检索结果-南通市图书馆

Assimilation of atmospheric infrared sounder radiances with WRF-GSI for improving typhoon forecast

Frontiers of Earth Science 2018年第3期12卷 457-467页

作者： Yan-An LIU Zhibin SUN Maosi CHEN Hung-Lung Allen HUANG Wei GAO Key Laboratory of Geographic Information Science (Ministry of Education) East China Normal University Shanghai 200241 China School of Geographic Sciences East China Normal University Shanghai 200241 China ECNU-CSU Joint Research Institute for New Energy and the Environment East China Normal University Shanghai 200062 China Joint Laboratory for Environmental Remote Sensing and Data Assimilation East China Normal University Shanghai 200241 China Natural Resource Ecology Laboratory Colorado State University Fort Collins CO 80523 United States Cooperative Institute for Meteorological Satellite Studies University of Wisconsin-Madison Madison WI 53706 United States

The Atmospheric Infrared Sounder （AIRS） can provide the profile information on atmospheric temperature and humidity in high vertical resolution. The assimilation of its radiances has been proven to improve the Numerical Weather Prediction （NWP） in global models. In this study, regional assimilation of AIRS radiances was carried out in a community assimilation system, using Gridpoint Statistical Interpolation （GSI） coupled with the Weather Research and forecasting （WRY） model. The AIRS channel selection, quality control, and radiances bias correction were examined and illustrated for optimized assimilation. The bias correction scheme in the regional model showed that corrections on most of the channels produce satisfactory results except for several land surface channels. The assimilation and forecast experiments were carried out for three typhoon cases （Saola, Damrey, and Haikui in 2012） with and without including AIRS radiances. Results show that the assimilation of AIRS radiances into the WRF/GSI model improves both the typhoon track and intensity in a 72-hour forecast.

关键词： AIRS WRF/GSI model radiance assimilation typhoon forecast

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Combinatorial Optimization of Physics Parameterization Schemes for typhoon Simulation Based on a Simple Genetic Algorithm(SGA)

引用

Journal of Meteorological Research 2024年第1期38卷 10-26页

作者： Zebin LU Jianjun XU Zhiqiang CHEN Jinyi YANG Jeremy Cheuk-Hin LEUNG Daosheng XU Banglin ZHANG China Meteorological Administration–Guangdong Ocean University Joint Laboratory for Marine Meteorology South China Sea Institute of Marine MeteorologyGuangdong Ocean UniversityZhanjiang 524088 College of Ocean and Meteorology Guangdong Ocean UniversityZhanjiang 524088 Guangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction China Meteorological AdministrationGuangzhou 510640 Shenzhen Institute of Guangdong Ocean University Shenzhen 518120 College of Atmospheric Science Lanzhou UniversityLanzhou 730000

Each physical process in a numerical weather prediction(NWP)system may have many different parameterization *** studies have shown that the performance of different physical parameterization schemes varies with the weather situation to be ***,it is necessary to select a suitable combination of physical parameterization schemes according to the variation of weather ***,it is rather difficult to identify an optimal combination among millions of possible parameterization scheme *** study applied a simple genetic algorithm(SGA)to optimizing the combination of parameterization schemes in NWP models for typhoon *** feasibility of SGA was verified with the simulation of typhoon Mujigae(2015)by using the Weather Research and forecasting(WRF)model and typhoon Higos(2020)by using the Coupled Ocean–Atmosphere–Wave–Sediment Transport(COAWST)modeling *** results show that SGA can efficiently obtain the optimal combination of *** typhoon Mujigae(2015),the optimal combination can be found from the 1,304,576 possible combinations by running only 488 *** results can be obtained for typhoon Higos(2020).Compared to the default combination proposed by the COAWST model system,the optimal combination scheme significantly improves the simulation of typhoon track and *** study provides a feasible way to search for the optimal combinations of physical parameterization schemes in WRF and COAWST for more accurate typhoon *** can help provide references for future development of NWP models,and for analyzing the coordination and adaptability of different physical process parameterization schemes under specific weather backgrounds.

