联合CTD、海底地形和ARGO数据构建北太平洋深海时变温度模型

doi:10.13474/j.cnki.11-2246.2023.0365

测绘通报 ›› 2023, Vol. 0 ›› Issue (12): 94-101,126.doi: 10.13474/j.cnki.11-2246.2023.0365

• 学术研究 • 上一篇

联合CTD、海底地形和ARGO数据构建北太平洋深海时变温度模型

张金辉¹, 李姗姗¹, 杨光², 范雕¹, 凌晴³

1. 信息工程大学, 河南郑州 450000;
2. 华北水利水电大学, 河南郑州 450000;
3. 兰州理工大学, 甘肃兰州 730000

收稿日期:2023-03-04 修回日期:2023-08-19 发布日期:2024-01-08
作者简介:张金辉(1983-),男,博士生,副教授,主要研究方向为海平面变化。E-mail:fei96xiang@126.com
基金资助:
国家自然科学基金(41774018;41674082);地理信息工程国家重点实验室开放基金(SKLGIE2019-M-1-3)

The construction of the deep-sea time variant thermohaline model in the North Pacific Ocean by combining CTD, seabed terrain and ARGO data

ZHANG Jinhui¹, LI Shanshan¹, YANG Guang², FAN Diao¹, LING Qing³

1. Information Engineering University, Zhengzhou 450000, China;
2. North China University of Water Resources and Electric Power, Zhengzhou 450000, China;
3. Lanzhou University of Technology, Lanzhou 730000, China

Received:2023-03-04 Revised:2023-08-19 Published:2024-01-08

摘要/Abstract

摘要： 面对深海温度实测数据不足的现实,本文依据CTD温度剖面随海深变化特性对北太平洋海域重新划分区域,联合海底地形和Argo数据构建了2005—2020年北太平洋深海月均格网化温度模型,并反演了其深海比容海平面变化。试验结果表明:①本文构建的深海温度剖面均值数学模型相较于其他数学模型与CTD实测数据的差异小1～2个数量级,更能准确地反映各区域深海温度剖面随海深变化特性;②本文构建的深海温度模型与CTD实测数据、EN4的差异最大不超过0.20℃和0.60℃,平均差异不超过0.03℃和0.50℃,标准差不超过0.06℃和0.002℃;③基于该温度模型和EN4计算得到的北太平洋深海比容海平面变化趋势基本一致,其中2005—2010年上升趋势分别为0.52±0.09和0.73±0.11 mm/a,2010—2020年上升趋势分别为0.02±0.03和-0.01±0.01 mm/a,与相关文献基于热含量变化研究结论一致,整个研究时间段内上升趋势分别为0.11±0.17和0.09±0.11 mm/a。这说明本文构建的深海温度模型数据具有一定的可靠性,对于细化区域海平面平衡方程成因变化具有一定的参考价值。

关键词: CTD, 深海, 温度区域, 模型构建, 深海比容海平面变化

Abstract: Faced with the fact that the measured data of deep-sea temperature are insufficient, this paper redivided the experimental sea area of the North Pacific ocean according to the characteristics of CTD temperature profile changing with sea depth. Combined with the seabed terrain and Argo data, the deep-sea monthly grid temperature model of the North Pacific ocean from 2005 to 2020 is constructed,and the deep ocean steric sea level change is inversed. The experiments results show that: ①Compared with other mathematical model, the difference between the mean mathematical model of deep-sea temperature profile constructed in this paper and the measured data of CTD is 1～2 orders of magnitude smaller, which can more accurately reflect the characteristics of deep-sea temperature profiles changing with sea depth.in various regions. ②The maximum difference between temperature model data and CTD measured data, EN4 do not exceed 0.20℃ and 0.60℃, the average do not exceed 0.03℃ and 0.50℃, and the standard deviation not exceed 0.06℃ and 0.002℃.③ Based on the temperature model and EN4, the deep ocean steric sea level change in the North Pacific ocean is basically consistent, in which the rising trend from 2005 to 2010 is 0.52±0.09 and 0.73±0.11 mm/a, and the rising trend from 2010 to 2020 is 0.02±0.03 and -0.01±0.01 mm/a,which is consistent with the research conclusion based on heat content change in relevant literature.The rising trend in the whole study period is 0.11±0.17 and 0.09±0.11 mm/a. This shows that the temperature model data constructed in this paper has a certain reliability, which have a certain reference value for refining the genetic changes of regional sea level balance equation.

Key words: CTD, deep-sea, thermohaline area, model construction, deep ocean steric sea level change

中图分类号:

P229

张金辉, 李姗姗, 杨光, 范雕, 凌晴. 联合CTD、海底地形和ARGO数据构建北太平洋深海时变温度模型[J]. 测绘通报, 2023, 0(12): 94-101,126.

ZHANG Jinhui, LI Shanshan, YANG Guang, FAN Diao, LING Qing. The construction of the deep-sea time variant thermohaline model in the North Pacific Ocean by combining CTD, seabed terrain and ARGO data[J]. Bulletin of Surveying and Mapping, 2023, 0(12): 94-101,126.

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联合CTD、海底地形和ARGO数据构建北太平洋深海时变温度模型

The construction of the deep-sea time variant thermohaline model in the North Pacific Ocean by combining CTD, seabed terrain and ARGO data

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