共查询到20条相似文献，搜索用时 93 毫秒
1.
针对FY-3B卫星微波湿度计MWHS资料采用双权重算法进行质量控制的研究。选用2012年7月3号FY-3B微波湿度计MWHS HDF格式观测资料作为研究对象,采用双权重方法对观测资料直接进行质量控制,并统计质量控制前后均值的变化和剔除的离群值点占总观测的比例。质量控制分粗检验和离群值检验两步,目的是剔除离群资料。对于质量控制后的资料采用等效视数指标进行质量评价,并作出图表进行分析。结果表明,在采用双权重算法进行质量控制后,FY-3B MWHS通道3、4、5的观测资料的方差有所减小,而等效视数增加较为明显。由此可见,双权重算法除去异常资料的效果较为理想,能使MWHS资料得到较大改善。 相似文献
2.
为了能给国内的云导风产品在通道的选择和使用方法上提供一些新的参考,以2010年的“鲶鱼”台风为个例,通过对FY-2D云导风产品在WRF模式中的同化对比试验,分析比较了同化了云导风资料之后的台风路径和位势高度场、风场的变化。结果表明,同化之后台风路径的偏差水汽通道要远大于红外通道,随着积分时间的延长,红外通道数据的加入对模拟台风路径的订正作用比水汽通道显著;模式使用不同同化方案的模拟结果也有明显的差别,其中以每24小时一次冷启动的同化循环方案对台风路径有较准确的模拟,而在分析不同通道导风质量优劣方面,则以热循环同化方案最佳。 相似文献
3.
为了提高卫星资料在同化系统中使用率及验证同化卫星资料的预报效果,采用循环同化方案并通过江西2012年5月11~14日的暴雨个例进行验证。试验设计了风三卫星MWHS资料的循环同化双星资料方案和单时次同化单星资料方案,并对方案的运行结果进行了分析。结果表明,使用MWHS资料可以改进湿度场和涡度场。相比单时次同化单星MWHS资料,循环同化双星MWHS资料方案能更好地改善湿度场和动力场,模拟的降水落区和强度更接近实况,其TS评分最优。单时次同化单星MWHS资料,选用降水期间探测的卫星资料同化效果更优。 相似文献
4.
针对2011年7月3日四川地区一次强降雨过程,以NECP/NCAR 1°×1°再分析资料为背景场,采用中尺度数值天气预报模式WRF及其三维变分同化系统3DVAR,同时对多普勒天气雷达的径向速度和反射率因子进行了三维变分同化对暴雨模拟效果影响的研究.结果表明:同化了雷达资料后的初始场能够更加精细的刻画初始风场和水汽通量场的分布与数值,能展现出风场的辐合辐散区域,对水汽通量的中心位置有较大影响,大风速区域和水汽通量高值中心有较好的对应关系;同化了多普勒雷达资料后能较为明显的改变降雨落区及强度的预报精度,前6h有明显的改善作用,随着时间的增加改善作用逐渐减小,前9小时改进作用仍很明显,对比24小时实况降雨仍存在一定的改善作用;经过质量控制后的雷达资料对暴雨预报的改善作用要优于未进行质量控制的雷达资料以及每隔一小时加入一次雷达资料要优于每隔半小时加入雷达资料对于暴雨预报的改善作用. 相似文献
5.
应用多普勒天气雷达资料对四川“7·3”暴雨的变分同化试验 总被引：1，自引：0，他引：1
针对2011年7月3日四川地区一次强降雨过程,以NECP/NCAR l°×1°再分析资料为背景场,采用中尺度数值天气预报模式WRF及其三维变分同化系统3DVAR,同时对多普勒天气雷达的径向速度和反射率因子进行了三维变分同化对暴雨模拟效果影响的研究.结果表明:同化了雷达资料后的初始场能够更加精细的刻画初始风场和水汽通量场的分布与数值,能展现出风场的辐合辐散区域,对水汽通量的中心位置有较大影响,大风速区域和水汽通量高值中心有较好的对应关系;同化了多普勒雷达资料后能较为明显的改变降雨落区及强度的预报精度,前6h有明显的改善作用,随着时间的增加改善作用逐渐减小,前9小时改进作用仍很明显,对比24小时实况降雨仍存在一定的改善作用;经过质量控制后的雷达资料对暴雨预报的改善作用要优于未进行质量控制的雷达资料以及每隔一小时加入一次雷达资料要优于每隔半小时加入雷达资料对于暴雨预报的改善作用. 相似文献
6.
