2012—2016年可见光红外成像辐射仪(VIIRS)海表面温度产品精度检验分析
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摘要
本研究以2012—2016年5 a间的可见光红外成像辐射仪(VIIRS)海表面温度(SST)产品为研究对象,利用Argo浮标为主要验证数据、MODIS Terra和MODIS Aqua SST为辅助验证数据,从时间尺度和空间尺度进行检验对比分析,结果表明:VIIRS SST与Argo浮标白天的平均偏差为-0. 015 5℃,标准偏差为0. 514 0℃;夜间平均偏差是-0. 221 4℃,标准偏差是0. 418 9℃,白天平均偏差较夜间更接近Argo浮标的观测结果; VIIRS SST在白天和夜间偏差均是夏季大于冬季;白天VIIRS SST在近赤道太平洋海域、近赤道印度洋海域要高于浮标观测的海温,夜间这些地区总体要低于浮标值,白天和夜间标准偏差空间分布差异较小;与MODIS Terra和MODIS Aqua SST月平均偏差对比显示,夏季在南半球VIIRS较MODIS Terra SST偏暖强度减弱,冬季VIIRS较MODIS Terra SST在北半球中高纬度海域偏冷;夏季部分海域VIIRS SST较MODIS Aqua偏低,冬季则是大部分海域VIIRS低于MODIS Aqua SST。
This study takes the VIIRS sea surface temperature( SST) products from 2012 to 2016 as the object.The data from Argo buoys was taken as main verification and from MODIS Terra and MODIS Aqua as auxiliary verification while the time scale and space scale was used as controls. Results show that VIIRS SST has a mean bias of -0. 015 5℃ and standard deviation of 0. 514 0°C during daytime and has a mean bias of-0. 221 4℃ and standard deviation of 0. 418 9℃ during nighttime. Mean bias of VIIRS SST at daytime is closer to the Argo buoy observations than that at nighttime. VIIRS SST has seasonal variation both at daytime and nighttime and its mean bias in summer is greater than that in winter. During daytime,VIIRS SST is higher in the equatorial Pacific Ocean and near the equatorial Indian Ocean than Argo buoys. At nighttime,it is generally lower than that of buoys,and there is little difference in the spatial distribution of standard deviations during daytime and nighttime. Compared with monthly mean deviation of MODIS Terra and MODIS Aqua SST products,VIIRS SST in summer is lower than MODIS Terra SST in the southern hemisphere while in winter it is also lower than MODIS Terra SST in the mid-high latitudes of the northern hemisphere. VIIRS SST is lower than MODIS Aqua SST in some areas of summer and in most areas of winter.
This study takes the VIIRS sea surface temperature( SST) products from 2012 to 2016 as the object.The data from Argo buoys was taken as main verification and from MODIS Terra and MODIS Aqua as auxiliary verification while the time scale and space scale was used as controls. Results show that VIIRS SST has a mean bias of -0. 015 5℃ and standard deviation of 0. 514 0°C during daytime and has a mean bias of-0. 221 4℃ and standard deviation of 0. 418 9℃ during nighttime. Mean bias of VIIRS SST at daytime is closer to the Argo buoy observations than that at nighttime. VIIRS SST has seasonal variation both at daytime and nighttime and its mean bias in summer is greater than that in winter. During daytime,VIIRS SST is higher in the equatorial Pacific Ocean and near the equatorial Indian Ocean than Argo buoys. At nighttime,it is generally lower than that of buoys,and there is little difference in the spatial distribution of standard deviations during daytime and nighttime. Compared with monthly mean deviation of MODIS Terra and MODIS Aqua SST products,VIIRS SST in summer is lower than MODIS Terra SST in the southern hemisphere while in winter it is also lower than MODIS Terra SST in the mid-high latitudes of the northern hemisphere. VIIRS SST is lower than MODIS Aqua SST in some areas of summer and in most areas of winter.
引文
[1] GENTEMANN C L. Three way validation of MODIS and AMSR-E sea surface temperature[J]. Journal of Geophysical Research:Oceans,2014,119(4),2 583-2 598.
[2] ALVERA-AZCARATEl A,TROUPIN C,BARTH A,et al. Comparison between satellite and in situ sea surface temperature data in the Western Mediterranean Sea[J]. Ocean Dynamics,2011,61(6):767-778.
