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1

Moersdorf, Paul, and Eric Meindl. "Sustained Ocean Observations and the Role of NOAA's Marine Observation Network." Marine Technology Society Journal 37, no. 3 (2003): 67–74. http://dx.doi.org/10.4031/002533203787537258.

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The National Oceanic and Atmospheric Administration (NOAA) operates a network of automated moored buoys in the oceans whose installation began in the early 1970s. What began as a research and development program consolidating independent U.S. buoy projects, by the mid-1980s evolved into an operational activity when the National Data Buoy Center (NDBC) was moved into NOAA's National Weather Service (NWS). Except for a few reimbursable projects requiring ocean data, little effort was placed on sustained ocean monitoring, as NDBC focused upon satisfying NWS' mission requirements. NOAA's recent di
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Peres Teixeira, Carlos Eduardo. "THE DATA WE NEED FOR THE OCEAN WE WANT TO PREDICT: A BRAZILIAN PERSPECTIVE." Arquivos de Ciências do Mar 55, Especial (2022): 292–97. http://dx.doi.org/10.32360/acmar.v55iespecial.78513.

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A Predicted Ocean is one of the UN Ocean Decade goals. Ocean observations and numerical simulations of the ocean circulation are at the heart of this outcome. Numerical models are used to understand the present and predict future ocean states, but also the human impact on it, among many other uses. However, its results are only a representation of reality, and we need to validate the numerical model outputs with observational data before using them. Considering its coast extension and the marine economic importance, Brazil does not collect enough physical ocean data and we have only a few real
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3

Zuo, Hao, Magdalena Alonso Balmaseda, Steffen Tietsche, Kristian Mogensen, and Michael Mayer. "The ECMWF operational ensemble reanalysis–analysis system for ocean and sea ice: a description of the system and assessment." Ocean Science 15, no. 3 (2019): 779–808. http://dx.doi.org/10.5194/os-15-779-2019.

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Abstract. The ECMWF OCEAN5 system is a global ocean and sea-ice ensemble of reanalysis and real-time analysis. This paper gives a full description of the OCEAN5 system, with the focus on upgrades of system components with respect to its predecessors, ORAS4 and ORAP5. An important novelty in OCEAN5 is the ensemble generation strategy that includes perturbation of initial conditions and a generic perturbation scheme for observations and forcing fields. Other upgrades include revisions to the a priori bias correction scheme, observation quality control and assimilation method for sea-level anomal
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Barbier, Michèle, Anja Reitz, Katsiaryna Pabortsava, Anne-Cathrin Wölfl, Tobias Hahn, and Fred Whoriskey. "Ethical recommendations for ocean observation." Advances in Geosciences 45 (November 22, 2018): 343–61. http://dx.doi.org/10.5194/adgeo-45-343-2018.

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Abstract. The United Nations proclaimed a decade of marine science for sustainable development (2021–2030) to develop a common framework that will ensure that ocean science can fully support countries in achieving the goal of sustainable development. Marine scientific understanding is fundamental to managing human activities that affect this environment, and ocean observations have a particularly important role in enhancing the knowledge base of our oceans. With this important task, scientists have the responsibility to act in an ethical way and apply all the fundamental principles described i
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Cavagnaro, Robert J., Andrea E. Copping, Rebecca Green, et al. "Powering the Blue Economy: Progress Exploring Marine Renewable Energy Integration With Ocean Observations." Marine Technology Society Journal 54, no. 6 (2020): 114–25. http://dx.doi.org/10.4031/mtsj.54.6.11.

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AbstractMarine renewable energy (MRE) encompasses the harvest of energy from the movement of ocean waters in the form of either currents or waves, as well as temperature and salinity differentials. To date, most MRE development has focused on utility-scale electrical grid generation, but a growing body of work focuses on non-grid applications in the blue economy where MRE could provide power on-site and at the scale needed for specific maritime sectors. One of the blue economy sectors with promising applications for MRE is ocean observations using both mobile and stationary platforms. This pap
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Cunha, Marina, Luciana Génio, Florence Pradillon, et al. "Foresight Workshop on Advances in Ocean Biological Observations: a sustained system for deep-ocean meroplankton." Research Ideas and Outcomes 6 (May 18, 2020): e54284. https://doi.org/10.3897/rio.6.e54284.

