Search

Your search keyword '"Burger, Eugene"' showing total 148 results
Start Over Author "Burger, Eugene"
148 results on '"Burger, Eugene"'

2. Best Practice Data Standards for Discrete Chemical Oceanographic Observations

Author

Jiang, Li-Qing, Pierrot, Denis, Wanninkhof, Rik, Feely, Richard A, Tilbrook, Bronte, Alin, Simone, Barbero, Leticia, Byrne, Robert H, Carter, Brendan R, Dickson, Andrew G, Gattuso, Jean-Pierre, Greeley, Dana, Hoppema, Mario, Humphreys, Matthew P, Karstensen, Johannes, Lange, Nico, Lauvset, Siv K, Lewis, Ernie R, Olsen, Are, Pérez, Fiz F, Sabine, Christopher, Sharp, Jonathan D, Tanhua, Toste, Trull, Thomas W, Velo, Anton, Allegra, Andrew J, Barker, Paul, Burger, Eugene, Cai, Wei-Jun, Chen, Chen-Tung A, Cross, Jessica, Garcia, Hernan, Hernandez-Ayon, Jose Martin, Hu, Xinping, Kozyr, Alex, Langdon, Chris, Lee, Kitack, Salisbury, Joe, Wang, Zhaohui Aleck, and Xue, Liang

Subjects
Life Below Water, data standard for chemical oceanography, discrete chemical oceanographic observations, column header abbreviations, WOCE WHP exchange formats, quality control flags, content vs.& nbsp, concentration, CO2SYS, TEOS-10, Oceanography, Ecology
Abstract

Effective data management plays a key role in oceanographic research as cruise-based data, collected from different laboratories and expeditions, are commonly compiled to investigate regional to global oceanographic processes. Here we describe new and updated best practice data standards for discrete chemical oceanographic observations, specifically those dealing with column header abbreviations, quality control flags, missing value indicators, and standardized calculation of certain properties. These data standards have been developed with the goals of improving the current practices of the scientific community and promoting their international usage. These guidelines are intended to standardize data files for data sharing and submission into permanent archives. They will facilitate future quality control and synthesis efforts and lead to better data interpretation. In turn, this will promote research in ocean biogeochemistry, such as studies of carbon cycling and ocean acidification, on regional to global scales. These best practice standards are not mandatory. Agencies, institutes, universities, or research vessels can continue using different data standards if it is important for them to maintain historical consistency. However, it is hoped that they will be adopted as widely as possible to facilitate consistency and to achieve the goals stated above.

Published
2022

3. The Ocean Carbon and Acidification Data System

Author

Jiang, Li-Qing, Kozyr, Alex, Relph, John M., Ronje, Errol I., Kamb, Linus, Burger, Eugene, Myer, Jonathan, Nguyen, Liem, Arzayus, Krisa M., Boyer, Tim, Cross, Scott, Garcia, Hernan, Hogan, Patrick, Larsen, Kirsten, and Parsons, A. Rost

Published
2023
Full Text
View/download PDF

4. Surface ocean warming near the core of hurricane Sam and its representation in forecast models

Author

Chiodi, Andrew M., primary, Hristova, Hristina, additional, Foltz, Gregory R., additional, Zhang, Jun A., additional, Mordy, Calvin W., additional, Edwards, Catherine R., additional, Zhang, Chidong, additional, Meinig, Christian, additional, Zhang, Dongxiao, additional, Mazza, Edoardo, additional, Cokelet, Edward D., additional, Burger, Eugene F., additional, Bringas, Francis, additional, Goni, Gustavo, additional, Kim, Hyun-Sook, additional, Chen, Sue, additional, Triñanes, Joaquin, additional, Bailey, Kathleen, additional, O’Brien, Kevin M., additional, Morales-Caez, Maria, additional, Lawrence-Slavas, Noah, additional, Chen, Shuyi S., additional, and Chen, Xingchao, additional

Published
2024
Full Text
View/download PDF

5. A vision for FAIR ocean data products

Author

Tanhua, Toste, Lauvset, Siv K., Lange, Nico, Olsen, Are, Álvarez, Marta, Diggs, Stephen, Bittig, Henry C., Brown, Peter J., Carter, Brendan R., da Cunha, Leticia Cotrim, Feely, Richard A., Hoppema, Mario, Ishii, Masao, Jeansson, Emil, Kozyr, Alex, Murata, Akihiko, Pérez, Fiz F., Pfeil, Benjamin, Schirnick, Carsten, Steinfeldt, Reiner, Telszewski, Maciej, Tilbrook, Bronte, Velo, Anton, Wanninkhof, Rik, Burger, Eugene, O’Brien, Kevin, and Key, Robert M.

Published
2021
Full Text
View/download PDF

6. Hurricane Observations by Uncrewed Systems

Author

Zhang, Chidong, primary, Foltz, Gregory R., additional, Chiodi, Andy M., additional, Mordy, Calvin W., additional, Edwards, Catherine R., additional, Meinig, Christian, additional, Zhang, Dongxiao, additional, Mazza, Edoardo, additional, Cokelet, Edward D., additional, Burger, Eugene F., additional, Bringas, Francis, additional, Goni, Gustavo J., additional, Hristova, Hristina G., additional, Kim, Hyun-Sook, additional, Trinanes, Joaquin A., additional, Zhang, Jun A., additional, Bailey, Kathleen E., additional, O’Brien, Kevin M., additional, Morales-Caez, Maria, additional, Lawrence-Slavas, Noah, additional, Jenkins, Richard, additional, Chen, Shuyi S., additional, and Chen, Xingchao, additional

Published
2023
Full Text
View/download PDF

7. Why should MOC observers care about OceanSITES the global network for fixed-point time series observations?

Author

Karstensen, Johannes, Somavilla, Raquel, Burger, Eugene, Cronin, Meghan, Gates, Andrew, Shadwick, Elizabeth, Send, Uwe, Ueki, Iwao, and Wallace, Douglas

Abstract

Direct observation of the Atlantic Meridional Overturning Circulation (AMOC) requires the installation and operation of complex observing systems. Therefore AMOC observations are in maybe all cases realized by combining local and regional observational efforts of multiple countries. This way, nations resources and infrastructures are brought together in a coordinated way to collect the necessary observations with the lowest possible effort and cost (e.g. OSNAP in the Subpolar Atlantic, RAPID in the Subtropical, SAMOC in the South Atlantic, MOVE). A global umbrella for a further coordination of fixed-point time series observations that contribute to AMOC observing is provided by OceanSITES. This presentation will introduce the vision and mission of OceanSITES to support long-term high-quality time series observations. The current “uptake” of OceanSITES by the AMOC observation community will be discussed and achievements and future plans of the OceanSITES network will be introduced., The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)

Published
2023

9. Best Practice Data Standards for Discrete Chemical Oceanographic Observations [Oral]

Author

Jiang, Li Qing, Pierrot, Denis, Wanninkhof, Rik, Feely, Richard A., Tilbrook, Bronte, Alin, Simone, Barbero, Leticia, Burne, Robert H., Carter, Brendan R., Dickson, Andrew G., Gattuso, Jean-Pierre, Greeley, Dana, Hoppema, Mario, Humphreys, Matthew P., Karstensen, Johannes, Lange, Nico, Lauvset, Siv K., Lewis, Ernie R., Olsen, Are, Pérez, Fiz F., Sabine, Christopher L., Sharp, Jonathan D., Tanhua, Toste, Trull, Thomas W., Velo, A., Allegra, Andrew J., Barker, Paul, Burger, Eugene, Cai, Wei Jun, Chen, Chen-Tung A., Cross, Jessica, García, Hernán E., Hernández-Ayon, José Martín, Hu, Xinping, Kozyr, Alex, Langdon, Chris, Lee, Kitack, Salisbury, Joe, Wang, Zhaohui Aleck, Xue, Liang, Jiang, Li Qing, Pierrot, Denis, Wanninkhof, Rik, Feely, Richard A., Tilbrook, Bronte, Alin, Simone, Barbero, Leticia, Burne, Robert H., Carter, Brendan R., Dickson, Andrew G., Gattuso, Jean-Pierre, Greeley, Dana, Hoppema, Mario, Humphreys, Matthew P., Karstensen, Johannes, Lange, Nico, Lauvset, Siv K., Lewis, Ernie R., Olsen, Are, Pérez, Fiz F., Sabine, Christopher L., Sharp, Jonathan D., Tanhua, Toste, Trull, Thomas W., Velo, A., Allegra, Andrew J., Barker, Paul, Burger, Eugene, Cai, Wei Jun, Chen, Chen-Tung A., Cross, Jessica, García, Hernán E., Hernández-Ayon, José Martín, Hu, Xinping, Kozyr, Alex, Langdon, Chris, Lee, Kitack, Salisbury, Joe, Wang, Zhaohui Aleck, and Xue, Liang

