Please wait a minute...
img img
高级检索
地球科学进展  2018, Vol. 33 Issue (4): 425-434    DOI: 10.11867/j.issn.1001-8166.2018.04.0425
研究简报     
基于GF-4数据分析低分辨率卫星云检测尺度误差对下行辐射计算的影响
裔传祥1,2(), 辛晓洲2, 胡继超1, 张海龙2, 李小军2, 龚围3
1.南京信息工程大学 应用气象学院,江苏 南京 210044
2.中国科学院遥感与数字地球研究所遥感科学国家重点实验室,北京 100101
3.重庆师范大学,重庆 400047
Analysis of Cloud Scale Error of Low Resolution Satellite Based on GF-4 and Its Influence on Downward Radiation Calculation
Chuanxiang Yi1,2(), Xiaozhou Xin2, Jichao Hu1, Hailong Zhang2, Xiaojun Li2, Wei Gong3
1.School of Applied Meteorology,Nanjing University of Information Science & Technology,Nanjing 210044,China;
2.State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100101,China
3.Chongqing Normal University,Chongqing 400047,China
 全文: PDF(6509 KB)   HTML
摘要:

为研究低分辨率气象卫星数据云检测的尺度误差及其给下行辐射计算带来的影响,利用高分辨率静止卫星GF-4数据进行云检测并进行误差分析。首先运用可见光通道阈值法和时间序列法,对GF-4数据进行云检测,以GF-4云检测结果为基准,分析Himawari-8和FY-2(FY-2G和FY-2E)云检测结果的误差。在研究区内FY-2G,FY-2E与Himawari-8云图能够将云和晴空较好的区分开,造成误差的主要原因是不同空间分辨率卫星所产生的尺度效应(云检测算法不同造成的差异在此不予讨论),误差大多发生在薄云以及碎云较多的区域,高分辨率数据能够较好地检测出碎云,而低分辨率数据则会产生误检、检等情况。在此基础上对下行短波辐射遥感计算的误差进行分析,发现像元中实际云量的误差会给下行辐射的估算带来明显误差,所选试验区瞬时下行辐射相对误差最大为-173.52%,日总下行短波辐射相对误差最大为-20.20%。研究结果表明,在碎云较多的区域,利用高分辨率静止卫星数据可以显著提高下行短波辐射的估算精度。

关键词: GF-4Himawari-8FY-2云检测下行短波辐射    
Abstract:

In order to study the scale error of low resolution meteorological satellite cloud detection and its impact on the calculation of downlink radiation, cloud detection using high resolution stationary satellite GF-4 data and error analysis were carried out. Firstly, the cloud detection of GF-4 data is carried out by using visible channel threshold method and time series method, and the error of cloud detection results of Himawari-8 and FY-2 (FY-2G, FY-2E) is analyzed based on the results of GF-4 cloud detection.In the study area, FY-2G, FY-2E and Himawari-8 cloud images could distinguish the clouds and clear sky. The main reason for the error was the scale effect produced by different spatial resolution satellites(the differences caused by cloud detection algorithms are not discussed here).Most of the errors occurred in the areas of thin clouds and broken clouds.High resolution data could detect broken clouds, while low resolution data lead to false and missed detection. On this basis, the error of remote sensing calculation of short wave radiation was analyzed,and it was found that the error of the actual cloud amount in the pixel would bring significant error to the estimation of the downward radiation.The relative error of the instantaneous downward radiation in the selected test area was -173.52%, and the maximum relative error of shortwave radiation was -20.20%.The results show that the high resolution stationary satellite data can significantly improve the estimation accuracy of the downlink shortwave radiation in the regions with more broken clouds.