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Recent advances in technology have enabled an unprecedented development of underwater research, extending from near shore to the deepest regions of the globe. However, monitoring of biodiversity is not fully implemented in political agendas and biological observations in the deep ocean have been even more limited in space and time.The Foresight Workshop on Advances in Ocean Biological Observations: a sustained system for deep-ocean meroplankton was convened to to foster advances in the knowledge on deep-ocean invertebrate larval distributions and improve our understanding of fundamental deep-o
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Rajan, Kanna, Fernando Aguado, Pierre Lermusiaux, João Borges de Sousa, Ajit Subramaniam, and Joaquin Tintore. "METEOR: A Mobile (Portable) ocEan roboTic ObsErvatORy." Marine Technology Society Journal 55, no. 3 (2021): 74–75. http://dx.doi.org/10.4031/mtsj.55.3.42.

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Abstract The oceans make this planet habitable and provide a variety of essential ecosystem services ranging from climate regulation through control of greenhouse gases to provisioning about 17% of protein consumed by humans. The oceans are changing as a consequence of human activity but this system is severely under sampled. Traditional methods of studying the oceans, sailing in straight lines, extrapolating a few point measurements have not changed much in 200 years. Despite the tremendous advances in sampling technologies, we often use our autonomous assets the same way. We propose to use t
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Haines, K., M. Valdivieso, H. Zuo, and V. N. Stepanov. "Transports and budgets in a 1/4° global ocean reanalysis 1989–2010." Ocean Science Discussions 9, no. 1 (2012): 261–90. http://dx.doi.org/10.5194/osd-9-261-2012.

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Abstract. Large scale ocean transports of heat and freshwater have not been well monitored, and yet the regional budgets of these quantities are vital to understanding the role of the oceans in climate and climate change. In contrast atmospheric heat and freshwater transports are commonly assessed from atmospheric reanalysis products, despite the presence of non-conserving data assimilation based on the wealth of distributed atmospheric observations as constraints. The ability to carry out ocean reanalyses globally at eddy permitting resolutions of 1/4° or better, along with new global ocean o
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Haines, K., M. Valdivieso, H. Zuo, and V. N. Stepanov. "Transports and budgets in a 1/4 ° global ocean reanalysis 1989–2010." Ocean Science 8, no. 3 (2012): 333–44. http://dx.doi.org/10.5194/os-8-333-2012.

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Abstract. Large-scale ocean transports of heat and freshwater have not been well monitored, and yet the regional budgets of these quantities are important to understanding the role of the oceans in climate and climate change. In contrast, atmospheric heat and freshwater transports are commonly assessed from atmospheric reanalysis products, despite the presence of non-conserving data assimilation based on the wealth of distributed atmospheric observations as constraints. The ability to carry out ocean reanalyses globally at eddy-permitting resolutions of 1/4 ° or better, along with new global o
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10

Bajona, Lenore. "The developing Canadian Integrated Ocean Observing System (CIOOS)." Biodiversity Information Science and Standards 1 (August 20, 2017): e20432. https://doi.org/10.3897/tdwgproceedings.1.20432.

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Canada's ocean science community which includes the federal government, academia, small businesses, not-for-profit organizations, and other research partners, collect and synthesize physical, chemical and biological ocean observations. This information is used for discovery research purposes, to model ocean changes and provide environmental assessment advice, support resource management decision-making, and establish baseline data for long-term monitoring. Canada's ocean community collects large amounts of data but, aside from building comprehensive ocean observatories (Fisheries and Oceans Ca
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11

Tomchakovsky, G. G. "Modern technologies for ocean observation: analysis and development prospects." Reporter of the Priazovskyi State Technical University. Section: Technical sciences 2, no. 49 (2024): 137–48. https://doi.org/10.31498/2225-6733.49.2.2024.321376.

