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Improved prediction of oil drift pattern using ensemble of ocean currents 利用海流集合改进的石油漂移模式预测
IF 3.1 3区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2022-11-28 DOI: 10.1080/1755876x.2022.2147699
Prasad S.J, Balakrishnan Nair T.M, Balaji B
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引用次数: 1
Nesting and data assimilation considerations in regional operational ocean forecasting 区域业务海洋预报中的嵌套和数据同化考虑
IF 3.1 3区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2022-11-21 DOI: 10.1080/1755876x.2022.2147696
H. Ngodock, M. Carrier, J. Osborne, Scott R. Smith
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引用次数: 0
Swell and wind-sea partitioning of HF radar directional spectra 高频雷达方向谱的涌浪和风海分割
IF 3.1 3区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2022-09-28 DOI: 10.1080/1755876x.2022.2127232
L. Wyatt, J. Green
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引用次数: 2
Copernicus Ocean State Report, issue 6 哥白尼海洋状况报告,第6期
IF 3.1 3区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2022-08-31 DOI: 10.1080/1755876X.2022.2095169
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引用次数: 5
Atlas of surface currents in the Mediterranean and Canary–Iberian–Biscay waters 地中海和加那利-伊比利亚-比斯开水域的海流地图集
IF 3.1 3区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2022-07-25 DOI: 10.1080/1755876x.2022.2102357
Justino Martínez, E. García-Ladona, J. Ballabrera‐Poy, J. Isern‐Fontanet, Sergio González-Motos, J. Allegue, C. González‐Haro
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引用次数: 3
Sediment accretion in a lower-energetic location during two consecutive cold fronts 连续两次冷锋期间低能量区域的沉积物增加
IF 3.1 3区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2022-07-12 DOI: 10.1080/1755876X.2022.2100145
Vinícius S. Pessanha, P. Chu, Matt K. Gough
ABSTRACT During the passage of two consecutive atmospheric cold fronts that migrated eastward along the northern Gulf of Mexico, currents, waves, and seafloor elevation were observed from instrumentation attached to a metal structure called ‘quadpod’ at the 7.5 m bathymetric contour off the coast of Panama City, Florida. During the passage of the first front, significant wave height (Hs) increased from 0.15 m to 1.2 m, and seafloor elevation relative to the quadpod increased by up to 5 cm at the quadpod location. During the passage of the second front, Hs peaked at 2 m, and seafloor elevation increased by up to 15 cm over 24 h. The increase in the seafloor elevation is consistent with the burial of surrogate munitions observed with sonar imagery and with sediment accretion from a Delft3D simulation. The model predicts cross-shore seafloor changes with erosion nearshore and accretion offshore, starting at approximately 250 m from the coast. The seafloor elevation increase is attributed to sediment accretion driven by wave forcing. The results of this study have important implications for morphological changes and object burial during a period of front-driven waves in the northern Gulf of Mexico, which is typically a lower energetic environment.
在两个连续的大气冷锋沿着墨西哥湾北部向东移动的过程中,在佛罗里达州巴拿马城海岸7.5米的水深等高线上,通过连接在称为“四脚架”的金属结构上的仪器观察到洋流、波浪和海底海拔。在第一锋面通过期间,有效波高(Hs)从0.15 m增加到1.2 m,四足体位置的海底相对高程增加了5 cm。在第2锋通过期间,Hs在2 m处达到峰值,海底海拔在24 h内上升了15 cm。海底高度的增加与声纳图像观察到的替代弹药的埋藏和Delft3D模拟的沉积物增加相一致。该模型预测了从离海岸约250米处开始的跨海岸海底变化,近岸的侵蚀和近海的增生。海底高程的增加是由波浪强迫驱动的沉积物增加引起的。该研究结果对墨西哥湾北部典型的低能量环境下锋面驱动波时期的形态变化和物体埋藏具有重要意义。
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引用次数: 1
Development of small vessel advisory and forecast services system for safe navigation and operations at sea by N.D. Aditya, K.G. Sandhya, R. Harikumar and T.M. Balakrishnan 由N.D. Aditya, K.G. Sandhya, R. Harikumar和T.M. Balakrishnan开发的用于海上安全航行和操作的小型船舶咨询和预报服务系统
IF 3.1 3区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2022-06-30 DOI: 10.1080/1755876X.2022.2094633
D. Myrhaug, P. Lader
First, the discussers wish to compliment the authors, Aditya et al. (2022) (hereafter referred to as A22), on their results involving the development of a small vessel advisory and forecast services system for safe navigation and operation at sea for the Indian Ocean regime. These comments and discussion focus on the steepness index parameter (Is) used within the Small Vessel Advisory Services (SVAS) system (see Figure 3 in A22) and point out that regional wave statistics can be used to determine and review the properties of Is in relation to significant wave height, allowing a robust method for determining and quantifying warning thresholds. A22 used the steepness index as one of the three indices in the boat safety index (see Equation (6) in A22). The steepness index is given as
