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1.
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。  相似文献   

2.
全球大洋潮汐模式在南海的准确度评估   总被引:1,自引:0,他引:1       下载免费PDF全文
采用南海海域60个验潮站和22个TOPEX/Poseidon卫星高度计轨道交叉点的调和常数资料,对比了TPXO7.2、GOT00.2、NAO.99b和DTU10四种全球大洋潮汐模式M2、S2、K1、O1四个主要分潮调和常数在南海的准确度。为了准确评估这四种大洋潮汐模式在南海不同区域的准确度,本研究将南海分成了8个区分别进行了对比。结果表明,南海北部和东部区域,4个分潮都是DTU10准确度最高;南部区域,M2和O1分潮GOT00.2的偏差最小,S2和K1分潮DTU10的偏差最小。总体而言,在进行南海潮汐数值模拟选择开边界条件时,建议以DTU10模式为主,并利用GOT00.2模式作适当调整。还简单分析了南海M2、S2、K1、O1四个主要分潮的潮汐分布特征。  相似文献   

3.
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。  相似文献   

4.
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。  相似文献   

5.
联合利用中国沿岸长期验潮站实测资料和全球海潮模型NAO.99b在中国海域的结果,进行潮汐非调和常数的计算.分别对渤海、黄海、东海和南海进行分析,结果表明,中国海域潮汐类型复杂,渤海、黄海、东海以半日潮性质为主,南海以日潮性质为主;渤海、南海平均大潮差多分布在0.42~2.09 m,平均小潮差分布在0.27~1.33 m,东海、黄海平均大潮差多分布在1.12~4.44 m,平均小潮差多分布在0.41~2.41 m;渤海、黄海平均大潮高潮位分布在0.48~1.77 m,东海在0.42~2.41 m,南海在0.21~1.35 m;渤海、东海以及南海北部浅海海域潮高日不等现象显著.  相似文献   

6.
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。  相似文献   

7.
利用全球海潮模型FES2004、GOT4.7和NAO.99b研究了海潮负荷对成山头、平潭、遮浪和西沙四个国家海洋局GPS观测站位移的影响,结果表明,在沿海地区海潮负荷对单点定位的影响达到厘米级,在西沙甚至达到3 cm.此外,通过对3种海潮模型计算结果的对比分析可知,NAO.99b海潮模型最适用于我国沿海地区.  相似文献   

8.
深圳海域潮汐海啸波耦合数值研究   总被引:3,自引:0,他引:3  
以COMCOT海啸模式和TPXO7.1全球潮汐模式为基础,采用三层嵌套网格,建立了南海海啸与潮汐耦合计算模型,分析深圳海域海啸和潮汐相互作用。潮汐计算结果与实测数据吻合较好,高、低潮位平均误差小于15 cm,20 cm;在潮汐验证的基础上,以马尼拉海沟潜在地震海啸源为案例,进行8.0,9.0级地震海啸与潮汐耦合情景模拟计算,计算结果表明,9级地震海啸在深圳海域外海波高为140~150 cm,如先行波为正波发生在高潮时将产生异常高潮位,负波发生在低潮时将产生异常低潮位,线性叠加计算结果偏大,在25.0 cm之内,到达时间差异小于6 min。  相似文献   

9.
针对应用高度计数据建立的海潮模型在浅海海域精度较低的现状,提出采用移去-恢复技术联合利用19a T/P、Jason-1卫星原始轨道、变轨轨道高度计数据建立南海浅海海域高精度潮汐模型的方法。处理卫星高度计数据时以平均海平面为基准面,按纬差0.1°间隔采用沿迹分析提取南海海域原始轨道2 184个正常点和变轨轨道1 626个正常点;分别对原始轨道、变轨轨道正常点进行调和分析以及响应分析,得到潮汐主要分潮调和常数;进一步建立网格潮汐模型,讨论了不同分辨率潮汐模型的精度差异。基于验潮站数据集结果运用移去-恢复技术对所建潮汐模型进行改进,改进后潮汐模型4个最主要分潮O_1,K_1,M_2和S_2的RMS分别提高至7.76,9.40,13.86和8.51cm,RSS达到20.32cm,表明移去-恢复技术能够明显改善潮汐模型在浅海海域的精度。  相似文献   

10.
利用潮汐模型NAO.99Jb和FES2014确定了山东邻海的深度基准面模型并对其精度进行了评估,结果表明,NAO.99Jb模型确定的深度基准值L10的中误差为23.28 cm,FES2014模型确定的深度基准值L13的中误差为34.37 cm,长周期分潮的相对误差过大导致加入长周期分潮改正项后深度基准值中误差分别增大了11.04 cm和12.38 cm,较其他分潮对深度基准值精度的影响更明显,所以基于潮汐模型构建深度基准面模型时,长周期分潮部分必须加入实测数据改正。进一步采用山东邻海13个长期验潮站实测数据,定量地分析了长周期分潮对深度基准面确定的影响,结果表明,长周期分潮改正项的量值介于13.89~22.39 cm,平均改正值为18.03 cm,在深度基准值中占比达到15.15%。因此,长周期分潮改正对深度基准面的精确确定研究贡献较大,准确的长周期分潮模型是构建高精度深度基准面模型的基础。  相似文献   

11.
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.  相似文献   

12.
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.  相似文献   

13.
潮汐测量与验潮技术的发展   总被引:10,自引:0,他引:10  
潮汐是由各天体作用于地球上的引潮力所产生,不仅海洋中有潮汐,大气圈和地球固体部分也同样存在着潮汐。海道测量中的潮汐测量仅指海洋潮汐测量仅指海洋潮汐测量,潮汐测量的手段很多,主要包括采用水尺;浮子式、引压钟式、声学式、压力式验潮仪验潮。而GPS验潮及潮汐遥感测量等技术研究国内外正在开展。所有这些验潮技术各有自己的特点。  相似文献   

14.
Hong Zhao  Zhi Liu 《Marine Geodesy》2018,41(2):159-176
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.  相似文献   

15.
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。  相似文献   

16.
基于POM模式与blending同化法建立中国近海潮汐模型   总被引:2,自引:1,他引:1       下载免费PDF全文
利用POM海洋数值模式建立了中国近海(2°N-41°N,99°E~132°E)分辨率为5′×5′的潮汐模型,模式采用blending同化法同化了由10年TOPEX/Poseidon测高数据反演的潮汐参数与沿岸52个验潮站观测。精度分析表明建立的潮汐模型的8分潮RSS为12.5cm。  相似文献   

17.
We have computed estimates of the rate of vertical land motion in the Mediterranean Sea from differences of sea level heights measured by the TOPEX/Poseidon radar altimeter and by a set of tide gauge stations. The comparison of data at 16 tide gauges, using both hourly data from local datasets and monthly data from the PSMSL dataset, shows a general agreement, significant differences are found at only one location. Differences of near-simultaneous, monthly and deseasoned monthly sea level height time-series have been considered in order to reduce the error in the estimated linear-term. In a subset of 23 tide gauge stations the mean accuracy of the estimated vertical rates is 2.3 ± 0.8 mm/yr. Results for various stations are in agreement with estimates of vertical land motion from geodetic methods. A comparison with vertical motion estimated by GPS at four locations shows a mean difference of ?0.04 ± 1.8 mm/yr, however the length of the GPS time-series and the number of locations are too small to draw general conclusions.  相似文献   

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