关键词： simple genetic algorithm(SGA) combinatorial optimization typhoon forecast numerical weather prediction(NWP)

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Impact of FY-3D MWRI Radiance Assimilation in GRAPES 4DVar on forecasts of typhoon Shanshan

引用

Journal of Meteorological Research 2020年第4期34卷 836-850页

作者： Hongyi XIAO Wei HAN Hao WANG Jincheng WANG Guiqing LIU Changshan XU Numerical Weather Prediction Center China Meteorological AdministrationBeijing 100081 National Meteorological Center China Meteorological AdministrationBeijing 100081 Tai’an City Meteorological Bureau Shandong Meteorological BureauTai’an 271000

In this study, Fengyun-3 D(FY-3 D) Micro Wave Radiation Imager(MWRI) radiance data were directly assimilated into the Global/Regional Assimilation and Pr Ediction System(GRAPES) four-dimensional variational(4 DVar) system. Quality control procedures were developed for MWRI applications by using algorithms from similar microwave instruments. Compared with the FY-3 C MWRI, the bias of FY-3 D MWRI observations did not show a clear node-dependent difference from the numerical weather prediction background simulation. A conventional bias correction approach can therefore be used to remove systematic biases before the assimilation of data. After assimilating the MWRI radiance data into GRAPES, the geopotential height and humidity analysis fields were improved relative to the control experiment. There was a positive impact on the location of the subtropical high, which led to improvements in forecasts of the track of typhoon Shanshan.

关键词： Fengyun-3D(FY-3D) Microwave Radiation Imager(MWRI) Global/Regional Assimilation and Pr Ediction System(GRAPES) four-dimensional variational(4DVar) typhoon forecast

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Impacts of Multigrid NLS-4DVar-based Doppler Radar Observation Assimilation on Numerical Simulations of Landfalling typhoon Haikui (2012)

引用

Advances in Atmospheric Sciences 2020年第8期37卷 873-892页

作者： Lu ZHANG Xiangjun TIAN Hongqin ZHANG Feng CHEN International Center for Climate and Environment Sciences Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China University of Chinese Academy of Sciences Beijing 100049China Collaborative Innovation Center on forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and TechnologyNanjing 210044China Zhejiang Institute of Meteorological Sciences Hangzhou 310008China

We applied the multigrid nonlinear least-squares four-dimensional variational assimilation(MG-NLS4DVar)method in data assimilation and prediction experiments for typhoon Haikui(2012)using the Weather Research and forecasting(WRF)*** data included radial velocity(Vr)and reflectivity(Z)data from a single Doppler radar,quality controlled prior to *** prediction results were evaluated and compared between the NLS-4DVar and MG-NLS4DVar *** with a forecast that began with NCEP analysis data,our radar data assimilation results were clearly improved in terms of structure,intensity,track,and precipitation prediction for typhoon Haikui(2012).The results showed that the assimilation accuracy of the NLS-4DVar method was similar to that of the MG-NLS4DVar method,but that the latter was more *** assimilation of Vr alone and Z alone each improved predictions of typhoon intensity,track,and precipitation;however,the impacts of Vr data were significantly greater that those of Z *** window-length sensitivity experiments showed that a 6-h assimilation window with 30-min assimilation intervals produced slightly better results than either a 3-h assimilation window with 15-min assimilation intervals or a 1-h assimilation window with 6-min assimilation intervals.

关键词： MG-NLS4DVar NLS-4DVar radar data assimilation typhoon forecast

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

The Sensitive Regions Identified by CNOPs of Three typhoon Events

引用

Atmospheric and Oceanic Science Letters 2010年第3期3卷 170-175页

作者： Qin Xiao-Hao The State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG) Institute of Atmospheric Physics Chinese Academy of Sciences Beijing 100029 China Graduate University of Chinese Academy of Sciences Beijing 100049 China

In this paper, several sets of observing system simulation experiments (OSSEs) were designed for three typhoon cases to determine whether or not the additional observation data in the sensitive regions identified by conditional nonlinear optimal perturbations (CNOPs) could improve the short-range forecast of typhoons. The results show that the CNOPs capture the sensitive regions for typhoon forecasts, which implies that conducting additional observation in these specific regions and eliminating initial errors could reduce forecast errors. It is inferred from the results that dropping sondes in the CNOP sensitive regions could lead to improvements in typhoon forecasts.

关键词： adaptive observations conditional nonlinear optimal perturbation sensitive regions Observing system simulation experiments typhoon forecast

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：