Published
2022

10. Best Practice Data Standards for Discrete Chemical Oceanographic Observations

Author

Ministerio de Ciencia, Innovación y Universidades (España), National Oceanic and Atmospheric Administration (US), Integrated Marine Observing System (Australia), National Collaborative Research Infrastructure Strategy (Australia), European Commission, University of Maryland, Jiang, Li Qing, Pierrot, Denis, Wanninkhof, Rik, Feely, Richard A., Tilbrook, Bronte, Alin, Simone, Barbero, Leticia, Byrne, Robert H., Carter, Brendan R., Dickson, Andrew G., Gattuso, Jean-Pierre, Greeley, Dana, Hoppema, Mario, Humphreys, Matthew P., Karstensen, Johannes, Lange, Nico, Lauvset, Siv K., Lewis, Ernie R., Olsen, Are, Pérez, Fiz F., Sabine, Christopher L., Sharp, Jonathan D., Tanhua, Toste, Trull, Thomas W., Velo, A., Allegra, Andrew J., Barker, Paul, Burger, Eugene, Cai, Wei Jun, Chen, Chen-Tung A., Cross, Jessica, García, Hernán E., Hernández-Ayon, José Martín, Hu, Xinping, Kozyr, Alex, Langdon, Chris, Lee, Kitack, Salisbury, Joe, Wang, Zhaohui Aleck, Xue, Liang, Ministerio de Ciencia, Innovación y Universidades (España), National Oceanic and Atmospheric Administration (US), Integrated Marine Observing System (Australia), National Collaborative Research Infrastructure Strategy (Australia), European Commission, University of Maryland, Jiang, Li Qing, Pierrot, Denis, Wanninkhof, Rik, Feely, Richard A., Tilbrook, Bronte, Alin, Simone, Barbero, Leticia, Byrne, Robert H., Carter, Brendan R., Dickson, Andrew G., Gattuso, Jean-Pierre, Greeley, Dana, Hoppema, Mario, Humphreys, Matthew P., Karstensen, Johannes, Lange, Nico, Lauvset, Siv K., Lewis, Ernie R., Olsen, Are, Pérez, Fiz F., Sabine, Christopher L., Sharp, Jonathan D., Tanhua, Toste, Trull, Thomas W., Velo, A., Allegra, Andrew J., Barker, Paul, Burger, Eugene, Cai, Wei Jun, Chen, Chen-Tung A., Cross, Jessica, García, Hernán E., Hernández-Ayon, José Martín, Hu, Xinping, Kozyr, Alex, Langdon, Chris, Lee, Kitack, Salisbury, Joe, Wang, Zhaohui Aleck, and Xue, Liang

Abstract

Effective data management plays a key role in oceanographic research as cruise-based data, collected from different laboratories and expeditions, are commonly compiled to investigate regional to global oceanographic processes. Here we describe new and updated best practice data standards for discrete chemical oceanographic observations, specifically those dealing with column header abbreviations, quality control flags, missing value indicators, and standardized calculation of certain properties. These data standards have been developed with the goals of improving the current practices of the scientific community and promoting their international usage. These guidelines are intended to standardize data files for data sharing and submission into permanent archives. They will facilitate future quality control and synthesis efforts and lead to better data interpretation. In turn, this will promote research in ocean biogeochemistry, such as studies of carbon cycling and ocean acidification, on regional to global scales. These best practice standards are not mandatory. Agencies, institutes, universities, or research vessels can continue using different data standards if it is important for them to maintain historical consistency. However, it is hoped that they will be adopted as widely as possible to facilitate consistency and to achieve the goals stated above.

Published
2022

11. Best Practice Data Standards for Discrete Chemical Oceanographic Observations

Author

Jiang, Li-Qing, primary, Pierrot, Denis, additional, Wanninkhof, Rik, additional, Feely, Richard A., additional, Tilbrook, Bronte, additional, Alin, Simone, additional, Barbero, Leticia, additional, Byrne, Robert H., additional, Carter, Brendan R., additional, Dickson, Andrew G., additional, Gattuso, Jean-Pierre, additional, Greeley, Dana, additional, Hoppema, Mario, additional, Humphreys, Matthew P., additional, Karstensen, Johannes, additional, Lange, Nico, additional, Lauvset, Siv K., additional, Lewis, Ernie R., additional, Olsen, Are, additional, Pérez, Fiz F., additional, Sabine, Christopher, additional, Sharp, Jonathan D., additional, Tanhua, Toste, additional, Trull, Thomas W., additional, Velo, Anton, additional, Allegra, Andrew J., additional, Barker, Paul, additional, Burger, Eugene, additional, Cai, Wei-Jun, additional, Chen, Chen-Tung A., additional, Cross, Jessica, additional, Garcia, Hernan, additional, Hernandez-Ayon, Jose Martin, additional, Hu, Xinping, additional, Kozyr, Alex, additional, Langdon, Chris, additional, Lee, Kitack, additional, Salisbury, Joe, additional, Wang, Zhaohui Aleck, additional, and Xue, Liang, additional

Published
2022
Full Text
View/download PDF

12. A vision for FAIR ocean data products

Author

Tanhua, T. [0000-0002-0313-2557], Álvarez, Marta [0000-0002-5075-9344], Bittig, Henry C. [0000-0002-8621-3095], Brown, P. [0000-0002-1152-1114], Cotrim da Cunha, Leticia [0000-0001-8035-1430], Hoppema, M. [0000-0002-2326-619X], Ishii, Masao [0000-0002-7328-4599], Jeansson, Emil [0000-0002-2501-3479], Pérez, Fiz F. [0000-0003-4836-8974], Schirnick, C. [0000-0003-4111-9174], Steinfeldt, R. [0000-0002-3704-3990], Tilbrook, Bronte [0000-0001-9385-3827], Velo, A. [0000-0002-7598-5700], Tanhua, Toste, Lauvset, Siv K., Lange, Nico, Olsen, Are, Álvarez-Rodríguez, Marta, Diggs, Stephen, Bittig, Henry C., Brown, Peter J., Carter, Brendan R., Cotrim da Cunha, Leticia, Feely, Richard A., Hoppema, Mario, Ishii, Masao, Jeansson, Emil, Kozyr, Alex, Murata, Akihiko, Pérez, Fiz F., Pfeil, Benjamin, Schirnick, Carsten, Steinfeldt, Reiner, Telszewski, Maciej, Tilbrook, Bronte, Velo, A., Wanninkhof, Rik, Burger, Eugene, O'Brien, Kevin, Key, Robert M., Tanhua, T. [0000-0002-0313-2557], Álvarez, Marta [0000-0002-5075-9344], Bittig, Henry C. [0000-0002-8621-3095], Brown, P. [0000-0002-1152-1114], Cotrim da Cunha, Leticia [0000-0001-8035-1430], Hoppema, M. [0000-0002-2326-619X], Ishii, Masao [0000-0002-7328-4599], Jeansson, Emil [0000-0002-2501-3479], Pérez, Fiz F. [0000-0003-4836-8974], Schirnick, C. [0000-0003-4111-9174], Steinfeldt, R. [0000-0002-3704-3990], Tilbrook, Bronte [0000-0001-9385-3827], Velo, A. [0000-0002-7598-5700], Tanhua, Toste, Lauvset, Siv K., Lange, Nico, Olsen, Are, Álvarez-Rodríguez, Marta, Diggs, Stephen, Bittig, Henry C., Brown, Peter J., Carter, Brendan R., Cotrim da Cunha, Leticia, Feely, Richard A., Hoppema, Mario, Ishii, Masao, Jeansson, Emil, Kozyr, Alex, Murata, Akihiko, Pérez, Fiz F., Pfeil, Benjamin, Schirnick, Carsten, Steinfeldt, Reiner, Telszewski, Maciej, Tilbrook, Bronte, Velo, A., Wanninkhof, Rik, Burger, Eugene, O'Brien, Kevin, and Key, Robert M.