为了对大尺度暴雨天气过程的雷达资料四维变分同化效果进行验证,选取2013年6月29日至7月2日发生在川东遂宁地区的一次暴雨天气过程,使用WRF中尺度模式进行雷达资料的同化模拟试验,并使用模式输出进行诊断分析。结果表明,高时空分辨率的雷达资料使短时间窗口的四维变分同化成为可能。同化结果能很好地改善由地形和初始场误差等因素带来的模拟缺陷,模拟输出场能完整再现整个暴雨的发生发展过程。副高西南侧低空急流带来的海上水汽与南亚季风自南向北带来的水汽共同构成了本次过程稳定的水汽供应通道。中β尺度涡旋的不断生消交替形成了该次暴雨过程的3次降水阶段。垂直方向不稳定能量的快速累积,缓慢释放以及垂直方向强的水汽输送交换,是造成该次过程降水时间长,量级大的主要原因。 相似文献
7.
为研究中国FY-3A(风云三号A卫星)资料在数值模式中对暴雨模拟的作用,以2012年07月03日发生在四川盆地的一次暴雨过程为个例。利用WRF(V3.3)模式和三维变分同化系统WRF-3DVAR,对FY-3A的MWHS(微波湿度计)资料进行同化试验研究。研究结果表明:同化MWHS资料后,相比控制试验,(1)同化方案A在降水区出现+3K的正增量中心和+10%的正增量湿中心,改善了大气能量场和湿度场信息;(2)同化方案A提高了降水区垂直速度和涡度场的数值和分布位置,并较好的刻画出风场的辐合辐散区域和水汽通量高值中心,准确模拟出水汽通量的中心位置;(3)对此次暴雨个例试验研究,在中东部、东北部主降水区,同化方案A模拟降水区分布形式较好,尤其是降水强度得到较大提高降水值达230mm,非常接近实况降水值(227mm),同化MWHS资料可以较好提高WRF模式降水预报能力。 相似文献
8.
中尺度MM4模式及其伴随模式 总被引：2，自引：0，他引：2
伴随方法是以数值天气预报的动力模作为约束条件的变分方法，相对传统的资料同化方法有很大的进步。介绍美国NCAR的中尺度MM4模式人它的伴随模式MAMSA1，它以一个有限区域的中尺度非线性预的模式模式为基础，采用伴随模式地其进行资料同化和预报。 相似文献
9.
利用NCEP再分析资料为背景场及常规的探空资料和地面资料,以2005年6月2日出现在黄海海域的大气波导为例,运用中尺度数值模式MM5,设计了2种初始场不同的数值模拟试验:1)NCEP资料;2)NCEP资料和常规探空资料。研究结果表明:格点同化能够改善大气波导的MM5数值模拟结果,提高MM5的大气波导参数模拟精度;在大气波导分布上,格点同化对陆地大气波导影响较大,对于海上的模拟区域分布几乎没有影响。 相似文献
10.
采用RANSAC算法剔除观测数据中的离群值,再使用线性内插法进行补全,利用整体投影计算的思想提取两点间的相对重力值,并对其精度和标准差进行检验。结果表明,动态重力观测的残差最大值为4.641 μGal,重复性标准差最大值为4.384 μGal,均优于5 μGal。该方法可获得较高精度的重力观测数据,为在复杂环境下获取相对重力值提供一种新方法。 相似文献
11.
