气候变化领域集成服务门户(CCPortal): Evaluating the Forecast Impact of Assimilating ATOVS Radiance With the Regional System of Multigrid NLS-4DVar Data Assimilation for Numerical Weather Prediction (SNAP)

CCPortal

DOI	10.1029/2020MS002407
	Evaluating the Forecast Impact of Assimilating ATOVS Radiance With the Regional System of Multigrid NLS-4DVar Data Assimilation for Numerical Weather Prediction (SNAP)
	Zhang, Hongqin; Tian, Xiangjun
通讯作者	Tian, XJ (通讯作者)
发表日期	2021
EISSN	1942-2466
卷号	13 期号:7
英文摘要	The regional System of Multigrid Nonlinear Least Squares Four-dimensional Variational Data Assimilation for Numerical Weather Prediction (SNAP) was recently established based on the multigrid NLS-4DVar assimilation scheme, Weather Research and Forecasting numerical model, and Gridpoint Statistical Interpolation (GSI)-based observation quality control and observation operator modules. The analysis variables are model state variables, rather than the control variables adopted in the conventional 4DVar system. The regional SNAP adopts the multigrid NLS-4DVar, which can correct errors from large to small scales and accelerate iteration solutions, to minimize the cost function and obtain the optimal analysis. Therefore, the regional SNAP has a higher assimilation efficiency and accuracy. In addition, the assimilation performance of the regional SNAP for conventional and radar observations had been evaluated. The main goal of this study is to achieve the direct assimilation of satellite radiation data using the regional SNAP. In this study, 1-week cycle assimilation experiments assimilating Advanced TIROS Operational Vertical Sounder (ATOVS) data were designed to fully evaluate the performance of regional SNAP compared with the GSI Ensemble Four-dimensional Variational (4DEnVar) scheme. First, a rainstorm was selected to illustrate the performance of regional SNAP. The cumulative precipitation distribution of SNAP was closer to reality and the higher equitable threat score and lower far score indicate that the regional SNAP improves precipitation forecast. In the 1-week numerical experiments, for the u/v wind and temperature variables, the regional SNAP outperforms GSI and there was an improvement in GSI for the humidity variable.
关键词	VARIATIONAL DATA ASSIMILATION ENSEMBLE KALMAN FILTER DIRECT 4D-VAR ASSIMILATION CLOUD-CLEARED RADIANCES SKY INFRARED RADIANCES PART I OPERATIONAL IMPLEMENTATION SATELLITE RADIANCES MICROWAVE RADIANCES TROPICAL CYCLONES
英文关键词	data assimilation; numerical weather prediction; multigrid; NLS-4DVar; satellite radiation; precipitation
语种	英语
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
WOS记录号	WOS:000682994000004
来源期刊	JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/260262
推荐引用方式 GB/T 7714	Zhang, Hongqin,Tian, Xiangjun. Evaluating the Forecast Impact of Assimilating ATOVS Radiance With the Regional System of Multigrid NLS-4DVar Data Assimilation for Numerical Weather Prediction (SNAP)[J]. 中国科学院青藏高原研究所,2021,13(7).
APA	Zhang, Hongqin,&Tian, Xiangjun.(2021).Evaluating the Forecast Impact of Assimilating ATOVS Radiance With the Regional System of Multigrid NLS-4DVar Data Assimilation for Numerical Weather Prediction (SNAP).JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS,13(7).
MLA	Zhang, Hongqin,et al."Evaluating the Forecast Impact of Assimilating ATOVS Radiance With the Regional System of Multigrid NLS-4DVar Data Assimilation for Numerical Weather Prediction (SNAP)".JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS 13.7(2021).