Abstract

The ocean is mitigating global warming by absorbing large amounts of excess carbon dioxide from human activities. To quantify and monitor the ocean carbon sink, we need a state-of-the-art data resource that makes data submission and retrieval machine-compatible and efficient

Published
2021

13. Exploring the Pacific Arctic Seasonal Ice Zone With Saildrone USVs

Author

Chiodi, Andrew M., primary, Zhang, Chidong, additional, Cokelet, Edward D., additional, Yang, Qiong, additional, Mordy, Calvin W., additional, Gentemann, Chelle L., additional, Cross, Jessica N., additional, Lawrence-Slavas, Noah, additional, Meinig, Christian, additional, Steele, Michael, additional, Harrison, Don E., additional, Stabeno, Phyllis J., additional, Tabisola, Heather M., additional, Zhang, Dongxiao, additional, Burger, Eugene F., additional, O’Brien, Kevin M., additional, and Wang, Muyin, additional

Published
2021
Full Text
View/download PDF

14. QARTOD - Prospects for Real-Time Quality Control Manuals, How to Create Them, and a Vision for Advanced Implementation

Author

Bushnell, Mark, Bailey, Kathleen, Bosch, Julie, Burger, Eugene, Dorton, Jennifer, Easily, Regina, Heitsenrether, Bob, King, Jeff, Grissom, Karen, Tamburri, Mario, Thomas, Julianna, and Waldmann, Christoph

Subjects
Data quality control [Data Management Practices], Cross-discipline [Parameter Discipline], Data Management Practices::Metadata management, Parameter Discipline::Cross-discipline, Data quality management [Data Management Practices], Data interoperability development [Data Management Practices], Metadata management [Data Management Practices], Data Management Practices::Data quality control, Data Management Practices::Data interoperability development, Data Management Practices::Data quality management
Abstract

The United States Integrated Ocean Observing System® (U.S. IOOS®) Quality Assurance / Quality Control of Real-Time Oceanographic Data (QARTOD) Project marshaled hundreds of volunteer subject-matter experts to identify tests to evaluate real-time data quality by variable and instrument type. These quality control steps, outlined in QARTOD manuals, are crucial for documenting the reliability of the collected real-time environmental data. QARTOD, which began as an ad hoc effort in 2003, has published thirteen quality control manuals. Specific aspirations for future QARTOD efforts include revising existing manuals, identifying new manuals for development based on the QARTOD community development process, and promoting the documented quality control procedures within the IOOS and broader ocean observing system communities. QARTOD manuals characterize the quality control processes as required, strongly recommended, or suggested for each sensor type. QARTOD manuals can be developed only when, 1) interoperable data streams are employed, 2) data are disseminated and used in real-time, and 3) there is sufficient community expertise and interest. An initial review of U.S. IOOS core variables and Global Ocean Observing System Essential Ocean Variables (considering these three requirements) reveals no remaining variables with an immediate need for manual development. As technologies advance, the observational maturity increases for these variables, as will the need for a QARTOD manual. QARTOD QC tests are now being implemented by operators at ocean observing systems around the world. Technological progress (e.g., autonomous vehicles) suggests a high potential for expanding the real-time quality control measures integrated within field instrumentation. Most required QARTOD tests can be embedded and implemented within the field-deployed equipment, and QARTOD-ready devices likely will be available soon. As the Internet of Things grows to include oceanographic hardware (Xu et al. 2019), such embedded QC processes will become important. Published Non Refereed Current 14.A Best Practice

Published
2020
Full Text
View/download PDF

17. Ocean Data Product Integration Through Innovation-The Next Level of Data Interoperability

Author

Buck, Justin JH, Bainbridge, Scott J, Burger, Eugene F, Kraberg, Alexandra C, Casari, Matthew, Casey, Kenneth S, Darroch, Louise, Del Rio, Joaquin, Metfies, Katja, Delory, Eric, Fischer, Philipp F, Gardner, Thomas, Heffernan, Ryan, Jirka, Simon, Kokkinaki, Alexandra, Loebl, Martina, Buttigieg, Pier Luigi, Pearlman, Jay S, Schewe, Ingo, Buck, Justin JH, Bainbridge, Scott J, Burger, Eugene F, Kraberg, Alexandra C, Casari, Matthew, Casey, Kenneth S, Darroch, Louise, Del Rio, Joaquin, Metfies, Katja, Delory, Eric, Fischer, Philipp F, Gardner, Thomas, Heffernan, Ryan, Jirka, Simon, Kokkinaki, Alexandra, Loebl, Martina, Buttigieg, Pier Luigi, Pearlman, Jay S, and Schewe, Ingo

Published
2019

18. Ocean Data Product Integration Through Innovation-The Next Level of Data Interoperability

Author

Buck, Justin J. H., Bainbridge, Scott J., Burger, Eugene F., Kraberg, Alexandra C., Casari, Matthew, Casey, Kenneth S., Darroch, Louise, Rio, Joaquin Del, Metfies, Katja, Delory, Eric, Fischer, Philipp, Gardner, Thomas, Heffernan, Ryan, Jirka, Simon, Kokkinaki, Alexandra, Loebl, Martina, Buttigieg, Pier Luigi, Pearlman, Jay S., Schewe, Ingo, Buck, Justin J. H., Bainbridge, Scott J., Burger, Eugene F., Kraberg, Alexandra C., Casari, Matthew, Casey, Kenneth S., Darroch, Louise, Rio, Joaquin Del, Metfies, Katja, Delory, Eric, Fischer, Philipp, Gardner, Thomas, Heffernan, Ryan, Jirka, Simon, Kokkinaki, Alexandra, Loebl, Martina, Buttigieg, Pier Luigi, Pearlman, Jay S., and Schewe, Ingo

Abstract

In the next decade the pressures on ocean systems and the communities that rely on them will increase as multiple stressors of climate change, food security and human activities start to impact. Our ability to manage and sustain our oceans will depend on the data we collect and the information and knowledge generated. Much of the uptake of this knowledge will be outside the ocean domain, for example by policy makers, local Governments, custodians and other organizations, so it is imperative that we democratize or open the access and use of ocean data. This paper looks at how technologies, scoped by standards, best practice and communities of practice, can be deployed to change the way that ocean data is accessed, utilized, value added and transformed into information and knowledge. The current portal-download model which requires the user to know what data exists, where it is stored, in what format and with what processing, limits the uptake and use of ocean data. Using examples from a range of disciplines, a web services model of data and information flows is presented. A framework is described, including the systems, processes and human components, which delivers a radical rethink about the delivery of knowledge from ocean data. A series of vision statements describe parts of the future vision along with a series of recommendations about how this may be achieved. The paper recommends the development of virtual test-beds for end to end development of new data workflows and knowledge pathways. This supports the continued development, rationalization and uptake of standards, creates a platform around which a community of practice can be developed, promotes cross discipline engagement from ocean science through to ocean policy, allows for the commercial sector, including the informatics sector, to partner in delivering outcomes and provides a focus to leverage long term sustained funding. The next ten years will be �make or break� for many ocean systems. The decad

Published
2019

19. The Joint IOC (of UNESCO) and WMO Collaborative Effort for Met-Ocean Services

Author

Pinardi, Nadia, Stander, Johan, Legler, David M., O'Brien, Kevin, Boyer, Tim, Cuff, Tom, Bahurel, Pierre, Belbeoch, Mathieu, Belov, Sergey, Brunner, Shelby, Burger, Eugene, Carval, Thierry, Chang-seng, Denis, Charpentier, Etienne, Ciliberti, S., Coppini, Giovanni, Fischer, Albert, Freeman, Eric, Gallage, Champika, Garcia, Hernan, Gates, Lydia, Gong, Zhiqiang, Hermes, Juliet, Heslop, Emma, Grimes, Sarah, Hill, Katherine, Horsburgh, Kevin, Iona, Athanasia, Mancini, Sebastien, Moodie, Neal, Ouellet, Mathieu, Pissierssens, Peter, Poli, Paul, Proctor, Roger, Smith, Neville, Sun, Charles, Swail, Val, Turton, Jonathan, Xinyang, Yue, Pinardi, Nadia, Stander, Johan, Legler, David M., O'Brien, Kevin, Boyer, Tim, Cuff, Tom, Bahurel, Pierre, Belbeoch, Mathieu, Belov, Sergey, Brunner, Shelby, Burger, Eugene, Carval, Thierry, Chang-seng, Denis, Charpentier, Etienne, Ciliberti, S., Coppini, Giovanni, Fischer, Albert, Freeman, Eric, Gallage, Champika, Garcia, Hernan, Gates, Lydia, Gong, Zhiqiang, Hermes, Juliet, Heslop, Emma, Grimes, Sarah, Hill, Katherine, Horsburgh, Kevin, Iona, Athanasia, Mancini, Sebastien, Moodie, Neal, Ouellet, Mathieu, Pissierssens, Peter, Poli, Paul, Proctor, Roger, Smith, Neville, Sun, Charles, Swail, Val, Turton, Jonathan, and Xinyang, Yue

Abstract

The WMO-IOC Joint Technical Commission for Oceanography and Marine Meteorology (JCOMM) has devised a coordination mechanism for the fit-for-purpose delivery of an end-to-end system, from ocean observations to met-ocean operational services. This paper offers a complete overview of the activities carried out by JCOMM and the status of the achievements up to 2018. The JCOMM stakeholders consist of the research and operational institutions of WMO members and the IOC member states, which mandated JCOMM to devise an international strategy to move toward the achievement of the United Nations Sustainable Development Goals. The three areas of activity are the Observation Program Area (OPA), the Data Management Program Area (DMPA) and the Services and Forecasting Services Program Area (SFSPA), and several expert teams have been established to contribute to the international coordination efforts. OPA is organized into observing networks connected by different observing technologies, DMPA organizes the overall near-real time and delayed mode data assembly, and the delivery methodology and architecture, and the SFSPA coordinates the met-ocean services resulting from the observations and data management. Future developments should enhance coordination in these three program areas by considering the inclusion of new and emergent observing technologies, the interoperability of met-ocean data assembly centers and the establishment of efficient research to operations protocols, in addition to better fit-for-purpose customized services in both the public and private sectors.