Key words: GF-4    Himawari-8    FY-2    Cloud detection    Downward shortwave radiation.
收稿日期: 2017-10-09 出版日期: 2018-05-24
ZTFLH:  P405  
基金资助: *中国科学院重点部署项目“混合像元能量平衡遥感模型及其参数化方法研究”(编号:KZZD-EW-TZ-18);国家自然科学基金项目“卫星像元尺度地表能量平衡遥感算法研究”(编号:41371360)资助.
作者简介:

作者简介:裔传祥(1992-),男,江苏盐城人,硕士研究生,主要从事应用气象研究.E-mail:18761808890@163.com

服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
裔传祥
辛晓洲
胡继超
张海龙
李小军
龚围

引用本文:

裔传祥, 辛晓洲, 胡继超, 张海龙, 李小军, 龚围. 基于GF-4数据分析低分辨率卫星云检测尺度误差对下行辐射计算的影响[J]. 地球科学进展, 2018, 33(4): 425-434.

Chuanxiang Yi, Xiaozhou Xin, Jichao Hu, Hailong Zhang, Xiaojun Li, Wei Gong. Analysis of Cloud Scale Error of Low Resolution Satellite Based on GF-4 and Its Influence on Downward Radiation Calculation. Advances in Earth Science, 2018, 33(4): 425-434.

链接本文:

http://www.adearth.ac.cn/CN/10.11867/j.issn.1001-8166.2018.04.0425        http://www.adearth.ac.cn/CN/Y2018/V33/I4/425

