东印度洋海域最优深度基准面模型构建

利用东印度洋海域周边长期验潮站实测数据、TOPEX/Poseidon等系列卫星测高反演结果,评估了DTU10,EOT11a,FES2014,GOT4.8,OSU12和TPXO8六种全球潮汐模型精度,根据卫星测高结果给出了浅水分潮改正量和长周期分潮改正量的经验模型,又在此基础上分析并构建了研究区域精度最优的深度基准面模型。考虑到全球潮汐模型在近岸的影响因素及验潮站位置,将13个验潮站分成开阔海域与近海海域两类,与潮汐模型的对比,结果表明,DTU10和FES2014模型分别在开阔海域和近海海域精度最优。根据潮汐模型在不同分潮处的精度,如EOT11a模型在O1和K1分潮处精度较高,DTU10在N2,M2,S2和K2分潮处精度较高等,分别构建了开阔海域与近海海域的组合深度基准面模型,计算得知误差分别为11.33和20.95 cm,其精度显著提高。     

三种最新全球海潮模型在中国沿海的精度评估

海潮负荷形变是我国沿海GNSS实时观测的重要误差源之一,分析和确定最优海潮模型进行负荷改正,有助于提高GNSS解算精度和可靠性。利用沿海33个验潮站连续3 a的实测潮位资料,以8个主要分潮(M₂、S₂、N₂、K₂、K₁、O₁、P₁和Q₁)的潮高和方根(Root Sum Squares,RSS)为评价指标,对最新全球海潮模型FES2014、EOT20和TPXO9在中国沿海的模型精度进行评估。结果表明：3种最新海潮模型相比其前期版本(FES2004、EOT11a和TPXO7.2),在中国沿海的模型精度整体改进幅度分别为72.39%、67.73%和31.37%;3种最新海潮模型中,FES2014在中国沿海的RSS均值和标准差分别为7.91和7.75 cm,模型精度相对最高,EOT20的模型精度略低于FES2014,二者精度均显著优于模型NAO.99jb和NAO.99b(后两处模型在先前研究中被认为在中国沿海精度较优),...     

调和常数及深度基准面的变化与历元订正

分析和验证了黄海沿岸部分长期验潮站M2分潮振幅的线性变化趋势及深度基准面L值增大趋势,发现了长周期分潮调和常数不稳定性对深度基准面确定的影响。研究表明,在剥离了深度基准面变化趋势后,由年观测数据分析结果确定的深度基准面可达到厘米级的精度水平,而由月分析结果确定的深度基准面存在周期性变化,其深度基准面不宜直接计算确定。论证了对潮汐调和常数附加历元信息的必要性和基本方案。通过研究得出对统一深度基准建立的指导性结论。     

利用验潮站数据进行三种潮汐模型的精度分析

采用全球分布的565个验潮站水位资料对NAO.99b,CSR4.0和TPXO7.2三种潮汐模型进行精度评估。结果表明:在全球海洋范围内,NAO.99b模型精度最高;在黄海海域,TPXO7.2模型的精度最高;在东海和南海海域,则是NAO.99b模型最优;在深海海域,三种模型精度差异不大;在浅海海域,采用同化方法的潮汐模型比采用经验方法的潮汐模型更有优势。     

七个海洋潮汐模式在浙江海域的准确度评估

利用浙江近岸33个潮位站的8个主要分潮(M_2,S_2,N_2,K_2,K_1,O_1,P_1和Q_1)的调和常数和潮高,对7个全球/区域潮汐模式(CSR4.0,FES2012,HAMTIDE11a,TPXO7.2,TPXO8-atlas,TPXO-CSI2016和NAO99Jb)的准确度进行了评估。以M2分潮的潮高均方根误差大小为标准,评估结果显示FES2012模式在浙江近海的准确度相对较高,33个潮位站平均的M2分潮潮高均方根误差为22.12cm。各模式在杭州湾和瓯江4个测站的准确度普遍较低,多模式平均的M2分潮潮高均方根误差都超过70cm。若不考虑上述4个测站,TPXO8-atlas模式的准确度最高,29个潮位站平均的M2分潮潮高均方根误差为16.38cm。综合来看,FES2012和TPXO8-atlas在浙江近海的准确度较高,可根据实际研究区域和分潮加以选择。     

