Regional Ocean Current Field Construction based on an Empirical Bayesian Kriging Algorithm using Multiple Underwater Gliders

克里金 水下 贝叶斯概率 水下滑翔机 电流(流体) 算法 领域(数学) 地质学 海洋学 计算机科学 海洋工程 人工智能 数学 机器学习 工程类 纯数学
作者
Runfeng Zhang,Shaoqiong Yang,Yanhui Wang,Yunlong Yin
出处
期刊:Journal of Coastal Research [BioOne (Coastal Education and Research Foundation)]
卷期号:99 (sp1): 41-41 被引量:6
标识
DOI:10.2112/si99-006.1
摘要

Zhang, R.; Yang, S.; Wang, Y., and Yin, Y., 2020. Regional ocean current field construction based on an empirical Bayesian kriging algorithm using multiple underwater gliders. In: Zheng, C.W.; Wang, Q.; Zhan, C., and Yang, S.B. (eds.), Air-Sea Interaction and Coastal Environments of the Maritime and Polar Silk Roads. Journal of Coastal Research, Special Issue No. 99, pp. 41-47. Coconut Creek (Florida), ISSN 0749-0208.The ocean current is an important component of the complex marine environment. Ocean current forecasting data mainly come from computational simulation, which merges satellite remote sensing data and in situ data measured from marine vehicles. Having a deep understanding of ocean currents is essential for ocean observation and path guidance of ships or other marine vehicles. In this paper, the regional depth-averaged flow is deduced according to the motion characteristics of underwater glider. Through virtual mooring observations of three underwater gliders in the northern South China Sea, sea trial data from June 25th to July 11th 2019 are obtained. After denoising and filtering, the depth-averaged flow data are used to construct the depth-averaged flow field with the spatial interpolation method. Then, the inverse distance weight (IDW) method, radial basis interpolation (RBI) method and empirical Bayesian kriging (EBK) method are adopted to construct the depth-averaged flow field. Thus, the results from the three constructed methods are compared with the real flow field data, demonstrating that the EBK method shows a better balance in interpolation accuracy and performance than the other methods. More specifically, for the EBK method, the mean error value is 0.00441, and the root-mean-square of error is 0.14977, which are lower than those of the other two methods. Furthermore, the evaluation results thoroughly verify the validity of the EBK method and prove that an underwater glider is a useful tool for observing ocean currents.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
corner发布了新的文献求助10
3秒前
HUS完成签到 ,获得积分20
3秒前
4秒前
zhq完成签到,获得积分10
5秒前
zhangjworks完成签到,获得积分10
5秒前
tuanheqi应助奋斗寄风采纳,获得50
6秒前
9秒前
11秒前
12秒前
小赞完成签到,获得积分10
13秒前
zxl发布了新的文献求助30
14秒前
Tohka完成签到 ,获得积分10
14秒前
15秒前
16秒前
工藤新一完成签到,获得积分10
16秒前
彭于晏应助无奈傲珊采纳,获得10
16秒前
抹缇卡完成签到 ,获得积分10
16秒前
18秒前
20秒前
柑橘乌云发布了新的文献求助10
21秒前
彻底的发布了新的文献求助10
21秒前
栗子完成签到 ,获得积分10
22秒前
隐形曼青应助柒柒球采纳,获得10
24秒前
25秒前
毛毛弟发布了新的文献求助10
26秒前
orange-study应助柑橘乌云采纳,获得10
27秒前
Olivia关注了科研通微信公众号
27秒前
28秒前
今后应助HEROTREE采纳,获得10
28秒前
高sir发布了新的文献求助30
29秒前
完美世界应助淳于觅云采纳,获得10
29秒前
金牌小魚仔应助gxy采纳,获得10
30秒前
yyy发布了新的文献求助10
31秒前
31秒前
司空以蕊完成签到,获得积分10
34秒前
彻底的完成签到,获得积分20
34秒前
科研野狗发布了新的文献求助10
34秒前
刘家翔完成签到,获得积分10
36秒前
36秒前
司空以蕊发布了新的文献求助10
37秒前
高分求助中
Востребованный временем 2500
Injection and Compression Molding Fundamentals 1000
Classics in Total Synthesis IV: New Targets, Strategies, Methods 1000
Mantids of the euro-mediterranean area 600
The Oxford Handbook of Educational Psychology 600
Mantodea of the World: Species Catalog Andrew M 500
Insecta 2. Blattodea, Mantodea, Isoptera, Grylloblattodea, Phasmatodea, Dermaptera and Embioptera 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 内科学 物理 纳米技术 计算机科学 基因 遗传学 化学工程 复合材料 免疫学 物理化学 细胞生物学 催化作用 病理
热门帖子
关注 科研通微信公众号,转发送积分 3422301
求助须知:如何正确求助?哪些是违规求助? 3022634
关于积分的说明 8901789
捐赠科研通 2710031
什么是DOI,文献DOI怎么找? 1486283
科研通“疑难数据库(出版商)”最低求助积分说明 686983
邀请新用户注册赠送积分活动 682206