气候变化领域集成服务门户(CCPortal): Assessing the Impact of Different Ocean Analysis Schemes on Oceanic and Underwater Acoustic Predictions

CCPortal

DOI	10.1029/2019JC015636
	Assessing the Impact of Different Ocean Analysis Schemes on Oceanic and Underwater Acoustic Predictions
	Storto A.; Falchetti S.; Oddo P.; Jiang Y.-M.; Tesei A.
发表日期	2020
ISSN	21699275
卷号	125 期号:7
英文摘要	Assimilating oceanic observations into prediction systems is an advantageous approach for real-time ocean environment characterization. However, its benefits to underwater acoustic predictions are not trivial due to the nonlinearity and sensitivity of underwater acoustic propagation to small-scale oceanic features. In order to assess the potential of oceanic data assimilation, integrated ocean-acoustic Observing System Simulation Experiments are conducted. Synthetic altimetry and in situ data were assimilated through a variational oceanographic data assimilation system. The predicted sound speed fields are then ingested in a range-dependent acoustic model for transmission loss (TL) predictions. The predicted TLs are analyzed for the purpose of (i) evaluating the contributions of different sources to the uncertainties of oceanic and acoustic forecasts and (ii) comparing the impact of different oceanic analysis schemes on the TL prediction accuracy. Using ensemble member clustering techniques, the contributions of boundary conditions, ocean parameterizations, and geoacoustic characterization to acoustic prediction uncertainties are addressed. Subsequently, the impact of three-dimensional variational (3DVAR), 4DVAR, and hybrid ensemble-3DVAR data assimilation on acoustic TL prediction at two signal frequencies (75 and 2,500 Hz) and different ranges (30 and 60 km) are compared. 3DVAR significantly improves the predicted TL accuracy compared to the control run. Promisingly, 4DVAR and hybrid data assimilation further improve the TL forecasts, the hybrid scheme achieving the highest skill scores for all cases, while being the most computationally intensive scheme. The optimal scheme choice thus depends on requirements on the accuracy and computational constraints. These findings foster developments of coupled data assimilation for operational underwater acoustic propagation. © 2020. American Geophysical Union. All Rights Reserved.
英文关键词	3DVAR; 4DVAR; hybrid scheme; perturbations; sound speed; transmission loss
语种	英语
来源期刊	Journal of Geophysical Research: Oceans
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/186789
作者单位	Centre for Maritime Research and Experimentation (CMRE), La Spezia, Italy; Now at School of Earth and Ocean Sciences, University of Victoria, Victoria, BC, Canada
推荐引用方式 GB/T 7714	Storto A.,Falchetti S.,Oddo P.,et al. Assessing the Impact of Different Ocean Analysis Schemes on Oceanic and Underwater Acoustic Predictions[J],2020,125(7).
APA	Storto A.,Falchetti S.,Oddo P.,Jiang Y.-M.,&Tesei A..(2020).Assessing the Impact of Different Ocean Analysis Schemes on Oceanic and Underwater Acoustic Predictions.Journal of Geophysical Research: Oceans,125(7).
MLA	Storto A.,et al."Assessing the Impact of Different Ocean Analysis Schemes on Oceanic and Underwater Acoustic Predictions".Journal of Geophysical Research: Oceans 125.7(2020).