[3] DONLON C,CASEY K S,ROBINSON I S,et al. The GODAE high-resolution sea surface temperature pilot project[J]. Oceanography,2009,22(3):34-45.
[4] REYNOLDAS R W,RAYNER N A,SMITH T M,et al. An improved in Situ and satellite SST analysis for climate[J]. Journal of Climate,2002,15(2 002):1 609-1 625.
[5] REYNOLDAS R W,SMITH T M. Improved global sea surface temperature analyses using optimum interpolation[J]. Journal of Climate,1994,7(6):929-948.
[6]李明,刘骥平,张占海,等.利用南大洋漂流浮标数据评估AMSR-E SST[J].海洋学报,2010,32(6):47-55.
[7]朱恩泽,张雷,石汉青,等. 2004年—2013年Wind Sat海表面温度产品与浮标观测比[J].遥感学报,2016,20(2):315-327.
[8] OKURO A,KUBOTA M,TOMITA H,et al. Inter-comparison of various global sea surface temperature products[J]. International Journal of Remote Sensing,2014,35(14):5 394-5 410.
[9]奚萌,宋清涛,李文君,等.西北太平洋海表温度融合产品交叉比对分析[J].海洋学报,2017,39(12):136-151.
[10]奚萌,宋清涛,林明森,等.西北太平洋多源微波辐射计海表温度数据交叉比对分析[J].海洋学报,2016,38(7):32-47.
[11] MATHUR A K,AGARWAL V,PANDA T C. Validation of ERS-1/ATSR derived SST in Indian waters[J]. International Journal of Remote Sensing,2002,23(24):5 155-5 163.
[12] MARCELLO J,EUGENIO F,HERNANDEZ A. Validation of MODIS and AVHRR/3 sea surface temperature retrieval algorithms[J]. IEEE International Geoscience&Remote Sensing Symposium,2004:839-842.
[13] HOSODA K,MURAKAMI H,SAKAIDA F,et al. Algorithm and validation of sea surface temperature observation using MODIS sensors aboard terra and aqua in the western north pacific[J]. Journal of Oceanography,2007,63(2):267-280.
[14]孙凤琴,张彩云,商少平,等.西北太平洋部分海域AVHRR、TMI与MODIS遥感海表层温度的初步验证[J].厦门大学学报(自然科学版),2007,46(s1):1-5.
[15]奚萌,宋清涛,林明森,等.西北太平洋红外辐射计海表温度数据交叉比对分析[J].海洋与湖沼,2017,48(3):436-453.
[16]苏城林,苏林,陈良富,等. NPP VIIRS数据反演气溶胶光学厚度[J].遥感学报,2015,19(6):977-982.
[17] SCHUELER C F,LEE T F,MILLER S D. VIIRS constant spatial-resolution advantages[J]. International Journal of Remote Sensing,2013,34(16):5 761-5 777.
[18] WALTON C C,PICHEL W G,SAPPER J F,et al. The development and operational application of nonlinear algorithms for the measurement of sea surface temperatures with the NOAA polar-orbiting environmental satellites[J]. Journal of Geophysical Research,1998,103(C12):27 999-28 012.
[19]朱伯康,许建平.热带太平洋海域的Argo浮标计划[J].海洋技术学报,2001,20(3):6-8.
[20]卢少磊,许建平,刘增宏.南半球微波遥感SST与Argo浮标NST的异同分析[J].海洋预报,2014,31(1):1-8.
[21] SCHLUESSEL P,EMERY W J,GRASSL H,et al. On the bulk skin temperature difference and its impact on Satellite remote sensing of sea surface temperature[J]. Journal of Geophysical Research,1990,95(C8):13 341-13 356.
[22]李娜,孙凤琴,张彩云,等.台湾海峡及其邻近海域AVHRR遥感SST的初步验证[J].厦门大学学报(自然科学版),2006,45(3):383-387.
[23] KILPATRICK K A. Overview of the NOAA/NASA advanced very high resolution radiometer Pathfinder algorithm for sea surface temperature and associated matchup database[J]. Journal of Geophysical Research,2001,106(C5):9 179-9 197.