山东沿海无缝深度基准面模型构建

无缝深度基准面模型的构建是实现海洋测绘成果基准统一的一项重要基础性工作,对于促进实现陆海统筹具有重要意义、根据我国目前规定采用的深度基准面,即理论最低潮面,以及国际上推荐使用的最低天文潮面,本文利用全球潮汐模型FES2014提供的13个分潮调和常数,分别构建了山东沿海(34.5°N-38.5°N,117.5°E-124°E)分辨率为1/16°×1/16°的理论最低潮面模型和最低天文潮面模型,对两者的基准值在该研究海域的分布情况进行了统计分析,分别位于-30.39 cm到-318.57 cm以及-33.69 cm到-318.76cm,并研究了两者的差异情况,差值介于-6.68cm到7.99cm,其中94.1%点位的差值位于±5 cm内,78.9%的点位表现为正值,说明在山东沿海的多数海域,最低天文潮面位于理论最低潮面以上。     

全球垂向位移负荷潮模式在渤海、黄海、东海及周边区域的准确度评估

本研究利用渤海、黄海、东海及周边区域21个GPS站的调和常数资料,对5个全球垂向位移负荷潮模式（FES2014、EOT11a、GOT4.10c、GOT4.8和NAO.99b）在渤海、黄海、东海及周边区域的准确度进行了评估。结果表明,在渤海、黄海、东海及周边区域,对于M₂分潮,FES2014和EOT11a模式结果准确度相对较高;对于S₂分潮,NAO.99b和EOT11a模式结果准确度相对较高;对于K₁分潮,EOT11a和FES2014模式结果准确度相对较高;对于O₁分潮,EOT11a和GOT4.8模式结果准确度相对较高;对于N₂分潮,EOT11a和FES2014模式结果准确度相对较高;对于K₂分潮,NAO.99b和FES2014模式结果准确度相对较高;对于P₁分潮,EOT11a和GOT4.8模式结果准确度相对较高;对于Q₁分潮,FES2014和EOT11a模式结果准确度相对较高。除此之外,本文还简单分析了渤海、黄海、东海及周边区域8个主要分潮的垂向位移负荷潮分布特征。     

理论最低潮面定义和算法的应用问题分析

分析了理论最低潮面定义的可能最低潮面含义，研究了定义实现算法的差异，发现了长周期分潮改正公式的错误。验潮站深度基准面的重新计算结果与采用值比较表明，在多数验潮站二者存在明显差别。指出在数字化海洋空间信息构建过程中，重新确定各站意义一致的深度基准面具有必要性。     

基于数值模拟的强潮海湾潮汐预报模型精度分析：以三门湾为例

全球潮汐预报模型在深水大洋具有较高的精度, 但在近岸强潮海区由于地形岸线、模型分辨率等原因精度不一, 难以直接应用。三门湾海域多年平均潮差4 m, 最大潮差可达7 m,是典型的强潮海湾, 为了评估TPXO9.0、TPXO9.0-atlas TOPEX/POSEIDON TIDES）、NAO.99b（National Astronomical Observatory of Japan）与GTM（Global Tide Model） 4 种预报模型在三门湾海域的预报精度, 本文分别通过上述4 个潮汐预报模型提取水动力数学模型开边界进行对比,并利用提取的开边界潮位对二维水动力模型进行驱动。通过计算分析潮位站实测数据与数值模拟结果的误差, 研究4 种预报模型模拟的三门湾潮汐变化得出, NAO.99b 模型在三门湾海域整体预报精度最佳, 分潮振幅、迟角和实测数据误差最小, TPXO9.0-atlas 分潮振幅模拟较好, 但迟角误差较大。对湾内四大分潮进行潮汐调和分析发现, 三门湾海域以半日潮为主, M2、S2 和K1分潮振幅由湾顶向湾口递减, O1分潮相反。     

天津海域深度基准面L值模型构建

基于天津港邻近海域构建的精密潮汐模型,由区域精密潮汐模型各网格点的调和常数,按深度基准面L值的定义算法计算生成网格形式的L值模型。采用天津海域11个验潮站的深度基准面L值对L值模型实施订正,构建了天津海域1'×1'的深度基准面L值模型。     

Ocean Tide Models Developed by Assimilating TOPEX/POSEIDON Altimeter Data into Hydrodynamical Model: A Global Model and a Regional Model around Japan

