13 results on '"Maurer, Tanya L."'
Search Results
2. Processing BGC-Argo nitrate concentration at the DAC Level
- Author
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Johnson, Kenneth S., Plant, Joshua N., Sakamoto, Carole, Maurer, Tanya L., Pasqueron De Fommervault, Orens, Serra, Romain, D'Ortenzio, Fabrizio, Schmechtig, Catherine, Claustre, Hervé, Poteau, Antoine, Johnson, Kenneth S., Plant, Joshua N., Sakamoto, Carole, Maurer, Tanya L., Pasqueron De Fommervault, Orens, Serra, Romain, D'Ortenzio, Fabrizio, Schmechtig, Catherine, Claustre, Hervé, and Poteau, Antoine
- Abstract
The only method used to date to measure dissolved nitrate concentration (NITRATE) with sensors mounted on profiling floats is based on the absorption of light at ultraviolet wavelengths by nitrate ion (Johnson and Coletti, 2002; Johnson et al., 2010; 2013; D’Ortenzio et al., 2012). Nitrate has a modest UV absorption band with a peak near 210 nm, which overlaps with the stronger absorption band of bromide, which has a peak near 200 nm. In addition, there is a much weaker absorption due to dissolved organic matter and light scattering by particles (Ogura and Hanya, 1966). The UV spectrum thus consists of three components, bromide, nitrate and a background due to organics and particles. The background also includes thermal effects on the instrument and slow drift. All of these latter effects (organics, particles, thermal effects and drift) tend to be smooth spectra that combine to form an absorption spectrum that is linear in wavelength over relatively short wavelength spans. If the light absorption spectrum is measured in the wavelength range around 217 to 240 nm (the exact range is a bit of a decision by the operator), then the nitrate concentration can be determined. Two different instruments based on the same optical principles are in use for this purpose. The In Situ Ultraviolet Spectrophotometer (ISUS) built at MBARI or at Satlantic has been mounted inside the pressure hull of a Teledyne/Webb Research APEX and NKE Provor profiling floats and the optics penetrate through the upper end cap into the water. The Satlantic Submersible Ultraviolet Nitrate Analyzer (SUNA) is placed on the outside of APEX, Provor, and Navis profiling floats in its own pressure housing and is connected to the float through an underwater cable that provides power and communications. Power, communications between the float controller and the sensor, and data processing requirements are essentially the same for both ISUS and SUNA. There are several possible algorithms that can be used for the
- Published
- 2024
- Full Text
- View/download PDF
3. HOURLY IN SITU NITRATE ON A COASTAL MOORING : A 15-Year Record and Insights into New Production
- Author
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Sakamoto, Carole M., Johnson, Kenneth S., Coletti, Luke J., Maurer, Tanya L., Massion, Gene, Pennington, J. Timothy, Plant, Joshua N., Jannasch, Hans W., and Chavez, Francisco P.
- Published
- 2017
4. Processing BGC-Argo pH data at the DAC level
- Author
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Johnson, Kenneth S., Plant, Joshua N., Maurer, Tanya L., Takeshita, Yuichihiro, Johnson, Kenneth S., Plant, Joshua N., Maurer, Tanya L., and Takeshita, Yuichihiro
- Abstract
Seawater proton concentration is a master variable that controls the air-sea gas exchange of CO2, the ability of organisms to produce calcium carbonate shells, and that tracks the production and respiration of organic carbon as CO2 is removed or added to water by biological processes. The proton concentration in seawater [H+] (mol kg-seawater-1) is typically reported as the pH = -log10 [H+]. The in situ proton concentration ranges from about 3 to 30 nmol kg-seawater-1 (7.5
- Published
- 2023
- Full Text
- View/download PDF
5. Processing BGC-Argo nitrate concentration at the DAC Level
- Author
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Johnson, Kenneth S., Plant, Joshua N., Sakamoto, Carole, Maurer, Tanya L., Pasqueron De Fommervault, Orens, Serra, Romain, D'Ortenzio, Fabrizio, Schmechtig, Catherine, Claustre, Hervé, Poteau, Antoine, Johnson, Kenneth S., Plant, Joshua N., Sakamoto, Carole, Maurer, Tanya L., Pasqueron De Fommervault, Orens, Serra, Romain, D'Ortenzio, Fabrizio, Schmechtig, Catherine, Claustre, Hervé, and Poteau, Antoine
