共查询到19条相似文献，搜索用时 109 毫秒
1.
本文将TMI（Tropical Rainfall Measuring Mission （TRMM）Microwave Imager）和AMSR-E（Advanced Microwave Scanning Radiometer for the Earth Observing System）卫星观测的全球海表温度与Argo浮标观测的近海表温度进行了比较。并检验了影响海温变化的因素，包括风速、水汽含量、液态云和地理位置。结果显示，TMI、AMSR-E海表温度与Argo近海表温度均明显相关。在低风速时，TMI、AMSR-E海表温度整体比Argo近海表温度高。在低风速时，TMI比AMSR-E海表温度更接近Argo近海表温度，但TMI海表温度在高纬可能没有经过良好校正。温度差异显示，在低水汽含量时，TMI和AMSR-E海表温度显示出暖的差异，代表TMI和AMSR-E海表温度在高纬均没有经过良好校正。黑潮延伸区的海表温度变化要比海潮区明显。春季在黑潮延伸区，卫星观测的海表温度与Argo近海表温度差异较小。在低风速时，TMI和AMSR-E海表温度均经过了良好校正，而TMI比AMSR-E效果更好。 相似文献
2.
红外和微波辐射计反演海表面温度的比较 总被引：1，自引：0，他引：1
介绍了红外辐射计和微波辐射计测量海表面温度的原理,分析了它们各自在反演海表面温度时的差异。在全球范围的海表面温度的遥感监测中,红外辐射计和微波辐射计的遥感精度受到多种因素影响。传感器本身的噪音、算法反演精度、传感器分辨率、搭载卫星的全球覆盖率等自身因素使辐射计的探测资料产生差别;大气状况、海面风速、测量海洋不同深度海水的表征温度等外界因子也同时影响着红外辐射计和微波辐射计的遥感精度。了解红外波段和微波波段的辐射计在各方面的优劣,有助于发挥各自特长,有效提高卫星监测海表面温度的精度。 相似文献
3.
介绍了红外辐射计和微波辐射计测量海表面温度的原理，分析了它们各自在反演海表面温度时的差异。在全球范围的海表面温度的遥感蛉测中，红外辐射计和微波辐射计的遥感精度受到多种因素影响。传感器本身的噪音、算法反演精度、传感器分辨率、搭载卫星的全球覆盖率等自身因素使辐射计的探测资料产生差别：大气状况、海面风速、测量海洋不同深度海水的表征温度等外界因子也同时影响着红外辐射计和微波辐射计的遥感精度。了解红外波段和微波波段的辐射计在各方面的优劣，有助于发挥各自特长，有效提高卫星监测海表面温度的精度。 相似文献
4.
鉴于台风等极端海洋环境下现场观测资料的匮乏，本文综合了多源卫星遥感和Argo浮标剖面观测资料分析了西北太平洋和南海上层海洋对超强台风Tembin（2012）的响应。Tembin引起了较强的海表面温度降低，降温主要集中在台风路径附近，最大降温为10.3℃，出现在朝鲜半岛南部的近岸海区；微波+红外遥感融合观测海表面温度数据可以弥补单一微波遥感观测在近岸海区缺测的不足，但观测海表面降温比单一微波遥感观测偏小；基于Argo观测的垂向高分辨率温盐剖面和混合参数化方法，发现台风后上层海洋混合明显增强，其混合率增强可达10倍以上。 相似文献
5.
西北太平洋海表温度融合产品交叉比对分析 总被引：2，自引：0，他引：2
海表温度产品是研究全球海洋大气系统的重要数据源，在海洋相关领域的研究和应用方面具有重要价值。以西北太平洋海域为研究区域，本文对2007-2014年的3个海表温度融合数据（AVHRR OISST，MISST和OSTIA）的产品特性与Argo浮标进行了真实性检验，并对融合产品进行了交叉比对分析。结果表明，3个融合产品在空间尺度上均能反映西北太平洋海域的海表温度变化趋势。融合数据与Argo浮标的平均偏差在±0.1℃之间，均方根误差小于0.9℃。融合数据与浮标数据存在明显的季节性变化，其中冬季融合数据与浮标数据的平均偏差和均方根误差较小。在高纬海域，融合产品和浮标存在正偏差。与另两个融合产品相比，OSTIA的数据质量与Argo浮标最为接近。3个融合产品在近岸和高纬海域差异较大，三者对海冰的标识和处理方式不同对融合结果也有影响。在2012年6月之前MISST和OSTIA的海表温度数据质量更为接近，但在此之后MISST存在系统误差。红外数据、微波数据和实测数据作为输入数据，是制作高时空分辨率高精度海表温度融合产品必不可少的要素。 相似文献
6.
