|
|
|
| Registros recuperados: 13 | |
|
|
| Reul, Nicolas; Grodsky, S.a.; Arias, M.; Boutin, J.; Catany, R.; Chapron, Bertrand; D'Amico, F; Dinnat, E.; Donlon, C.; Fore, A.; Fournier, Severine; Guimbard, Sebastien; Hasson, A.; Kolodziejczyk, Nicolas; Lagerloef, G.; Lee, T.; Le Vine, D.m.; Lindstrom, E.; Maes, Christophe; Mecklenburg, S.; Meissner, T.; Olmedo, E.; Sabia, R.; Tenerelli, Joseph; Thouvenin-masson, C.; Turiel, A.; Vergely, J.l.; Vinogradova, N.; Wentz, F.; Yueh, S.. |
| Operated since the end of 2009, the European Space Agency (ESA) Soil Moisture and Ocean Salinity (SMOS) satellite mission is the first orbiting radiometer that collects regular and global observations from space of two Essential Climate Variables of the Global Climate Observing System: Sea Surface Salinity (SSS) and Soil Moisture. The National Aeronautics and Space Administration (NASA) Aquarius mission, with the primary objective to provide global SSS measurements from space operated from mid-2011 to mid-2015. NASA's Soil Moisture Active-Passive (SMAP) mission, primarily dedicated to soil moisture measurements, but also monitoring SSS, has been operating since early 2015. The primary sensors onboard these three missions are passive microwave radiometers... |
| Tipo: Text |
Palavras-chave: Sea surface salinity; Ocean microwave remote sensing; Radiometer; L-band; SMOS; Aquarius/SAC-D; SMAP. |
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00615/72750/71894.pdf |
| |
|
|
| Parard, Gaelle; Boutin, J.; Cuypers, Y.; Bouruet-aubertot, P.; Caniaux, G.. |
| The availability of nutrients in the mixed layer is the main limitation to organic carbon biological production in the tropical regions. In this paper, we investigate the potential role of internal waves at promoting the development of biological activity on a PIRATA mooring at 6 degrees S, 10 degrees W. This mooring is located above the Mid-Atlantic Ridge where we observe strong internal waves. Using a one-dimensional physical and biogeochemical coupled model, we simulate dissolved inorganic carbon (DIC). Providing the influence of vertical advection and turbulent diapycnal diffusivity are (it is vertical advection + turbulent dipycnal mixing) accounted for, we find that this model provides a good fit with observed in situ CO2 fugacity (fCO(2)). Main... |
| Tipo: Text |
Palavras-chave: Carbon dioxide; Internal wave; High frequency; PIRATA; Atlantic tropical; Nitrate flux. |
| Ano: 2014 |
URL: https://archimer.ifremer.fr/doc/00624/73568/73005.pdf |
| |
|
|
| Reverdin, Gilles; Morisset, S.; Bellenger, H.; Boutin, J.; Martin, N.; Blouch, P.; Rolland, Jean; Gaillard, Fabienne; Bouruet-aubertot, P.; Ward, B.. |
| This study describes how the hull temperature (Ttop) measurements from multisensor surface velocity program (SVP) drifters can be combined with other measurements to provide quantitative information on near-surface vertical temperature stratification during large daily cycles. First, Ttop is compared to the temperature measured at 17 -cm depth from a float tethered to the SVP drifter. These 2007-12 SVP drifters present a larger daily cycle by 1%-3% for 1 degrees-2 degrees C daily cycle amplitudes, with a maximum difference close to the local noon. The difference could result from flow around the SVP drifter in the presence of temperature stratification in the top 20 cm of the water column but also from a small influence of internal drifter temperature on... |
| Tipo: Text |
Palavras-chave: Sea surface temperature; Buoy observations. |
| Ano: 2013 |
URL: http://archimer.ifremer.fr/doc/00155/26589/24720.pdf |
| |
|
|
| Merlivat, L.; Boutin, J.; D'Ovidio, F.. |
| The Kerguelen Plateau region in the Indian sector of the Southern Ocean supports annually a large-scale phytoplankton bloom which is naturally fertilized with iron. As part of the second Kerguelen Ocean and Plateau compared Study expedition (KEOPS2) in austral spring (OctoberNovember 2011), one CARbon Interface OCean Atmosphere (CARIOCA) buoy was deployed east of the Kerguelen Plateau. It drifted eastward downstream along the Kerguelen plume. Hourly surface measurements of pCO(2), O-2 and ancillary observations were collected between 1 November 2011 and 12 February 2012 with the aim of characterizing the spatial and temporal variability of the biological net community production, NCP, downstream the Kerguelen Plateau, assessing the impact of iron-induced... |