The AMSR2 microwave radiometer is the main payload of the GCOM-W1 satellite,launched by the Japan Aerospace Exploration Agency in 2012. Based on the pre-launch information extraction algorithm,the AMSR2 enables remote monitoring of geophysical parameters such as sea surface temperature,wind speed,water vapor,and liquid cloud water content. However,rain alters the properties of atmospheric scattering and absorption,which contaminates the brightness temperatures measured by the microwave radiometer. Therefore,it is difficult to retrieve AMSR2-derived sea surface wind speeds under rainfall conditions. Based on microwave radiative transfer theory,and using AMSR2 L1 brightness temperature data obtained in August 2012 and NCEP reanalysis data,we studied the sensitivity of AMSR2 brightness temperatures to rain and wind speed,from which a channel combination of brightness temperature was established that is insensitive to rainfall,but sensitive to wind speed. Using brightness temperatures obtained with the proposed channel combination as input parameters,in conjunction with HRD wind field data,and adopting multiple linear regression and BP neural network methods,we established an algorithm for hurricane wind speed retrieval under rainfall conditions. The results showed that the standard deviation and relative error of retrievals,obtained using the multiple linear regression algorithm,were 3.1 m/s and 13%,respectively. However,the standard deviation and relative error of retrievals obtained using the BP neural network algorithm were better(2.1 m/s and 8%,respectively). Thus,the results of this paper preliminarily verified the feasibility of using microwave radiometers to extract sea surface wind speeds under rainfall conditions. 相似文献
12.
HY-2A is the first one of the Chinese HY-2 ocean satellite series carrying a microwave radiometer(RM) to measure sea surface temperature,sea surface wind speed,atmospheric water vapor,cloud liquid water content, and rain rate. We verified the RM level 1B brightness temperature(T_B) to retrieve environmental parameters. In the verification, TB that simulated using the ocean-atmosphere radiative transfer model(RTM) was used as a reference. The total bias and total standard deviation(SD) of the RM level 1B T_B, with reference to the RTM simulation, ranged-20.6-4.38 K and 0.7-2.93 K, respectively. We found that both the total bias and the total SD depend on the frequency and polarization, although the values for ascending and descending passes are different. In addition, substantial seasonal variation of the bias was found at all channels. The verification results indicate the RM has some problems regarding calibration, e.g.,correction of antenna spillover and antenna physical emission, especially for the 18.7-GHz channel. Based on error analyses, a statistical recalibration algorithm was designed and recalibration was performed for the RM level 1B T_B. Validation of the recalibrated TB indicated that the quality of the recalibrated RM level 1B T_B was improved significantly. The bias of the recalibrated TB at all channels was reduced to 0.4 K, seasonal variation was almost eradicated, and SD was diminished(i.e., the SD of the 18.7-GHz channel was reduced by more than 0.5 K). 相似文献
13.
Application of nonlinear multi-channel algorithms for estimating sea surface temperature with NOAA-14 AVHRR data 总被引：1，自引：0，他引：1
李晓峰 《中国海洋湖沼学报》2000,18(3):199-207
ＩＮＴＲＯＤＵＣＴＩＯＮＳｉｎｃｅｔｈｅｅａｒｌｙ 1 970ｓ,ｔｈｅＡｄｖａｎｃｅｄＶｅｒｙＨｉｇｈＲｅｓｏｌｕｔｉｏｎＲａｄｉｏｍｅｔｅｒ(ＡＶＨＲＲ)ｏｎｂｏａｒｄｔｈｅＮａｔｉｏｎａｌＯｃｅａｎｉｃａｎｄＡｔｍｏｓｐｈｅｒｉｃＡｄｍｉｎｉｓｔｒａｔｉｏｎ (ＮＯＡＡ)ｓｅｒｉｅｓｏｆＰｏｌａｒ ｏｒｂｉｔｉｎｇＯｐｅｒａｔｉｏｎａｌＥｎ ｖｉｒｏｎｍｅｎｔａｌＳａｔｅｌｌｉｔｅｓ (ＰＯＥＳ)ｈａｓｂｅｅｎｕｓｅｄｆｏｒｓｅａｓｕｒｆａｃｅｔｅｍｐｅｒａｔｕｒｅ (ＳＳＴ)ｒｅｔｒｉｅｖａｌａｎｄｃｌｏｕ… 相似文献
14.