Published
2019
Full Text
View/download PDF

20. Ocean FAIR Data Services

Author

Tanhua, Toste, Pouliquen, Sylvie, Hausman, Jessica, O’brien, Kevin, Bricher, Pip, De Bruin, Taco, Buck, Justin J. H., Burger, Eugene F., Carval, Thierry, Casey, Kenneth S., Diggs, Steve, Giorgetti, Alessandra, Glaves, Helen, Harscoat, Valerie, Kinkade, Danie, Muelbert, Jose H., Novellino, Antonio, Pfeil, Benjamin, Pulsifer, Peter L., Van De Putte, Anton, Robinson, Erin, Schaap, Dick, Smirnov, Alexander, Smith, Neville, Snowden, Derrick, Spears, Tobias, Stall, Shelley, Tacoma, Marten, Thijsse, Peter, Tronstad, Stein, Vandenberghe, Thomas, Wengren, Micah, Wyborn, Lesley, Zhao, Zhiming, Tanhua, Toste, Pouliquen, Sylvie, Hausman, Jessica, O’brien, Kevin, Bricher, Pip, De Bruin, Taco, Buck, Justin J. H., Burger, Eugene F., Carval, Thierry, Casey, Kenneth S., Diggs, Steve, Giorgetti, Alessandra, Glaves, Helen, Harscoat, Valerie, Kinkade, Danie, Muelbert, Jose H., Novellino, Antonio, Pfeil, Benjamin, Pulsifer, Peter L., Van De Putte, Anton, Robinson, Erin, Schaap, Dick, Smirnov, Alexander, Smith, Neville, Snowden, Derrick, Spears, Tobias, Stall, Shelley, Tacoma, Marten, Thijsse, Peter, Tronstad, Stein, Vandenberghe, Thomas, Wengren, Micah, Wyborn, Lesley, and Zhao, Zhiming

Abstract

Well-founded data management systems are of vital importance for ocean observing systems as they ensure that essential data are not only collected but also retained and made accessible for analysis and application by current and future users. Effective data management requires collaboration across activities including observations, metadata and data assembly, quality assurance and control (QA/QC), and data publication that enables local and interoperable discovery and access and secures archiving that guarantees long-term preservation. To achieve this, data should be findable, accessible, interoperable, and reusable (FAIR). Here, we outline how these principles apply to ocean data and illustrate them with a few examples. In recent decades, ocean data managers, in close collaboration with international organizations, have played an active role in the improvement of environmental data standardization, accessibility, and interoperability through different projects, enhancing access to observation data at all stages of the data life cycle and fostering the development of integrated services targeted to research, regulatory, and operational users. As ocean observing systems evolve and an increasing number of autonomous platforms and sensors are deployed, the volume and variety of data increase dramatically. For instance, there are more than 70 data catalogs that contain metadata records for the polar oceans, a situation that makes comprehensive data discovery beyond the capacity of most researchers. To better serve research, operational, and commercial users, more efficient turnaround of quality data in known formats and made available through Web services is necessary. In particular, automation of data workflows will be critical to reduce friction throughout the data value chain. Adhering to the FAIR principles with free, timely, and unrestricted access to ocean observation data is beneficial for the originators, has obvious benefits for users, and is an essential found

Published
2019
Full Text
View/download PDF

21. Evolving and Sustaining Ocean Best Practices and Standards for the Next Decade

Author

Pearlman, Jay, Bushnell, Mark, Coppola, Laurent, Karstensen, Johannes, Buttigieg, Pier Luigi, Pearlman, Francoise, Simpsons, Pauline, Barbier, Michele, Muller-karger, Frank E., Munoz-mas, Cristian, Pissierssens, Peter, Chandler, Cyndy, Hermes, Juliet, Heslop, Emma, Jenkyns, Reyna, Achterberg, Eric P., Bensi, Manuel, Bittig, Henry C., Blandin, Jerome, Bosch, Julie, Bourles, Bernard, Bozzano, Roberto, Buck, Justin J. H., Burger, Eugene F., Cano, Daniel, Cardin, Vanessa, Llorens, Miguel Charcos, Cianca, Andres, Chen, Hua, Cusack, Caroline, Delory, Eric, Garello, Rene, Giovanetti, Gabriele, Harscoat, Valerie, Hartman, Susan, Heitsenrether, Robert, Jirka, Simon, Lara-lopez, Ana, Lanteri, Nadine, Leadbetter, Adam, Manzella, Giuseppe, Maso, Joan, Mccurdy, Andrea, Moussat, Eric, Ntoumas, Manolis, Pensieri, Sara, Petihakis, George, Pinardi, Nadia, Pouliquen, Sylvie, Przeslawski, Rachel, Roden, Nicholas P., Silke, Joe, Tamburri, Mario N., Tang, Hairong, Tanhua, Toste, Telszewski, Maciej, Testor, Pierre, Thomas, Julie, Waldmann, Christoph, Whoriskey, Fred, Pearlman, Jay, Bushnell, Mark, Coppola, Laurent, Karstensen, Johannes, Buttigieg, Pier Luigi, Pearlman, Francoise, Simpsons, Pauline, Barbier, Michele, Muller-karger, Frank E., Munoz-mas, Cristian, Pissierssens, Peter, Chandler, Cyndy, Hermes, Juliet, Heslop, Emma, Jenkyns, Reyna, Achterberg, Eric P., Bensi, Manuel, Bittig, Henry C., Blandin, Jerome, Bosch, Julie, Bourles, Bernard, Bozzano, Roberto, Buck, Justin J. H., Burger, Eugene F., Cano, Daniel, Cardin, Vanessa, Llorens, Miguel Charcos, Cianca, Andres, Chen, Hua, Cusack, Caroline, Delory, Eric, Garello, Rene, Giovanetti, Gabriele, Harscoat, Valerie, Hartman, Susan, Heitsenrether, Robert, Jirka, Simon, Lara-lopez, Ana, Lanteri, Nadine, Leadbetter, Adam, Manzella, Giuseppe, Maso, Joan, Mccurdy, Andrea, Moussat, Eric, Ntoumas, Manolis, Pensieri, Sara, Petihakis, George, Pinardi, Nadia, Pouliquen, Sylvie, Przeslawski, Rachel, Roden, Nicholas P., Silke, Joe, Tamburri, Mario N., Tang, Hairong, Tanhua, Toste, Telszewski, Maciej, Testor, Pierre, Thomas, Julie, Waldmann, Christoph, and Whoriskey, Fred

Abstract

The oceans play a key role in global issues such as climate change, food security, and human health. Given their vast dimensions and internal complexity, efficient monitoring and predicting of the planet's ocean must be a collaborative effort of both regional and global scale. A first and foremost requirement for such collaborative ocean observing is the need to follow well-defined and reproducible methods across activities: from strategies for structuring observing systems, sensor deployment and usage, and the generation of data and information products, to ethical and governance aspects when executing ocean observing. To meet the urgent, planet-wide challenges we face, methods across all aspects of ocean observing should be broadly adopted by the ocean community and, where appropriate, should evolve into "Ocean Best Practices." While many groups have created best practices, they are scattered across the Web or buried in local repositories and many have yet to be digitized. To reduce this fragmentation, we introduce a new open access, permanent, digital repository of best practices documentation (oceanbestpractices.org ) that is part of the Ocean Best Practices System (OBPS). The new OBPS provides an opportunity space for the centralized and coordinated improvement of ocean observing methods. The OBPS repository employs user-friendly software to significantly improve discovery and access to methods. The software includes advanced semantic technologies for search capabilities to enhance repository operations. In addition to the repository, the OBPS also includes a peer reviewed journal research topic, a forum for community discussion and a training activity for use of best practices. Together, these components serve to realize a core objective of the OBPS, which is to enable the ocean community to create superior methods for every activity in ocean observing from research to operations to applications that are agreed upon and broadly adopted across communities. Usin

Published
2019
Full Text
View/download PDF

22. From the oceans to the cloud: Opportunities and challenges for data, models, computation and workflows.

Author

Vance, Tiffany C., Wengren, Micah, Burger, Eugene, Hernandez, Debra, Kearns, Timothy, Medina-Lopez, Encarni, Merati, Nazila, O'Brien, Kevin, O’Neil, Jon, Potemra, James T., Signell, Richard P., Wilcox, Kyle, Vance, Tiffany C., Wengren, Micah, Burger, Eugene, Hernandez, Debra, Kearns, Timothy, Medina-Lopez, Encarni, Merati, Nazila, O'Brien, Kevin, O’Neil, Jon, Potemra, James T., Signell, Richard P., and Wilcox, Kyle

