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| Author | Cabrera, V.E., D. Solis, G.A. Baigorria, and D. Letson | ||||
| Title | Managing climate risks to agriculture: evidence from El Nino | Type | $loc['typeReport'] | ||
| Year | Publication | Southeast Climate Consortium Technical Report Series | Abbreviated Journal | ||
| Volume | Issue | Pages | 14 | ||
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| Publisher | SECC | Place of Publication | Gainesville, FL | Editor | |
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| Call Number | COAPS @ mfield @ | Serial | 661 | ||
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| Author | Le Sommer, Julien; Chassignet, E.P.; Wallcraft, A. J. | ||||
| Title | Ocean Circulation Modeling for Operational Oceanography: Current Status and Future Challenges | Type | $loc['typeBook Chapter'] | ||
| Year | 2018 | Publication | New Frontiers in Operational Oceanography | Abbreviated Journal | |
| Volume | Issue | Pages | 289-305 | ||
| Keywords | OCEAN MODELING; OCEAN CIRCULATION; PARAMETERIZATIONS | ||||
| Abstract | This chapter focuses on ocean circulation models used in operational oceanography, physical oceanography and climate science. Ocean circulation models area particular branch of ocean numerical modeling that focuses on the representation of ocean physical properties over spatial scales ranging from the global scale to less than a kilometer and time scales ranging from hours to decades. As such, they are an essential build-ing block for operational oceanography systems and their design receives a lot of attention from operational and research centers. | ||||
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| Publisher | GODAE OceanView | Place of Publication | Tallahassee, FL | Editor | Chassignet, E. P., A. Pascual, J. Tintoré, and J. Verron |
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| Call Number | COAPS @ user @ | Serial | 948 | ||
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| Author | Bourassa, M.A., and P.J. Hughes | ||||
| Title | Surface Heat Fluxes and Wind Remote Sensing | Type | $loc['typeBook Chapter'] | ||
| Year | 2018 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | 245-270 | ||
| Keywords | HEAT; OCEAN SURFACE; WINDS; SCATTEROMETERS; FLUXE; STRESS; RESPONSES | ||||
| Abstract | The exchange of heat and momentum through the air-sea surface are critical aspects of ocean forcing and ocean modeling. Over most of the global oceans, there are few in situ observations that can be used to estimate these fluxes. This chapter provides background on the calculation and application of air-sea fluxes, as well as the use of remote sensing to calculate these fluxes. Wind variability makes a large contribution to variability in surface fluxes, and the remote sensing of winds is relatively mature compared to the air sea differences in temperature and humidity, which are the other key variables. Therefore, the remote sensing of wind is presented in greater detail. These details enable the reader to understand how the improper use of satellite winds can result in regional and seasonal biases in fluxes, and how to calculate fluxes in a manner that removes these biases. Examples are given of high-resolution applications of fluxes, which are used to indicate the strengths and weakness of satellite-based calculations of ocean surface fluxes. | ||||
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| Publisher | GODAE OceanView | Place of Publication | Tallahassee, FL | Editor | Chassignet, E. P., A. Pascual, J. Tintoré, and J. Verron |
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| Call Number | COAPS @ user @ | Serial | 947 | ||
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| Author | Huang, T.; Armstrong, E.M.; Bourassa, M.A.; Cram, T.A.; Elya, J.; Greguska, F.; Jacob, J.C.; Ji, Z.; Jiang, Y.; Li, Y.; Quach, N.T.; McGibbney, L.J.; Smith, S.R.; Wilson, B.D.; Worley S.J.; Yang, C. | ||||
| Title | An Integrated Data Analytics Platform | Type | $loc['typeJournal Article'] | ||
| Year | 2019 | Publication | Marine Science | Abbreviated Journal | Mar. Sci. |
| Volume | 6 | Issue | Pages | ||
| Keywords | big data, Cloud computing, Ocean science, data analysis, Matchup, anomaly detection, open source | ||||
| Abstract | An Integrated Science Data Analytics Platform is an environment that enables the confluence of resources for scientific investigation. It harmonizes data, tools and computational resources to enable the research community to focus on the investigation rather than spending time on security, data preparation, management, etc. OceanWorks is a NASA technology integration project to establish a cloud-based Integrated Ocean Science Data Analytics Platform for big ocean science at NASA�s Physical Oceanography Distributed Active Archive Center (PO.DAAC) for big ocean science. It focuses on advancement and maturity by bringing together several NASA open-source, big data projects for parallel analytics, anomaly detection, in situ to satellite data matchup, quality-screened data subsetting, search relevancy, and data discovery. Our communities are relying on data available through distributed data centers to conduct their research. In typical investigations, scientists would (1) search for data, (2) evaluate the relevance of that data, (3) download it, and (4) then apply algorithms to identify trends, anomalies, or other attributes of the data. Such a workflow cannot scale if the research involves a massive amount of data or multi-variate measurements. With the upcoming NASA Surface Water and Ocean Topography (SWOT) mission expected to produce over 20PB of observational data during its 3-year nominal mission, the volume of data will challenge all existing Earth Science data archival, distribution and analysis paradigms. This paper discusses how OceanWorks enhances the analysis of physical ocean data where the computation is done on an elastic cloud platform next to the archive to deliver fast, web-accessible services for working with oceanographic measurements. |
