Pub Date : 2019-04-23DOI: 10.1080/1755876X.2019.1606880
J. S. Carvalho, F. Costa, D. Mignac, D. Mignac, C. Tanajura
ABSTRACT The Brazilian Oceanographic Modeling and Observation Network (REMO, acronym for ‘Rede de Modelagem e Observação Oceanográfica’ in Portuguese) has developed the REMO Ocean Data Assimilation System (RODAS). It is based on an Ensemble Optimal Interpolation scheme applied into the Hybrid Coordinate Ocean Model (HYCOM). This study aims to investigate the extended-range predictability of the HYCOM + RODAS System over the western South Atlantic by using its analyses as initial condition for 48 hindcasts, each covering 30 days. The outputs were compared to persistence (no change from the initial condition) and to a model free run. The hindcasts had the lowest root mean square difference (RMSD) and highest correlation of sea surface temperature (SST) and sea level anomaly (SLA) at all lead times. By the 30th day, persistence RMSD reached 1.09°C and 0.08 m for SST and SLA, respectively, while the hindcast RMSD reached 0.46°C and 0.05 m. The free run RMSD was almost constant with an average of 0.88°C and 0.13 m. In the subsurface, hindcast RMSD increase was even lower. The results suggest that HYCOM + RODAS predictive skill extends for more than a month and the thermohaline state of the ocean was consistently improved with respect to the free model run.
巴西海洋模拟和观测网(REMO，葡萄牙语“Rede de Modelagem e observa o Oceanográfica”的缩写)开发了REMO海洋数据同化系统(RODAS)。它是基于应用于混合坐标海洋模型(HYCOM)的集成最优插值方案。本研究以HYCOM + RODAS系统为初始条件，对南大西洋西部的48个30天的预报进行了分析，探讨了该系统的大范围可预测性。将输出与持久化(与初始条件相比没有变化)和模型自由运行进行比较。各预报时段的海温(SST)和海平面异常(SLA)的均方根差(RMSD)最小，相关系数最高。到第30天，海表温度和SLA的持续RMSD分别达到1.09°C和0.08 m，而后播RMSD达到0.46°C和0.05 m。自由运行的RMSD几乎是恒定的，平均为0.88°C和0.13 m。在地下，后投RMSD的增加甚至更低。结果表明，HYCOM + RODAS预测能力延长了一个多月，海洋的温盐状态相对于自由模式运行持续改善。
{"title":"Assessing the extended-range predictability of the ocean model HYCOM with the REMO ocean data assimilation system (RODAS) in the South Atlantic","authors":"J. S. Carvalho, F. Costa, D. Mignac, D. Mignac, C. Tanajura","doi":"10.1080/1755876X.2019.1606880","DOIUrl":"https://doi.org/10.1080/1755876X.2019.1606880","url":null,"abstract":"ABSTRACT The Brazilian Oceanographic Modeling and Observation Network (REMO, acronym for ‘Rede de Modelagem e Observação Oceanográfica’ in Portuguese) has developed the REMO Ocean Data Assimilation System (RODAS). It is based on an Ensemble Optimal Interpolation scheme applied into the Hybrid Coordinate Ocean Model (HYCOM). This study aims to investigate the extended-range predictability of the HYCOM + RODAS System over the western South Atlantic by using its analyses as initial condition for 48 hindcasts, each covering 30 days. The outputs were compared to persistence (no change from the initial condition) and to a model free run. The hindcasts had the lowest root mean square difference (RMSD) and highest correlation of sea surface temperature (SST) and sea level anomaly (SLA) at all lead times. By the 30th day, persistence RMSD reached 1.09°C and 0.08 m for SST and SLA, respectively, while the hindcast RMSD reached 0.46°C and 0.05 m. The free run RMSD was almost constant with an average of 0.88°C and 0.13 m. In the subsurface, hindcast RMSD increase was even lower. The results suggest that HYCOM + RODAS predictive skill extends for more than a month and the thermohaline state of the ocean was consistently improved with respect to the free model run.","PeriodicalId":50105,"journal":{"name":"Journal of Operational Oceanography","volume":"47 1","pages":"13 - 23"},"PeriodicalIF":3.1,"publicationDate":"2019-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85092735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-16DOI: 10.1080/1755876X.2019.1606879
Adam M. Schaefer, M. Hanisak, M. McFarland, J. Sullivan