[2] ALVERA-AZCARATEl A,TROUPIN C,BARTH A,et al. Comparison between satellite and in situ sea surface temperature data in the Western Mediterranean Sea[J]. Ocean Dynamics,2011,61(6):767-778.
[3] DONLON C,CASEY K S,ROBINSON I S,et al. The GODAE high-resolution sea surface temperature pilot project[J]. Oceanography,2009,22(3):34-45.
[4] REYNOLDAS R W,RAYNER N A,SMITH T M,et al. An improved in Situ and satellite SST analysis for climate[J]. Journal of Climate,2002,15(2 002):1 609-1 625.
[5] REYNOLDAS R W,SMITH T M. Improved global sea surface temperature analyses using optimum interpolation[J]. Journal of Climate,1994,7(6):929-948.
[6]李明,刘骥平,张占海,等.利用南大洋漂流浮标数据评估AMSR-E SST[J].海洋学报,2010,32(6):47-55.
[7]朱恩泽,张雷,石汉青,等. 2004年—2013年Wind Sat海表面温度产品与浮标观测比[J].遥感学报,2016,20(2):315-327.
[8] OKURO A,KUBOTA M,TOMITA H,et al. Inter-comparison of various global sea surface temperature products[J]. International Journal of Remote Sensing,2014,35(14):5 394-5 410.
[9]奚萌,宋清涛,李文君,等.西北太平洋海表温度融合产品交叉比对分析[J].海洋学报,2017,39(12):136-151.
[10]奚萌,宋清涛,林明森,等.西北太平洋多源微波辐射计海表温度数据交叉比对分析[J].海洋学报,2016,38(7):32-47.
[11] MATHUR A K,AGARWAL V,PANDA T C. Validation of ERS-1/ATSR derived SST in Indian waters[J]. International Journal of Remote Sensing,2002,23(24):5 155-5 163.
[12] MARCELLO J,EUGENIO F,HERNANDEZ A. Validation of MODIS and AVHRR/3 sea surface temperature retrieval algorithms[J]. IEEE International Geoscience&Remote Sensing Symposium,2004:839-842.
[13] HOSODA K,MURAKAMI H,SAKAIDA F,et al. Algorithm and validation of sea surface temperature observation using MODIS sensors aboard terra and aqua in the western north pacific[J]. Journal of Oceanography,2007,63(2):267-280.
[14]孙凤琴,张彩云,商少平,等.西北太平洋部分海域AVHRR、TMI与MODIS遥感海表层温度的初步验证[J].厦门大学学报(自然科学版),2007,46(s1):1-5.
[15]奚萌,宋清涛,林明森,等.西北太平洋红外辐射计海表温度数据交叉比对分析[J].海洋与湖沼,2017,48(3):436-453.
[16]苏城林,苏林,陈良富,等. NPP VIIRS数据反演气溶胶光学厚度[J].遥感学报,2015,19(6):977-982.
[17] SCHUELER C F,LEE T F,MILLER S D. VIIRS constant spatial-resolution advantages[J]. International Journal of Remote Sensing,2013,34(16):5 761-5 777.
[18] WALTON C C,PICHEL W G,SAPPER J F,et al. The development and operational application of nonlinear algorithms for the measurement of sea surface temperatures with the NOAA polar-orbiting environmental satellites[J]. Journal of Geophysical Research,1998,103(C12):27 999-28 012.
[19]朱伯康,许建平.热带太平洋海域的Argo浮标计划[J].海洋技术学报,2001,20(3):6-8.
[20]卢少磊,许建平,刘增宏.南半球微波遥感SST与Argo浮标NST的异同分析[J].海洋预报,2014,31(1):1-8.
[21] SCHLUESSEL P,EMERY W J,GRASSL H,et al. On the bulk skin temperature difference and its impact on Satellite remote sensing of sea surface temperature[J]. Journal of Geophysical Research,1990,95(C8):13 341-13 356.
[22]李娜,孙凤琴,张彩云,等.台湾海峡及其邻近海域AVHRR遥感SST的初步验证[J].厦门大学学报(自然科学版),2006,45(3):383-387.
[23] KILPATRICK K A. Overview of the NOAA/NASA advanced very high resolution radiometer Pathfinder algorithm for sea surface temperature and associated matchup database[J]. Journal of Geophysical Research,2001,106(C5):9 179-9 197.
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