AMSU

Preliminary research on monitoring snow-cover over China with AMSU data

应用AMSU资料监测中国地区雪盖的初步研究

The thermal structure characteristics of tropical cyclones with different intensity revealed by AMSU data

AMSU资料揭示的不同强度热带气旋热力结构特征

Research on Extreme Weather and Climate Events using MSU and AMSU Brightness Temperature Data

MSU及AMSU亮温资料在极端天气气候应用中的研究

A Study on Assimilation of AMSU and Its Application on Heavy Rainfall in Numerical Forecast

AMSU资料变分同化及在暴雨数值模拟中的应用研究

Preliminary Application of AMSU Data to the Snow Cover-Monitoring of Xinjiang

AMSU资料监测新疆雪盖范围的初步应用

The probable position of mesoscale convective precipitation is analyzed with AMSU data .

使用国家卫星气象中心的AMSU资料分析了淮河流域发生的中尺度云团中降水最可能出现的位置。

The Application of NOAA / AMSU Data in Typhoon Study in North-West Pacific Ocean

NOAA/AMSU资料在西北太平洋台风研究中的应用

A numerical experiment of the atmospheric temperature profile inversion from satellite-based AMSU measurements through the improved EOF approach

用改进的EOF方法和卫星AMSU反演大气温度廓线的一次数值实验

This study can be used as a reference to typhoon analysis using NOAA / AMSU data received at the satellite ground station in Ocean University of China .

本文的研究可为中国海洋大学卫星地面站NOAA/AMSU数据分析台风提供参考。

AMSU data increased the quantity of temperature and wind , could clearly revealed the occurrence and change of the low vortex which lead to the rainfall .

同化AMSU资料使温度场和风场增强，更清楚的显示出中尺度低涡系统发生和演变的过程。

Besides , the paper simply analyses the factors that influence the monitoring accuracy of AMSU , and then points out several problems to be resolved in the future .

另外，简单分析了影响AMSU监测精度的因素，并指出了需要解决的几点问题。

Atmospheric temperature is retrieved from AMSU ( Advanced Microwave Sounding Unit ) soundings by using a physical-statistical scheme and a regression model .

利用物理统计综合方法，建立了统计回归模型，作AMSU（AdvancedMicro-waveSoundingUnit）温度反演。

The results suggest that AMSU data could improve the simulation of the summer heavy rainfall in China , and has latent capacity to ameliorate the operational weather prediction .

AMSU资料对于我国夏季暴雨的数值模拟具有改进作用，在业务预报中具有潜在的应用前景。

This paper introduces the data calibration and location of AVHRR / 3 and AMSU flying on the NOAA-15 polar orbiting weather satellite .

本文讨论了NOAA-15极轨气象卫星AVHRR/3、AMSU资料的定标和定位。

Microwave sensings from the AMSU aboard NOAA satellites , penetrating through a thick extent of cloud cover , find an increasingly wider range of applications .

由于微波具有穿透云的能力，AMSU卫星探测资料得到了越来越广泛的应用。

As a result , as a new kind of satellite soundings , AMSU microwave data are of some utility in analyzing and forecasting the structure of tropical cyclones , and intensity of a spiral rainband and rainfall .

结果表明：AMSU资料作为一种新的卫星微波探测资料，在热带气旋的结构、螺旋雨带的强度及其降水强度的分析预报中具有一定的应用价值。

Weighting functions of AMSU channels 3 ~ 14 are calculated by the Liebe model , the normalized weighting functions are then employed as the constraints for the statistical regression model , and the optimal solution is obtained by appropriately adjusting the constraints .

采用Liebe模式计算了AMSU3~14通道微波波段的权重函数，利用计算得到的归一化权重函数作为统计回归模型的约束条件，并适当调整约束因子求得方程的最佳解。

Results show that when AMSU samples at the sub-satellite point are adopted , the constrained regression algorithm yields higher retrieval accuracy with the root-mean-square error of ( 0.4 K ) ( 1.0 K ) below ( at and above ) 100 hPa .

结果表明，当采用近星下点的AMSU-A亮温资料样本时，该算法模型具有较高的反演精度，在100hPa以下，温度均方根偏差为0.4K，100hPa及以上的均方根偏差为1.0K。

In this paper , the short time rainfull estimated by using microwave data from NOAA-16 satellite 5 channel advanced microwave sounding unit model B ( called AMSU - B ) at 03 h ( Beijing time ) of Aug. 6 , 2002 is described .

本文主要是利用NOAA-16气象卫星的AMSU-B微波仪器（5个通道）所接收到的2002年8月6日03时（北京时）的图像做短时的强降水估计。