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| Call Number | COAPS @ user @ | Serial | 1038 | ||
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| Author | Fender, C.K.; Kelly, T.B.; Guidi, L.; Ohman, M.D.; Smith, M.C.; Stukel, M.R. | ||||
| Title | Investigating Particle Size-Flux Relationships and the Biological Pump Across a Range of Plankton Ecosystem States From Coastal to Oligotrophic | Type | $loc['typeJournal Article'] | ||
| Year | 2019 | Publication | Frontiers in Marine Science | Abbreviated Journal | Front. Mar. Sci. |
| Volume | 6 | Issue | Pages | ||
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| ISSN | 2296-7745 | ISBN | Medium | ||
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| Call Number | COAPS @ user @ | Serial | 1074 | ||
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| Author | Lee, C.M.; Starkweather, S.; Eicken, H.; Timmermans, M.-L.; Wilkinson, J.; Sandven, S.; Dukhovskoy, D.; Gerland, S.; Grebmeier, J.; Intrieri, J.M.; Kang, S.-H.; McCammon, M.; Nguyen, A.T.; Polyakov, I.; Rabe, B.; Sagen, H.; Seeyave, S.; Volkov, D.; Beszczynska-Möller, A.; Chafik, L.; Dzieciuch, M.; Goni, G.; Hamre, T.; King, A.L.; Olsen, A.; Raj, R.P.; Rossby, T.; Skagseth, Ø.; Søiland, H.; Sørensen, K. | ||||
| Title | A Framework for the Development, Design and Implementation of a Sustained Arctic Ocean Observing System | Type | $loc['typeJournal Article'] | ||
| Year | 2019 | Publication | Frontiers in Marine Science | Abbreviated Journal | Front. Mar. Sci. |
| Volume | 6 | Issue | Pages | ||
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| ISSN | 2296-7745 | ISBN | Medium | ||
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| Call Number | COAPS @ user @ | Serial | 1044 | ||
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| Author | Davidson, F.; Alvera-Azcárate, A.; Barth, A.; Brassington, G.B.; Chassignet, E.P.; Clementi, E.; De Mey-Frémaux, P.; Divakaran, P.; Harris, C.; Hernandez, F.; Hogan, P.; Hole, L.R.; Holt, J.; Liu, G.; Lu, Y.; Lorente, P.; Maksymczuk, J.; Martin, M.; Mehra, A.; Melsom, A.; Mo, H.; Moore, A.; Oddo, P.; Pascual, A.; Pequignet, A.-C.; Kourafalou, V.; Ryan, A.; Siddorn, J.; Smith, G.; Spindler, D.; Spindler, T.; Stanev, E.V.; Staneva, J.; Storto, A.; Tanajura, C.; Vinayachandran, P.N.; Wan, L.; Wang, H.; Zhang, Y.; Zhu, X.; Zu, Z. | ||||
| Title | Synergies in Operational Oceanography: The Intrinsic Need for Sustained Ocean Observations | Type | $loc['typeJournal Article'] | ||
| Year | 2019 | Publication | Frontiers in Marine Science | Abbreviated Journal | Front. Mar. Sci. |
| Volume | 6 | Issue | Pages | ||
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| Abstract | Operational oceanography can be described as the provision of routine oceanographic information needed for decision-making purposes. It is dependent upon sustained research and development through the end-to-end framework of an operational service, from observation collection to delivery mechanisms. The core components of operational oceanographic systems are a multi-platform observation network, a data management system, a data assimilative prediction system, and a dissemination/accessibility system. These are interdependent, necessitating communication and exchange between them, and together provide the mechanism through which a clear picture of ocean conditions, in the past, present, and future, can be seen. Ocean observations play a critical role in all aspects of operational oceanography, not only for assimilation but as part of the research cycle, and for verification and validation of products. Data assimilative prediction systems are advancing at a fast pace, in tandem with improved science and the growth in computing power. To make best use of the system capability these advances would be matched by equivalent advances in operational observation coverage. This synergy between the prediction and observation systems underpins the quality of products available to stakeholders, and justifies the need for sustained ocean observations. In this white paper, the components of an operational oceanographic system are described, highlighting the critical role of ocean observations, and how the operational systems will evolve over the next decade to improve the characterization of ocean conditions, including at finer spatial and temporal scales. | ||||
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| ISSN | 2296-7745 | ISBN | Medium | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ user @ | Serial | 1083 | ||
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| Author | Domingues, R.; Kuwano-Yoshida, A.; Chardon-Maldonado, P.; Todd, R.E.; Halliwell, G.; Kim, H.-S.; Lin, I.-I.; Sato, K.; Narazaki, T.; Shay, L.K.; Miles, T.; Glenn, S.; Zhang, J.A.; Jayne, S.R.; Centurioni, L.; Le Hénaff, M.; Foltz, G.R.; Bringas, F.; Ali, M.M.; DiMarco, S.F.; Hosoda, S.; Fukuoka, T.; LaCour, B.; Mehra, A.; Sanabia, E.R.; Gyakum, J.R.; Dong, J.; Knaff, J.A.; Goni, G. | ||||
| Title | Ocean Observations in Support of Studies and Forecasts of Tropical and Extratropical Cyclones | Type | $loc['typeJournal Article'] | ||
| Year | 2019 | Publication | Frontiers in Marine Science | Abbreviated Journal | Front. Mar. Sci. |
| Volume | 6 | Issue | Pages | 446 | |