漂流式海气界面浮标是创新研制的“小型化、轻质化、免维护”的漂流观测系统,能够测量海面以上3 m气象、水下20 cm海表面温度和波浪参数等11个不同的物理参数,并且已经经过多次观测应用,结果均较好。为实现漂流式海气界面浮标观测数据全球范围的应用,利用2018年黑潮延伸体海域Argo观测的海表面温度(sea surface temperature, SST)、SVP (surface velocity program)浮标观测的海表温度和OISST (optimum interpolation sea surface temperature)数据,通过将其与漂流式海气界面浮标观测数据进行时空匹配以及对比验证,对漂流式海气界面浮标观测的海表面温度进行了系统评估,检验其在黑潮延伸体复杂水文环境下的观测准确性。结果表明,漂流式海气界面浮标观测SST数据与Argo观测SST数据相关系数达到0.9737,均方根误差和平均误差分别为0.5790°C和0.4539°C;与SVP浮标SST数据的相关系数弱于与Argo的相关系数,为0.9285,均方根误差为1.323 0°C,平均误差约为0.979 4°C... 相似文献
7.
海表温度产品是研究全球海洋大气系统的重要数据源,在海洋相关领域的研究和应用方面具有重要价值。以西北太平洋海域为研究区域,本文对2013年和2014年3个微波辐射计海表温度产品(AMSR-2,TMI和WindSat)的产品特性和Argo浮标进行了真实性检验,并对3个传感器数据进行了交叉比对分析,具体涉及海表温度分布、温度梯度分布、观测点分布、匹配点分布、平均偏差分布、均方根误差分布、统计分析结果的逐月演变和海表温度误差棒分析。结果表明,3个微波辐射计在空间尺度上都能比较一致地反映西北太平洋海域的海表温度变化趋势。但遥感数据与浮标数据却存在季节性变化和昼夜差异,其中冬季微波数据与浮标数据的平均偏差和均方根误差较小,降轨数据与浮标数据的结果更接近。AMSR-2的海表温度数据质量比TMI和WindSat的海表温度数据更接近Argo数据。相比于WindSat和TMI,AMSR-2和TMI的海表温度数据质量更为接近,但是由于受到近岸陆地信号干扰,AMSR-2和TMI离岸100 km以内海域的数据应当慎用。 相似文献
8.
微波辐射传输方程是海洋-大气微波遥感的理论基础,本文基于晴空条件下AMSR-E 10.7GHz水平与垂直极化亮温数据,将平静海面的亮温观测结果与4种海水相对电容率模型和2种大气水汽吸收模型的计算结果进行比较,确定了海水相对电容率模型与水汽吸收模型,基于上述模型和实测亮温数据反演了风致各项同性海面发射率,其与已有的经验模型结果基本一致,由此建立了星载微波辐射传输模型;利用建立的辐射传输模型计算亮温与AMSR-E观测亮温分别反演了海表面温度与海表面风速,验证了所建微波传输模型的有效性。本文的研究结果可为星载微波辐射计亮温定标、海洋地球物理参数提取奠定基础。 相似文献
9.
基于Himawari-8卫星的逐时次海表温度融合 总被引：1，自引：0，他引：1
Himawari-8卫星是日本气象厅发射的新一代地球同步静止气象卫星,为获取逐时次海表温度产品提供了有力数据支持。本文以Himawari-8 AHI海表温度为基础,利用最优插值法融合GCOM-W1 AMSR2海表温度和NERA-GOOS现场观测资料,生成逐时次海表温度融合产品。为了充分利用邻近时刻的海表温度观测资料,利用Himawari-8 AHI海表温度和欧洲中期天气预报中心海面风速数据建立匹配数据集,研究建立海表温度日变化模型,实现邻近时刻海表温度的订正;为了消除多源海表温度间的系统偏差,以Himawari-8 AHI海表温度为目标数据,利用泊松方程对GCOM-W1 AMSR2海表温度进行偏差订正。实验验证结果表明,利用逐时次海表温度融合产品计算的日增温情况与海面风速具有较好的相关性,间接证实了逐时次海表温度融合产品的准确性;另外,逐时次海表温度融合产品与现场观测海表温度的偏差为0.09℃、均方根误差为0.89℃,二者具有较好的一致性,说明逐时次海表温度融合产品具有较高的精度。 相似文献
10.