首先,讨论者希望对作者Aditya等人(2022)(以下简称A22)的成果表示赞赏,因为他们开发了一种小型船舶咨询和预报服务系统,用于印度洋地区的海上安全航行和操作。这些评论和讨论集中在小船咨询服务(SVAS)系统中使用的陡度指数参数(Is)上(见A22中的图3),并指出区域波浪统计数据可用于确定和审查与显著波高相关的Is属性,从而提供确定和量化预警阈值的可靠方法。A22将陡度指数作为船舶安全指数的三个指标之一(见A22式(6))。陡度指数为
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引用次数: 0
Comparative analysis of the performance of the GOFS, PSY4 and AMSEAS ocean model frameworks in the Virgin Islands and Puerto Rico coastal ocean GOFS、PSY4和AMSEAS海洋模式框架在维尔京群岛和波多黎各沿海的性能比较分析
IF 3.1 3区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2022-04-05 DOI: 10.1080/1755876x.2022.2059885
Sonaljit Mukherjee, S. Habtes, Paul Jobsis
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引用次数: 0
Performance assessment of a Persian Gulf wind and wave forecasting system 波斯湾风浪预报系统之效能评估
IF 3.1 3区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2022-02-01 DOI: 10.1080/1755876X.2021.2024949
S. B. S., Sashikant Nayak, V. Panchang
ABSTRACT Data from three satellites (JASON2, CRYOSAT, and SARAL/AltiKa) and two buoys were used to examine the performance of wind and wave forecasting models in the Persian Gulf. The quality of the satellite data was first examined by comparing them with buoy data. Wind speed data from all three satellites were found to be close to in situ measurements; for wave heights, SARAL/AltiKa data showed the best comparisons. Model forecasts and buoy data indicated correlation coefficients between 0.72 and 0.86 for wind speeds and 0.85–0.94 for wave heights. The forecast was more accurate at the open sea buoy than at the coastal buoy. Relative to SARAL/AltiKa data, which was preferred for assessing modelled wave heights, correlation coefficients were between 0.86 and 0.90. For modelled wind speeds, correlation coefficients with the consolidated satellite dataset were between 0.80 and 0.88. Some anomalous results were partly attributed to the exclusion of air–sea temperature differences. The likelihood of a given forecast representing a given sea state was estimated. Generally, for lead times up to 48 h, a user could have a 78–92% expectation that a SWH forecast > 1 m would lie within ±30% of a sea-state represented by the SARAL/AltiKa measurements.
利用JASON2、CRYOSAT和SARAL/AltiKa三颗卫星和两个浮标的数据,对波斯湾风浪预报模型的性能进行了研究。首先通过将卫星数据与浮标数据进行比较来检验卫星数据的质量。发现所有三颗卫星的风速数据与现场测量值接近;对于波高,SARAL/AltiKa的数据显示了最好的对比。模式预报和浮标数据表明,风速的相关系数在0.72 ~ 0.86之间,浪高的相关系数在0.85 ~ 0.94之间。远海浮标的预报精度高于沿海浮标。与SARAL/AltiKa数据相比,相关系数在0.86至0.90之间,后者是评估模拟波高的首选数据。对于模拟的风速,与合并卫星数据集的相关系数在0.80到0.88之间。有些反常的结果部分是由于排除了海气温差。对某一预报代表某一海况的可能性进行了估计。一般来说,对于长达48小时的预估时间,用户可以有78% - 92%的预期,SWH预测> 1米将位于由SARAL/AltiKa测量所代表的海况的±30%范围内。
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引用次数: 0
Creation of a global tide analysis dataset: Application of NEMO and an offline objective analysis scheme 全球潮汐分析数据集的创建:NEMO和离线客观分析方案的应用
IF 3.1 3区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2021-11-24 DOI: 10.1080/1755876X.2021.2000249
David Byrne, J. Polton, C. Bell
ABSTRACT The accurate prediction of tides is vital for the operation of many industries, early warning of coastal flooding and scientific understanding of ocean processes. In this paper, we describe the creation method of a global dataset of tidal harmonics using NEMO (Nucleus for European Modelling of the Ocean) for the first time and an offline objective analysis scheme. Data are assimilated as part of a post-processing step, reducing the computational resources required. A reduced ensemble of tidal harmonics is generated, where each member is run for a shorter period of time than a central background state. This ensemble is used to estimate a single background covariance state, which is used for analysis. Output is validated using an ensemble of objective analyses. For each ensemble member, random selections of observations are omitted and validation is performed at these locations. Improvements in both Mean Absolute Error (MAE) and correlation coefficients ( ) are seen across all 6 of the largest diurnal and semi-diurnal constituents. MAEs in amplitude and phase are reduced by up to and , respectively, and correlations by as much as 0.14. In addition, the majority of locations (between 70 and 80%) see significant improvement.
潮汐的准确预测对许多行业的运作、沿海洪水的早期预警和海洋过程的科学认识至关重要。本文介绍了首次使用NEMO (Nucleus for European Modelling of the Ocean)和离线客观分析方案创建全球潮汐谐波数据集的方法。数据作为后处理步骤的一部分被吸收,减少了所需的计算资源。产生了一个减少的潮汐谐波集合,其中每个成员运行的时间比中心背景状态短。该集合用于估计单个背景协方差状态,该状态用于分析。使用客观分析的集合来验证输出。对于每个集成成员,忽略随机选择的观察结果,并在这些位置执行验证。平均绝对误差(MAE)和相关系数()的改善在所有6个最大的日和半日成分中都可以看到。振幅和相位的MAEs分别减少了高达和,相关性减少了0.14。此外,大多数地区(在70%到80%之间)都看到了显著的改善。
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引用次数: 0
期刊
Journal of Operational Oceanography
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