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| Abstract | Over the past decade, measurements from the climate-oriented ocean observing system have been key to advancing the understanding of extreme weather events that originate and intensify over the ocean, such as tropical cyclones (TCs) and extratropical bomb cyclones (ECs). In order to foster further advancements to predict and better understand these extreme weather events, a need for a dedicated observing system component specifically to support studies and forecasts of TCs and ECs has been identified, but such a system has not yet been implemented. New technologies, pilot networks, targeted deployments of instruments, and state-of-the art coupled numerical models have enabled advances in research and forecast capabilities and illustrate a potential framework for future development. Here, applications and key results made possible by the different ocean observing efforts in support of studies and forecasts of TCs and ECs, as well as recent advances in observing technologies and strategies are reviewed. Then a vision and specific recommendations for the next decade are discussed. | ||||
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| ISSN | 2296-7745 | ISBN | Medium | ||
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| Call Number | COAPS @ user @ | Serial | 1043 | ||
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| Author | Kent, E.C.; Rayner, N.A.; Berry, D.I.; Eastman, R.; Grigorieva, V.G.; Huang, B.; Kennedy, J.J.; Smith, S.R.; Willett, K.M. | ||||
| Title | Observing Requirements for Long-Term Climate Records at the Ocean Surface | Type | $loc['typeJournal Article'] | ||
| Year | 2019 | Publication | Frontiers in Marine Science | Abbreviated Journal | Front. Mar. Sci. |
| Volume | 6 | Issue | Pages | 441 | |
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| Abstract | Observations of conditions at the ocean surface have been made for centuries, contributing to some of the longest instrumental records of climate change. Most prominent is the climate data record (CDR) of sea surface temperature (SST), which is itself essential to the majority of activities in climate science and climate service provision. A much wider range of surface marine observations is available however, providing a rich source of data on past climate. We present a general error model describing the characteristics of observations used for the construction of climate records, illustrating the importance of multi-variate records with rich metadata for reducing uncertainty in CDRs. We describe the data and metadata requirements for the construction of stable, multi-century marine CDRs for variables important for describing the changing climate: SST, mean sea level pressure, air temperature, humidity, winds, clouds, and waves. Available sources of surface marine data are reviewed in the context of the error model. We outline the need for a range of complementary observations, including very high quality observations at a limited number of locations and also observations that sample more broadly but with greater uncertainty. We describe how high-resolution modern records, particularly those of high-quality, can help to improve the quality of observations throughout the historical record. We recommend the extension of internationally-coordinated data management and curation to observation types that do not have a primary focus of the construction of climate records. Also recommended is reprocessing the existing surface marine climate archive to improve and quantify data and metadata quality and homogeneity. We also recommend the expansion of observations from research vessels and high quality moorings, routine observations from ships and from data and metadata rescue. Other priorities include: field evaluation of sensors; resources for the process of establishing user requirements and determining whether requirements are being met; and research to estimate uncertainty, quantify biases and to improve methods of construction of CDRs. The requirements developed in this paper encompass specific actions involving a variety of stakeholders, including funding agencies, scientists, data managers, observing network operators, satellite agencies, and international co-ordination bodies. | ||||
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| ISSN | 2296-7745 | ISBN | Medium | ||
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| Call Number | COAPS @ user @ | Serial | 1040 | ||
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| Author | Rodríguez, E.; Bourassa, M.; Chelton, D.; Farrar, J.T.; Long, D.; Perkovic-Martin, D.; Samelson, R. | ||||
| Title | The Winds and Currents Mission Concept | Type | $loc['typeJournal Article'] | ||
| Year | 2019 | Publication | Frontiers in Marine Science | Abbreviated Journal | Front. Mar. Sci. |
| Volume | 6 | Issue | Pages | ||
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| Abstract | The Winds and Currents Mission (WaCM) is a proposed approach to meet the need identified by the NRC Decadal Survey for the simultaneous measurements of ocean vector winds and currents. WaCM features a Ka-band pencil-beam Doppler scatterometer able to map ocean winds and currents globally. We review the principles behind the WaCM measurement and the requirements driving the mission. We then present an overview of the WaCM observatory and tie its capabilities to other OceanObs reviews and measurement approaches. | ||||
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| ISSN | 2296-7745 | ISBN | Medium | ||
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| Call Number | COAPS @ user @ | Serial | 1063 | ||
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