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The oceans play a key role in shaping the Earth's climate and maintaining global ecosystems, but their study is fraught with significant difficulties due to the enormous size and complexity of the processes taking place in them. The creation of a comprehensive observation system that would provide accurate and timely data on the state of the ocean on a global scale is an urgent problem of modern oceanology. Traditional methods of ocean research using research vessels have limited capabilities and do not allow obtaining data with sufficient spatial and temporal resolution. The purpose of the ar
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12

Mu, Ziyao, Weimin Zhang, Pinqiang Wang, Huizan Wang, and Xiaofeng Yang. "Assimilation of SMOS Sea Surface Salinity in the Regional Ocean Model for South China Sea." Remote Sensing 11, no. 8 (2019): 919. http://dx.doi.org/10.3390/rs11080919.

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Ocean salinity has an important impact on marine environment simulations. The Soil Moisture and Ocean Salinity (SMOS) mission is the first satellite in the world to provide large-scale global salinity observations of the oceans. Salinity remote sensing observations in the open ocean have been successfully applied in data assimilations, while SMOS salinity observations contain large errors in the coastal ocean (including the South China Sea (SCS)) and high latitudes and cannot be effectively applied in ocean data assimilations. In this paper, the SMOS salinity observation data are corrected wit
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13

Thomas, Christopher M., Bo Dong, and Keith Haines. "Inverse Modeling of Global and Regional Energy and Water Cycle Fluxes using Earth Observation Data." Journal of Climate 33, no. 5 (2020): 1707–23. http://dx.doi.org/10.1175/jcli-d-19-0343.1.

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AbstractThe NASA Energy and Water Cycle Study (NEWS) climatology is a self-consistent coupled annual and seasonal cycle solution for radiative, turbulent, and water fluxes over Earth’s surface using Earth observation data covering 2000–09. Here we seek to improve the NEWS solution, particularly over the ocean basins, by considering spatial covariances in the observation errors (some evidence for which is found by comparing five turbulent flux products over the oceans) and by introducing additional horizontal transports from ocean reanalyses as weak constraints. By explicitly representing large
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Li, Xichen, Jiang Zhu, Yiguo Xiao, and Ruiwen Wang. "A Model-Based Observation-Thinning Scheme for the Assimilation of High-Resolution SST in the Shelf and Coastal Seas around China." Journal of Atmospheric and Oceanic Technology 27, no. 6 (2010): 1044–58. http://dx.doi.org/10.1175/2010jtecho709.1.

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Abstract The use of high-density remote sensing buoys and ship-based observations play an increasingly crucial role in the operational assimilation and forecast of oceans. With the recent release of several high-resolution observation datasets, such as the Global Ocean Data Assimilation Experiment (GODAE) high-resolution SST (GHRSST) datasets, the development of observation-thinning schemes becomes important in the process of data assimilation because the huge quantity and dense spatial–temporal distributions of these datasets might make it expensive to assimilate the full dataset into ocean m
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15

Xie, Sihang, Yifei Jiang, and Yong Zhou. "Observation of the Semidiurnal Internal Tides in the Northwest Pacific Ocean." Journal of Physics: Conference Series 2486, no. 1 (2023): 012008. http://dx.doi.org/10.1088/1742-6596/2486/1/012008.

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Abstract Internal tides are internal waves occurring in the tidal frequency bands of stable stratified oceans, which are formed by the interaction between barotropic tides and different submarine topographical features such as ridges, sills, trough, trench and continental shelf break. In-depth study of tidal energy and tidal dynamics in this area is of great significance for understanding the multi-scale energy cascade structure in this ocean. Based on the 16-day mooring observation data of a set of high spatial and temporal resolution in the Northwest Pacific Ocean from 21°N to 22°N,124°E to
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16

Watson, Andrew J., Nicolas Metzl, and Ute Schuster. "Monitoring and interpreting the ocean uptake of atmospheric CO 2." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 369, no. 1943 (2011): 1997–2008. http://dx.doi.org/10.1098/rsta.2011.0060.

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The oceans are an important sink for anthropogenically produced CO 2 , and on time scales longer than a century they will be the main repository for the CO 2 that humans are emitting. Our knowledge of how ocean uptake varies (regionally and temporally) and the processes that control it is currently observation-limited. Traditionally, and based on sparse observations and models at coarse resolution, ocean uptake has been thought to be relatively invariant. However, in the few places where we have enough observations to define the uptake over periods of many years or decades, it has been found t
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17

Thompson, Bijoy, Claudio Sanchez, Boon Chong Peter Heng, et al. "Development of a MetUM (v 11.1) and NEMO (v 3.6) coupled operational forecast model for the Maritime Continent – Part 1: Evaluation of ocean forecasts." Geoscientific Model Development 14, no. 2 (2021): 1081–100. http://dx.doi.org/10.5194/gmd-14-1081-2021.