- Abstract
The only method used to date to measure dissolved nitrate concentration (NITRATE) with sensors mounted on profiling floats is based on the absorption of light at ultraviolet wavelengths by nitrate ion (Johnson and Coletti, 2002; Johnson et al., 2010; 2013; D’Ortenzio et al., 2012). Nitrate has a modest UV absorption band with a peak near 210 nm, which overlaps with the stronger absorption band of bromide, which has a peak near 200 nm. In addition, there is a much weaker absorption due to dissolved organic matter and light scattering by particles (Ogura and Hanya, 1966). The UV spectrum thus consists of three components, bromide, nitrate and a background due to organics and particles. The background also includes thermal effects on the instrument and slow drift. All of these latter effects (organics, particles, thermal effects and drift) tend to be smooth spectra that combine to form an absorption spectrum that is linear in wavelength over relatively short wavelength spans. If the light absorption spectrum is measured in the wavelength range around 217 to 240 nm (the exact range is a bit of a decision by the operator), then the nitrate concentration can be determined. Two different instruments based on the same optical principles are in use for this purpose. The In Situ Ultraviolet Spectrophotometer (ISUS) built at MBARI or at Satlantic has been mounted inside the pressure hull of a Teledyne/Webb Research APEX and NKE Provor profiling floats and the optics penetrate through the upper end cap into the water. The Satlantic Submersible Ultraviolet Nitrate Analyzer (SUNA) is placed on the outside of APEX, Provor, and Navis profiling floats in its own pressure housing and is connected to the float through an underwater cable that provides power and communications. Power, communications between the float controller and the sensor, and data processing requirements are essentially the same for both ISUS and SUNA. There are several possible algorithms that can be used for the
- Published
- 2023
- Full Text
- View/download PDF
6. BGC-Argo quality control manual for pH
- Author
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Johnson, Kenneth S., Maurer, Tanya L., Plant, Joshua N., Takeshita, Yuichihiro, Johnson, Kenneth S., Maurer, Tanya L., Plant, Joshua N., and Takeshita, Yuichihiro
- Abstract
This document is the Argo quality control (QC) manual for pH, where the parameter name for the variable is PH_IN_SITU_TOTAL. The document describes two levels of quality control: - The first level is the “real-time” (RT) quality control system, which includes a set of agreed-upon automatic quality-control tests on each measurement. Data adjustments can also be applied within the real-time system, and quality flags assigned accordingly. - The second level is the “delayed-mode” (DM) quality control system where data quality is assessed in detail by a delayed-mode operator and adjustments (based on comparison to high-quality reference fields) are derived. As mentioned, these adjustments can then be propagated forward and applied to incoming data in real-time until the next delayed-mode assessment is performed.
- Published
- 2023
- Full Text
- View/download PDF
7. BGC Argo quality control manual for particles backscattering
- Author
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Dall'Olmo, Giorgio, Bhaskar Tvs, Udaya, Bittig, Henry, Boss, Emmanuel, Brewster, Jodi, Claustre, Hervé, Donnelly, Matt, Maurer, Tanya L., Nicholson, David, Paba, Violetta, Plant, Joshua N., Poteau, Antoine, Sauzède, Raphaëlle, Schallenberg, Christina, Schmechtig, Catherine, Schmid, Claudia, Xing, Xiaogang, Dall'Olmo, Giorgio, Bhaskar Tvs, Udaya, Bittig, Henry, Boss, Emmanuel, Brewster, Jodi, Claustre, Hervé, Donnelly, Matt, Maurer, Tanya L., Nicholson, David, Paba, Violetta, Plant, Joshua N., Poteau, Antoine, Sauzède, Raphaëlle, Schallenberg, Christina, Schmechtig, Catherine, Schmid, Claudia, and Xing, Xiaogang
- Abstract
This document is the BGC-Argo quality control manual for particles backscattering. It describes the method used in real-time to apply quality control flags to particles backscattering calculated from specific sensors mounted on Argo profiling floats.