Abstract

© The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Vance, T. C., Wengren, M., Burger, E., Hernandez, D., Kearns, T., Medina-Lopez, E., Merati, N., O'Brien, K., O'Neil, J., Potemrag, J. T., Signell, R. P., & Wilcox, K. From the oceans to the cloud: Opportunities and challenges for data, models, computation and workflows. Frontiers in Marine Science, 6(211), (2019), doi:10.3389/fmars.2019.00211., Advances in ocean observations and models mean increasing flows of data. Integrating observations between disciplines over spatial scales from regional to global presents challenges. Running ocean models and managing the results is computationally demanding. The rise of cloud computing presents an opportunity to rethink traditional approaches. This includes developing shared data processing workflows utilizing common, adaptable software to handle data ingest and storage, and an associated framework to manage and execute downstream modeling. Working in the cloud presents challenges: migration of legacy technologies and processes, cloud-to-cloud interoperability, and the translation of legislative and bureaucratic requirements for “on-premises” systems to the cloud. To respond to the scientific and societal needs of a fit-for-purpose ocean observing system, and to maximize the benefits of more integrated observing, research on utilizing cloud infrastructures for sharing data and models is underway. Cloud platforms and the services/APIs they provide offer new ways for scientists to observe and predict the ocean’s state. High-performance mass storage of observational data, coupled with on-demand computing to run model simulations in close proximity to the data, tools to manage workflows, and a framework to share and collaborate, enables a more flexible and adaptable observation and prediction computing architecture. Model outputs are stored in the cloud and researchers either download subsets for their interest/area or feed them into their own simulations without leaving the cloud. Expanded storage and computing capabilities make it easier to create, analyze, and distribute products derived from long-term datasets. In this paper, we provide an introduction to cloud computing, describe current uses of the cloud for management and analysis of observational data and model results, and describe workflows for running models and streaming observational data. We discuss topics, This is PMEL contribution 4873.

Published
2019

23. Ocean data product integration through innovation-the next level of data interoperability

Author

Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica, Universitat Politècnica de Catalunya. SARTI-MAR - Sistemes d'Adquisició Remota de dades i Tractament de la Informació en el Medi Marí, Buck, Justin James Henry, Bainbridge, Scott Jeffrey, Burger, Eugene Francis, Río Fernández, Joaquín del, Delory, Eric, Fischer, Philipp, Jirka, Simon, Pearlman, Jay S, Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica, Universitat Politècnica de Catalunya. SARTI-MAR - Sistemes d'Adquisició Remota de dades i Tractament de la Informació en el Medi Marí, Buck, Justin James Henry, Bainbridge, Scott Jeffrey, Burger, Eugene Francis, Río Fernández, Joaquín del, Delory, Eric, Fischer, Philipp, Jirka, Simon, and Pearlman, Jay S

Abstract

In the next decade the pressures on ocean systems and the communities that rely on them will increase along with impacts from the multiple stressors of climate change and human activities. Our ability to manage and sustain our oceans will depend on the data we collect and the information and knowledge derived from it. Much of the uptake of this knowledge will be outside the ocean domain, for example by policy makers, local Governments, custodians, and other organizations, so it is imperative that we democratize or open the access and use of ocean data. This paper looks at how technologies, scoped by standards, best practice and communities of practice, can be deployed to change the way that ocean data is accessed, utilized, augmented and transformed into information and knowledge. The current portal-download model which requires the user to know what data exists, where it is stored, in what format and with what processing, limits the uptake and use of ocean data. Using examples from a range of disciplines, a web services model of data and information flows is presented. A framework is described, including the systems, processes and human components, which delivers a radical rethink about the delivery of knowledge from ocean data. A series of statements describe parts of the future vision along with recommendations about how this may be achieved. The paper recommends the development of virtual test-beds for end-to-end development of new data workflows and knowledge pathways. This supports the continued development, rationalization and uptake of standards, creates a platform around which a community of practice can be developed, promotes cross discipline engagement from ocean science through to ocean policy, allows for the commercial sector, including the informatics sector, to partner in delivering outcomes and provides a focus to leverage long term sustained funding. The next 10 years will be “make or break” for many ocean systems. The decadal challenge is to develo, Peer Reviewed, Postprint (published version)

Published
2019

24. Public–Private Partnerships to Advance Regional Ocean-Observing Capabilities: A Saildrone and NOAA-PMEL Case Study and Future Considerations to Expand to Global Scale Observing

Author

Meinig, Christian, primary, Burger, Eugene F., additional, Cohen, Nora, additional, Cokelet, Edward D., additional, Cronin, Meghan F., additional, Cross, Jessica N., additional, de Halleux, Sebastien, additional, Jenkins, Richard, additional, Jessup, Andrew T., additional, Mordy, Calvin W., additional, Lawrence-Slavas, Noah, additional, Sutton, Adrienne J., additional, Zhang, Dongxiao, additional, and Zhang, Chidong, additional

Published
2019
Full Text
View/download PDF

25. Ocean FAIR Data Services

Author

Tanhua, Toste, primary, Pouliquen, Sylvie, additional, Hausman, Jessica, additional, O’Brien, Kevin, additional, Bricher, Pip, additional, de Bruin, Taco, additional, Buck, Justin J. H., additional, Burger, Eugene F., additional, Carval, Thierry, additional, Casey, Kenneth S., additional, Diggs, Steve, additional, Giorgetti, Alessandra, additional, Glaves, Helen, additional, Harscoat, Valerie, additional, Kinkade, Danie, additional, Muelbert, Jose H., additional, Novellino, Antonio, additional, Pfeil, Benjamin, additional, Pulsifer, Peter L., additional, Van de Putte, Anton, additional, Robinson, Erin, additional, Schaap, Dick, additional, Smirnov, Alexander, additional, Smith, Neville, additional, Snowden, Derrick, additional, Spears, Tobias, additional, Stall, Shelley, additional, Tacoma, Marten, additional, Thijsse, Peter, additional, Tronstad, Stein, additional, Vandenberghe, Thomas, additional, Wengren, Micah, additional, Wyborn, Lesley, additional, and Zhao, Zhiming, additional

Published
2019
Full Text
View/download PDF

26. The Joint IOC (of UNESCO) and WMO Collaborative Effort for Met-Ocean Services

Author

Pinardi, Nadia, primary, Stander, Johan, additional, Legler, David M., additional, O'Brien, Kevin, additional, Boyer, Tim, additional, Cuff, Tom, additional, Bahurel, Pierre, additional, Belbeoch, Mathieu, additional, Belov, Sergey, additional, Brunner, Shelby, additional, Burger, Eugene, additional, Carval, Thierry, additional, Chang-Seng, Denis, additional, Charpentier, Etienne, additional, Ciliberti, S., additional, Coppini, Giovanni, additional, Fischer, Albert, additional, Freeman, Eric, additional, Gallage, Champika, additional, Garcia, Hernan, additional, Gates, Lydia, additional, Gong, Zhiqiang, additional, Hermes, Juliet, additional, Heslop, Emma, additional, Grimes, Sarah, additional, Hill, Katherine, additional, Horsburgh, Kevin, additional, Iona, Athanasia, additional, Mancini, Sebastien, additional, Moodie, Neal, additional, Ouellet, Mathieu, additional, Pissierssens, Peter, additional, Poli, Paul, additional, Proctor, Roger, additional, Smith, Neville, additional, Sun, Charles, additional, Swail, Val, additional, Turton, Jonathan, additional, and Xinyang, Yue, additional

Published
2019
Full Text
View/download PDF

27. A Global Ocean Observing System (GOOS), Delivered Through Enhanced Collaboration Across Regions, Communities, and New Technologies

Author

Moltmann, Tim, primary, Turton, Jon, additional, Zhang, Huai-Min, additional, Nolan, Glenn, additional, Gouldman, Carl, additional, Griesbauer, Laura, additional, Willis, Zdenka, additional, Piniella, Ángel Muñiz, additional, Barrell, Sue, additional, Andersson, Erik, additional, Gallage, Champika, additional, Charpentier, Etienne, additional, Belbeoch, Mathieu, additional, Poli, Paul, additional, Rea, Anthony, additional, Burger, Eugene F., additional, Legler, David M., additional, Lumpkin, Rick, additional, Meinig, Christian, additional, O’Brien, Kevin, additional, Saha, Korak, additional, Sutton, Adrienne, additional, Zhang, Dongxiao, additional, and Zhang, Yongsheng, additional

