4D-VAR

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相关机构：中国气象局陕西省气象局中国农业大学南京信息工程大学更多>>
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基于GEOS-Chem V12.6.3的全球CO_(2)浓度同化系统的构建
《西安理工大学学报》2023年第2期184-197,共14页霍霄 王茂华 张钦伟 魏崇 黄永健 顾倩荣 
中国科学院重点部署资助项目(ZDRW-ZS-2019-1);国际碳卫星观测数据分析合作计划资助(131211KYSB20180002)。
为了研究同化OCO-2卫星柱浓度(XCO_(2))数据对于全球CO_(2)浓度模拟的影响,本文基于GEOS-Chem V12.6.3,采用四维变分(four dimensional variational,4D-Var)的方法,构建了一个同化OCO-2卫星XCO_(2)数据的全球大气CO_(2)浓度同化系统。首...
关键词：CO_(2)浓度 同化系统 4D-VAR OCO-2 GEOS-CHEM 
The Regularized WSM6 Microphysical Scheme and Its Validation in WRF 4D-Var
《Advances in Atmospheric Sciences》2023年第3期483-500,共18页Sen YANG Deqin LI Liqiang CHEN Zhiquan LIU Xiang-Yu HUANG Xiao PAN 
supported by the National Key R&D Program of China under Grant Nos.2018YFC1507302 and 2018YFC1506803;National Natural Science Foundation of China No.42275171;the Liaoning Province Key R&D Program of Liaoning of China under Grant No.2020JH2/10300091;the Bohai Rim Meteorological Science Collaborative Innovation Fund under Grant No.QYXM201901.
A cold cloud assimilation scheme was developed that fully considers the water substances,i.e.,water vapor,cloud water,rain,ice,snow,and graupel,based on the single-moment WSM6 microphysical scheme and four-dimensional...
关键词：4D-VAR data assimilation LINEARIZATION numerical weather prediction WSM6 
Assimilation of All-Sky Radiance from the FY-3 MWHS-2 with the Yinhe 4D-Var System
《Journal of Meteorological Research》2022年第5期750-766,共17页Shuo MA Weimin ZHANG Xiaoqun CAO Yanlai ZHAO Bainian LIU 
Supported by the National Key Research and Development Program of China(2018YFC1506704);National Natural Science Foundation of China(41705007)。
Compared with traditional microwave humidity sounding capabilities at 183 GHz,new channels at 118 GHz have been mounted on the second generation of the Microwave Humidity Sounder(MWHS-2)onboard the Chinese FY-3C and F...
关键词：Microwave Humidity Sounder-2 data assimilation Yinhe four-dimensional variational data assimilation all-sky radiance Fengyun-3 
An application of the A-4DEnVar to coupled parameter optimization
《Acta Oceanologica Sinica》2022年第9期60-70,共11页Yantian Gong Kangzhuang Liang Xinrong Wu Qi Shao Wei Li Siyuan Liu Guijun Han Hanyu Liu 
The National Key Research and Development Program under contract No.2021YFC3101501;the National Natural Science Foundation of China under contract No.41876014。
In variational methods,coupled parameter optimization(CPO) often needs a long minimization time window(MTW) to fully incorporate observational information,but the optimal MTW somehow depends on the model nonlinearity....
关键词：4D-VAR A-4DEnVar coupled parameter optimization “twin”experiments 
Move a Tropical Cyclone with 4D-Var and Vortex Dynamical Initialization in WRF Model被引量：2
《Journal of Tropical Meteorology》2021年第3期191-200,共10页WANG Ting PENG Yue-hua ZHANG Bang-lin LEUNG Jeremy Cheuk-Hin SHI Wei-lai 
National Natural Science Foundation of China(41405062, 41775017)。
Previous studies showed that 4 D-Var technique used for data assimilation could be modified for weather control. This study demonstrates the ability of 4 D-Var to influence the future path of a tropical cyclone by cal...