ABSTRACT The Indian River Lagoon (IRL) is a large and complex barrier island estuary on Florida’s East coast. The system is also one of the nation’s most biologically diverse, a major spawning and nursery ground for numerous species of fish and shellfish, and home to significant populations of dolphins and manatees. Ocean observing systems can play an integral role in evaluating the effects of both natural (e.g. climate change) and anthropogenic impacts (e.g. nutrient pollution) on such a complex system. In this paper we present an integrated multidisciplinary approach to studying the recurrent large-scale harmful algal bloom (HAB) events that have threatened both the ecological and economic stability of the IRL and represent a significant public health hazard. Due to the complex biological, chemical and physical interactions associated with IRL HABs, the integration of classical observing methodology, such as phytoplankton surveys, with real-time water quality monitoring, innovative technology, and biological sentinels, is essential. The open sharing of data for research, education and public engagement is another key component of our approach. There are multiple stakeholders and end users that rely on these efforts to understand HAB dynamics in a unique marine system.
{"title":"Integrated observing systems: An approach to studying harmful algal blooms in south Florida","authors":"Adam M. Schaefer, M. Hanisak, M. McFarland, J. Sullivan","doi":"10.1080/1755876X.2019.1606879","DOIUrl":"https://doi.org/10.1080/1755876X.2019.1606879","url":null,"abstract":"ABSTRACT The Indian River Lagoon (IRL) is a large and complex barrier island estuary on Florida’s East coast. The system is also one of the nation’s most biologically diverse, a major spawning and nursery ground for numerous species of fish and shellfish, and home to significant populations of dolphins and manatees. Ocean observing systems can play an integral role in evaluating the effects of both natural (e.g. climate change) and anthropogenic impacts (e.g. nutrient pollution) on such a complex system. In this paper we present an integrated multidisciplinary approach to studying the recurrent large-scale harmful algal bloom (HAB) events that have threatened both the ecological and economic stability of the IRL and represent a significant public health hazard. Due to the complex biological, chemical and physical interactions associated with IRL HABs, the integration of classical observing methodology, such as phytoplankton surveys, with real-time water quality monitoring, innovative technology, and biological sentinels, is essential. The open sharing of data for research, education and public engagement is another key component of our approach. There are multiple stakeholders and end users that rely on these efforts to understand HAB dynamics in a unique marine system.","PeriodicalId":50105,"journal":{"name":"Journal of Operational Oceanography","volume":"16 24","pages":"S187 - S198"},"PeriodicalIF":3.1,"publicationDate":"2019-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/1755876X.2019.1606879","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72489657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-09DOI: 10.1080/1755876X.2019.1602102
Jonathan V. Durgadoo, A. Biastoch, A. New, S. Rühs, A. Nurser, Y. Drillet, J. Bidlot
ABSTRACT Modelling the drift of marine debris in quasi-real time can be of societal relevance. One pertinent example is Malaysia Airlines flight MH370. The aircraft is assumed to have crashed in the Indian Ocean, leaving floating wreckage to drift on the surface. Some of these items were recovered around the western Indian Ocean. We use ocean currents simulated by an operational ocean model in conjunction with surface Stokes drift to determine the possible paths taken by the debris. We consider: (1) How important is the influence of surface waves on the drift? (2) What are the relative benefits of forward- and backward-tracking in time? (3) Does including information from more items refine the most probable crash-site region? Our results highlight a critical contribution of Stokes drift and emphasise the need to know precisely the buoyancy characteristics of the items. The differences between the tracking approaches provide a measure of uncertainty which can be minimised by simulating a sufficiently large number of virtual debris. Given the uncertainties associated with the timings of the debris sightings, we show that at least 5 items are required to achieve an optimal most probable crash-site region. The results have implications for other drift simulation applications.