数据名称 卫星类型 数据介绍 空间分辨率 时间分辨率 时间序列
GF-4 同步轨道
光学卫星
1A级产品 50 m 无固定时间
分辨率
2016年12月14日和29日9:00,10:30,12:00,13:30,15:00,16:30
Himawari-8 静止气象卫星 云产品 2 km 1 h(整点) 2016年12月14日和29日9:00,12:00,15:00
FY-2G 静止气象卫星 云检测产品 5 km 1 h(整点) 2016年12月14日和29日9:00,12:00,15:00
FY-2E 静止气象卫星 云分类产品 5 km 1 h(半点) 2016年12月14日和29日10:30,13:30,16:30
表1  数据源统计表
图1  GF-4彩色合成图以及云检测结果图(a)5,4,3波段合成图;(b)云检测结果
图2  GF-4的5,4,3波段合成图(a,b,c)以及GF-4(d,e,f)、Himawari-8(g,h,i)和FY-2G(j,k,l)云图结果第一列时间为2016年12月14日9:00;第二列时间为12:00;第三列为15:00
图3  14日12点Himawari-8与FY-2G云检测误检示意图蓝色为晴空像元误检,红色为云像元误检
图4  FY-2G,FY-2E,Himawari-8云像元对应GF-4云所占比例统计结果
序号 时间 像元标志 实际云所占
比例/%
绝对误差
/(W/m2)
下行短波辐射
相对误差/%
一天相对误差
/%
1 9:00 91.56 -46.97 -10.51 1.32
10:30 100.00 490.67 153.07
12:00 82.70 -76.79 -22.00
13:30 99.16 -3.30 -0.97
15:00 100.00 0.00 0.00
16:30 32.00 -327.76 -39.34
2 9:00 98.70 -6.63 -1.50 -20.20
10:30 100.00 452.99 56.07
12:00 30.77 -285.02 -94.57
13:30 64.44 -178.82 -78.21
15:00 100.00 -0.00 0.00
16:30 8.65 -591.86 -173.52
3 9:00 54.16 -45.06 -5.17 -9.70
10:30 53.47 56.02 7.71
12:00 64.44 -38.04 -6.12
13:30 100.00 0.00 0.00
15:00 61.36 -126.90 -19.32
16:30 27.33 -251.82 -28.43
4 9:00 59.84 -65.18 -8.52 -8.70
10:30 97.59 161.06 20.51
12:00 46.85 -86.73 -16.39
13:30 64.12 -67.45 -12.61
15:00 23.22 -147.12 -22.14
16:30 20.07 -151.52 -19.21
5 9:00 36.11 12.12 1.33 -10.73
10:30 56.77 21.32 2.81
12:00 48.57 -20.50 -3.07
13:30 80.26 -50.51 -9.72
15:00 15.59 -230.01 -28.19
16:30 19.63 -225.85 -24.40
6 9:00 10.53 0.87 0.09 -3.62
10:30 80.97 7.53 0.97
12:00 1.10 -9.92 -1.46
13:30 21.13 -71.97 -11.42
15:00 46.59 -46.03 -5.99
16:30 29.77 -55.97 -6.24
7 9:00 0.81 -102.09 -19.54 -4.39
10:30 1.00 0.00 0.00
12:00 0.94 -26.37 -8.43
13:30 1.00 0.00 0.00
15:00 1.00 0.00 0.00
16:30 1.00 0.00 0.00
8 9:00 0.00 0.00 0.00 -14.76
10:30 0.05 0.97 0.12
12:00 0.23 -15.96 -2.40
13:30 0.27 -250.91 -65.37
15:00 1.00 0.00 0.00
16:30 0.04 -392.80 -68.34
表2  风云二号数据模拟下行短波辐射误差统计表
[1] Li L, Xin X, Zhang H, et al. A method for estimating hourly Photosynthetically Active Radiation (PAR) in China by combining geostationary and polar-orbiting satellite data[J]. Remote Sensing of Environment, 2015, 165:14-26.
doi: 10.1016/j.rse.2015.03.034
[2] Jiao Jingjun, Xin Xiaozhou, Yu Shanshan, et al. Estimation of surface energy balance from HJ-1 satellite data[J]. Journal of Remote Sensing, 2014, 18(5):1 048-1 058.[矫京均, 辛晓洲, 余珊珊,等. HJ-1卫星数据估算地表能量平衡[J]. 遥感学报, 2014, 18(5):1 048-1 058.
doi: 10.11834/jrs.20143322
[3] Hu Liqin, Liu Changsheng.The influence of cloud layer and aerosol on absorption of solar radiation[J]. Plateau Meteorology,2001,20(3): 264-270.[胡丽琴, 刘长盛. 云层与气溶胶对大气吸收太阳辐射的影响[J]. 高原气象, 2001, 20(3):264-270.]
doi: 10.3321/j.issn:1000-0534.2001.03.007
[4] Dan L, Chen J P, Pilewskie P, et al. Microphysical examination of excess cloud absorption in the tropical atmosphere[J]. Journal of Geophysical Research Atmospheres, 1996, 101(D12):16 961-16 972.
doi: 10.1029/96JD01154
[5] Ruckstuhl C, Philipona R, Morland J, et al. Observed relationship between surface specific humidity, integrated water vapor, and longwave downward radiation at different altitudes[J]. Journal of Geophysical Research Atmospheres, 2007, 112(D3):599-608.