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Abstract. This article describes the development and ocean forecast evaluation of an atmosphere–ocean coupled prediction system for the Maritime Continent (MC) domain, which includes the eastern Indian and western Pacific oceans. The coupled system comprises regional configurations of the atmospheric model MetUM and ocean model NEMO at a uniform horizontal resolution of 4.5 km × 4.5 km, coupled using the OASIS3-MCT libraries. The coupled model is run as a pre-operational forecast system from 1 to 31 October 2019. Hindcast simulations performed for the period 1 January 2014 to 30 September 2019
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Piotrowicz, Stephen R., and David M. Legler. "The In situ Global Ocean Observing System for Climate (and Other Needs)." Marine Technology Society Journal 49, no. 2 (2015): 112–21. http://dx.doi.org/10.4031/mtsj.49.2.22.

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AbstractThe Global Ocean Observing System (GOOS) is the international observation system that ensures long-term sustained ocean observations. The ocean equivalent of the atmospheric observing system supporting weather forecasting, GOOS, was originally developed to provide data for weather and climate applications. Today, GOOS data are used for all aspects of ocean management as well as weather and climate research and forecasting. National Oceanic and Atmospheric Administration (NOAA), through the Climate Observation Division of the Office of Oceanic and Atmospheric Research/Climate Program Of
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Rossby, T. "Partnership proposed for ocean observation." Eos, Transactions American Geophysical Union 93, no. 14 (2012): 144. http://dx.doi.org/10.1029/2012eo140004.

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Zaharia, Raymond. "Ocean observation and international cooperation." Space Policy 15, no. 1 (1999): 23–25. http://dx.doi.org/10.1016/s0265-9646(98)00041-1.

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LIN Mingsen and JIANG Xingwei. "Ocean Observation from Haiyang Satellites." Chinese Journal of Space Science 40, no. 5 (2020): 898. http://dx.doi.org/10.11728/cjss2020.05.898.

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Jiang, Xingwei, and Mingsen Lin. "Results about ocean satellite observation." Chinese Journal of Space Science 30, no. 5 (2010): 474. http://dx.doi.org/10.11728/cjss2010.05.474.

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Shorttle, Oliver, Sean Jordan, Harrison Nicholls, Tim Lichtenberg, and Dan J. Bower. "Distinguishing Oceans of Water from Magma on Mini-Neptune K2-18b." Astrophysical Journal Letters 962, no. 1 (2024): L8. http://dx.doi.org/10.3847/2041-8213/ad206e.

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Abstract Mildly irradiated mini-Neptunes have densities potentially consistent with them hosting substantial liquid-water oceans (“Hycean” planets). The presence of CO2 and simultaneous absence of ammonia (NH3) in their atmospheres has been proposed as a fingerprint of such worlds. JWST observations of K2-18b, the archetypal Hycean, have found the presence of CO2 and the depletion of NH3 to <100 ppm; hence, it has been inferred that this planet may host liquid-water oceans. In contrast, climate modeling suggests that many of these mini-Neptunes, including K2-18b, may likely be too hot to ho
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Nam, Sunghyun. "Observing the oceans to predict the future." Impact 2019, no. 9 (2019): 9–11. http://dx.doi.org/10.21820/23987073.2019.9.9.

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The ocean covers more than 70 percent of the surface of the planet and some 97 percent of the Earth's water can be found in our oceans. Many of the serious global issues we face, such as warming waters, melting ice and rising sea levels, are directly related to seas and oceans across the world. There is also the increased threat of natural disasters such as typhoons and hurricanes, tsunamis, heatwaves and floods. Many of these issues are directly related to ocean processes and so it follows that in order to combat these issues, it is vital that we find a means of better monitoring, predicting
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Lee, Seung-Woo, Jin-Yong Jeong, Jongmin Jeong, et al. "A Study on the Observation Status and Monitoring of Large Ocean Observation Buoys." Korea Society of Coastal Disaster Prevention 11, no. 2 (2024): 25–34. http://dx.doi.org/10.20481/kscdp.2024.11.2.25.