{"title":"Strategies for simulating the drift of marine debris","authors":"Jonathan V. Durgadoo, A. Biastoch, A. New, S. Rühs, A. Nurser, Y. Drillet, J. Bidlot","doi":"10.1080/1755876X.2019.1602102","DOIUrl":"https://doi.org/10.1080/1755876X.2019.1602102","url":null,"abstract":"ABSTRACT Modelling the drift of marine debris in quasi-real time can be of societal relevance. One pertinent example is Malaysia Airlines flight MH370. The aircraft is assumed to have crashed in the Indian Ocean, leaving floating wreckage to drift on the surface. Some of these items were recovered around the western Indian Ocean. We use ocean currents simulated by an operational ocean model in conjunction with surface Stokes drift to determine the possible paths taken by the debris. We consider: (1) How important is the influence of surface waves on the drift? (2) What are the relative benefits of forward- and backward-tracking in time? (3) Does including information from more items refine the most probable crash-site region? Our results highlight a critical contribution of Stokes drift and emphasise the need to know precisely the buoyancy characteristics of the items. The differences between the tracking approaches provide a measure of uncertainty which can be minimised by simulating a sufficiently large number of virtual debris. Given the uncertainties associated with the timings of the debris sightings, we show that at least 5 items are required to achieve an optimal most probable crash-site region. The results have implications for other drift simulation applications.","PeriodicalId":50105,"journal":{"name":"Journal of Operational Oceanography","volume":"9 1","pages":"1 - 12"},"PeriodicalIF":3.1,"publicationDate":"2019-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88799896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-16DOI: 10.1080/1755876X.2019.1588697
K. Chakraborty, Nimit Kumar, M. Girishkumar, G. Gupta, Jayashree Ghosh, T. U. Udaya Bhaskar, V. P. Thangaprakash
ABSTRACT The resolution of the model emerges to be an important factor in simulating the real oceanic features. In this paper, the performance of two coupled bio-physical models, having spatial resolutions 1/12° (∼9 km) and 1/4° (∼25 km) configured using Regional Ocean Modeling System (ROMS), have been evaluated in simulating upper ocean dynamics of the Arabian Sea. A comparison of the model simulated physical and biogeochemical fields with the observations from remote sensing, in-situ ship-borne, and Biogeochemical-Argo (BGC-Argo) floats showed that the high-resolution model reproduced the ocean physical and biogeochemical dynamics, and their seasonality more efficiently. The upper ocean dynamics associated with the variability of mixed layer depth, persistent occurrence of deep chlorophyll maxima, and seasonal phytoplankton blooms. as well as deep ocean characteristics of oxygen minimum zone were much effectively captured by the high-resolution model than by its counterpart. Similarly, the former model performed very well in reproducing the upwelling dynamics over the eastern continental shelf indicating that the open ocean-coastal coupling has been better established. Our analysis indicates that the realistic representation of the eddy fields by the high-resolution model leads to the better representation of the ocean fields in comparison to the coarse-resolution model.