| Tipo: Text |
|
| Ano: 2015 |
URL: https://archimer.ifremer.fr/doc/00291/40254/38633.pdf |
| |
|
|
| Boutin, J.; Martin, N.; Yin, X.; Reul, Nicolas; Spurgeon, P.. |
| We validate Soil Moisture and Ocean Salinity (SMOS) sea surface salinity (SSS) retrieved during August 2010 from the European Space Agency SMOS processing. Biases appear close to land and ice and between ascending and descending orbits; they are linked to image reconstruction issues and instrument calibration and remain under study. We validate the SMOS SSS in conditions where these biases appear to be small. We compare SMOS and ARGO SSS over four regions far from land and ice using only ascending orbits. Four modelings of the impact of the wind on the sea surface emissivity have been tested. Results suggest that the L-band brightness temperature is not linearly related to the wind speed at high winds as expected in the presence of emissive foam, but that... |
| Tipo: Text |
Palavras-chave: L-Band; Microwave Radiometry; Ocean Salinity; Sea Surface. |
| Ano: 2012 |
URL: http://archimer.ifremer.fr/doc/00074/18557/16108.pdf |
| |
|
|
| Boutin, J.; Vergely, J. L.; Marchand, S.; D'Amico, F; Hasson, A.; Kolodziejczyk, Nicolas; Reul, Nicolas; Reverdin, G.; Vialard, J.. |
| Salinity observing satellites have the potential to monitor river fresh-water plumes mesoscale spatio-temporal variations better than any other observing system. In the case of the Soil Moisture and Ocean Salinity (SMOS) satellite mission, this capacity was hampered due to the contamination of SMOS data processing by strong land-sea emissivity contrasts. Kolodziejczyk et al. (2016) (hereafter K2016) developed a methodology to mitigate SMOS systematic errors in the vicinity of continents, that greatly improved the quality of the SMOS Sea Surface Salinity (SSS). Here, we find that SSS variability, however, often remained underestimated, such as near major river mouths. We revise the K2016 methodology with: a) a less stringent filtering of measurements in... |
| Tipo: Text |
Palavras-chave: SMOS; Sea Surface Salinity; SMAP. |
| Ano: 2018 |
URL: http://archimer.ifremer.fr/doc/00441/55254/56819.pdf |
| |
|
|
| Pfeil, B.; Olsen, A.; Bakker, D. C. E.; Hankin, S.; Koyuk, H.; Kozyr, A.; Malczyk, J.; Manke, A.; Metzl, N.; Sabine, C. L.; Akl, J.; Alin, S. R.; Bates, N.; Bellerby, R. G. J.; Borges, A.; Boutin, J.; Brown, P. J.; Cai, W. -j.; Chavez, F. P.; Chen, A.; Cosca, C.; Fassbender, A. J.; Feely, R. A.; Gonzalez-davila, M.; Goyet, C.; Hales, B.; Hardman-mountford, N.; Heinze, C.; Hood, M.; Hoppema, M.; Hunt, C. W.; Hydes, D.; Ishii, M.; Johannessen, T.; Jones, S. D.; Key, R. M.; Koertzinger, A.; Landschuetzer, P.; Lauvset, S. K.; Lefevre, N.; Lenton, A.; Lourantou, A.; Merlivat, L.; Midorikawa, T.; Mintrop, L.; Miyazaki, C.; Murata, A.; Nakadate, A.; Nakano, Y.; Nakaoka, S.; Nojiri, Y.; Omar, A. M.; Padin, X. A.; Park, G. -h.; Paterson, K.; Perez, Fiz F; Pierrot, D.; Poisson, A.; Rios, A. F.; Santana-casiano, J. M.; Salisbury, J.; Sarma, V. V. S. S.; Schlitzer, R.; Schneider, B.; Schuster, U.; Sieger, R.; Skjelvan, I.; Steinhoff, T.; Suzuki, T.; Takahashi, T.; Tedesco, K.; Telszewski, M.; Thomas, H.; Tilbrook, B.; Tjiputra, J.; Vandemark, D.; Veness, T.; Wanninkhof, R.; Watson, A. J.; Weiss, R.; Wong, C. S.; Yoshikawa-inoue, H.. |
| A well-documented, publicly available, global data set of surface ocean carbon dioxide (CO2) parameters has been called for by international groups for nearly two decades. The Surface Ocean CO2 Atlas (SOCAT) project was initiated by the international marine carbon science community in 2007 with the aim of providing a comprehensive, publicly available, regularly updated, global data set of marine surface CO2, which had been subject to quality control (QC). Many additional CO2 data, not yet made public via the Carbon Dioxide Information Analysis Center (CDIAC), were retrieved from data originators, public websites and other data centres. All data were put in a uniform format following a strict protocol. Quality control was carried out according to clearly... |