利用南极走航观测评估卫星遥感海表面温度 总被引：3，自引：1，他引：2
利用1989-2005年间南极走航观测的海表面温度,对目前3个主要的卫星反演的SST产品AVHRR(Advanced Very High Resolution Radiometer),TMI(TRMM Microwave Imager)和AMSR-E(Advanced Microwave Scanning Radiometer for the Earth Observing System)进行了较为系统的评估,并着重检验了它们在南大洋的准确性.结果表明,AVHRR SST比观测数据偏冷,白天的偏差为-0.12℃,夜晚的偏差为-0.04℃,而且南大洋的冷偏差更为显著.TMI SST比观测数据明显偏暖,白天的偏差为0.48℃,夜晚的偏差为0.57℃,其温差ΔT受37GHz风速影响,在强风速(>6m/s)下这种影响仍然存在.AMSR-ESST比观测数据偏暖,白天的偏差为0.34℃,夜晚的偏差为0.27℃,而且南大洋的暖偏差相对较大.AMSR-E SST温差受水汽影响,并在南大洋随着水汽的增加而增加.通过进一步比较微波(AMSR-E和TMI)和红外(AVHRR)遥感的SST在2004年北半球冬季(即南半球夏季)的差别,发现微波遥感在热带(15°S-15°N)和南大洋区域(45°S以南)比红外遥感偏暖,而且在南大洋区域的偏差相对较大,相反在北半球中纬度区域(15°~40°N)偏冷.AMSR-E与AVHRR SST的温差,从白天到夜晚有减小的趋势,而TMI与AVHRR SST的温差无明显的变化. 相似文献
11.
东、黄海SST与850hPa气温季节变化关系的SVD分析 总被引：2，自引：0，他引：2
利用1998~2004年的热带降雨测量卫星的卫星遥感海表面温度(SST)数据以及美国NO-AA/NCEP再分析产品的850 hPa气温数据,采用EOF分析方法,分析了850 hPa气温的季节内变化特征,运用奇异值分解(SVD)分析方法对东、黄海SST与850 hPa气温季节内变化的相关关系进行了分析。对850 hPa气温季节内变化的EOF分析结果表明,EOF分析获得的前4个模态的累积方差贡献率为86.51%,其中EOF的第一模态的方差贡献率占44.49%,其空间模态呈现出明显的东南海域为正值、西北海域为负值的反相分布特征,这一模态的显著变化周期为6.6周(约46 d)和2.8周(约19 d)。SVD分析结果表明,第一对模态的协方差解释率为83.6%,基本上能体现出SST温度场与850 hPa气温场季节变化的特征,其空间分布型表明,东海北部以及黄海近岸等海区SST季节变化与30°N以南的东海海区850 hPa气温的季节振荡存在显著的正相关关系,SVD第一对模态空间分布型时间系数之间的相关系数达到0.29。 相似文献
12.
Sea surface temperature SST obtained from the initial version of the Korea Operational Oceanographic System(KOOS) SST satellite have low accuracy during summer and daytime. This is attributed to the diurnal warming effect. Error estimation of SST data must be carried out to use the real-time forecasting numerical model of the KOOS. This study suggests two quality control methods for the KOOS SST system. To minimize the diurnal warming effect, SSTs of areas where wind speed is higher than 5 m/s were used. Depending on the wind threshold value, KOOS SST data for August 2014 were reduced by 0.15°C. Errors in SST data are considered to be a combination of random, sampling, and bias errors. To estimate bias error, the standard deviation of bias between KOOS SSTs and climatology SSTs were used. KOOS SST data yielded an analysis error standard deviation value similar to OSTIA and NOAA NCDC(OISST) data. The KOOS SST shows lower random and sampling errors with increasing number of observations using six satellite datasets. In further studies, the proposed quality control methods for the KOOS SST system will be applied through more long-term case studies and comparisons with other SST systems. 相似文献
13.
