Sea ice thickness estimation in the Bohai Sea using geostationary ocean color imager data
-
摘要: 提出一种基于GOCI数据提取渤海海冰厚度方法并将其应用于2014年-2015年冬季渤海海冰厚度动态变化监测。首先基于高时间分辨率的GOCI数据建立GOCI短波宽带反射率与各波段反射率模型,然后建立海冰厚度与GOCI短波宽带反射率模型,并将此模型应用于渤海海冰厚度监测,最后通过基于MODIS数据、热动力学模型(Lebedev和Zubov模型)反演获得的海冰厚度以及实测海冰厚度数据对实验结果进行验证。实验结果表明:基于GOCI数据建立海冰厚度模型所反演的海冰厚度与基于MODIS数据反演的海冰厚度以及Lebedev和Zubov模型具有较高相关性(R2>0.86),而且反演结果接近实测数据(RMS为6.82 cm)。Abstract: A method to estimate the thickness of the sea ice of the Bohai Sea is proposed using geostationary ocean color imager (GOCI) data and then applied to the dynamic monitoring of the sea ice thickness in the Bohai Sea during the winter of 2014 to 2015. First of all, a model is given between the GOCI shortwave broadband albedo and the reflectance of each band with high temporal resolution GOCI data. Then, the relationship model between the sea ice thickness and the GOCI shortwave broadband albedo is established and applied to the thickness extraction of the sea ice in the Bohai Sea. Finally, the sea ice thickness extraction method is tested by the results based on the MODIS data, thermodynamic empirical models (Lebedev and Zubov), and the in situ ice thickness data. The test results not only indicated that the sea ice thickness retrieval method based on the GOCI data was a good correlation (r2>0.86) with the sea ice thickness retrieved by the MODIS and thermodynamic empirical models, but also that the RMS is only 6.82 cm different from the thickness of the sea ice based on the GOCI and in situ data.
-
Key words:
- sea ice /
- thickness /
- geostationary ocean color imager /
- Bohai Sea
-
Assel A A. 1990. An ice-cover climatology for lake erie and lake super-ior for the winter seasons 1897-1898 to 1982-1983. Internation-al Journal of Climatology, 10(7):731-748 Ahn J H, Park Y J, Ryu J H, et al. 2012. Development of atmospheric-correction algorithm for geostationary ocean color imager (GOCI). Ocean Science Journal, 47(3):247-259 Allison I, Brandt R E, Warren S G. 1993. East Antarctic sea ice:albedo, thickness distribution, and snow cover. Journal of Geophysical Research, 98(C7):12417-12429 Bai Shan, Wu Huiding. 1998. Numerical sea ice forecast for the Bohai Sea. Acta Meteorologica Sinica (in Chinese), 56(2):139-153 Barry R G, Serreze M C, Maslanik J A, et al. 1993. The Arctic sea ice-climate system:observations and modeling. Reviews of Geo-physics, 31(4):397-422 Gloersen P, Campbell W J. 1988. Variations in the Arctic, Antarctic, and global sea ice covers during 1978-1987 as observed with the Nimbus 7 scanning multichannel microwave radiometer. Journal of Geophysical Research, 93(C9):10666-10674 Grenfell T C. 1991. A radiative transfer model for sea ice with vertical structure variations. Journal of Geophysical Research:Oceans (1978-2012), 96(C9):16991-17001 Grenfell T C, Perovich D K. 1984. Spectral albedos of sea ice and in-cident solar irradiance in the southern Beaufort Sea. Journal of Geophysical Research:Oceans (1978-2012), 89(C3):3573-3580 He Xianqiang, Bai Yan, Pan Delu, et al. 2013. Using geostationary satellite ocean color data to map the diurnal dynamics of sus-pended particulate matter in coastal waters. Remote Sensing of Environment, 133:225-239 Hvidegaard S M, Forsberg R. 2002. Sea ice thickness from airborne laser altimetry over the Arctic Ocean north of Greenland. Geo-physical Research Letters, 29(20):13-1-13-4 Kaleschke L, Tian-Kunze X, MaaßN, et al. 2012. Sea ice thickness re-trieval from SMOS brightness temperatures during the Arctic freeze-up period. Geophysical Research Letters, 39(5):L05501 Kim J W, Kim D J, Hwang B J. 2012. Characterization of Arctic