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| Registros recuperados: 12 | |
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| 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 |
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| Hernandez, Olga; Boutin, Jacqueline; Kolodziejczyk, Nicolas; Reverdin, Gilles; Martin, Nicolas; Gaillard, Fabienne; Reul, Nicolas; Vergely, J. L.. |
| Sea surface salinity (SSS) measured from space by the Soil Moisture and Ocean Salinity (SMOS) mission is validated in the subtropical North Atlantic Ocean. 39 transects of ships of opportunity equipped with thermosalinographs (TSG) crossed that region from 2010 to 2012, providing a large database of ground truth SSS. SMOS SSS is also compared to Aquarius SSS. Large seasonal biases remain in SMOS and Aquarius SSS. In order to look at the capability of satellite SSS to monitor spatial variability, especially at scales less than 300 km (not monitored with the Argo network), we first apply a monthly bias correction derived from satellite SSS and In Situ Analysis System (ISAS) SSS differences averaged over the studied region. Ship SSS averaged over 25 km is... |
| Tipo: Text |
Palavras-chave: SMOS; Salinity; Remote sensing; Subtropical North Atlantic. |
| Ano: 2014 |
URL: http://archimer.ifremer.fr/doc/00210/32150/34082.pdf |
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| Zribi, Mehrez; Parde, Mickael; Boutin, Jacqueline; Fanise, Pascal; Hauser, Daniele; Dechambre, Monique; Kerr, Yann; Leduc-leballeur, Marion; Reverdin, Gilles; Skou, Niels; Sobjaerg, Sten; Albergel, Clement; Calvet, Jean Christophe; Wigneron, Jean Pierre; Lopez-baeza, Ernesto; Rius, Antonio; Tenerelli, Joseph. |
| The "Cooperative Airborne Radiometer for Ocean and Land Studies" (CAROLS) L-Band radiometer was designed and built as a copy of the EMIRAD II radiometer constructed by the Technical University of Denmark team. It is a fully polarimetric and direct sampling correlation radiometer. It is installed on board a dedicated French ATR42 research aircraft, in conjunction with other airborne instruments (C-Band scatterometer-STORM, the GOLD-RTR GPS system, the infrared CIMEL radiometer and a visible wavelength camera). Following initial laboratory qualifications, three airborne campaigns involving 21 flights were carried out over South West France, the Valencia site and the Bay of Biscay (Atlantic Ocean) in 2007, 2008 and 2009, in coordination with in situ field... |
| Tipo: Text |
Palavras-chave: Radiometer; CAROLS; L band; SMOS; Ocean salinity; Soil moisture. |
| Ano: 2011 |
URL: https://archimer.ifremer.fr/doc/00240/35118/33615.pdf |
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| 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 |
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| Vinogradova, Nadya; Lee, Tong; Boutin, Jacqueline; Drushka, Kyla; Fournier, Severine; Sabia, Roberto; Stammer, Detlef; Bayler, Eric; Reul, Nicolas; Gordon, Arnold; Melnichenko, Oleg; Li, Laifang; Hackert, Eric; Martin, Matthew; Kolodziejczyk, Nicolas; Hasson, Audrey; Brown, Shannon; Misra, Sidharth; Lindstrom, Eric. |
| Advances in L-band microwave satellite radiometry in the past decade, pioneered by ESA’s SMOS and NASA’s Aquarius and SMAP missions, have demonstrated an unprecedented capability to observe global sea surface salinity (SSS) from space. Measurements from these missions are the only means to probe the very-near surface salinity (top cm), providing a unique monitoring capability for the interfacial exchanges of water between the atmosphere and the upper-ocean, and delivering a wealth of information on various salinity processes in the ocean, linkages with the climate and water cycle, including land-sea connections, and providing constraints for ocean prediction models. The satellite SSS data are complimentary to the existing in situ systems such as Argo that... |
| Tipo: Text |
