8 results on '"Hanstein, Craig"'
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2. Best practices for Core Argo floats - part 1: getting started and data considerations
- Author
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Morris, Tamaryn, Scanderbeg, Megan, West-mack, Deborah, Gourcuff, Claire, Poffa, Noe, Bhaskar, T. V. S. Udaya, Hanstein, Craig, Diggs, Steve, Talley, Lynne, Turpin, Victor, Liu, Zenghong, Owens, Breck, Morris, Tamaryn, Scanderbeg, Megan, West-mack, Deborah, Gourcuff, Claire, Poffa, Noe, Bhaskar, T. V. S. Udaya, Hanstein, Craig, Diggs, Steve, Talley, Lynne, Turpin, Victor, Liu, Zenghong, and Owens, Breck
- Abstract
Argo floats have been deployed in the global ocean for over 20 years. The Core mission of the Argo program (Core Argo) has contributed well over 2 million profiles of salinity and temperature of the upper 2000 m of the water column for a variety of operational and scientific applications. Core Argo floats have evolved such that the program currently consists of more than eight types of Core Argo float, some of which belong to second or third generation developments, three unique satellite communication systems (Argos, Iridium and Beidou) and two types of Conductivity, Temperature and Depth (CTD) sensor systems (Seabird and RBR). This, together with a well-established data management system, delayed mode data quality control, FAIR and open data access, make the program a very successful ocean observing network. Here we present Part 1 of the Best Practices for Core Argo floats in terms of how users can get started in the program, recommended metadata parameters and the data management system. The objective is to encourage new and developing scientists, research teams and institutions to contribute to the OneArgo Program, specifically to the Core Argo mission. Only by leveraging sustained contributions from current Core Argo float groups with new and emerging Argo teams and users who are eager to get involved and are actively encouraged to do so, can the OneArgo initiative be realized. This paper presents a list of best practices to get started in the program, set up the recommended metadata, implement the data management system with the aim to encourage new scientists, countries and research teams to contribute to the OneArgo Program.
- Published
- 2024
- Full Text
- View/download PDF
3. Best practices for Core Argo floats - Part 2: physical handling, deployment and metadata considerations
- Author
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Morris, Tamaryn, Scanderbeg, Megan, West-mack, Deborah, Gourcuff, Claire, Poffa, Noe, Udaya Bhaskar, Tata V. S., Hanstein, Craig, Diggs, Steve, Talley, Lynne, Turpin, Victor, Liu, Zenghong, Owens, Breck, Morris, Tamaryn, Scanderbeg, Megan, West-mack, Deborah, Gourcuff, Claire, Poffa, Noe, Udaya Bhaskar, Tata V. S., Hanstein, Craig, Diggs, Steve, Talley, Lynne, Turpin, Victor, Liu, Zenghong, and Owens, Breck
- Abstract
Following on from Part 1: Best Practices for Core Argo floats - Getting started and data considerations, we present Part 2: Best Practices for Core Argo floats in terms of physical handling and deployments and recommended metadata parameters. The objective is to encourage new and developing scientists, research teams and institutions to contribute to the OneArgo Program through increased deployments regionally, specifically to the Core Argo mission. Only by leveraging sustained contributions of current Core Argo float groups with new and emerging Argo teams and users, can the OneArgo initiative be realized. This paper makes involvement with the Core Argo mission smoother by providing a framework endorsed by a wide community for these observations.
- Published
- 2024
- Full Text
- View/download PDF
4. Best practices for Core Argo floats - part 1: getting started and data considerations
- Author
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Morris, Tamaryn, primary, Scanderbeg, Megan, additional, West-Mack, Deborah, additional, Gourcuff, Claire, additional, Poffa, Noé, additional, Bhaskar, T. V. S. Udaya, additional, Hanstein, Craig, additional, Diggs, Steve, additional, Talley, Lynne, additional, Turpin, Victor, additional, Liu, Zenghong, additional, and Owens, Breck, additional
- Published
- 2024
- Full Text
- View/download PDF
5. Best practices for Core Argo floats: Getting started, physical handling, metadata, and data considerations. Version 1. [GOOS ENDORSED PRACTICE]
- Author
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Morris, Tamaryn, Scanderbeg, Megan, West-mack, Deborah, Gourcuff, Claire, Poffa, Noe, Udaya Bhaskar, Tvs, Hanstein, Craig, Diggs, Steve, Talley, Lynne, Turpin, Victor, Liu, Zenghong, Owens, Breck, Morris, Tamaryn, Scanderbeg, Megan, West-mack, Deborah, Gourcuff, Claire, Poffa, Noe, Udaya Bhaskar, Tvs, Hanstein, Craig, Diggs, Steve, Talley, Lynne, Turpin, Victor, Liu, Zenghong, and Owens, Breck
- Abstract
Argo floats have been deployed in the global ocean for over 20 years. The Core mission of the Argo program (Core Argo) has contributed well over 2 million profiles of salinity and temperature of the upper 2000 m for a variety of operational and scientific applications. Core Argo floats have evolved such that the program currently consists of more than eight types of Core Argo float, some of which belong to second or third generation developments, three unique satellite communication systems and two types of Conductivity, Temperature and Depth (CTD) sensor systems. Coupled with a well-established data management system, with delayed mode quality control, makes for a very successful ocean observing network. Here we present the Best Practices for Core Argo floats in terms of float types, physical handling and deployments, recommended metadata parameters and the data management system. The objective is to encourage new and developing scientists, research teams and institutions to contribute to the OneArgo Program, specifically to the Core Argo mission. Only by leveraging sustained contributions of current Core Argo float groups with new and emerging Argo teams and users, can the OneArgo initiative be realised. This paper makes involvement with the Core Argo mission smoother by providing a framework endorsed by a wide community for these observations.
