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121.
数值预报产品动力-统计释用方法与寒潮预报   总被引:1,自引:0,他引:1  
陈静  桑志勤 《气象》1998,24(2):34-38
从气温变化的物理过程出发,设计了一种数值预报产品的动力-统计释用方法,开发了一套四川盆地寒潮入侵时间和降温幅度的释用方案,并利用ECMWF产品建立四川盆地寒潮自动预报系统,滚动预报未来1~6日内的寒潮过程。1995~1997年投入中短期业务运行,取得了显著效果。  相似文献   
122.
Chinese meteorological satellite FY-1D can obtain global data from four spectral channels which include visible channel(0.58-0.68 μm) and infrared channels(0.84-0.89 μm,10.3-11.3 μm,11.5-12.5 μm).2366 snow and ice samples,2024 cloud samples,1602 land samples and 1648 water samples were selected randomly from Arctic imageries.Land and water can be detected by spectral features.Snow-ice and cloud can be classified by textural features.The classifier is Bayes classifier.By synthesizing five d ays classifying result of Arctic snow and ice cover area,complete Arctic snow and ice cover area can be obtained.The result agrees with NOAA/NESDIS IMS products up to 70%.  相似文献   
123.
Dust storm, which has a significant impact on regional air quality, is one of the most hazardous meteorological phenomena in the arid areas. Yazd province is one of the arid areas in Iran that is exposed to dust storms. In this study, two cases of dust storms of Yazd province are studied with the use of coupling numerical models and aerosol optical depth (AOD) from MODIS data. We investigated synoptic condition of such dust storms that were formed downstream of upper level through in the area by focusing on two storms, on May 24 and 25, 2014. For this purpose, a dynamic coupling of this case is done using WRF output the HYSPLIT model. This model was implemented to investigate the sources of the dust storms by calculating the back trajectories from the receptor sites. The trajectories indicated that the first and the second case storms occurred in the northeast and the south of Yazd respectively. These results also showed a good agreement with MODIS aerosol optical depth data and HYSPLIT back trajectories paths.  相似文献   
124.
基于单时相MODIS数据的决策树自动构建及分类研究   总被引:4,自引:0,他引:4  
以甘肃省为试验区,利用单时相MODIS数据的光谱信息,使用最大似然法和基于See 5.0数据挖掘的决策树分类方法,进行了分类对比研究.分类结果表明,加入温度一植被角度TVA和温度-植被距离TVD两个指数后,低植被覆盖区的分类效果得到了改善;基于See 5.0数据挖掘的决策树方法能够快速地建立决策树,且能提高较难识别地物类型的分类精度.  相似文献   
125.
用MODIS数据和分裂窗算法反演内蒙古地区的地表温度   总被引:3,自引:0,他引:3  
地表温度是气象、水文、生态等研究中一个重要参数。大气透过率和比辐射率是分裂窗算法的两个重要输入参数,本文利用MODIS数据的可见光波段(band1)和近红外波段(band2、19)计算该两个参数;再利用MODIS数据的两个热红外波段(band31、32)和分裂窗算法对内蒙古地区地表温度进行了反演;结果表明,遥感反演出来的地表温度的空间分布与内蒙古气候区地空间分布具有高度的一致性,能直观地反应内蒙古地区地表温度的空间分布特征。  相似文献   
126.
自然水体中太阳光激发的叶绿素a荧光的最早观测记录可以追溯到1967年.Tyler et al.发现,在自然水体的反射光谱中685 nm附近存在一个比较明显的反射峰[1],当时解释为由于670nm处的叶绿素吸收而导致的“异常色散”[2].随着Morel et al.[3]和Neville et al.[4]进一步的研究,人们认识到这应该是太阳光激发的叶绿素荧光峰,但这一荧光的量子产量非常低,Gordon估算了它的值在0.002到0.020之间[5].  相似文献   
127.
太湖水质参数MODIS的遥感定量提取方法   总被引:1,自引:0,他引:1  
本文利用MODIS数据的可见光、近红外波段和准实时的地面采样数据,分别利用线性回归模型和神经网络模型反演了太湖的叶绿素a和悬浮物浓度.结果表明,利用MODIS数据的波段组合(M2/M8)和(M2/M9)可估算太湖的叶绿素a浓度;而MODIS数据的波段组合(M12/M17)、(M13/M17)及MODIS(M4)波段能定量估算太湖的悬浮物浓度,但估算精度仍不能满足实际需要.因此,构建了一个以MODIS可见光及近红外波段为输入,以太湖水质参数为输出的2层BP神经网络模型反演太湖的水质参数,大大提高了反演精度.  相似文献   
128.
An airborne oceanographic lidar, with a frequency-tripled Q-switched Nd: YAG laser of 355 nm, has been designed to measure chlorophyll-a (Chl-a) concentration in the sea surface layer by the Ocean Remote Sensing Institute, OUC. The field experiment was carried out in the bay which is located south of the Liaodong Peninsula on the 10th of September 2005. After the flight, the raw data were processed and analyzed by the fluorescence-to-Raman ratio method with seawater attenuation coefficients calculated from signal profiles. The results of Chl-a concentration measurements by lidar are shown. The measurements in clear sea water were also compared with those of Chl-a concentration by a Moderate Resolution Imaging Spectroradiometer (MODIS).  相似文献   
129.
In the Aral Sea Basin, where the Central Asian countries compete for limited water resources, reliable information on the actual water use for eight million ha of irrigated land are rare. In this study, spatially distributed land use data, seasonal actual evapotranspiration, and reference evapotranspiration derived from multitemporal MODIS data were combined with in situ water flow measurements for irrigation performance assessments in the upper Amu Darya Delta. The functioning of the major irrigation and drainage which supplies an agricultural area of 270,000 ha in the Uzbek province Khorezm was analysed using water balancing and adequacy indicators of irrigation water use.An average relative evapotranspiration of 95% indicated fulfilled water demands and partly over-irrigation, whereas values below 75% disclosed inadequate water supply in distant parts of the irrigation system. On the other hand, immense water withdrawals of approximately 24,000 m3 ha−1 recorded at the system boundaries between April and September 2005 clearly exceeded the field water demands for cotton cultivation. Only 46% of the total irrigation amounts were consumed for crop production at field level. Throughout the vegetation period, approximately 58% of the total available water left the region as drainage water. Monthly observations of the depleted fraction and the drainage ratio highlighted drainage problems and rising groundwater levels at regional scale. In the most distant downstream subsystem, a high risk of groundwater and soil salinity during the main irrigation phase was found.A combination of high conveyance losses, hydraulic problems, direct linkages between irrigation and drainage, and low field application efficiencies were identified as major reasons for underperforming irrigation. The findings underlined the necessity of water saving and of reconsidering water distribution in Khorezm. The remote sensing approach was concluded as a reliable data basis for regular performance assessments for all irrigation systems in Central Asia.  相似文献   
130.
省级基础测绘1∶1万比例尺数字测绘产品包括DEM,DOM,DLG,DRG、元数据、文档簿等。为验证数字测绘产品最终成果的精度和可靠性,可选择多种方案进行质量检验;在选择检验方案时,既要考虑检验的成本、周期,又要考虑检验方案的科学性和严密性。针对不同的数字测绘产品,该文给出了与之相适应的检验方法,并阐明了检验内容和注意事项。  相似文献   
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