{"title":"Assessment of the impact of spatial resolution on ROMS simulated upper-ocean biogeochemistry of the Arabian Sea from an operational perspective","authors":"K. Chakraborty, Nimit Kumar, M. Girishkumar, G. Gupta, Jayashree Ghosh, T. U. Udaya Bhaskar, V. P. Thangaprakash","doi":"10.1080/1755876X.2019.1588697","DOIUrl":"https://doi.org/10.1080/1755876X.2019.1588697","url":null,"abstract":"ABSTRACT The resolution of the model emerges to be an important factor in simulating the real oceanic features. In this paper, the performance of two coupled bio-physical models, having spatial resolutions 1/12° (∼9 km) and 1/4° (∼25 km) configured using Regional Ocean Modeling System (ROMS), have been evaluated in simulating upper ocean dynamics of the Arabian Sea. A comparison of the model simulated physical and biogeochemical fields with the observations from remote sensing, in-situ ship-borne, and Biogeochemical-Argo (BGC-Argo) floats showed that the high-resolution model reproduced the ocean physical and biogeochemical dynamics, and their seasonality more efficiently. The upper ocean dynamics associated with the variability of mixed layer depth, persistent occurrence of deep chlorophyll maxima, and seasonal phytoplankton blooms. as well as deep ocean characteristics of oxygen minimum zone were much effectively captured by the high-resolution model than by its counterpart. Similarly, the former model performed very well in reproducing the upwelling dynamics over the eastern continental shelf indicating that the open ocean-coastal coupling has been better established. Our analysis indicates that the realistic representation of the eddy fields by the high-resolution model leads to the better representation of the ocean fields in comparison to the coarse-resolution model.","PeriodicalId":50105,"journal":{"name":"Journal of Operational Oceanography","volume":"1 1","pages":"116 - 142"},"PeriodicalIF":3.1,"publicationDate":"2019-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91127682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-06DOI: 10.1080/1755876X.2019.1582129
E. Heslop, J. Tintoré, Paz Rotllán, D. Álvarez-Berastegui, Biel Fontera, B. Mourre, L. Gómez‐Pujol, D. March, B. Casas, G. Nolan, D. Durand
ABSTRACT In the last 10 years, new monitoring and modelling technologies have emerged allowing real-time observation and forecasting of the coastal ocean at regional and local scales. These technologies are at the core of multi-platform integrated observing and forecasting systems, such as the Balearic Islands Coastal Ocean Observing and Forecasting System (SOCIB). New capabilities to characterise the state of the ocean and its variability at finer spatial and temporal scales are emerging, supporting science and products for society. SOCIB has a well-defined mission to deliver ocean observing for the benefit of science and society. From initiation in 2010, SOCIB has provided high-quality, free and open data. In order to increase our utility, we developed a Products and Services Strategy rooted in business best practice. Ten sectors – groups of users with common data needs – were identified, for which SOCIB has information and knowledge of high value. Dedicated products were developed in cooperation with the end-users: beach lifeguards/managers and sustainable marine resources managers. We illustrate an integrative approach, combining business concepts with collaborative software development methodologies and ocean observing science, to turn ocean observations and forecasts into products and services, with benefits for society in the sustainable blue economy era.
{"title":"SOCIB integrated multi-platform ocean observing and forecasting: from ocean data to sector-focused delivery of products and services","authors":"E. Heslop, J. Tintoré, Paz Rotllán, D. Álvarez-Berastegui, Biel Fontera, B. Mourre, L. Gómez‐Pujol, D. March, B. Casas, G. Nolan, D. Durand","doi":"10.1080/1755876X.2019.1582129","DOIUrl":"https://doi.org/10.1080/1755876X.2019.1582129","url":null,"abstract":"ABSTRACT In the last 10 years, new monitoring and modelling technologies have emerged allowing real-time observation and forecasting of the coastal ocean at regional and local scales. These technologies are at the core of multi-platform integrated observing and forecasting systems, such as the Balearic Islands Coastal Ocean Observing and Forecasting System (SOCIB). New capabilities to characterise the state of the ocean and its variability at finer spatial and temporal scales are emerging, supporting science and products for society. SOCIB has a well-defined mission to deliver ocean observing for the benefit of science and society. From initiation in 2010, SOCIB has provided high-quality, free and open data. In order to increase our utility, we developed a Products and Services Strategy rooted in business best practice. Ten sectors – groups of users with common data needs – were identified, for which SOCIB has information and knowledge of high value. Dedicated products were developed in cooperation with the end-users: beach lifeguards/managers and sustainable marine resources managers. We illustrate an integrative approach, combining business concepts with collaborative software development methodologies and ocean observing science, to turn ocean observations and forecasts into products and services, with benefits for society in the sustainable blue economy era.","PeriodicalId":50105,"journal":{"name":"Journal of Operational Oceanography","volume":"12 1","pages":"S67 - S79"},"PeriodicalIF":3.1,"publicationDate":"2019-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87202704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-02-11DOI: 10.1080/1755876X.2019.1574951