- Published
- 2023
- Full Text
- View/download PDF
6. XBT operational best practices for quality assurance
- Author
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Parks, Justine, primary, Bringas, Francis, additional, Cowley, Rebecca, additional, Hanstein, Craig, additional, Krummel, Lisa, additional, Sprintall, Janet, additional, Cheng, Lijing, additional, Cirano, Mauro, additional, Cruz, Samantha, additional, Goes, Marlos, additional, Kizu, Shoichi, additional, and Reseghetti, Franco, additional
- Published
- 2022
- Full Text
- View/download PDF
7. XBT Operational Best Practices for Quality Assurance, Version 1.0. [GOOS ENDORSED PRACTICE]
- Author
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Parks, Justine, Bringas, Francis, Hanstein, Craig, Krummel, Lisa, Cowley, Rebecca, Sprintall, Janet, Cheng, Lijing, Cirano, Mauro, Cruz, Samantha, Goes, Marlos, Kizu, Shoichi, and Reseghetti, Franco
- Subjects
Water column temperature and salinity ,bathythermographs ,Temperature measurement ,Data quality management ,XBT ,Data acquisition ,Data quality control - Abstract
Since the 1970s, EXpendable BathyThermographs (XBTs) have provided the simplest and most cost‐efficient solution for rapid sampling of temperature vs. depth profiles of the upper part of the ocean along ship transects. This manual, compiled by the Ship of Opportunity Program Implementation Panel (SOOPIP) a subgroup of the Global Ocean Observing System (GOOS) Observations Coordination Group (OCG) Ship Observations Team (SOT) together with members of the XBT Science Team, aims to improve the quality assurance of XBT data by establishing best practices for field measurements and promoting their adoption by the global operational and scientific community. The measurement system components include commercially available expendable temperature probes, the launcher, the data acquisition (DAQ) hardware, a Global Navigation Satellite System (GNSS) receiver, an optional satellite transmitter, and a computer with software controls. The measurement platform can be any sea‐going vessel with available space for the equipment and operator, and capable of oceanic voyages across the regions of interest. Adoption of a standard methodology in the installation and deployment of the measurement system will lead to data quality improvements with subsequent impact on the computation and understanding of changes in the near surface ocean properties (e.g., heat content), ocean circulation dynamics, and their relationship to climate variability. Unpublished Current 14.a Sea surface temperature Subsurface temperature Sea surface salinity Subsurface salinity Mature International Expendable bathythermograph, Lockheed Martin Sippican XBT, Tsurumi-Seiki Corporation Method
- Published
- 2021
8. A BGC-Argo Guide: Planning, Deployment, Data Handling and Usage
- Author
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Bittig, Henry C., Maurer, Tanya L., Plant, Joshua N., Schmechtig, Catherine, Wong, Annie P. S., Claustre, Hervé, Trull, Thomas W., Udaya Bhaskar, T. V. S., Boss, Emmanuel, Dall’olmo, Giorgio, Organelli, Emanuele, Poteau, Antoine, Johnson, Kenneth S., Hanstein, Craig, Leymarie, Edouard, Le Reste, Serge, Riser, Stephen C., Rupan, A. Rick, Taillandier, Vincent, Thierry, Virginie, Xing, Xiaogang, Leibniz Institute for Baltic Sea Research Warnemünde (IOW), Monterey Bay Aquarium Research Institute (MBARI), Monterey Bay Aquarium Research Institute, Observatoire des sciences de l'univers Ecce Terra (ECCE TERRA), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'océanographie de Villefranche (LOV), Observatoire océanologique de Villefranche-sur-mer (OOVM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Antarctic Climate and Ecosystems Cooperative Research Centre (ACE-CRC), University of Maine, Plymouth Marine Laboratory (PML), Plymouth Marine Laboratory, Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), REM/RDT/SI2M, Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), Unité de Mécanique (UME), École Nationale Supérieure de Techniques Avancées (ENSTA Paris), Laboratoire de physique des océans (LPO), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS), Observatoire des sciences de l'univers Ecce Terra [Paris] (ECCE TERRA), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Observatoire des sciences de l'univers Ecce Terra [Paris] (OSU ECCE TERRA), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Océanographie Physique et Spatiale (LOPS), and Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)
- Subjects
ocean optics ,carbon cycle ,ocean observation ,best practices ,ocean biogeochemical cycles ,sensors ,argo ,ComputingMilieux_MISCELLANEOUS ,[SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography - Abstract
The Biogeochemical-Argo program (BGC-Argo) is a new profiling-float-based, ocean wide, and distributed ocean monitoring program which is tightly linked to, and has benefited significantly from, the Argo program. The community has recommended for BGC-Argo to measure six additional properties in addition to pressure, temperature and salinity measured by Argo, to include oxygen, pH, nitrate, downwelling light, chlorophyll fluorescence and the optical backscattering coefficient. The purpose of this addition is to enable the monitoring of ocean biogeochemistry and health, and in particular, monitor major processes such as ocean deoxygenation, acidification and warming and their effect on phytoplankton, the main source of energy of marine ecosystems. Here we describe the salient issues associated with the operation of the BGC-Argo network, with information useful for those interested in deploying floats and using the data they produce. The topics include float testing, deployment and increasingly, recovery. Aspects of data management, processing and quality control are covered as well as specific issues associated with each of the six BGC-Argo sensors. In particular, it is recommended that water samples be collected during float deployment to be used for validation of sensor output.
- Published
- 2019
- Full Text
- View/download PDF
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