考虑北斗二代卫星长期钟差序列中存在的钟跳、粗差及数据缺失现象,提出一种钟差序列的数据质量控制方法。利用频率序列识别钟跳,采用阈值法进行异常数据段剔除以及结合MAD和Baarda数据探测法共同进行粗差探测与剔除,再利用线性内插对缺失数据进行插补,得到干净的钟差序列。实测数据表明,这种钟差质量控制策略可以显著提高北斗钟差序列信息提取的准确性以及钟差预报精度。 相似文献
15.
本文以2007年和2008年MODIS每日地表温度（LST）数据及AMSR-E地表亮温（BT）数据为研究对象,结合土地覆盖类型数据,统计分析MODIS_LST与AMSR-E_BT在不同土地覆盖类型、频率和极化方式条件下的相关性。结果表明,频率在18.7、23.8和36.5 GHz的AMSR-E-BT与MODIS_LST的相关性较大,且在垂直极化通道上的相关性较在水平极化上大;不同土地覆盖类型,与MODIS_LST相关性较大所对应的AMSR-E微波通道不同。同时,考虑混合像元问题对相关性的影响,对25种不同地物类型组合下MODIS_LST与AMSR-E-BT的相关性进行统计分析,发现混合像元中地物类型越多,则二者相关性越小。最后,采用多元线性回归分析法,根据不同土地覆盖类型建立反演回归模型,对部分研究区域MODIS-LST进行反演,误差平均在±3.15 K以内,与不考虑下垫面覆盖的模型比较,反演MODIS_LST精度平均提高了1.5 K。 相似文献
16.
Snow on sea ice is a sensitive indicator of climate change because it plays an important role regulating surface and near surface air temperatures. Given its high albedo and low thermal conductivity, snow cover is considered a key reason for amplified warming in polar regions. This study focuses on retrieving snow depth on sea ice from brightness temperatures recorded by the Microwave Radiation Imager(MWRI) on board the FengYun(FY)-3 B satellite. After cross calibration with the Advanced Microwave Scanning Radiometer-EOS(AMSR-E) Level 2 A data from January 1 to May 31, 2011, MWRI brightness temperatures were used to calculate sea ice concentrations based on the Arctic Radiation and Turbulence Interaction Study Sea Ice(ASI) algorithm. Snow depths were derived according to the proportional relationship between snow depth and surface scattering at 18.7 and 36.5 GHz. To eliminate the influence of uncertainties in snow grain sizes and sporadic weather effects, seven-day averaged snow depths were calculated. These results were compared with snow depths from two external data sets, the IceBridge ICDIS4 and AMSR-E Level 3 Sea Ice products. The bias and standard deviation of the differences between the MWRI snow depth and IceBridge data were respectively 1.6 and 3.2 cm for a total of 52 comparisons. Differences between MWRI snow depths and AMSR-E Level 3 products showed biases ranging between-1.01 and-0.58 cm, standard deviations from 3.63 to 4.23 cm, and correlation coefficients from 0.61 to 0.79 for the different months. 相似文献
17.
等间距法和均值标准差法界定城市热岛的对比研究 总被引：1，自引：0，他引：1
利用ASTER数据反演地表温度,采用等间距法和均值-标准差法,将研究区温度场分别划分为4级、5级、6级,并根据热岛区的界定进一步将4级、6级细分为4级(a)、4级(b)、6级(a)和6级(b)。在此基础上,对两种方法从城市热岛数量结构差异、热岛空间分布及细节表达等方面进行了系统对比分析。结果表明:两种方法所界定热岛的面积百分比随着分级数不同均出现跳跃现象,趋势基本一致。但就热岛强度而言,均值-标准差法对分级数的敏感性较等间距法小,在热岛的空间分布和温度变异的细节表现力等方面,均值-标准差法也优于等间距分级法。因此,综合来看,均值-标准差法是城市热岛界定的较适合方法。均值-标准差法以地表温度相对于平均温度的变异程度为依据进行热场划分,在多时相城市热岛演变、对比等研究中,一定程度上可以避开时相的差异。 相似文献
18.