六种遥感海表温度产品的比对分析 总被引：5，自引：3，他引：2
海表温度(sea surface temperature, SST)产品是研究全球海洋大气系统的重要数据源, 在海洋相关领域的研究和应用方面具有重要价值。对2007年1和7月的六种不同SST产品(AVHRR-only, AMSR+AVHRR, NCODA, RSS, RTG-HR和OSTIA)在南大洋阿古拉斯回流(Agulhas Return Current, ARC)与绕极环流交汇区域的产品特性进行了比对统计分析, 包括SST分析、SST梯度分析、统计参数分析和波数谱分析。分析结果表明产品之间SST时空变化分布的整体趋势一致, RTG-HR在空间分布上过于平滑, OSTIA解析的大洋锋面最弱, RSS包含噪声较多, NCODA相对其他产品存在较大偏差。发现在AVHRR数据的覆盖率较好的情况下与以红外数据构建的AVHRR-only相比, AMSR数据并不能提供更多的SST信息, 反而会降低产品的空间解析能力。 相似文献
14.
OSTIA数据在中国近海业务化环流模型中的同化应用 总被引：3，自引：0，他引：3
The prediction of sea surface temperature(SST) is an essential task for an operational ocean circulation model. A sea surface heat flux, an initial temperature field, and boundary conditions directly affect the accuracy of a SST simulation. Here two quick and convenient data assimilation methods are employed to improve the SST simulation in the domain of the Bohai Sea, the Yellow Sea and the East China Sea(BYECS). One is based on a surface net heat flux correction, named as Qcorrection(QC), which nudges the flux correction to the model equation; the other is ensemble optimal interpolation(En OI), which optimizes the model initial field. Based on such two methods, the SST data obtained from the operational SST and sea ice analysis(OSTIA) system are assimilated into an operational circulation model for the coastal seas of China. The results of the simulated SST based on four experiments, in 2011, have been analyzed. By comparing with the OSTIA SST, the domain averaged root mean square error(RMSE) of the four experiments is 1.74, 1.16, 1.30 and 0.91°C, respectively; the improvements of assimilation experiments Exps 2, 3 and 4 are about 33.3%, 25.3%, and 47.7%, respectively.Although both two methods are effective in assimilating the SST, the En OI shows more advantages than the QC,and the best result is achieved when the two methods are combined. Comparing with the observational data from coastal buoy stations, show that assimilating the high-resolution satellite SST products can effectively improve the SST prediction skill in coastal regions. 相似文献
15.
In the previous study, merged sea surface temperature (SST) dataset called “New Generation SST” has been produced from several
infrared and microwave satellite SSTs through an objective mapping. Here we examine the merged SST by comparison with moored
buoy SST at 1 m depth, which is treated as true sea surface temperature. Comparison between wavelet spectra of merged and
buoy SSTs shows that the former have larger amplitudes than those of the latter, which is partly explained as an aliasing
effect due to TRMM Microwave Imager (TMI) aboard Tropical Rainfall Measuring Mission (TRMM) sampling on merged products. Coherency
between wavelet-decomposed merged and buoy SSTs has high values in autumn and low ones in winter to spring. In winter, phase
differences between them are positive, meaning that wavelet components of merged SST lag those of buoy SST. Reasons for delay
and low coherency are: (1) seasonal components of merged SSTs are strongly affected by a lack of infrared SSTs due to clouds
in winter, and (2) small-scale oceanic features, undetectable by coarse-resolution microwave SSTs, are blurred by the merging
process. Improvements of merging methodology are discussed with regard to present study results. 相似文献
16.