Published
2019
Full Text
View/download PDF

28. Evolving and Sustaining Ocean Best Practices and Standards for the Next Decade

Author

Pearlman, Jay, primary, Bushnell, Mark, additional, Coppola, Laurent, additional, Karstensen, Johannes, additional, Buttigieg, Pier Luigi, additional, Pearlman, Francoise, additional, Simpson, Pauline, additional, Barbier, Michele, additional, Muller-Karger, Frank E., additional, Munoz-Mas, Cristian, additional, Pissierssens, Peter, additional, Chandler, Cyndy, additional, Hermes, Juliet, additional, Heslop, Emma, additional, Jenkyns, Reyna, additional, Achterberg, Eric P., additional, Bensi, Manuel, additional, Bittig, Henry C., additional, Blandin, Jerome, additional, Bosch, Julie, additional, Bourles, Bernard, additional, Bozzano, Roberto, additional, Buck, Justin J. H., additional, Burger, Eugene F., additional, Cano, Daniel, additional, Cardin, Vanessa, additional, Llorens, Miguel Charcos, additional, Cianca, Andrés, additional, Chen, Hua, additional, Cusack, Caroline, additional, Delory, Eric, additional, Garello, Rene, additional, Giovanetti, Gabriele, additional, Harscoat, Valerie, additional, Hartman, Susan, additional, Heitsenrether, Robert, additional, Jirka, Simon, additional, Lara-Lopez, Ana, additional, Lantéri, Nadine, additional, Leadbetter, Adam, additional, Manzella, Giuseppe, additional, Maso, Joan, additional, McCurdy, Andrea, additional, Moussat, Eric, additional, Ntoumas, Manolis, additional, Pensieri, Sara, additional, Petihakis, George, additional, Pinardi, Nadia, additional, Pouliquen, Sylvie, additional, Przeslawski, Rachel, additional, Roden, Nicholas P., additional, Silke, Joe, additional, Tamburri, Mario N., additional, Tang, Hairong, additional, Tanhua, Toste, additional, Telszewski, Maciej, additional, Testor, Pierre, additional, Thomas, Julie, additional, Waldmann, Christoph, additional, and Whoriskey, Fred, additional

Published
2019
Full Text
View/download PDF

29. From the Oceans to the Cloud: Opportunities and Challenges for Data, Models, Computation and Workflows

Author

Vance, Tiffany C., primary, Wengren, Micah, additional, Burger, Eugene, additional, Hernandez, Debra, additional, Kearns, Timothy, additional, Medina-Lopez, Encarni, additional, Merati, Nazila, additional, O’Brien, Kevin, additional, O’Neil, Jon, additional, Potemra, James T., additional, Signell, Richard P., additional, and Wilcox, Kyle, additional

Published
2019
Full Text
View/download PDF

30. Ocean Data Product Integration Through Innovation-The Next Level of Data Interoperability

Author

Buck, Justin J. H., primary, Bainbridge, Scott J., additional, Burger, Eugene F., additional, Kraberg, Alexandra C., additional, Casari, Matthew, additional, Casey, Kenneth S., additional, Darroch, Louise, additional, Rio, Joaquin Del, additional, Metfies, Katja, additional, Delory, Eric, additional, Fischer, Philipp F., additional, Gardner, Thomas, additional, Heffernan, Ryan, additional, Jirka, Simon, additional, Kokkinaki, Alexandra, additional, Loebl, Martina, additional, Buttigieg, Pier Luigi, additional, Pearlman, Jay S., additional, and Schewe, Ingo, additional

Published
2019
Full Text
View/download PDF

33. A multi-decade record of high-quality fCO2 data in version 3 of the Surface Ocean CO2 Atlas (SOCAT)

Author

Bakker, Dorothee C. E., Pfeil, Benjamin, Landa, Camilla S., Metzl, Nicolas, O'Brien, Kevin M., Olsen, Are, Smith, Karl M., Cosca, Catherine E., Harasawa, Sumiko, Jones, Stephen D., Nakaoka, Shin-Ichiro, Nojiri, Yukihiro, Schuster, Ute, Steinhoff, Tobias, Sweeney, Colm, Takahashi, Taro, Tilbrook, Bronte, Wada, Chisato, Wanninkhof, Rik H., Alin, Simone R., Balestrini, Carlos F., Barbero, Leticia, Bates, Nicholas R., Bianchi, Alejandro A., Bonou, Frédéric, Boutin, Jacqueline, Bozec, Yann, Burger, Eugene F., Cai, Wei-Jun, Castle, Robert D., Chen, Liqi, Chierici, Melissa, Currie, Kim, Evans, Wiley, Featherstone, Charles, Feely, Richard A., Fransson, Agneta, Goyet, Catherine, Greenwood, Naomi, Gregor, Luke, Hankin, Steven, Hardman-Mountford, Nick J., Harlay, Jérôme, Hauck, Judith, Hoppema, Mario, Humphreys, Matthew P., Hunt, Christopher W., Huss, Betty, Ibánhez, J. Severino P., Johannessen, Truls, Keeling, Ralph F., Kitidis, Vassilis, Körtzinger, Arne, Kozyr, Alex, Krasakopoulou, Evangelia, Kuwata, Akira, Landschützer, Peter, Lauvset, Siv K., Lefèvre, Nathalie, Lo Monaco, Claire, Manke, Ansley B., Mathis, Jeremy T., Merlivat, Liliane, Millero, Frank J., Monteiro, Pedro M. S., Munro, David R., Murata, Akihiko, Newberger, Timothy, Omar, Abdirahman M., Ono, Tsuneo, Paterson, Kristina, Pearce, David, Pierrot, Denis, Robbins, Lisa L., Saito, Shu, Salisbury, Joseph E., Schlitzer, Reiner, Schneider, Bernd, Schweitzer, Roland, Sieger, Rainer, Skjelvan, Ingunn, Sullivan, Kevin F., Sutherland, Stewart C., Sutton, Adrienne J., Tadokoro, Kazuaki, Telszewski, Maciej, Tuma, Matthias, van Heuven, Steven M. A. C., Vandemark, Doug, Ward, Brian, Watson, Andrew J., Xu, Suqing, Centre for Ocean and Atmospheric, school of Environmental Sciences, University of East Anglia [Norwich] (UEA), University of Bergen (UiB), Bjerknes Centre for Climate Research (BCCR), Department of Biological Sciences [Bergen] (BIO / UiB), University of Bergen (UiB)-University of Bergen (UiB), Équipe CO2 (E-CO2), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), NOAA Pacific Marine Environmental Laboratory [Seattle] (PMEL), National Oceanic and Atmospheric Administration (NOAA), Joint Institute for the Study of the Atmosphere and Ocean (JISAO), University of Washington [Seattle], National Institute for Environmental Studies (NIES), University of Exeter, Helmholtz Centre for Ocean Research [Kiel] (GEOMAR), NOAA Earth System Research Laboratory (ESRL), Lamont-Doherty Earth Observatory (LDEO), Columbia University [New York], CSIRO Marine and Atmospheric Research (CSIRO-MAR), Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML), Departamento de Oceanografia, Servicio de Hidrografía Naval, Cooperative Institute for Marine and Atmospheric Studies, Rosenstiel School for Marine and Atmospheric Science (CIMAS), Rosenstiel School of Marine and Atmospheric Science (RSMAS), University of Miami [Coral Gables]-University of Miami [Coral Gables], Ocean and Earth Science [Southampton], University of Southampton-National Oceanography Centre (NOC), Departmento de Engenharia de Produção, Centro de Estudos e Ensaios em Risco e Modelagem Ambiental, Universidade Federal de Pernambuco [Recife] (UFPE), Interactions et Processus au sein de la couche de Surface Océanique (IPSO), Adaptation et diversité en milieu marin (AD2M), Station biologique de Roscoff [Roscoff] (SBR), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), School of Marine Science and Policy, University of Delaware [Newark], The Third Institute of Oceanography SOA, Department of Marine Sciences, University of Gothenburg (GU), National Institute of Water and Atmospheric Research [Wellington] (NIWA), Norwegian Polar Institute, Institut de Modélisation et d'Analyses en géo-environnement et santé - Espace Développement (IMAGES-Espace DEV), UMR 228 Espace-Dev, Espace pour le développement, Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de Montpellier (UM)-Université de Guyane (UG)-Université des Antilles (UA)-Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de Montpellier (UM)-Université de Guyane (UG)-Université des Antilles (UA), Centre for Environment, Fisheries and Aquaculture Science [Lowestoft] (CEFAS), Ocean Systems and Climate Group, CSIR, CSIRO Oceans and Atmosphere, CISRO Oceans and Atmosphere, University of Hawai‘i [Mānoa] (UHM), Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), Ocean Process Analysis Laboratory, University of New Hampshire (UNH), IRD Lago Sul, Brazil, University of California [San Diego] (UC San Diego), University of California (UC), Plymouth Marine Laboratory (PML), Oak Ridge National Laboratory [Oak Ridge] (ORNL), UT-Battelle, LLC, University of the Aegean, Tohoku National Fisheries Research Institute, National Fisheries Research Institute, Max-Planck-Institut für Meteorologie (MPI-M), Max-Planck-Gesellschaft, Geophysical Institute [Bergen] (GFI / BiU), Austral, Boréal et Carbone (ABC), Department of Ocean Sciences, University of Miami [Coral Gables], Department of Atmospheric and Oceanic Sciences [Boulder] (ATOC), University of Colorado [Boulder], Institute of Arctic Alpine Research [University of Colorado Boulder] (INSTAAR), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado [Boulder]-National Oceanic and Atmospheric Administration (NOAA), National Research Institute for Fisheries Science,Japan Fisheries Research and Education Agency, Université Paris Diderot - Paris 7 (UPD7), United States Geological Survey [Reston] (USGS), Japan Meteorological Agency (JMA), Ocean Process Analysis Laboratory (OPAL), Leibniz Institute for Baltic Sea Research Warnemünde, Weathertop consulting LLC, International Ocean Carbon Coordination Project, WCRP Joint planning staff, World Meteorological Organization (WCRP), Royal Netherlands Institute for Sea Research (NIOZ), AirSea Laboratory, School of Physics and Ryan Institute, National University of Ireland [Galway] (NUI Galway), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), University of Leeds, College of Life and Environmental Sciences [Exeter], Met Eireann, CSIRO Wealth from Oceans National Research Flagship and Antarctic Climate and Ecosystems CRC, Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), Bermuda Institute of Ocean Sciences (BIOS), Centre de résonance magnétique des systèmes biologiques (CRMSB), Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB), CHImie Marine (CHIM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Station biologique de Roscoff [Roscoff] (SBR), Department of Chemistry, Computer Science Department (UBC-Computer Science), University of British Columbia (UBC), Laboratoire de Biophysique et Dynamique des Systèmes Intégrés (BDSI), Université de Perpignan Via Domitia (UPVD), Oceans and Atmosphere Flagship (CSIRO), CSIRO Oceans and Atmosphere Flagship, Department of Oceanography (DOCEAN), Federal University of Pernambuco [Recife], University of California, Plymouth Marine Laboratory, Christian-Albrechts-Universität zu Kiel (CAU), Department of Civil and Environmental Engineering [Berkeley] (CEE), University of California [Berkeley], University of California-University of California, University of Wisconsin Whitewater, National Institute of Advanced Industrial Science and Technology (AIST), Department of Computer Science [Royal Holloway], Royal Holloway [University of London] (RHUL), Cooperative Institute for Marine and Atmospheric Studies (CIMAS), Max Planck Institute for Chemical Ecology, School of Physics [NUI Galway], School of Environmental Sciences [Norwich], College of Life and Environmental Sciences, University of Exeter, Université de Guyane (UG)-Université des Antilles (UA)-Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de Montpellier (UM)-Université de Guyane (UG)-Université des Antilles (UA)-Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de Montpellier (UM), Institute of Arctic and Alpine Research (INSTAAR), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), University of California [Berkeley] (UC Berkeley), and University of California (UC)-University of California (UC)

