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| Taillandier, Vincent; Wagener, Thibaut; D'Ortenzio, Fabrizio; Mayot, Nicolas; Legoff, Herve; Ras, Josephine; Coppola, Laurent; Pasqueron De Fommervault, Orens; Schmechtig, Catherine; Diamond, Emilie; Bittig, Henry; Lefevre, Dominique; Leymarie, Edouard; Poteau, Antoine; Prieur, Louis. |
| We report on data from an oceanographic cruise, covering western, central and eastern parts of the Mediterranean Sea, on the French research vessel Tethys 2 in May 2015. This cruise was fully dedicated to the maintenance and the metrological verification of a biogeochemical observing system based on a fleet of BGC-Argo floats. During the cruise, a comprehensive data set of parameters sensed by the autonomous network was collected. The measurements include ocean currents, seawater salinity and temperature, and concentrations of inorganic nutrients, dissolved oxygen and chlorophyll pigments. The analytical protocols and data processing methods are detailed, together with a first assessment of the calibration state for all the sensors deployed during the... |
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| Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00677/78943/81333.pdf |
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| Bittig, Henry; Kortzinger, Arne; Johnson, Ken; Claustre, Hervé; Emerson, Steve; Fennel, Katja; Garcia, Hernan; Gilbert, Denis; Gruber, Nicolas; Kang, Dong-jin; Naqvi, Wajih; Prakash, Satya; Riser, Steven; Thierry, Virginie; Tilbrook, Bronte; Uchida, Hiroshi; Ulloa, Osvaldo; Xing, Xiagang. |
| Recommendation for Oxygen Measurements from Argo Floats: Implementation of In-Air-Measurement Routine to Assure Highest Long-term Accuracy As Argo has entered its second decade and chemical/biological sensor technology is improving constantly, the marine biogeochemistry community is starting to embrace the successful Argo float program. An augmentation of the global float observatory, however, has to follow rather stringent constraints regarding sensor characteristics as well as data processing and quality control routines. Owing to the fairly advanced state of oxygen sensor technology and the high scientific value of oceanic oxygen measurements (Gruber et al., 2010), an expansion of the Argo core mission to routine oxygen measurements is perhaps the most... |
| Tipo: Text |
Palavras-chave: Argo; Bio-argo; Oxygen. |
| Ano: 2015 |
URL: http://archimer.ifremer.fr/doc/00348/45917/46180.pdf |
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| Bittig, Henry; Körtzinger, Arne; Johnson, Ken; Claustre, Herve; Emerson, Steve; Fennel, Katja; Garcia, Hernan; Gilbert, Denis; Gruber, Nicolas; Kang, Dong-jin; Naqvi, Wajih; Prakash, Satya; Riser, Steven; Thierry, Virginie; Tilbrook, Bronte; Uchida, Hiroshi; Ulloa, Osvaldo; Xing, Xiaogang. |
| Tipo: Text |
Palavras-chave: Argo; Bio-argo; Oxygen. |
| Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00348/45915/56281.pdf |
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| Thierry, Virginie; Bittig, Henry; Gilbert, Denis; Kobayashi, Taiyo; Kanako, Sato; Schmid, Claudia. |
| This document does NOT address the issue of oxygen data quality control (either real-time or delayed mode). As a preliminary step towards that goal, this document seeks to ensure that all countries deploying floats equipped with oxygen sensors document the data and metadata related to these floats properly. We produced this document in response to action item 14 from the AST-10 meeting in Hangzhou (March 22-23, 2009). Action item 14: Denis Gilbert to work with Taiyo Kobayashi and Virginie Thierry to ensure DACs are processing oxygen data according to recommendations. If the recommendations contained herein are followed, we will end up with a more uniform set of oxygen data within the Argo data system, allowing users to begin analysing not only their own... |
| Tipo: Text |
Palavras-chave: Argo; Bio-argo; Oxygen. |
| Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00287/39795/59750.pdf |
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| Sauzede, Raphaelle; Claustre, Hervé; Bittig, Henry; Pasqueron De Fommervault, Orens; Gattuso, Jean-pierre; Legendre, Louis; Johnson, Kenneth S. |
| A neural network-based method (CANYON: CArbonate system and Nutrients concentration from hYdrological properties and Oxygen using a Neural-network) was developed to estimate water-column biogeochemically relevant variables in the Global Ocean. These are the concentrations of 3 nutrients [nitrate (NO3−), phosphate (PO43−) and silicate (Si(OH)4)] and 4 carbonate system parameters [total alkalinity (AT), dissolved inorganic carbon (CT), pH (pHT) and partial pressure of CO2 (pCO2)], which are estimated from concurrent in situ measurements of temperature, salinity, hydrostatic pressure and oxygen (O2) together with sampling latitude, longitude and date. Seven neural-networks were developed using the GLODAPv2 database, which is largely representative of the... |
| Tipo: Text |
Palavras-chave: Neural network; Nutrients; Carbonate system; Global ocean; GLODAPv2 database; Profiling floats. |
| Ano: 2017 |
URL: https://archimer.ifremer.fr/doc/00383/49467/49952.pdf |
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| Bittig, Henry; Wong, Annie; Plant, Josh. |
| The current V3.1 Argo netCDF format that produces a pair of core- and b- profile files per cycle, with N_PROF > 1, allows storage of all profile information returned from BGC floats, in a manner that is as close to float output as possible. These can include multiple full-depth profiles with different pressure levels, multiple shallow profiles with different pressure levels, and recording of spatial and/or temporal delays between the CTD and various BGC sensor outputs. The advantage of this data management approach is that float outputs are faithfully recorded, so that any reprocessing demands that require access to the raw data can be met with ease. However, when measurements from multiple sensors are not aligned during onboard processing by the... |
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| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00445/55637/65836.pdf |
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