关键词：4D-VAR weather control Typhoon Mitag WRF model vortex dynamical initialization 
Study and application of an improved four-dimensional variational assimilation system based on the physical-space statistical analysis for the South China Sea
《Acta Oceanologica Sinica》2021年第1期135-146,共12页Yumin Chen Jie Xiang Huadong Du Sixun Huang Qingtao Song 
The National Key Research and Development Program of China under contract Nos 2017YFC1501803 and2018YFC1506903;the National Natural Science Foundation of China under contract Nos 91730304,41475021 and 41575026
The four-dimensional variational assimilation(4D-Var)has been widely used in meteorological and oceanographic data assimilation.This method is usually implemented in the model space,known as primal approach(P4D-Var).A...
关键词：four-dimensional variational data assimilation(4D-Var) physical space analysis system(PSAS) conjugate gradient algorithm(CG) minimal residual algorithm(MINRES) South China Sea 
Idealized Experiments for Optimizing Model Parameters Using a 4D-Variational Method in an Intermediate Coupled Model of ENSO被引量：5
《Advances in Atmospheric Sciences》2018年第4期410-422,共13页Chuan GAO Rong-Hua ZHANG Xinrong WU Jichang SUN 
supported by the National Natural Science Foundation of China (Grant Nos. 41705082, 41475101, 41690122(41690120));a Chinese Academy of Sciences Strategic Priority Project-the Western Pacific Ocean System (Grant Nos. XDA11010105 and XDA11020306);the National Programme on Global Change and Air–Sea Interaction (Grant Nos. GASI-IPOVAI06 and GASI-IPOVAI-01-01);the China Postdoctoral Science Foundation, and a Qingdao Postdoctoral Application Research Project
Large biases exist in real-time ENSO prediction, which can be attributed to uncertainties in initial conditions and model parameters. Previously, a 4D variational （4D-Vat） data assimilation system was developed for ...
关键词：intermediate coupled model ENSO modeling 4D-Var data assimilation system optimization of model param- eter and initial condition 
基于4D-VAR和条件植被温度指数的冬小麦单产估测被引量：15
《农业机械学报》2016年第3期263-271,共9页王鹏新 孙辉涛 王蕾 解毅 张树誉 李俐 
国家自然科学基金项目(41371390)
条件植被温度指数(VTCI)综合了地表主要参数——归一化植被指数(NDVI)和地表温度(LST),能够较为准确地对干旱进行监测,可为抗旱救灾、作物估产等提供科学依据。为了提高VTCI的区域估产精度,以陕西省关中平原为研究区域,将遥感反演的VTCI...
关键词：冬小麦 条件植被温度指数 四维变分 同化 作物生长模型 产量估测 
Use of Incremental Analysis Updates in 4D-Var Data Assimilation被引量：4
《Advances in Atmospheric Sciences》2015年第12期1575-1582,共8页Banglin ZHANG Vijay TALLAPRAGADA Fuzhong WENG Jason SIPPEL Zaizhong MA 
supported by NOAA’s Hurricane Forecast Improvement Project
The four-dimensional variational （4D-Var） data assimilation systems used in most operational and research centers use initial condition increments as control variables and adjust initial increments to find optimal a...
关键词：data assimilation incremental analysis updates 4D-Vat convergence 
The four dimensional variational data assimilation with multiple regularization parameters as a weak constraint(Tikh-4D-Var) and its preliminary application on typhoon initialization
《Science China Earth Sciences》2014年第11期2690-2701,共12页ZHONG Jian FEI JianFang CHENG XiaoPing HUANG XiaoGang 
supported by National Natural Science Foundation of China(Grants Nos.41230421,41005029,41105012,41375106 and 41105065);National Public Benefit(Meteorology)Research Foundation of China(Grant No.GYHY 201106004)
Traditional variational data assimilation （VDA） with only one regularization parameter constraint cannot produce optimal error tuning for all observations. In this paper, a new data assimilation method of ＂four dim...
关键词：multiple regularization parameters 4D-VAR typhoon initialization 
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