sea ice thickness using high-resolution spacebornepolarimetric SAR data. IEEE Transactions on Geoscience and Remote Sensing, 50(1):13-22 Kim M, Kim J, Wong M S, et al. 2014. Improvement of aerosol optical depth retrieval over Hong Kong from a geostationary meteoro-logical satellite using critical reflectance with background op-tical depth correction. Remote Sensing of Environment, 142:176-187 Laxon S W, Giles K A, Ridout A L, et al. 2013. CryoSat-2 estimates of Arctic sea ice thickness and volume. Geophysical Research Let-ters, 40(4):732-737 Laxon S W, Peacock N, Smith D. 2003. High interannual variability of sea ice thickness in the Arctic Region. Nature, 425(6961):947-950 Li Yanqing, Su Jie, Wang Yang, et al. 2013. Variability of the pentadly average distance between the sea ice edge and the coast in the Bohai Sea and its key impact factors. Periodical of Ocean Uni-versity of China (in Chinese), 43(7):7-16 Liang Shunlin. 2001. Narrowband to broadband conversions of land surface albedo:I. Algorithms. Remote Sensing of Environment, 76(2):213-238 Liu Chengyu, Chao Jinlong, Guo Wei, et al. 2015. Estimation of sea ice thickness in the Bohai Sea using a combination of VIS/NIR and SAR images. GIScience & Remote Sensing, 52(2):115-130 Lu Peng, Li Zhijun, Dong Xilu, et al. 2004. Sea ice thickness and con-centration analysis methods in Arctic based on remote sensing images. Chinese Journal of Polar Research (in Chinese), 16(4):317-323 Nakamura K, Wakabayashi H, Naoki K, et al. 2005. Observation of sea ice thickness in the Sea of Okhotsk by using dual-frequency and fully polarimetric airborne SAR (Pi-SAR) data. IEEE Transac-tions on Geoscience and Remote Sensing, 43(11):2460-2469 Ning Li, Xie Feng, Gu Wei, et al. 2009. Using remote sensing to estim-ate sea ice thickness in the Bohai Sea, China based on ice type. International Journal of Remote Sensing, 30(17):4539-4552 Ryu J H, Han H J, Cho S, et al. 2012. Overview of geostationary ocean color imager (GOCI) and GOCI data processing system (GDPS). Ocean Science Journal, 47(3):223-233 Shi Peijun, Fan Yida, Ha Si, et al. 2002. Calculating gross sea ice re-source using AVHRR and MODIS data. Journal of Natural Re-sources (in Chinese), 17(2):138-143 Spreen G, Kaleschke L, Heygster G. 2008. Sea ice remote sensing us-ing AMSR-E 89-GHz channels. Journal of Geophysical Re-search, 113(C2):C02S03 Su Hua, Wang Yunpeng. 2012. Using MODIS data to estimate sea ice thickness in the Bohai Sea (China) in the 2009-2010 winter. Journal of Geophysical Research Oceans, 117(C10):C10018 Su Jie, Hao Guanghua, Ye Xinxin, et al. 2013. The experiment and val-idation of sea ice concentration AMSR-E retrieval algorithm in polar region. Journal of Remote Sensing, 17(3):495-513 Xie Feng, Gu Wei, Yuan Yi, et al. 2003. Estimation of sea ice resources in Liaodong Gulf using remote sensing. Resources Science (in Chinese), 25(3):17-23 Yeom J M, Kim H O. 2013. Feasibility of using geostationary ocean colour imager (GOCI) data for land applications after atmo-spheric correction and bidirectional reflectance distribution function modelling. International Journal of Remote Sensing, 34(20):7329-7339 Zhang Xi, Zhang Jie, Ji Yonggang. 2008. Sea ice detection from SAR images of the Liaodong Bay based on texture analysis. Ad-vances in Marine Science, 26(3):386-393 Zhang Xi, Zhang Jie, Meng Junmin, et al. 2013. Polarimetric scatter-ing charavteristics based sea ice types classification by polari-metric synthetic aperture radar:taking sea ice in the Bohai Sea for example. Haiyang Xuebao (in Chinese), 35(5):95-101
点击查看大图
计量
- 文章访问数: 1404
- HTML全文浏览量: 92
- PDF下载量: 545
- 被引次数: 0