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More than half of the world's population is lives in coastal areas, and the effects of climate change are increasing. In particular, the prediction, forecasting, prevention and mitigation of disasters in coastal regions underscore the importance of real-time environmental information. This paper addresses the deployment and status of Large Ocean Observation Buoys installed by KIOST in the Yellow Sea/East China Sea in 2021. The buoys provide real-time time-series information not only for ocean physical and meteorological variables, but also for biogeochemical variables. In addition, the install
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Denvil-Sommer, Anna, Marion Gehlen, and Mathieu Vrac. "Observation system simulation experiments in the Atlantic Ocean for enhanced surface ocean <i>p</i>CO<sub>2</sub> reconstructions." Ocean Science 17, no. 4 (2021): 1011–30. http://dx.doi.org/10.5194/os-17-1011-2021.

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Abstract. To derive an optimal observation system for surface ocean pCO2 in the Atlantic Ocean and the Atlantic sector of the Southern Ocean, 11 observation system simulation experiments (OSSEs) were completed. Each OSSE is a feedforward neural network (FFNN) that is based on a different data distribution and provides ocean surface pCO2 for the period 2008–2010 with a 5 d time interval. Based on the geographical and time positions from three observational platforms, volunteering observing ships, Argo floats and OceanSITES moorings, pseudo-observations were constructed using the outputs from an
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Mineart, Gary M., and Richard L. Crout. "Technologies for Global Observations of Ocean Constituents." Marine Technology Society Journal 39, no. 3 (2005): 36–48. http://dx.doi.org/10.4031/002533205787442486.

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With the growing international emphasis on the Global Earth Observation System of Systems (GEOSS), technological advancements empowering global observations of the ocean's varied constituents are receiving increasing attention. This paper summarizes the major ocean constituents of interest to the GEOSS member states, highlights their importance, and provides an updated review of existing and emerging observation technologies with potential to address the needs of GEOSS. With the importance of global coverage within this international framework, we emphasize space-based remote sensing technolog
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Cummings, James A., and Ole Martin Smedstad. "Ocean Data Impacts in Global HYCOM*." Journal of Atmospheric and Oceanic Technology 31, no. 8 (2014): 1771–91. http://dx.doi.org/10.1175/jtech-d-14-00011.1.

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Abstract The impact of the assimilation of ocean observations on reducing global Hybrid Coordinate Ocean Model (HYCOM) 48-h forecast errors is presented. The assessment uses an adjoint-based data impact procedure that characterizes the forecast impact of every observation assimilated, and it allows the observation impacts to be partitioned by data type, geographic region, and vertical level. The impact cost function is the difference between HYCOM 48- and 72-h forecast errors computed for temperature and salinity at all model levels and grid points. It is shown that routine assimilation of lar
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Terhaar, Jens, Thomas L. Frölicher, and Fortunat Joos. "Observation-constrained estimates of the global ocean carbon sink from Earth system models." Biogeosciences 19, no. 18 (2022): 4431–57. http://dx.doi.org/10.5194/bg-19-4431-2022.

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Abstract. The ocean slows global warming by currently taking up around one-quarter of all human-made CO2 emissions. However, estimates of the ocean anthropogenic carbon uptake vary across various observation-based and model-based approaches. Here, we show that the global ocean anthropogenic carbon sink simulated by Earth system models can be constrained by two physical parameters, the present-day sea surface salinity in the subtropical–polar frontal zone in the Southern Ocean and the strength of the Atlantic Meridional Overturning Circulation, and one biogeochemical parameter, the Revelle fact
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Arnold, S. R., D. V. Spracklen, S. Gebhardt, et al. "Relationships between atmospheric organic compounds and air-mass exposure to marine biology." Environmental Chemistry 7, no. 3 (2010): 232. http://dx.doi.org/10.1071/en09144.