K. Chakraborty, S. Maity, A. Lotliker, A. Samanta, Jayashree Ghosh, N. K. Masuluri, N. Swetha, Rose P. Bright
ABSTRACT The operational Potential Fishing Zone (PFZ) advisory generated and disseminated by the ESSO-Indian National Centre for Ocean Information Services has a significant impact on the livelihood of coastal community of India. PFZs are identified as the relatively narrow zones in the ocean where horizontal gradients of physical and/or biological properties are enhanced. The advisories are provided to fishermen on a daily basis using remotely sensed sea surface temperature (SST) and chlorophyll-a (Chl-a) data from NOAA-AVHRR and MODIS-AQUA and/or Oceansat-2 satellites, respectively. Sometimes it becomes a major challenge to retrieve SST/Chl-a data from satellite images, particularly during the extensive cloud coverage. To overcome this operational difficulty, the satellite data is replaced by a coupled physical-biogeochemical model data capable of simulating ocean features leading to PFZs. The use of model data provides an additional advantage towards transforming the existing service from advisories to forecast. The average length of PFZs identified from satellite (model) data (2010–2016) for off Gujarat is 27.80 ± 7.2 km (33.07 ± 3.2 km) whereas for off Andhra Pradesh, it is 28.27 ± 10.9 km (52.48 ± 8.7 km). Considering the capability of the model in identifying PFZs, the existing advisory service can be transitioned into a short term PFZ forecast.
{"title":"Modelling of marine ecosystem in regional scale for short term prediction of satellite-aided operational fishery advisories","authors":"K. Chakraborty, S. Maity, A. Lotliker, A. Samanta, Jayashree Ghosh, N. K. Masuluri, N. Swetha, Rose P. Bright","doi":"10.1080/1755876X.2019.1574951","DOIUrl":"https://doi.org/10.1080/1755876X.2019.1574951","url":null,"abstract":"ABSTRACT The operational Potential Fishing Zone (PFZ) advisory generated and disseminated by the ESSO-Indian National Centre for Ocean Information Services has a significant impact on the livelihood of coastal community of India. PFZs are identified as the relatively narrow zones in the ocean where horizontal gradients of physical and/or biological properties are enhanced. The advisories are provided to fishermen on a daily basis using remotely sensed sea surface temperature (SST) and chlorophyll-a (Chl-a) data from NOAA-AVHRR and MODIS-AQUA and/or Oceansat-2 satellites, respectively. Sometimes it becomes a major challenge to retrieve SST/Chl-a data from satellite images, particularly during the extensive cloud coverage. To overcome this operational difficulty, the satellite data is replaced by a coupled physical-biogeochemical model data capable of simulating ocean features leading to PFZs. The use of model data provides an additional advantage towards transforming the existing service from advisories to forecast. The average length of PFZs identified from satellite (model) data (2010–2016) for off Gujarat is 27.80 ± 7.2 km (33.07 ± 3.2 km) whereas for off Andhra Pradesh, it is 28.27 ± 10.9 km (52.48 ± 8.7 km). Considering the capability of the model in identifying PFZs, the existing advisory service can be transitioned into a short term PFZ forecast.","PeriodicalId":50105,"journal":{"name":"Journal of Operational Oceanography","volume":"6 1","pages":"S157 - S175"},"PeriodicalIF":3.1,"publicationDate":"2019-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72748856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-02-08DOI: 10.1080/1755876X.2019.1576275
C. Ferrarin, S. Davolio, D. Bellafiore, M. Ghezzo, F. Maicu, William Joseph Mc Kiver, O. Drofa, G. Umgiesser, M. Bajo, F. De Pascalis, P. Malguzzi, L. Zaggia, G. Lorenzetti, Giorgia Manfè
ABSTRACT The oceanographic forecast capability in coastal seas is often limited by the capacity of the numerical models in correctly reproducing the complex morphology of the coastline and the exchange processes between the shelf and the open seas. In the marginal Adriatic Sea this task is of uppermost importance due to the presence of several coastal water bodies and rivers. We present here a new operational oceanographic system, called Tiresias, based on the unstructured grid model SHYFEM and representing the whole Adriatic Sea together with the lagoons of Marano-Grado, Venice and Po Delta. The novelty of this oceanographic system resides in the very high-resolution, up to 10 m, of the numerical mesh, and in the high spatial and temporal resolution of the forcing and boundary conditions that drive the forecasts. The forecast results are evaluated against sea temperature and salinity profiles, mean circulation fields derived from a regional ocean model, tide gauges and drifter trajectory. The presented results highlighted the capacity of Tiresias in forecasting the general circulation in the Adriatic Sea, as well as several relevant coastal dynamics, such as saltwater intrusion, storm surge and riverine waters dispersion.