Subjects
lcsh:GE1-350, lcsh:Geology, [SDU]Sciences of the Universe [physics], lcsh:QE1-996.5, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph], lcsh:Environmental sciences, ComputingMilieux_MISCELLANEOUS, [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography
Abstract

The Surface Ocean CO2 Atlas (SOCAT) is a synthesis of quality-controlled fCO2 (fugacity of carbon dioxide) values for the global surface oceans and coastal seas with regular updates. Version 3 of SOCAT has 14.7 million fCO2 values from 3646 data sets covering the years 1957 to 2014. This latest version has an additional 4.6 million fCO2 values relative to version 2 and extends the record from 2011 to 2014. Version 3 also significantly increases the data availability for 2005 to 2013. SOCAT has an average of approximately 1.2 million surface water fCO2 values per year for the years 2006 to 2012. Quality and documentation of the data has improved. A new feature is the data set quality control (QC) flag of E for data from alternative sensors and platforms. The accuracy of surface water fCO2 has been defined for all data set QC flags. Automated range checking has been carried out for all data sets during their upload into SOCAT. The upgrade of the interactive Data Set Viewer (previously known as the Cruise Data Viewer) allows better interrogation of the SOCAT data collection and rapid creation of high-quality figures for scientific presentations. Automated data upload has been launched for version 4 and will enable more frequent SOCAT releases in the future. High-profile scientific applications of SOCAT include quantification of the ocean sink for atmospheric carbon dioxide and its long-term variation, detection of ocean acidification, as well as evaluation of coupled-climate and ocean-only biogeochemical models. Users of SOCAT data products are urged to acknowledge the contribution of data providers, as stated in the SOCAT Fair Data Use Statement. This ESSD (Earth System Science Data) "living data" publication documents the methods and data sets used for the assembly of this new version of the SOCAT data collection and compares these with those used for earlier versions of the data collection (Pfeil et al., 2013; Sabine et al., 2013; Bakker et al., 2014). Individual data set files, included in the synthesis product, can be downloaded here: doi:10.1594/PANGAEA.849770. The gridded products are available here: doi:10.3334/CDIAC/OTG.SOCAT_V3_GRID.

Published
2016
Full Text
View/download PDF

34. A multi-decade record of high-quality <i>f</i>CO<sub>2</sub> data in version 3 of the Surface Ocean CO<sub>2</sub> Atlas (SOCAT)

Author

Bakker, Dorothee C. E., primary, Pfeil, Benjamin, additional, Landa, Camilla S., additional, Metzl, Nicolas, additional, O'Brien, Kevin M., additional, Olsen, Are, additional, Smith, Karl, additional, Cosca, Cathy, additional, Harasawa, Sumiko, additional, Jones, Stephen D., additional, Nakaoka, Shin-ichiro, additional, Nojiri, Yukihiro, additional, Schuster, Ute, additional, Steinhoff, Tobias, additional, Sweeney, Colm, additional, Takahashi, Taro, additional, Tilbrook, Bronte, additional, Wada, Chisato, additional, Wanninkhof, Rik, additional, Alin, Simone R., additional, Balestrini, Carlos F., additional, Barbero, Leticia, additional, Bates, Nicholas R., additional, Bianchi, Alejandro A., additional, Bonou, Frédéric, additional, Boutin, Jacqueline, additional, Bozec, Yann, additional, Burger, Eugene F., additional, Cai, Wei-Jun, additional, Castle, Robert D., additional, Chen, Liqi, additional, Chierici, Melissa, additional, Currie, Kim, additional, Evans, Wiley, additional, Featherstone, Charles, additional, Feely, Richard A., additional, Fransson, Agneta, additional, Goyet, Catherine, additional, Greenwood, Naomi, additional, Gregor, Luke, additional, Hankin, Steven, additional, Hardman-Mountford, Nick J., additional, Harlay, Jérôme, additional, Hauck, Judith, additional, Hoppema, Mario, additional, Humphreys, Matthew P., additional, Hunt, Christopher W., additional, Huss, Betty, additional, Ibánhez, J. Severino P., additional, Johannessen, Truls, additional, Keeling, Ralph, additional, Kitidis, Vassilis, additional, Körtzinger, Arne, additional, Kozyr, Alex, additional, Krasakopoulou, Evangelia, additional, Kuwata, Akira, additional, Landschützer, Peter, additional, Lauvset, Siv K., additional, Lefèvre, Nathalie, additional, Lo Monaco, Claire, additional, Manke, Ansley, additional, Mathis, Jeremy T., additional, Merlivat, Liliane, additional, Millero, Frank J., additional, Monteiro, Pedro M. S., additional, Munro, David R., additional, Murata, Akihiko, additional, Newberger, Timothy, additional, Omar, Abdirahman M., additional, Ono, Tsuneo, additional, Paterson, Kristina, additional, Pearce, David, additional, Pierrot, Denis, additional, Robbins, Lisa L., additional, Saito, Shu, additional, Salisbury, Joe, additional, Schlitzer, Reiner, additional, Schneider, Bernd, additional, Schweitzer, Roland, additional, Sieger, Rainer, additional, Skjelvan, Ingunn, additional, Sullivan, Kevin F., additional, Sutherland, Stewart C., additional, Sutton, Adrienne J., additional, Tadokoro, Kazuaki, additional, Telszewski, Maciej, additional, Tuma, Matthias, additional, van Heuven, Steven M. A. C., additional, Vandemark, Doug, additional, Ward, Brian, additional, Watson, Andrew J., additional, and Xu, Suqing, additional

Published
2016
Full Text
View/download PDF

35. A multi-decade record of high-quality fCO<sub>2</sub> data in version 3 of the Surface Ocean CO<sub>2</sub> Atlas (SOCAT)