Eun Jin Kim Sok Kuh Kang Sung-Tae Jang Jae Hak Lee Young Ho Kim Hyoun-Woo Kang Yeong Yeon Kwon Young Ho Seung 《Ocean Science Journal》2010,45(3):159-170
Satellite-derived sea surface temperature (SST) is validated based on in-situ data from the East China Sea (ECS) and western North Pacific where most typhoons, which make landfall on the Korean peninsula, are formed and pass. While forecasting typhoons in terms of intensity and track, coupled ocean-typhoon models are significantly influenced by initial ocean condition. Potentially, satellite-derived SST is a very useful dataset to obtain initial ocean field because of its wide spatial coverage and high temporal resolution. In this study, satellite-derived SST from various sources such as Tropical Rainfall Measuring Mission Microwave Imager (TMI), Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) and New Generation Sea Surface Temperature for Open Ocean (NGSST-O) datasets from merged SSTs were compared with in-situ observation data using an indirect method which is using near surface temperature for validation of satellite derived SST. In-situ observation data included shipboard measurements such as Expendable Bathythermograph (XBT), and Conductivity, Temperature, Depth (CTD), and Argo buoy data. This study shows that in-situ data can be used for microwave derived SST validation because homogeneous features of seawater prevail at water depths of 2 m to 10 m under favorable wind conditions during the summer season in the East China Sea. As a result of validation, root-mean-square errors (RMSEs) are shown to be 0.55 °C between microwave SST and XBT/CTD data mostly under weak wind conditions, and 0.7 °C between XBT/CTD measurement and NGSST-O data. Microwave SST RMSE of 0.55 °C is a potentially valuable data source for general application. Change of SST before and after typhoon passing may imply strength of ocean mixing due to upwelling and turbulent mixing driven by the typhoon. Based on SST change, ocean mixing, driven by Typhoon Nari, was examined. Satellite-derived SST reveals a significant SST drop around the track immediately following the passing of Typhoon Nari in October, 2007. 相似文献
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18.
3套不同的SST再分析数据与中国近海浮标观测的对比研究 总被引：1，自引：0，他引：1
基于自然资源部浮标数据，通过分析均值差、均方根误差、相关系数和标准差偏差4个统计量，检验了2018年7月1日至8月6日全时段及该时段内3个台风（1808号台风“玛利亚”、1810号台风“安比”、1812号台风“云雀”）过境期间，3套海表面温度（Sea Surface Temperature，SST）再分析资料（OISST、OSTIA SST、RTG SST）在中国近海区域的可靠性。对比结果表明，在全时段内，3套SST再分析资料都能在一定程度上反映中国近海SST的基本状况，其中OSTIA SST资料同浮标实测SST数据的均值差为0.12℃、相关系数为0.94，均优于OISST资料（均值差为–0.85℃、相关系数为0.90）和RTG SST资料（均值差为–0.17℃、相关系数为0.86）。通过对比单个浮标数据发现，相较约80%的MF浮标实测SST数据，OSTIA SST资料都显著优于RTG SST资料和OISST资料，具有较高的可信度。在台风过境期间，较之RTG SST资料和OISST资料，OSTIA SST资料同大部分浮标实测数据的均值差绝对值及均方根误差更小、相关系数更大，表明在高海况条件下，OSTIA SST资料能更真实地反映中国近海SST的基本状况。 相似文献
19.
To investigate the feasibility and methodology of new generation sea surface temperature (SST) maps that combine various satellite
measurements, we have quantitatively evaluated SST availabilities of NOAA AVHRR (National Oceanic and Atmospheric Administration,
Advanced Very High Resolution Radiometer), GMS S-VISSR (Geostationary Meteorological Satellite, Stretched-Visible Infrared
Spin Scan Radiometer) and TRMM MI (Tropical Rainfall Measuring Mission, Microwave Imager: TMI), during the one-year period
from October 1999 to September 2000. The advantage of satellite microwave SST measurements is the ability to penetrate the
clouds that contaminate satellite infrared measurements. Daily SST availabilities were calculated in the overlapping coverage
from 20°N to 38°N and 120°E to 160°E. The annual-mean SST availabilities of AVHRR, S-VISSR and TMI are 48%, 56% and 78%, respectively.
There are large seasonal variations in the availabilities of infrared measurements. The latitude-time plots of one-degree
zonal mean SST availabilities of S-VISSR and TMI in the region from 38°S to 38°N and 80°E to 160°W show significant zonal
variations, which are influenced by the atmospheric circulation such as the Subtropical High and the Intertropical Convergence
Zone. The SST availabilities of S-VISSR and TMI in the five selected regions have large regional variations, ranging from
35% to 74% and 62% to 88% for S-VISSR and TMI, respectively. The present statistical analyses of SST availabilities in the
infrared and microwave measurements indicate that 1) a daily cloud-free high-spatial resolution may be achieved by merging
various SST measurements since their deficiencies compensate each other, and 2) nevertheless, it is necessary to take account
of the seasonal and regional variations of SST availabilities of different satellite sensors for the development of merging
technology.
This revised version was published online in July 2006 with corrections to the Cover Date. 相似文献