{"title":"Cross-scale operational oceanography in the Adriatic Sea","authors":"C. Ferrarin, S. Davolio, D. Bellafiore, M. Ghezzo, F. Maicu, William Joseph Mc Kiver, O. Drofa, G. Umgiesser, M. Bajo, F. De Pascalis, P. Malguzzi, L. Zaggia, G. Lorenzetti, Giorgia Manfè","doi":"10.1080/1755876X.2019.1576275","DOIUrl":"https://doi.org/10.1080/1755876X.2019.1576275","url":null,"abstract":"ABSTRACT The oceanographic forecast capability in coastal seas is often limited by the capacity of the numerical models in correctly reproducing the complex morphology of the coastline and the exchange processes between the shelf and the open seas. In the marginal Adriatic Sea this task is of uppermost importance due to the presence of several coastal water bodies and rivers. We present here a new operational oceanographic system, called Tiresias, based on the unstructured grid model SHYFEM and representing the whole Adriatic Sea together with the lagoons of Marano-Grado, Venice and Po Delta. The novelty of this oceanographic system resides in the very high-resolution, up to 10 m, of the numerical mesh, and in the high spatial and temporal resolution of the forcing and boundary conditions that drive the forecasts. The forecast results are evaluated against sea temperature and salinity profiles, mean circulation fields derived from a regional ocean model, tide gauges and drifter trajectory. The presented results highlighted the capacity of Tiresias in forecasting the general circulation in the Adriatic Sea, as well as several relevant coastal dynamics, such as saltwater intrusion, storm surge and riverine waters dispersion.","PeriodicalId":50105,"journal":{"name":"Journal of Operational Oceanography","volume":"7 1","pages":"103 - 86"},"PeriodicalIF":3.1,"publicationDate":"2019-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90778400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-28DOI: 10.1080/1755876X.2019.1569748
Artur Nowicki, M. Janecki, L. Dzierzbicka-Glowacka
ABSTRACT The upwelling in the Baltic Sea region is very common phenomenon. According to different studies, in some places it can exist almost one-third of the year leading to vertical mixing and transporting fresh, rich in nutrients water from deeper layers to the surface. The upwelling phenomenon has been analysed for years 2010–2016, during thermally stratified period, i.e. between May and September. Surface layer temperature from coupled ecosystem model of the Baltic Sea – 3D CEMBS was analysed together with NOAA/AVHRR satellite SST observations. Wind data from weather forecasting model – UM from ICM UW were also analysed to describe favourable conditions for the upwelling occurrences. The research includes statistical analysis of entire Baltic Sea region as well as particular examples from selected areas. Areas of upwelling occurrences were found along almost entire coastline of the Baltic Sea. Main areas were located along Swedish coast in Baltic Proper, Oland and along Finnish coast in the Gulf of Finland, where the event can last up to 30% of the time. Other areas, with frequencies over 20%, include Polish coast, Gotland and Bay of Bothnia. It was determined that collected results were in good agreement with earlier studies, with satellite data giving slightly higher frequencies closer to the shore. Based on these results, an automated coastal upwelling detection system was designed and launched in operational mode together with the 3D CEMBS model.