doi: 10.1029/2006JD007850
[6] Liu Xin, Liu Xiaoru, Ma Yaoming, et al. An analysis of diurnal variations of atmospheric features over the northern region of the himalayas in spring[J]. Advances in Earth Science, 2010, 25(8):836-843.[刘新, 刘晓汝, 马耀明,等. 喜马拉雅北部地区春季大气特征及日变化分析[J]. 地球科学进展, 2010, 25(8):836-843.]
[7] Li Xia,Zhang Lei, Cao Xianjie.Analysis of aerosol radiative properties and surface radiation characteristics over Lanzhou in the winter of 2008[J]. Journal of Lanzhou University (Natural Sciences),2010,46(5): 56-62.[李霞, 张镭, 曹贤洁. 2008年冬季兰州气溶胶辐射特性及地表辐射特征分析[J]. 兰州大学学报:自然科学版, 2010, 46(5):56-62.]
[8] Liepert B G. Observed reductions of surface solar radiation at sites in the United States and worldwide from 1961 to 1990[J]. Geophysical Research Letters, 2002, 29(10):61-1-61-4.
doi: 10.1029/2002GL014910
[9] Stjern C W, Kristjnsson J E, Hansen A W.Global dimming and global brightening-an analysis of surface radiation and cloud cover data in northern Europe[J]. International Journal of Climatology, 2010, 29(5):643-653.
doi: 10.1002/joc.1735
[10] Wang Xuefeng, Zhu Yong, Fan Lizhang, et al. Spatial temporal variations of solar global radiation in Yunnan Province during 1961-2007[J]. Advances in Climate Change Research, 2009, 5(1):29-34.[王学锋, 朱勇, 范立张,等. 1961—2007年云南太阳总辐射时空变化特征[J]. 气候变化研究进展, 2009, 5(1):29-34.]
[11] Yu Shanshan,Xin Xiaozhou,Liu Qinghuo.Comparison of atmospheric downward longwave radiation parameterizations[J]. Advances in Earth Science, 2011, 26(7):751-762.[余珊珊, 辛晓洲, 柳钦火. 大气下行长波辐射参数化模型的比较[J]. 地球科学进展, 2011, 26(7):751-762.]
doi: 10.11867/j.issn.1001-8166.2011.07.0751
[12] Zhao Jing.Enhanced shortwave radiative transfer model based on SBDART[J]. Journal of Remote Sensing, 2017,21(6): 853-863.[赵静. 基于SBDART模型的改进短波辐射传输模型[J]. 遥感学报, 2017,21(6): 853-863.]
[13] Pavolonis M J, Key J R, Wang X.Antarctic cloud radiative forcing at the surface estimated from the ISCCP D2 and AVHRR Polar Pathfinder data sets, 1985-1993[C]∥Geoscience and Remote Sensing Symposium, 2002. IGARSS’02. 2002 IEEE International. IEEE, 1996:3 237-3 239.
[14] Wang Yi.The Development of the Earth Observation System and Its Main Applications[M].Beijing: Meteorological Press,2006.[王毅. 国际新一代对地观测系统的发展及其主要应用[M]. 北京:气象出版社, 2006.]
[15] Saunders R W, Kriebel K T.An improved method for detecting clear sky and cloudy radiances from AVHRR data[J]. International Journal of Remote Sensing, 1988, 9(1):123-150.
doi: 10.1080/01431168808954841
[16] Li W, Li D. The universal cloud detection algorithm of MODIS data[C]∥Geoinformatics2006: Remotely Sensed Data and Information. International Society for Optics and Photonics, 2006:64190F-64190F-6.
[17] Chen Zhenwei,Zhang Gou,Ning Jinsheng, et al. An automatic cloud detection method for ZY-3 satellite[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(3): 292-300.[陈振炜, 张过, 宁津生,等. 资源三号测绘卫星自动云检测[J]. 测绘学报, 2015, 44(3):292-300.]
doi: 10.11947/j.AGCS.2015.20130384