Author

Bakker, Dorothee C. E., primary, Pfeil, Benjamin, additional, Landa, Camilla S., additional, Metzl, Nicolas, additional, O'Brien, Kevin M., additional, Olsen, Are, additional, Smith, Karl, additional, Cosca, Cathy, additional, Harasawa, Sumiko, additional, Jones, Stephen D., additional, Nakaoka, Shin-ichiro, additional, Nojiri, Yukihiro, additional, Schuster, Ute, additional, Steinhoff, Tobias, additional, Sweeney, Colm, additional, Takahashi, Taro, additional, Tilbrook, Bronte, additional, Wada, Chisato, additional, Wanninkhof, Rik, additional, Alin, Simone R., additional, Balestrini, Carlos F., additional, Barbero, Leticia, additional, Bates, Nicholas R., additional, Bianchi, Alejandro A., additional, Bonou, Frédéric, additional, Boutin, Jacqueline, additional, Bozec, Yann, additional, Burger, Eugene F., additional, Cai, Wei-Jun, additional, Castle, Robert D., additional, Chen, Liqi, additional, Chierici, Melissa, additional, Currie, Kim, additional, Evans, Wiley, additional, Featherstone, Charles, additional, Feely, Richard A., additional, Fransson, Agneta, additional, Goyet, Catherine, additional, Greenwood, Naomi, additional, Gregor, Luke, additional, Hankin, Steven, additional, Hardman-Mountford, Nick J., additional, Harlay, Jérôme, additional, Hauck, Judith, additional, Hoppema, Mario, additional, Humphreys, Matthew P., additional, Hunt, Christopher W., additional, Huss, Betty, additional, Ibánhez, J. Severino P., additional, Johannessen, Truls, additional, Keeling, Ralph, additional, Kitidis, Vassilis, additional, Körtzinger, Arne, additional, Kozyr, Alex, additional, Krasakopoulou, Evangelia, additional, Kuwata, Akira, additional, Landschützer, Peter, additional, Lauvset, Siv K., additional, Lefèvre, Nathalie, additional, Lo Monaco, Claire, additional, Manke, Ansley, additional, Mathis, Jeremy T., additional, Merlivat, Liliane, additional, Millero, Frank J., additional, Monteiro, Pedro M. S., additional, Munro, David R., additional, Murata, Akihiko, additional, Newberger, Timothy, additional, Omar, Abdirahman M., additional, Ono, Tsuneo, additional, Paterson, Kristina, additional, Pearce, David, additional, Pierrot, Denis, additional, Robbins, Lisa L., additional, Saito, Shu, additional, Salisbury, Joe, additional, Schlitzer, Reiner, additional, Schneider, Bernd, additional, Schweitzer, Roland, additional, Sieger, Rainer, additional, Skjelvan, Ingunn, additional, Sullivan, Kevin F., additional, Sutherland, Stewart C., additional, Sutton, Adrienne J., additional, Tadokoro, Kazuaki, additional, Telszewski, Maciej, additional, Tuma, Matthias, additional, Van Heuven, Steven M. A. C., additional, Vandemark, Doug, additional, Ward, Brian, additional, Watson, Andrew J., additional, and Xu, Suqing, additional

Published
2016
Full Text
View/download PDF

37. Asset managers: why the demand?

Author

Burger, Eugene J.

Subjects
Real estate management -- Economic aspects, Business, Real estate industry
Published
1981

40. Recycling your lender

Author

Burger, Eugene J.

Subjects
Bankruptcy reorganizations -- Management -- Methods, Real estate management -- Methods, External debt relief -- Management -- Methods, Business, Real estate industry, Company business management, Company bankruptcy, Management, Methods
Abstract

In the current real estate market, it often takes more than good property management to salvage a troubled real estate asset. Numerous inhibitors to an owner or manager's ability to [...]

Published
1993

41. JEFF MCBRIDE.

Author

Burger, Eugene

Abstract

An interview with magician Jeff McBride is presented. He suggests that his inclination with the art of magic is influenced with the magical visual impact, trickster appeal, and the analytical mind approach. He emphasizes several elements of showmanship to stage a good magical show which include building audience rapport through eye contact, mastery and quality of the voice, and movement disciplines. Moreover, he discusses the impact of internet magic with the showmanship experience.

Published
2011

42. DAVID BERGLAS.

Author

Burger, Eugene

Abstract

An interview with magician David Berglass is presented. Berglass shares that his interest in magic began when he attended a meeting held by the Bradford Magical Society, where he met Ken Brook. He mentions that showmanship needs establishing oneself with the audience, wherein a magician should convince the audience that he possesses a unique and unknown ability. Moreover, Berglass considers confidence and professionalism as the most important elements in showmanship.

Published
2011

43. TOBIAS BECKWITH.

Author

Burger, Eugene

Abstract

An interview with magician Tobias Beckwith is presented. When asked if he was interested in magic before he knew Jeff McBride, he refers that he bought "The First Book of Magic" when he was six years old. He believes that showmanship is important when connecting to the audience and it is the ability to express an exciting and interesting truth. He comments that eye contact and rapport are elements that relates a magician to be a good performer. He defines charisma as a funny word.

Published
2010

44. MAC KING.

Author

Burger, Eugene

Abstract

An interview with magician Mac King is presented. When asked about what attracted him most with magic, he says that he wants to have deeper secret power than his friends. He mentions that the biggest audience he performed for was when he toured with Brett Daniels, Melinda, Gregg Frewin, and Max Maven for "The World's Greatest Magic" television shows. King believes that each magician has different required hours to achieve a particular level of competence and innate talent is part of it.

Published
2010

45. FRANZ HARARY MEGAMAGIC.

Author

Burger, Eugene

Abstract

The author highlights some of the tricks performed by illusionist Franz Harary during his magic show at the Trump Marina in Atlantic City, New Jersey on August 2007. The show started with words about magic scrolling down the big screen. Harary suddenly appeared before the audience along with the surprising appearance of six dancers. He introduced two women who appeared to be sliced in half and switched torsos. He also turned toy cars into a 2007 Mustang.

Published
2008

46. THE SHOWMANSHIP INTERVIEWS.

Author

Burger, Eugene

Abstract

This article presents an interview with Michael Ellis, the owner and producer of the Bucks County Playhouse in New Hope, Pennsylvania. Ellis describes the earliest magical experience that he can remember. He discusses the elements that make up showmanship. When asked if eye contact is a necesarry element of showmanship, Ellis discusses the importance of eye contact in any shows.

Published
2007

47. SUPERNATURAL CHICAGO.

Author

Burger, Eugene

Abstract

Presents the magic show "Supernatural Chicago," presented by Neil Tobin in Chicago. Presentation of magic and mentalism effects in a minimalist setting; Programs and activities; Magic tricks presented.

Published
2005

48. Ocean FAIR Data Services

Author

Tanhua, Toste, Pouliquen, Sylvie, Hausman, Jessica, O’Brien, Kevin, Bricher, Pip, de Bruin, Taco, Buck, Justin J. H., Burger, Eugene F., Carval, Thierry, Casey, Kenneth S., Diggs, Steve, Giorgetti, Alessandra, Glaves, Helen, Harscoat, Valerie, Kinkade, Danie, Muelbert, Jose H., Novellino, Antonio, Pfeil, Benjamin, Pulsifer, Peter L., Van de Putte, Anton, Robinson, Erin, Schaap, Dick, Smirnov, Alexander, Smith, Neville, Snowden, Derrick, Spears, Tobias, Stall, Shelley, Tacoma, Marten, Thijsse, Peter, Tronstad, Stein, Vandenberghe, Thomas, Wengren, Micah, Wyborn, Lesley, and Zhao, Zhiming

Subjects
standardization, Global and Planetary Change, ocean observing, lcsh:QH1-199.5, Ocean Engineering, interoperability, Aquatic Science, lcsh:General. Including nature conservation, geographical distribution, Oceanography, ocean, Data management, lcsh:Q, lcsh:Science, Water Science and Technology, FAIR, data services
Abstract

Well-founded data management systems are of vital importance for ocean observing systems as they ensure that essential data are not only collected but also retained and made accessible for analysis and application by current and future users. Effective data management requires collaboration across activities including observations, metadata and data assembly, quality assurance and control (QA/QC), and data publication that enables local and interoperable discovery and access and secures archiving that guarantees long-term preservation. To achieve this, data should be findable, accessible, interoperable, and reusable (FAIR). Here, we outline how these principles apply to ocean data and illustrate them with a few examples. In recent decades, ocean data managers, in close collaboration with international organizations, have played an active role in the improvement of environmental data standardization, accessibility, and interoperability through different projects, enhancing access to observation data at all stages of the data life cycle and fostering the development of integrated services targeted to research, regulatory, and operational users. As ocean observing systems evolve and an increasing number of autonomous platforms and sensors are deployed, the volume and variety of data increase dramatically. For instance, there are more than 70 data catalogs that contain metadata records for the polar oceans, a situation that makes comprehensive data discovery beyond the capacity of most researchers. To better serve research, operational, and commercial users, more efficient turnaround of quality data in known formats and made available through Web services is necessary. In particular, automation of data workflows will be critical to reduce friction throughout the data value chain. Adhering to the FAIR principles with free, timely, and unrestricted access to ocean observation data is beneficial for the originators, has obvious benefits for users, and is an essential foundation for the development of new services made possible with big data technologies. publishedVersion

Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results