1.
Price J F, Weller R A, Pinkel R. 1986. Diurnal cycling:observations and models of the upper ocean response to diurnal heating, cooling, and wind mixing. Journal of Geophysical Research:Oceans, 91(C7):8411-8427, https://doi.org/10.1029/JC091iC07p08411.
Song L N, Liu Z L, Wang F. 2015. Comparison of wind data from ERA-interim and buoys in the Yellow and East China Seas. Chinese Journal of Oceanology and Limnology, 33(1):282-288, https://doi.org/10.1007/s00343-015-3326-4.
Song X Z, Yu L S. 2012. High-latitude contribution to global variability of air-sea sensible heat flux. Journal of Climate, 25(10):3515-3531, https://doi.org/10.1175/JCLI-D-11-00028.1.
Sriver R L, Huber M. 2007. Observational evidence for an ocean heat pump induced by tropical cyclones. Nature, 447(7144):577-580, https://doi.org/10.1038/nature05785.
Sun X J, Wang L, Sang H Q. 2019. Application of wave glider "Black Pearl" to typhoon observation in South China Sea. Journal of Unmanned Undersea Systems, 27(5):562-569, https://doi.org/10.11993/j.issn.2096-3920.2019.05.012.(in Chinese with English abstract)
Thompson D W J, Wallace J M. 2000a. Annular modes in the extratropical circulation. Part I:month-to-month variability. Journal of Climate, 13(5):1000-1016, https://doi.org/10.1175/1520-0442(2000)013<1000:AMITEC>2.0.CO;2.
Thompson D W J, Wallace J M. 2000b. Annular modes in the extratropical circulation. Part Ⅱ:trends. Journal of Climate, 13(5):1018-1036, https://doi.org/10.1175/1520-0442(2000)013<1018:AMITEC>2.0.CO;2.
Verspeek J, Stoffelen A, Portabella M, Bonekamp H, Anderson C, Saldana J F. 2010. Validation and calibration of ASCAT using CMOD5.n. IEEE Transactions on Geoscience and Remote Sensing, 48(1):386-395, https://doi.org/10.1109/TGRS.2009.2027896.
Wang L L, Ding Z Y, Zhang L, Yan C. 2019. Cfosat-1 realizes first joint observation of sea wind and waves. Aerospace China, 20(1):20-27.
Yu L S, Weller R A. 2007. Objectively analyzed air-sea heat fluxes for the global ice-free oceans (1981-2005). Bulletin of the American Meteorological Society, 88(4):527-540, https://doi.org/10.1175/BAMS-88-4-527.
Yu L S. 2019. Global air-sea fluxes of heat, fresh water, and momentum:energy budget closure and unanswered questions. Annual Review of Marine Science, 11:227-248, https://doi.org/10.1146/annurev-marine-010816-060704.
Zhang H M, Reynolds R W, Bates J J. 2006. Blended and gridded high resolution global sea surface wind speed and climatology from multiple satellites:1987-present. In:Proceedings of the 14th Conference on Satellite Meteorology and Oceanography. AMS, Atlanta. p.2-23.
Zhao K, Zhao C F. 2019. Evaluation of HY-2A scatterometer ocean surface wind data during 2012-2018. Remote Sensing, 11(24):2968, https://doi.org/10.3390/rs11242968.
Copyright © Haiyang Xuebao