{"title":"Operational system for automatic coastal upwelling detection in the Baltic Sea based on the 3D CEMBS model","authors":"Artur Nowicki, M. Janecki, L. Dzierzbicka-Glowacka","doi":"10.1080/1755876X.2019.1569748","DOIUrl":"https://doi.org/10.1080/1755876X.2019.1569748","url":null,"abstract":"ABSTRACT The upwelling in the Baltic Sea region is very common phenomenon. According to different studies, in some places it can exist almost one-third of the year leading to vertical mixing and transporting fresh, rich in nutrients water from deeper layers to the surface. The upwelling phenomenon has been analysed for years 2010–2016, during thermally stratified period, i.e. between May and September. Surface layer temperature from coupled ecosystem model of the Baltic Sea – 3D CEMBS was analysed together with NOAA/AVHRR satellite SST observations. Wind data from weather forecasting model – UM from ICM UW were also analysed to describe favourable conditions for the upwelling occurrences. The research includes statistical analysis of entire Baltic Sea region as well as particular examples from selected areas. Areas of upwelling occurrences were found along almost entire coastline of the Baltic Sea. Main areas were located along Swedish coast in Baltic Proper, Oland and along Finnish coast in the Gulf of Finland, where the event can last up to 30% of the time. Other areas, with frequencies over 20%, include Polish coast, Gotland and Bay of Bothnia. It was determined that collected results were in good agreement with earlier studies, with satellite data giving slightly higher frequencies closer to the shore. Based on these results, an automated coastal upwelling detection system was designed and launched in operational mode together with the 3D CEMBS model.","PeriodicalId":50105,"journal":{"name":"Journal of Operational Oceanography","volume":"40 1","pages":"104 - 115"},"PeriodicalIF":3.1,"publicationDate":"2019-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82295849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-24DOI: 10.1080/1755876X.2019.1567450
C. James, M. Collopy, L. Wyatt, A. Middleditch
ABSTRACT The IMOS HF-Radar array in South Australia provides observations of the ocean waters south of Spencer Gulf. In addition to ocean surface currents, the data from this array can be processed to provide near real-time observations of wave statistics and wind direction. The Australian Bureau of Meteorology requires access to these observations for forecast modelling but currently only have a single Waverider buoy operating in South Australian waters at Cape du Couedic, south of Kangaroo Island, which provides no directional information. The HF-Radar array could potentially be used to augment the current operational observation systems used by the Bureau. In this paper, we evaluate the performance of the HF-Radar system against observations from the Waverider buoy and an automatic weather station at Neptune Island and also compare the HF-Radar observations to a wave model based on the eSA-Marine forecast grid. The results suggest that upgrading the HF-Radar to provide near real-time wave and wind data would provide a new, independent source of environmental observations for the Bureau.