[18] Hagolle O, Huc M, Pascual D V, et al. A multi-temporal method for cloud detection, applied to FORMOSAT-2, VENμS, LANDSAT and SENTINEL-2 images[J]. Remote Sensing of Environment, 2010, 114(8):1 747-1 755.
doi: 10.1016/j.rse.2010.03.002
[19] Irish R R, Barker J L, Goward S N, et al. Characterization of the Landsat-7 ETM+ Automated Cloud-Cover Assessment (ACCA) Algorithm[J]. Photogrammetric Engineering & Remote Sensing, 2006, 72(10): 1 179-1 188.
doi: 10.14358/PERS.72.10.1179
[20] Liu Jian, Cui Peng, Xiao Meng.The bias analysis of FY-2G cloud fraction in summer and winter[J]. Journal of Applied Meteorological Sciende, 2017, 28(2):177-188.[刘健, 崔鹏, 肖萌. FY-2G卫星冬夏云量产品偏差分析[J]. 应用气象学报, 2017, 28(2):177-188.]
[21] Ding Shouguo, Shi Guangyu, Zhao Chunsheng.Using ISCCP D2 data to analyze the change of cloud cover and its possible impacts on climate in recent 20 years in the world[J]. Chinese Science Bulletin, 2004, 49(11):1 105-1 111.[丁守国, 石广玉, 赵春生. 利用ISCCP D2资料分析近20年全球不同云类云量的变化及其对气候可能的影响[J]. 科学通报, 2004, 49(11):1 105-1 111.]
doi: 10.3321/j.issn:0023-074X.2004.11.016
[22] Li Guo,Kong Xianghao,Liu Fengjing, et al. GF-4 satellite remote sensing technology innovation[J]. Spacecraft Recovery & Remote Sensing, 2016, 37(4):7-15.[李果, 孔祥皓, 刘凤晶,等. “高分四号”卫星遥感技术创新[J]. 航天返回与遥感, 2016, 37(4):7-15.]
doi: 10.3969/j.issn.1009-8518.2016.04.002
[23] Griggin M, Burke H, Mandl D, et al. Cloud cover detection algorithm for EO-1 Hyperion imagery[C]∥Geoscience and Remote Sensing Symposium. IGARSS’03. Proceedings. IEEE International. Toulouse, France, 2003.
[24] Wen Tao, He Mingyuan, Zhao Zengliang, et al. Research on cloud detection method based on GMS-5 satellite data[J]. Infrared,2016, 37(2):29-35.[文韬, 何明元, 赵增亮,等. 基于GMS-5卫星资料的云检测方法研究[J]. 红外, 2016, 37(2):29-35.]
doi: 10.3969/j.issn.1672-8785.2016.02.005
[25] Feng Shuyi, Zhang Ning, Shen Ji, et al. Method of cloud detection with hyperspectral remote sensing image based on the reflective characteristics[J]. Chinese Optics, 2015, 8(2):198-204.[冯书谊, 张宁, 沈霁,等. 基于反射率特性的高光谱遥感图像云检测方法研究[J]. 中国光学, 2015, 8(2):198-204.]
doi: 10.3788/CO.20150802.0198
[26] Yang Changjun, Xu Jianmin,Zhao Fengsheng.Application of time series in FY-2C cloud detection[J]. Journal of Atmospheric and Environmental Optics,2008,3(5): 377-391.[杨昌军, 许健民, 赵凤生. 时间序列在FY2C云检测中的应用[J]. 大气与环境光学学报, 2008, 3(5):377-391.]
[27] Ricchiazzi P, Yang S, Gautier C, et al. SBDART: A research and teaching software tool for plane-parallel radiative transfer in the Earth’s atmosphere[J]. Bulletin of the American Meteorological Society, 1998, 79(10):2 101-2 114.
doi: 10.1175/1520-0477(1998)0792.0.CO;2
[28] Sun Zhi’an, Liu Jingmiao,Zeng Xianning, et al. Estimation of global and net solar radiation at the Earth surface under cloudy-sky condition[J]. Journal of Meteorology and Environment,2014, 30(3):1-9.[孙治安, 刘晶淼, 曾宪宁,等. 云天地表总辐射和净辐射瞬时值的计算方法[J]. 气象与环境学报, 2014, 30(3):1-9.]
doi: 10.3969/j.issn.1673-503X.2014.03.001
[1] 王根, 张华, 杨寅. 高光谱大气红外探测器AIRS资料质量控制研究进展[J]. 地球科学进展, 2017, 32(2): 139-150.
[2] 刘旸,蔡波,班显秀,袁健,耿树江,赵姝慧,李帅彬. AIRS红外高光谱资料反演大气水汽廓线研究进展[J]. 地球科学进展, 2013, 28(8): 890-896.
[3] 詹奕哲,王振会,官莉, 张蕾. 卫星导风在台风路径预报中的应用进展[J]. 地球科学进展, 2011, 26(4): 386-393.