A global ocean tide model (NAO.99b model) representing major 16 constituents with a spatial resolution of 0.5° has been estimated by assimilating about 5 years of TOPEX/POSEIDON altimeter data into barotropic hydrodynamical model. The new solution is characterized by reduced errors in shallow waters compared to the other two models recently developed; CSR4.0 model (improved version of Eanes and Bettadpur, 1994) and GOT99.2b model (Ray, 1999), which are demonstrated in comparison with tide gauge data and collinear residual reduction test. This property mainly benefits from fine-scale along-track tidal analysis of TOPEX/POSEIDON data. A high-resolution (1/12°) regional ocean tide model around Japan (NAO.99Jb model) by assimilating both TOPEX/POSEIDON data and 219 coastal tide gauge data is also developed. A comparison with 80 independent coastal tide gauge data shows the better performance of NAO.99Jb model in the coastal region compared with the other global models. Tidal dissipation around Japan has been investigated for M₂ and K₁ constituents by using NAO.99Jb model. The result suggests that the tidal energy is mainly dissipated by bottom friction in localized area in shallow seas; the M₂ ocean tidal energy is mainly dissipated in the Yellow Sea and the East China Sea at the mean rate of 155 GW, while the K₁ energy is mainly dissipated in the Sea of Okhotsk at the mean rate of 89 GW. TOPEX/POSEIDON data, however, detects broadly distributed surface manifestation of M₂ internal tide, which observationally suggests that the tidal energy is also dissipated by the energy conversion into baroclinic tide.     

Accuracy assessment of global ocean tide models in the South China Sea using satellite altimeter and tide gauge data

In this study, to meet the need for accurate tidal prediction, the accuracy of global ocean tide models was assessed in the South China Sea (0°–26°N, 99°–121°E). Seven tide models, namely, DTU10, EOT11a, FES2014, GOT4.8, HAMTIDE12, OSU12 and TPXO8, were considered. The accuracy of eight major tidal constituents (i.e., Q₁, O₁, P₁, K₁, N₂, M₂, S₂ and K₂) were assessed for the shallow water and coastal areas based on the tidal constants derived from multi-mission satellite altimetry (TOPEX and Jason series) and tide gauge observations. The root mean square values of each constituent between satellite-derived tidal constants and tide models were found in the range of 0.72–1.90 cm in the deep ocean (depth>200 m) and 1.18–5.63 cm in shallow water area (depth<200 m). Large inter-model discrepancies were noted in the Strait of Malacca and the Taiwan Strait, which could be attributable to the complicated hydrodynamic systems and the paucity of high-quality satellite altimetry data. In coastal regions, an accuracy performance was investigated using tidal results from 37 tide gauge stations. The root sum square values were in the range of 9.35–19.11 cm, with the FES2014 model exhibiting slightly superior performance.     

Assessment of SARAL-ALTIKA Tidal Corrections in the Coastal Oceans Around India

The present tidal correction of sea level records of Satellite with ARgoes and ALtimeter (SARAL) is based on the finite element solution (FES) of global tide model FES2012 tidal solution. In this study, we examined the validity of the tidal corrections in the coastal oceans around India using tide gauge measurements and a regional tidal model. Our regional model is based on the barotropic version of the Princeton Ocean Model that is forced by the time-varying tidal levels at the open ocean end based on the global FES99 tidal solution. Tide charts prepared from the simulated tidal levels are very similar to the FES tidal solutions. Comparison with the tide gauge measurement shows close agreement with the regional tidal solutions. On the other hand, the agreement with the FES tide models differ significantly in the Gulf of Khambhat and the Gulf of Kutch on the northwest, and in the Hooghly estuary on the northeast continental shelf. However, the agreement is exceptional in other parts of the study domain. These tidal solutions are used in the SARAL-ALTIKA X-track data to assess the FES tidal correction and to draw some inferences associated with the coastal processes. It is revealed that these corrections are reasonably accurate for the coastal oceans around India except the aforementioned converging channels.     

全球大洋潮汐模式在北印度洋潮汐预报准确性的评估

为评估DTU10、TPXO8、GOT00.2和NAO.99b 4个全球大洋潮汐模式对北印度洋潮汐的预报能力,采用英国海洋资料中心提供的海区中部和沿岸站潮汐调和常数资料,检验了这些模式4个主要分潮(M_2、S_2、K_1、O_1)的准确度。它们的各分潮调和常数资料准确度都比较高,振幅绝均差的最大值仅5.61 cm,迟角绝均差的最大值仅9.13°。这些模式的调和常数给出潮波传播特征差别不大。基于这些模式提供的调和常数,分别建立了北印度洋4、8和16分潮潮汐预报模型,将预报结果与中国海事服务网提供的沿岸24个站潮汐表资料进行对比。各模式的8分潮(M_2、S_2、N_2、K_2、K_1、O_1、P_1、Q_1)潮汐预报模型均优于4分潮(M_2、S_2、K_1、O_1)潮汐预报模型,NAO.99b模式可以提供16分潮(M_2、S_2、N_2、K_2、K_1、O_1、P_1、Q_1、MU_2、NU_2、T_2、L_2、2N_2、J_1、M1、OO_1)潮汐预报模型,但是对预报结果改善不明显;在各模式中,GOT00.2模式的8分潮潮汐预报模型对北印度洋沿岸的预报效果最好,平均绝均差为14.97 cm。     