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Environmental context.The exchange of gases between the atmosphere and oceans impacts Earth’s climate. Over the remote oceans, marine emissions of organic species may have significant impacts on cloud properties and the atmosphere’s oxidative capacity. Quantifying these emissions and their dependence on ocean biology over the global oceans is a major challenge. Here we present a new method which relates atmospheric abundance of several organic chemicals over the South Atlantic Ocean to the exposure of air to ocean biology over several days before its sampling. Abstract.We have used a Lagrangia
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Thorrold, Simon R., Allan Adams, Ann Bucklin, et al. "Twilight Zone Observation Network: A Distributed Observation Network for Sustained, Real-Time Interrogation of the Ocean's Twilight Zone." Marine Technology Society Journal 55, no. 3 (2021): 92–93. http://dx.doi.org/10.4031/mtsj.55.3.46.

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Abstract The ocean's twilight zone (TZ) is a vast, globe-spanning region of the ocean. Home to myriad fishes and invertebrates, mid-water fishes alone may constitute 10 times more biomass than all current ocean wild-caught fisheries combined. Life in the TZ supports ocean food webs and plays a critical role in carbon capture and sequestration. Yet the ecological roles that mesopelagic animals play in the ocean remain enigmatic. This knowledge gap has stymied efforts to determine the effects that extraction of mesopelagic biomass by industrial fisheries, or alterations due to climate shifts, ma
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Baker, Alex R., Maria Kanakidou, Katye E. Altieri, et al. "Observation- and model-based estimates of particulate dry nitrogen deposition to the oceans." Atmospheric Chemistry and Physics 17, no. 13 (2017): 8189–210. http://dx.doi.org/10.5194/acp-17-8189-2017.

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Abstract. Anthropogenic nitrogen (N) emissions to the atmosphere have increased significantly the deposition of nitrate (NO3−) and ammonium (NH4+) to the surface waters of the open ocean, with potential impacts on marine productivity and the global carbon cycle. Global-scale understanding of the impacts of N deposition to the oceans is reliant on our ability to produce and validate models of nitrogen emission, atmospheric chemistry, transport and deposition. In this work, ∼ 2900 observations of aerosol NO3− and NH4+ concentrations, acquired from sampling aboard ships in the period 1995–2012, a
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Mukai, Yukio. "Ocean Observation by Satellite Remote Sensing." PROCEEDINGS OF CIVIL ENGINEERING IN THE OCEAN 9 (1993): 1–6. http://dx.doi.org/10.2208/prooe.9.1.

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张, 华勇. "Remote Laser Powered Ocean Observation Buoy." Journal of Sensor Technology and Application 09, no. 03 (2021): 188–92. http://dx.doi.org/10.12677/jsta.2021.93022.

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Kawabe, Masaki, and Shinzou Fujio. "Pacific ocean circulation based on observation." Journal of Oceanography 66, no. 3 (2010): 389–403. http://dx.doi.org/10.1007/s10872-010-0034-8.

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DU, Yan, Xiaolong DONG, Xingwei JIANG, et al. "Ocean Surface Current Multiscale Observation Mission." Chinese Journal of Space Science 42, no. 5 (2022): 849. http://dx.doi.org/10.11728/cjss2022.05.2022-0047.

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Angelini, Federico. "Advanced Sensing Technology for Ocean Observation." Sensors 25, no. 4 (2025): 1228. https://doi.org/10.3390/s25041228.

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Ballabrera-Poy, Joaquim, Jordi Font, Adriano Camps, et al. "A new space technology for ocean observation: the SMOS mission." Scientia Marina 76, S1 (2012): 249–59. http://dx.doi.org/10.3989/scimar.03621.19k.

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Andrianova, O. R. "ACTUALS PROBLEMS OF THE RESEARCH OF WORLD OCEAN LEVEL." Odesa National University Herald. Geography and Geology 19, no. 4(23) (2015): 55–68. http://dx.doi.org/10.18524/2303-9914.2014.4(23).39300.

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The features of the sea level changes and the related dynamics of the coastal zone are the subject of the discussions in the economic planning as in the regionally as in globally scale. The work’s purpose is analysis of changes of World Ocean level under the influence of different factors from the viewpoint of physical geography – the interdependence of nature of the ocean and continents, large-scale connections between oceanosphera and other elements of the Earth’s environment and evaluation of the modern established knowledge about thetendencies of the development of processes in the coastal
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Francis, P. A., A. K. Jithin, J. B. Effy, et al. "High-Resolution Operational Ocean Forecast and Reanalysis System for the Indian Ocean." Bulletin of the American Meteorological Society 101, no. 8 (2020): E1340—E1356. http://dx.doi.org/10.1175/bams-d-19-0083.1.