| Tipo: Text |
|
| Ano: 2013 |
URL: https://archimer.ifremer.fr/doc/00383/49450/49923.pdf |
| |
|
|
| Bakker, D. C. E.; Pfeil, B.; Smith, K.; Hankin, S.; Olsen, A.; Alin, S. R.; Cosca, C.; Harasawa, S.; Kozyr, A.; Nojiri, Y.; O'Brien, K. M.; Schuster, U.; Telszewski, M.; Tilbrook, B.; Wada, C.; Akl, J.; Barbero, L.; Bates, N. R.; Boutin, J.; Bozec, Y.; Cai, W. -j.; Castle, R. D.; Chavez, F. P.; Chen, L.; Chierici, M.; Currie, K.; De Baar, H. J. W.; Evans, W.; Feely, R. A.; Fransson, A.; Gao, Z.; Hales, B.; Hardman-mountford, N. J.; Hoppema, M.; Huang, W. -j.; Hunt, C. W.; Huss, B.; Ichikawa, T.; Johannessen, T.; Jones, E. M.; Jones, S. D.; Jutterstrom, S.; Kitidis, V.; Koertzinger, A.; Landschuetzer, P.; Lauvset, S. K.; Lefevre, N.; Manke, A. B.; Mathis, J. T.; Merlivat, L.; Metzl, N.; Murata, A.; Newberger, T.; Omar, A. M.; Ono, T.; Park, G. -h.; Paterson, K.; Pierrot, D.; Rios, A. F.; Sabine, C. L.; Saito, S.; Salisbury, J.; Sarma, V. V. S. S.; Schlitzer, R.; Sieger, R.; Skjelvan, I.; Steinhoff, T.; Sullivan, K. F.; Sun, H.; Sutton, A. J.; Suzuki, T.; Sweeney, C.; Takahashi, T.; Tjiputra, J.; Tsurushima, N.; Van Heuven, S. M. A. C.; Vandemark, D.; Vlahos, P.; Wallace, D. W. R.; Wanninkhof, R.; Watson, A. J.. |
| The Surface Ocean CO2 Atlas (SOCAT), an activity of the international marine carbon research community, provides access to synthesis and gridded fCO(2) (fugacity of carbon dioxide) products for the surface oceans. Version 2 of SOCAT is an update of the previous release (version 1) with more data (increased from 6.3 million to 10.1 million surface water fCO(2) values) and extended data coverage (from 1968-2007 to 1968-2011). The quality control criteria, while identical in both versions, have been applied more strictly in version 2 than in version 1. The SOCAT website (http://www.socat.info/) has links to quality control comments, metadata, individual data set files, and synthesis and gridded data products. Interactive online tools allow visitors to explore... |
| Tipo: Text |
|
| Ano: 2014 |
URL: https://archimer.ifremer.fr/doc/00291/40260/39418.pdf |
| |
|
|
| Sabine, C. L.; Hankin, S.; Koyuk, H.; Bakker, D. C. E.; Pfeil, B.; Olsen, A.; Metzl, N.; Kozyr, A.; Fassbender, A.; Manke, A.; Malczyk, J.; Akl, J.; Alin, S. R.; Bellerby, R. G. J.; Borges, A.; Boutin, J.; Brown, P. J.; Cai, W. -j.; Chavez, F. P.; Chen, A.; Cosca, C.; Feely, R. A.; Gonzalez-davila, M.; Goyet, C.; Hardman-mountford, N.; Heinze, C.; Hoppema, M.; Hunt, C. W.; Hydes, D.; Ishii, M.; Johannessen, T.; Key, R. M.; Koertzinger, A.; Landschuetzer, P.; Lauvset, S. K.; Lefevre, N.; Lenton, A.; Lourantou, A.; Merlivat, L.; Midorikawa, T.; Mintrop, L.; Miyazaki, C.; Murata, A.; Nakadate, A.; Nakano, Y.; Nakaoka, S.; Nojiri, Y.; Omar, A. M.; Padin, X. A.; Park, G. -h.; Paterson, K.; Perez, F.f.; Pierrot, D.; Poisson, A.; Rios, A. F.; Salisbury, J.; Santana-casiano, J. M.; Sarma, V. V. S. S.; Schlitzer, R.; Schneider, B.; Schuster, U.; Sieger, R.; Skjelvan, I.; Steinhoff, T.; Suzuki, T.; Takahashi, T.; Tedesco, K.; Telszewski, M.; Thomas, H.; Tilbrook, B.; Vandemark, D.; Veness, T.; Watson, A. J.; Weiss, R.; Wong, C. S.; Yoshikawa-inoue, H.. |
| A well documented, publicly available, global data set for surface ocean carbon dioxide (CO2) parameters has been called for by international groups for nearly two decades. The Surface Ocean CO2 Atlas (SOCAT) project was initiated by the international marine carbon science community in 2007 with the aim of providing a comprehensive, publicly available, regularly updated, global data set of marine surface CO2, which had been subject to quality control (QC). SOCAT version 1.5 was made public in September 2011 and holds 6.3 million quality controlled surface CO2 data from the global oceans and coastal seas, spanning four decades (1968–2007). The SOCAT gridded data is the second data product to come from the SOCAT project. Recognizing that some groups may have... |
| Tipo: Text |
|
| Ano: 2013 |
URL: https://archimer.ifremer.fr/doc/00141/25178/23284.pdf |
| |
|
|