南澳大利亚的国际海事组织高频雷达阵列提供了斯宾塞湾以南海域的观测资料。除了海洋表面洋流外，该阵列的数据还可以进行处理，提供波浪统计和风向的近实时观测。澳大利亚气象局需要获得这些观测数据来进行预测建模，但目前只有一个Waverider浮标在袋鼠岛以南的Cape du Couedic南澳大利亚水域运行，无法提供方向信息。高频雷达阵列可以潜在地用于增强该局目前使用的业务观测系统。在本文中，我们将高频雷达系统的性能与来自海王星岛的Waverider浮标和自动气象站的观测结果进行了比较，并将高频雷达观测结果与基于eSA-Marine预报网格的波浪模型进行了比较。结果表明，升级高频雷达以提供近实时的波浪和风数据将为该局提供一个新的、独立的环境观测来源。
{"title":"Suitability of the Southern Australia Integrated Marine Observing System’s (SA-IMOS) HF-Radar for operational forecasting","authors":"C. James, M. Collopy, L. Wyatt, A. Middleditch","doi":"10.1080/1755876X.2019.1567450","DOIUrl":"https://doi.org/10.1080/1755876X.2019.1567450","url":null,"abstract":"ABSTRACT The IMOS HF-Radar array in South Australia provides observations of the ocean waters south of Spencer Gulf. In addition to ocean surface currents, the data from this array can be processed to provide near real-time observations of wave statistics and wind direction. The Australian Bureau of Meteorology requires access to these observations for forecast modelling but currently only have a single Waverider buoy operating in South Australian waters at Cape du Couedic, south of Kangaroo Island, which provides no directional information. The HF-Radar array could potentially be used to augment the current operational observation systems used by the Bureau. In this paper, we evaluate the performance of the HF-Radar system against observations from the Waverider buoy and an automatic weather station at Neptune Island and also compare the HF-Radar observations to a wave model based on the eSA-Marine forecast grid. The results suggest that upgrading the HF-Radar to provide near real-time wave and wind data would provide a new, independent source of environmental observations for the Bureau.","PeriodicalId":50105,"journal":{"name":"Journal of Operational Oceanography","volume":"4 1","pages":"73 - 85"},"PeriodicalIF":3.1,"publicationDate":"2019-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80945664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-02DOI: 10.1080/1755876X.2019.1565853
S. Saviano, A. Kalampokis, E. Zambianchi, M. Uttieri
ABSTRACT A three-site short-range (25 MHz) CODAR SeaSonde High-Frequency (HF) radar system has been operating in the Gulf of Naples (Tyrrhenian Sea) since 2004. HF radars use first-order echoes to determine surface currents, while second-order ones can be exploited to estimate the main parameters characterising the wave field: significant wave height, direction and period. Waves were studied in the Gulf of Naples at each radar site over a range cell located between 5 and 6 km from the coast. The data acquired in the reference year 2010 were compared with the measurements recorded over the same period by a directional wave buoy installed in the outer part of the basin. This study aims at verifying the agreement between the recordings of the two platforms, in order to test the robustness of the HF radar-derived wave measurements. In addition, the analyses here presented investigate the seasonal patterns of the wave parameters, showing the different responses of the wave field in different sectors of the basin and the responsiveness of HF radars in critical environmental conditions. The two platforms showed consistent results, indicating the reliability of HF radars as wave measurement tools and opening the way to further applications in wave monitoring and analysis in coastal areas.
{"title":"A year-long assessment of wave measurements retrieved from an HF radar network in the Gulf of Naples (Tyrrhenian Sea, Western Mediterranean Sea)","authors":"S. Saviano, A. Kalampokis, E. Zambianchi, M. Uttieri","doi":"10.1080/1755876X.2019.1565853","DOIUrl":"https://doi.org/10.1080/1755876X.2019.1565853","url":null,"abstract":"ABSTRACT A three-site short-range (25 MHz) CODAR SeaSonde High-Frequency (HF) radar system has been operating in the Gulf of Naples (Tyrrhenian Sea) since 2004. HF radars use first-order echoes to determine surface currents, while second-order ones can be exploited to estimate the main parameters characterising the wave field: significant wave height, direction and period. Waves were studied in the Gulf of Naples at each radar site over a range cell located between 5 and 6 km from the coast. The data acquired in the reference year 2010 were compared with the measurements recorded over the same period by a directional wave buoy installed in the outer part of the basin. This study aims at verifying the agreement between the recordings of the two platforms, in order to test the robustness of the HF radar-derived wave measurements. In addition, the analyses here presented investigate the seasonal patterns of the wave parameters, showing the different responses of the wave field in different sectors of the basin and the responsiveness of HF radars in critical environmental conditions. The two platforms showed consistent results, indicating the reliability of HF radars as wave measurement tools and opening the way to further applications in wave monitoring and analysis in coastal areas.","PeriodicalId":50105,"journal":{"name":"Journal of Operational Oceanography","volume":"86 1","pages":"1 - 15"},"PeriodicalIF":3.1,"publicationDate":"2019-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86911221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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