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Abstract A good understanding of the general circulation features of the oceans, particularly of the coastal waters, and ability to predict the key oceanographic parameters with good accuracy and sufficient lead time are necessary for the safe conduct of maritime activities such as fishing, shipping, and offshore industries. Considering these requirements and buoyed by the advancements in the field of ocean modeling, data assimilation, and ocean observation networks along with the availability of the high-performance computational facility in India, Indian National Centre for Ocean Information
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41

Venkatesan, Ramasamy, Ranganathan Sundar, Narayanaswamy Vedachalam, and Karakunnel Jossia Joseph. "India's Ocean Observation Network: Relevance to Society." Marine Technology Society Journal 50, no. 3 (2016): 34–46. http://dx.doi.org/10.4031/mtsj.50.3.5.

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AbstractSustained and real-time ocean observation systems using moored data buoys are vital for understanding ocean dynamics and the variability required for improving oceanographic services, including weather prediction, ocean state forecast, and climate change studies. This paper presents the effectiveness of India's moored data buoy network in capturing the response in the ocean during the cyclonic disturbances formed in the Bay of Bengal (BoB) and the Arabian Sea (AS) during the last 5-year period. The moored buoy network provided critical information about the evolution and intensificatio
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42

Idini, Benjamin, and Francis Nimmo. "Resonant Stratification in Titan’s Global Ocean." Planetary Science Journal 5, no. 1 (2024): 15. http://dx.doi.org/10.3847/psj/ad11ef.

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Abstract Titan’s ice shell floats on top of a global ocean, as revealed by the large tidal Love number k 2 = 0.616 ± 0.067 registered by Cassini. The Cassini observation exceeds the predicted k 2 by one order of magnitude in the absence of an ocean, and is 3σ away from the predicted k 2 if the ocean is pure water resting on top of a rigid ocean floor. Previous studies demonstrate that an ocean heavily enriched in salts (salinity S ≳ 200 g kg−1) can explain the 3σ signal in k 2. Here we revisit previous interpretations of Titan’s large k 2 using simple physical arguments and propose a new inter
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43

Carrier, Matthew J., Hans E. Ngodock, Scott R. Smith, Innocent Souopgui, and Brent Bartels. "Examining the Potential Impact of SWOT Observations in an Ocean Analysis–Forecasting System." Monthly Weather Review 144, no. 10 (2016): 3767–82. http://dx.doi.org/10.1175/mwr-d-15-0361.1.

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NASA’s Surface Water and Ocean Topography (SWOT) satellite, scheduled for launch in 2020, will provide observations of sea surface height anomaly (SSHA) at a significantly higher spatial resolution than current satellite altimeters. This new observation type is expected to improve the ocean model mesoscale circulation. The potential improvement that SWOT will provide is investigated in this work by way of twin-data assimilation experiments using the Navy Coastal Ocean Model four-dimensional variational data assimilation (NCOM-4DVAR) system in its weak constraint formulation. Simulated SWOT obs
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Ho, Chung-Ru, and Antony K. Liu. "Preface: Remote Sensing Applications in Ocean Observation." Remote Sensing 15, no. 2 (2023): 415. http://dx.doi.org/10.3390/rs15020415.

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45

Vidard, A., D. L. T. Anderson, and M. Balmaseda. "Impact of Ocean Observation Systems on Ocean Analysis and Seasonal Forecasts." Monthly Weather Review 135, no. 2 (2007): 409–29. http://dx.doi.org/10.1175/mwr3310.1.