| Boutin, J.; Quilfen, Yves; Merlivat, L.; Piolle, Jean-francois. |
| The absolute calibration of the relationship between air-sea CO2 transfer velocity, k, and wind speed, U, has been a topic of debate for some time, because k global average, < k >, as deduced from Geochemical Ocean Sections Study oceanic C-14 inventory has differed from that deduced from experimental k-U relationships. Recently, new oceanic C-14 inventories and inversions have lead to a lower < k >. In addition, new measurements performed at sea in high-wind speed conditions have led to new k-U relationship. Meanwhile, quality and sampling of satellite wind speeds has greatly improved. The QuikSCAT scatterometer has provided high-quality wind speeds for more than 7 years. This allows us to estimate the global distributions of k computed using... |
| Tipo: Text |
Palavras-chave: CO2 transfer velocity; QuikSCAT; CARIOCA. |
| Ano: 2009 |
URL: http://archimer.ifremer.fr/doc/2009/publication-6394.pdf |
| |
|
|
| Resplandy, L.; Boutin, J.; Merlivat, L.. |
| The considerable uncertainties in the carbon budget of the Southern Ocean are largely attributed to unresolved variability, in particular at a seasonal timescale and small spatial scale (similar to 100 km). In this study, the variability of surface pCO(2) and dissolved inorganic carbon (DIC) at seasonal and small spatial scales is examined using a data set of surface drifters including similar to 80 000 measurements at high spatiotemporal resolution. On spatial scales of 100 km, we find gradients ranging from 5 to 50 mu atm for pCO(2) and 2 to 30 mu mol kg(-1) for DIC, with highest values in energetic and frontal regions. This result is supported by a second estimate obtained with sea surface temperature (SST) satellite images and local DIC-SST... |
| Tipo: Text |
|
| Ano: 2014 |
URL: https://archimer.ifremer.fr/doc/00240/35116/33613.pdf |
| |
|
|
| Reverdin, G.; Boutin, J.; Martin, N.; Lourenco, A.; Bouruet-aubertot, P.; Lavin, A.; Mader, J.; Blouch, P.; Rolland,; Gaillard, Fabienne; Lazure, Pascal. |
| The accuracy of temperature measurements from drifters is first examined for 16 drifters (manufactured either by Metocean Data Systems or by Pacific Gyre) deployed with two temperature sensors in the tropical or North Atlantic Ocean. One of these sensors is the SST thermistor commonly used on Surface Velocity Program (SVP) drifters since the late 1980s; whereas the other sensor is a platinum temperature probe associated with a Seabird conductivity cell. The authors find (for 19 separate deployments) an average positive offset of the SST thermistor measurements in 17 out of 19 cases, exceeding 0.1 degrees C in five instances. Among the five drifters that were at sea for a year or more, two present a large trend in this offset (0.10 degrees and -0.10 degrees... |
| Tipo: Text |
Palavras-chave: Temperature; Sea surface temperature; Instrumentation; Sensors. |
| Ano: 2010 |
URL: https://archimer.ifremer.fr/doc/00012/12327/9112.pdf |
| |
|
|
| Boutin, J.; Chao, Y.; Asher, W. E.; Delcroix, T.; Drucker, R.; Drushka, K.; Kolodziejczyk, Nicolas; Lee, T.; Reul, Nicolas; Reverdin, G.; Schanze, J.; Soloviev, A.; Yu, L.; Anderson, J.; Brucker, L.; Dinnat, E.; Santos-garcia, A.; Jones, W. L.; Maes, C.; Meissner, T.; Tang, W.; Vinogradova, N.; Ward, B.. |
| Remote sensing of salinity using satellite-mounted microwave radiometers provides new perspectives for studying ocean dynamics and the global hydrological cycle. Calibration and validation of these measurements is challenging because satellite and in situ methods measure salinity differently. Microwave radiometers measure the salinity in the top few centimeters of the ocean, whereas most in situ observations are reported below a depth of a few meters. Additionally, satellites measure salinity as a spatial average over an area of about 100x100 km2. In contrast, in situ sensors provide pointwise measurements at the location of the sensor. Thus, the presence of vertical gradients in, and horizontal variability of, sea surface salinity complicates comparing... |
| Tipo: Text |
|
| Ano: 2016 |
URL: https://archimer.ifremer.fr/doc/00300/41095/40268.pdf |
| |
| Registros recuperados: 13 | |
|
|
|