Preliminary results of the global ocean tide derived from HY-2A radar altimeter data

The HY-2A satellite, which is equipped with a radar altimeter and was launched on August 16, 2011, is the first Chinese marine dynamic environmental monitoring satellite. Extracting ocean tides is one of the important applications of the radar altimeter data. The radar altimeter data of the HY-2A satellite from November 1, 2011 to August 16, 2014 are used herein to extract global ocean tides. The constants representing the tidal constituents are extracted by HY-2A RA data with harmonic analysis ...     

Determination of Ocean Tide Loading Displacement by GPS PPP with Priori Information Constraint of NAO99b Global Ocean Tide Model

The published global ocean tide models show good agreement in deep oceans and exhibit differences in complex coastal areas, along with subsequent Ocean Tide Loading Displacement (OTLD) modeling differences. Meanwhile, OTLD parameters (amplitudes and phase lags) derived by Global Positioning System (GPS) Precise Point Positioning (PPP) approach need long time to converge to a stable state and show poor precision of S2, K1, and K2 constituents. Based on the fact that no constraint is imposed in the current kinematic solution, a new method is put forward, in which global ocean tide model predictions are taken as the priori information constraints to speed up the convergence rate and improve the accuracy of the GPS-derived OTLD parameters. First, the data of tide gauge from 01 January 2014 to 31 December 2016 are used to generate the harmonic parameters to evaluate the accuracy of six global ocean tide models and a regional ocean tide model (osu.chinesea.2010). Osu.chinesea.2010 model shows good agreement with the tide gauge results, while NAO99b model presents relatively large difference. The predictions from osu.chinesea.2010 and NAO99b model are employed as reference and the prior information, respectively. Second, continuous observations of 12 GPS sites during 2006–2013 in Hong Kong are collected to generate three dimensional OTLD amplitudes and phase lags of eight constituents using PPP with prior information constraints approach and harmonic analysis. Third, comparing the convergence time of eight constituents from PPP without and with priori information constraints approaches, the results show that the new method can significantly improve the convergence rate of OTLD amplitude estimates which obtain a certain level of stability seven years earlier than that derived by the PPP without priori information constraints. Precision of OTLD parameters derived by the new method is about 1 mm. By comparing with the precision of single PPP approach, the accuracy of eight constituents has been improved, especially for S2, K1, and K2 constituents. Finally, through comparing the different correction effects of OTLD estimates on the coordinates and their time series of the ground GPS stations, the results show that OTLD estimates derived by the new approach have similar influence as the osu.chinasea.2010 ocean tide model. The new method provides an effective means to improve the convergence and precision of the GPS-derived OTLD parameters, and achieve a similar correction as the high precision ocean tide model.     

基于FVCOM的南海北部海域潮汐潮流数值模拟

基于非结构三角形网格的FVCOM(finite-volume coastal ocean model )数值模型, 对南海北部海域的潮汐、潮流进行了精细化数值模拟研究, 并根据模拟结果详细分析了M2, S2, K1, O1 分潮的潮汐和潮流特征。研究结果表明: 神泉港到甲子港海域表现为正规全日潮性质, 珠江口附近海区潮汐以不正规半日潮为主, 其他海域主要表现为不规则全日潮; 陆架海域和深水海域主要表现为往复流, 陆架坡折区存在较强的旋转流, 陆架坡折区为不规则半日潮流和不规则全日潮流的分界线; 东沙群岛附近海域以不规则全日潮流为主, 旋转方向为顺时针; 整个海域的最大流速分布与等深线基本平行, 东沙群岛附近速度明显变大, 最大值出现在台湾浅滩附近, 最大值超过70 cm/s; 南海潮波系统以巴士海峡传入的大洋潮波为主, 分为三支潮流, 以不同的形式进出南海北部海域; 余流在台湾浅滩附近达到最大, 超过6 cm/s, 自南向北进入台湾海峡, 近岸余流自东向西沿岸流动。本研究在东沙群岛周边的模拟结果与前人基于实测资料的分析吻合较好, 并且由于采用了高精度的三角网格, 本文对东沙群岛周边海域的潮汐潮流结构和性质的刻画和分析是迄今为止较为精细的, 同时本研究还提高了对沿岸验潮站调和常数的模拟精度。