Permittivity of a sea foam layer is very important in investigating ocean brightness temperature model. At microwave frequency, the Rayleigh method is developed to estimate the effective permittivity of the sea foam layer. To simplify the tedious calculation of sea foam effective permittivity at L band(1.4 GHz), Pade’ approximation is adopted to fit the sea foam effective permittivity computed by the Rayleigh method. With this fitting formula, a new brightness temperature model of sea foam layer defined by certain geophysical parameters, such as air volume fraction(AVF), sea surface temperature(SST), sea surface salinity(SSS) and thickness of foam layer d, is given. Furthermore, the sensitivities of the brightness temperature model to SST, SSS, d and AVF of a sea foam layer at L band are discussed. The sensitivities are ranked from most to least in the order:(1) d;(2) AVF;(3) SSS;(4) SST. This result indicates that the measurement errors of d and AVF have significant impacts on the retrievals of SSS and SST. With the experimental brightness temperature data, the SSS and AFV are retrieved by cost function. 相似文献
19.
Kebiao Mao Ying Ma Lang Xia Xinyi Shen Zhiwen Sun Tianjue He Guanhua Zhou 《中国地理科学(英文版)》2014,24(5):599-606
It has been observed that low temperature, rainfall, snowfall, frost have never occurred over the past 50 years in the southern China, and weather in this area is very complex, so the monitoring equipments are few. Optical and thermal infrared remote sensing is influenced much by clouds, so the passive microwave Advanced Microwave Scanning Radiometer-Earth Observing System （AMSR-E） data are the best choice to monitor and analyze the development of disaster. In order to improve estimation accuracy, the dynamic learn- ing neural network was used to retrieve snow depth. The difference of brightness temperatures of TB18.7v and TB36.sv, TBI8.7H and TB36.sH, TB23,sv and TB89v, TBz3.8H and TB89H are made as four main input nodes and the snow depth is the only one output node of neural network. The mean and the standard deviation of retrieval errors are about 4.8 cm and 6.7 cm relative to the test data of ground measurements. The application analysis indicated that the neural network can be utilized to monitor the change of snow intensity distribution through passive microwave data in the complex weather of the southern China. 相似文献
20.
Comparative analysis of microwave brightness temperature data in Northeast China using AMSR-E and MWRI products 总被引：1，自引：1，他引：0
With such significant advantages as all-day observation, penetrability and all-weather coverage, passive microwave remote
sensing technique has been widely applied in the research of global environmental change. As the satellite-based passive microwave
remote sensor, the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) loaded on NASA’s (National Aeronautics
and Space Administration of USA) Aqua satellite has been popularly used in the field of microwave observation. The Microwave
Radiation Imager (MWRI) loaded on the Chinese FengYun-3A (FY-3A) satellite is an AMSR-E-like conical scanning microwave sensor,
but there are few reports about MWRI data. This paper firstly proposed an optimal spatial position matching algorithm from
rough to exact for the position matching between AMSR-E and MWRI data, then taking Northeast China as an example, comparatively
analyzed the microwave brightness temperature data derived from AMSR-E and MWRI. The results show that when the antenna footprints
of the two sensors are filled with either full water, or full land, or mixed land and water with approximate proportion, the
errors of brightness temperature between AMSR-E and MWRI are usually in the range from −10 K to +10 K. In general, the residual
values of brightness temperature between the two microwave sensors with the same spatial resolution are in the range of ±3
K. Because the spatial resolution of AMSR-E is three times as high as that of MWRI, the results indicate that the quality
of MWRI data is better. The research can provide useful information for the MWRI data application and microwave unmixing method
in the future. 相似文献