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Abstract The relative merits of the Tropical Atmosphere–Ocean (TAO)/Triangle Trans-Ocean Buoy Network (TAO/TRITON) and Pilot Research Moored Array in the Tropical Atlantic mooring networks, the Voluntary Observing Ship (VOS) expendable bathythermograph (XBT) network, and the Argo float network are evaluated through their impact on ocean analyses and seasonal forecast skill. An ocean analysis is performed in which all available data are assimilated. In two additional experiments the moorings and the VOS datasets are withheld from the assimilation. To estimate the impact on seasonal forecast ski
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46

Carton, James A., and Benjamin S. Giese. "A Reanalysis of Ocean Climate Using Simple Ocean Data Assimilation (SODA)." Monthly Weather Review 136, no. 8 (2008): 2999–3017. http://dx.doi.org/10.1175/2007mwr1978.1.

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Abstract This paper describes the Simple Ocean Data Assimilation (SODA) reanalysis of ocean climate variability. In the assimilation, a model forecast produced by an ocean general circulation model with an average resolution of 0.25° × 0.4° × 40 levels is continuously corrected by contemporaneous observations with corrections estimated every 10 days. The basic reanalysis, SODA 1.4.2, spans the 44-yr period from 1958 to 2001, which complements the span of the 40-yr European Centre for Medium-Range Weather Forecasts (ECMWF) atmospheric reanalysis (ERA-40). The observation set for this experiment
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Venkatesan, Ramasamy, Manickavasagam Arul Muthiah, Narayanaswamy Vedachalam, et al. "Technological Trends and Significance of the Essential Ocean Variables by the Indian Moored Observatories: Relevance to UN Decade of Ocean Sciences." Marine Technology Society Journal 55, no. 3 (2021): 34–49. http://dx.doi.org/10.4031/mtsj.55.3.8.

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Abstract The ocean plays a key role in regulating the climate as well as supporting diverse ecosystems. Technology is the key for the sustained and precise in-situ spatio-temporal measurements of the physical, biological, biogeochemical, and near-atmospheric meteorological parameters essential for carrying out effective assessments of the status, variability, and change in the ocean ecosystems and for creating policies at the right time. The United Nations Decade of Ocean Science for Sustainable Development 2021‐2030 provides a timeframe to build a comprehensive, sustainable, and data-based in
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Dong, Jili, Ricardo Domingues, Gustavo Goni, et al. "Impact of Assimilating Underwater Glider Data on Hurricane Gonzalo (2014) Forecasts." Weather and Forecasting 32, no. 3 (2017): 1143–59. http://dx.doi.org/10.1175/waf-d-16-0182.1.

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Abstract The initialization of ocean conditions is essential to coupled tropical cyclone (TC) forecasts. This study investigates the impact of ocean observation assimilation, particularly underwater glider data, on high-resolution coupled TC forecasts. Using the coupled Hurricane Weather Research and Forecasting (HWRF) Model–Hybrid Coordinate Ocean Model (HYCOM) system, numerical experiments are performed by assimilating underwater glider observations alone and with other standard ocean observations for the forecast of Hurricane Gonzalo (2014). The glider observations are able to provide valua
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Fattorini, Maria, and Carlo Brandini. "Observation Strategies Based on Singular Value Decomposition for Ocean Analysis and Forecast." Water 12, no. 12 (2020): 3445. http://dx.doi.org/10.3390/w12123445.

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In this article, we discuss possible observing strategies for a simplified ocean model (Double Gyre (DG)), used as a preliminary tool to understand the observation needs for real analysis and forecasting systems. Observations are indeed fundamental to improve the quality of forecasts when data assimilation techniques are employed to obtain reliable analysis results. In addition, observation networks, particularly in situ observations, are expensive and require careful positioning of instruments. A possible strategy to locate observations is based on Singular Value Decomposition (SVD). SVD has
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Toma, Daniel M., Albert Garcia Benadí, Bernat-Joan Manuel-Gonzalez, and Joaquin Del-Río-Fernandez. "Systematic quality control for long term ocean observations and applications." ACTA IMEKO 5, no. 1 (2016): 64. http://dx.doi.org/10.21014/acta_imeko.v5i1.213.

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With the advances of last year's technologies many new observation platforms have been created and connected on network for the diffusion of numerous and diverse observations, and also it provided a great possibility to connect all kind of people facilitating the creations of great scale and long-term studies. This paper is focused on the marine observations and platforms employed for this scope. Real time data and the big data have to accomplish some minimal quality of data requirements. Usually, the task to ensure these quality requirements is accomplished by the platforms responsible. The a
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