考虑风能输入的抛物型缓坡方程

在Radder和Kirby发展的波浪折射绕射缓坡方程抛物型模型基础上,对这种模型进行了改进,改进后的模型除可以考虑波浪传播过程中的底摩阻损耗、非线性作用外,加入了风能输入对波浪传播的影响。基于风能输入项的波浪模型数值计算结果表明,在纯风浪情况下的计算结果与传统的风浪计算方法结果一致,在波浪传播过程中由于风的作用,将导致波高比无风作用下计算的波高大。     

大气重力信号的理论计算及其检测

基于标准大气定律和大气圆柱体分布模型,本文引进了大气重力格林函数,用离散格积方法求得了大气对重力场观测的影响,对台站高程、周围地形和地表温度变化等因素的影响问题进行了讨论．结果说明台站近区气压变化是大气重力信号的主要贡献者,考虑大气质量负荷引起的弹性地球形变效应后,对距台站0．5°的区域积分获得的大气重力导纳值为-0．3603μGal／hPa,占全球大气变化引起的总信号的90％以上,这一理论模型结果与超导重力仪实测结果相吻合,并能较有效地用于消除重力观测中的气压干扰成分．     

Ensemble retrieval of atmospheric temperature profiles from AIRS

ABSTRACT Satellite-based observations provide great opportunities for improving weather forecasting. Physical retrieval of atmo spheric profiles from satellite observations is sensitive to the uncertainty of the first guess and other factors. In order to improve the accuracy of the physical retrieval, an ensemble methodology was developed with an emphasis on perturbing the first guess. In the methodology, a normal probability density function （PDF） is used to select the optimal profile from the ensemble retrievals. The ensemble retrieval algorithm contains four steps： （1） regression retrieval for original first guess; （2） perturbation of the original first guess to generate new first guesses （ensemble first guesses）; （3） using the ensemble first guesses and nonlinear iterative physical retrieval to generate ensemble physical results; and （4） the final optimal profile is selected from the ensemble physical results by using PDE Temperature eigenvectors （EVs） were used to generate the pertur- bation and generate the ensemble first guess. Compared with the regular temperature profile retrievals from the Atmospheric InfraRed Sounder （AIRS）, the ensemble retrievals RMSE of temperature profiles selected by the PDF was reduced between 150 and 320 hPa and below 400 hPa, with a maximum improvement of 0.3 K at 400 hPa. The bias was also reduced in many layers, with a maximum improvement of 0.69 K at 460 hPa. The combined optimal （CombOpt） profile and a mean optimal （MeanOpt） profile of all ensemble physical results were improved below 150 hPa. The MeanOpt profile was better than the CombOpt profile, and was regarded as the final optimal （FinOpt） profile. This study lays the foundation for improving temperature retrievals from hyper-spectral infrared radiance measurements.     

全球大气监测计划

目的和范围，一、将通过设计和建立作为空中保护系统的业务GAW系统对大气科学发展作出贡献，该系统是计划中的全球气候观测总系统的一个组成部分。为了监测和研究包括臭氧和其他温室气体的大气化学成分，GAW将与一些国际性活动合作，     

青藏高原春季土壤湿度异常与我国夏季降水的联系

利用 197-2014年 GLDAS-CLM(Global Land Data Assimilation System-the Community Land Mod-el)地表参量数据集、中国区域逐日观测资料格点化数据集(CN05.1)和ERA-nterim大气环流再分析数据,研究青藏高原5月(春季)土壤湿度的异常变化...     

海河流域盛汛期旱涝急转事件及其与大气环流异常的关系

利用1958—2012年海河流域30个气象站月降水资料、NCEP/NCAR月平均再分析资料及1974—2012年月平均向外长波辐射资料,分析了海河流域盛汛期旱涝急转事件及其与大气环流异常的关系。结果表明,南亚高压和西太平洋副高在盛汛期的月际振荡是海河流域旱涝急转形成的一个重要原因。涝转旱年及旱转涝年涝期对应于"西低东高"的流型(海河流域上游为低槽区,下游为高压区),冷暖空气活跃且易于较长时间在流域交绥,低层水汽输送较强且有正涡度异常,高层辐散和上升运动偏强,流域多雨偏涝;旱期则对应于"西高东低"的流型,西风带环流较为平直,低层有负涡度异常且水汽输送偏弱,高层辐散和上升运动偏弱,海河流域因而少雨偏旱。海河流域旱急转涝(涝急转旱)事件易发生在南亚夏季风偏弱(强)的背景下。海河流域盛汛期旱涝急转与初汛期流域上空气压场强度以及北太平洋涛动(NPO)、南半球环状模(SAM)存在显著的正相关,上述因子可能是旱涝急转事件的前期信号。     