- Published
- 2023
- Full Text
- View/download PDF
8. Argo quality control manual for biogeochemical data
- Author
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Schmechtig, Catherine, Wong, Annie, Maurer, Tanya L., Bittig, Henry, Thierry, Virginie, Schmechtig, Catherine, Wong, Annie, Maurer, Tanya L., Bittig, Henry, and Thierry, Virginie
- Abstract
This document is the Argo quality control manual for biogeochemical data. It describes two levels of quality control: • The first level is the real-time system that performs a set of agreed automatic checks. • The second level is the delayed-mode quality control system.
- Published
- 2023
- Full Text
- View/download PDF
9. Updated temperature correction for computing seawater nitrate with in situ ultraviolet spectrophotometer and submersible ultraviolet nitrate analyzer nitrate sensors.
- Author
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Plant, Joshua N., Sakamoto, Carole M., Johnson, Kenneth S., Maurer, Tanya L., and Bif, Mariana B.
- Subjects
NITRATES ,SEAWATER ,OCEAN temperature ,DETECTORS ,SPECTROPHOTOMETERS ,OCEANOGRAPHIC submersibles - Abstract
Sensors that use ultraviolet (UV) light absorption to measure nitrate in seawater at in situ temperatures require a correction to the calibration coefficients if the calibration and sample temperatures are not identical. This is mostly due to the bromide molecule, which absorbs more UV light as temperature increases. The current correction applied to in situ ultraviolet spectrophotometer (ISUS) and submersible ultraviolet nitrate analyzer (SUNA) nitrate sensors generally follows Sakamoto et al. (2009, Limnol. Oceanogr. Methods 7, 132–143). For waters warmer than the calibration temperature, this correction model can lead to a 1–2 μmol kg−1 positive bias in nitrate concentration. Here we present an updated correction model, which reduces this small but noticeable bias by at least 50%. This improved model is based on additional laboratory data and describes the temperature correction as an exponential function of wavelength and temperature difference from the calibration temperature. It is a better fit to the experimental data than the current model and the improvement is validated using two populations of nitrate profiles from Biogeochemical Argo floats navigating through tropical waters. One population is from floats equipped with ISUS sensors while the other arises from floats with SUNA sensors on board. Although this model can be applied to both ISUS and SUNA nitrate sensors, it should not be used for OPUS UV nitrate sensors at this time. This new approach is similar to that used for OPUS sensors (Nehir et al., 2021, Front. Mar. Sci. 8, 663800) with differing model coefficients. This difference suggests that there is an instrumental component to the temperature correction or that there are slight differences in experimental methodologies. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
10. Carbon to Nitrogen Uptake Ratios Observed Across the Southern Ocean by the SOCCOM Profiling Float Array
- Author
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Johnson, Kenneth S., primary, Mazloff, Matthew R., additional, Bif, Mariana B., additional, Takeshita, Yuichiro, additional, Jannasch, Hans W., additional, Maurer, Tanya L., additional, Plant, Joshua N., additional, Verdy, Ariane, additional, Walz, Peter M., additional, Riser, Stephen C., additional, and Talley, Lynne D., additional
- Published
- 2022
- Full Text
- View/download PDF
11. Delayed-Mode Quality Control of Oxygen, Nitrate, and pH Data on SOCCOM Biogeochemical Profiling Floats
- Author
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Maurer, Tanya L., primary, Plant, Joshua N., additional, and Johnson, Kenneth S., additional
- Published
- 2021
- Full Text
- View/download PDF
12. 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
13. Processing BGC-Argo pH data at the DAC level
- Author
-
Johnson, Kenneth S., Plant, Joshua N., and Maurer, Tanya L.
- Abstract
Seawater proton concentration is a master variable that controls the air-sea gas exchange of CO2, the ability of organisms to produce calcium carbonate shells, and that tracks the production and respiration of organic carbon as CO2 is removed or added to water by biological processes. The proton concentration in seawater [H+] (mol kg-seawater-1) is typically reported as the pH = -log10 [H+]. The in situ proton concentration ranges from about 3 to 30 nmol kg-seawater-1 (7.5
- Published
- 2018
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