高层大气密度的午夜极大值特征分析与建模

利用CHAMP (CHAllenging Minisatellite Payload)、GRACE-A (Gravity Recovery and Climate Experiment-A)、SWARM-C (The Earth''s Magnetic Field and Environment Explorers-C)等3颗极轨卫星的资料, 研究360—480km高层大气密度在低纬度区域的午夜极大值(Midnight Density Maximum, MDM)现象. MDM一般出现在23:00- 02:00 LT (Local Time)之间,峰值位置在低纬度15°以内,谷值位置在中纬度35°-45°附近,整体略偏向南半球,振幅约为平均密度的26%.随着高度增大以及太阳辐射水平的增强,MDM振幅呈减小趋势;冬至和夏至日附近的季节效应会减弱MDM振幅,在春秋分日的振幅最大.用3个主流大气模型DTM2000 (Drag Temperature Model 2000), NRLMSISE00 (US Naval Research Laboratory, Mass Spectrom-eter and Incoherent Scatter radar)和JB2008 (Jacchia- Bowman 2008 model)对MDM进行模拟,JB2008没有刻画出MDM现象;另两个模型低估了MDM效应,在360km和480km两个高度DTM2000模型的振幅仅为观测的46%和53%, NRLMSISE00模型仅为观测的33%和26%;模型没有准确刻画出MDM与高度、辐射水平和季节的关系.联合3颗卫星的资料,研究了-种基于地理纬度的6阶勒让德多项式,同时融合地方时和高度因素的经验函数,在振幅和相位上可以较好地刻画MDM特征,相关系数达到0.923,可为大气密度模型的修正提供借鉴,服务于低轨道航天器高精度轨道预报.     

Extending self-organizing maps for supervised classification of remotely sensed data

An extended self-organizing map for supervised classification is proposed in this paper. Unlike other traditional SOMs, the model has an input layer, a Kohonen layer, and an output layer. The number of neurons in the input layer depends on the dimensionality of input patterns. The number of neurons in the output layer equals the number of the desired classes. The number of neurons in the Kohonen layer may be a few to several thousands, which depends on the complexity of classification problems and the classification precision. Each training sample is expressed by a pair of vectors ： an input vector and a class codebook vector. When a training sample is input into the model, Kohonen＇s competitive learning rule is applied to selecting the winning neuron from the Kohouen layer and the weight coefficients connecting all the neurons in the input layer with both the winning neuron and its neighbors in the Kohonen layer are modified to be closer to the input vector, and those connecting all the neurons around the winning neuron within a certain diameter in the Kohonen layer with all the neurons in the output layer are adjusted to be closer to the class codebook vector. If the number of training sam- ples is sufficiently large and the learning epochs iterate enough times, the model will be able to serve as a supervised classifier. The model has been tentatively applied to the supervised classification of multispectral remotely sensed data. The author compared the performances of the extended SOM and BPN in remotely sensed data classification. The investigation manifests that the extended SOM is feasible for supervised classification.     

2023年秋季我国气候异常特征及成因分析

利用NCEP/NCAR再分析数据集和中国2400个站的气候观测数据,对2023年秋季我国气候异常特征及其成因进行分析。2023年秋季全国平均气温为1961年以来历史同期最高;全国平均降水量接近常年同期,但空间分布不均且季节内变化明显。秋季欧亚中高纬环流呈“两槽一脊”型,造成我国气温显著偏高;9月呈“两脊一槽”型,巴尔喀什湖低槽活动导致西北地区降水增多;10月呈“两槽一脊”型,导致北方地区偏暖加强;11月呈“西高东低”型,东路冷空气增强,东北地区气温偏低、降水偏多。西太平洋副热带高压总体较常年偏强、偏西,脊线9月异常偏北、10月偏南、11月接近常年。印缅槽9月显著偏强,10—11月接近常年。9月印缅槽偏强与副热带高压异常偏北共同导致了长江中下游以北至黄河下游地区多雨;10—11月东部地区水汽条件整体偏差。9—10月近海台风频繁活动,造成华南地区降水偏多。2023年秋季我国气候受到大气季节内变化的显著作用,热带海温异常的影响不典型。