Palavras-chave: Salinity; Remote sensing; Earth's observing systems; Future satellite missions; SMAP; SMOS; Aquarius. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00498/60985/64391.pdf |
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| Sommer, Anna; Reverdin, Gilles; Kolodziejczyk, Nicolas; Boutin, Jacqueline. |
| Variability at large to meso-scale in sea surface salinity (SSS) and sea surface temperature (SST) is investigated in the subtropical North Atlantic Ocean during the Subtropical Atlantic Surface Salinity Experiment Strasse/SPURS in August 2012—August 2013. The products of the Soil Moisture and Ocean Salinity (SMOS) mission corrected from large scale systematic errors are tested and used to retrieve meso-scale salinity features, while OSTIA products, resolving meso-scale temperature features are used for SST. The comparison of corrected SMOS SSS data with drifter's in situ measurements from SPURS experiment shows a reasonable agreement, especially during winter time with RMS differences on the order of 0.15 pss (for 10 days, 75 km resolution SMOS product).... |
| Tipo: Text |
Palavras-chave: Salinity; Temperature; Budget; Meso-scale; Advection; SMOS; SPURS. |
| Ano: 2015 |
URL: https://archimer.ifremer.fr/doc/00468/57933/60319.pdf |
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| Land, Peter E.; Findlay, Helen S.; Shutler, Jamie D.; Ashton, Ian; Holding, Thomas; Grouazel, Antoine; Ardhuin, Fanny; Reul, Nicolas; Piolle, Jean-francois; Chapron, Bertrand; Quilfen, Yves; Bellerby, Richard G.j.; Bhadury, Punyasloke; Salisbury, Joseph; Vandemark, Douglas; Sabia, Roberto. |
| Improving our ability to monitor ocean carbonate chemistry has become a priority as the ocean continues to absorb carbon dioxide from the atmosphere. This long-term uptake is reducing the ocean pH; a process commonly known as ocean acidification. The use of satellite Earth Observation has not yet been thoroughly explored as an option for routinely observing surface ocean carbonate chemistry, although its potential has been highlighted. We demonstrate the suitability of using empirical algorithms to calculate total alkalinity (AT) and total dissolved inorganic carbon (CT), assessing the relative performance of satellite, interpolated in situ, and climatology datasets in reproducing the wider spatial patterns of these two variables. Both AT and CT in situ... |
| Tipo: Text |
Palavras-chave: Carbonate chemistry; Earth observation; Ocean acidification; Total alkalinity; Dissolved inorganic carbon; SMOS; Aquarius; CORA; HadGEM2-ES. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00591/70267/68368.pdf |
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| Durand, F; Alory, Gael; Dussin, Raphael; Reul, Nicolas. |
| The tropical Indian Ocean experiences an interannual mode of climatic variability, known as the Indian Ocean Dipole (IOD). The signature of this variability in ocean salinity is hypothesized based on modeling and assimilation studies, on account of scanty observations. Soil Moisture and Ocean Salinity (SMOS) satellite has been designed to take up the challenge of sea surface salinity remote sensing. We show that SMOS data can be used to infer the pattern of salinity variability linked with the IOD events. The core of maximum variability is located in the central tropical basin, south of the equator. This region is anomalously salty during the 2010 negative IOD event, and anomalously fresh during the 2011 positive IOD event. The peak-to-peak anomaly exceeds... |
| Tipo: Text |
Palavras-chave: SSS; Indian Ocean Dipole; SMOS; ARGO; ENSO. |
| Ano: 2013 |
URL: http://archimer.ifremer.fr/doc/00161/27234/25481.pdf |
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| Yin, Xiaobin; Boutin, Jacqueline; Martin, Nicolas; Spurgeon, Paul; Vergely, Jean-luc; Gaillard, Fabienne. |
| The wind speed (WS) provided by the European Centre for Medium-Range Weather Forecasts (ECMWF) is used to initialize the retrieval process of WS and Sea Surface Salinity (SSS) obtained by the Soil Moisture and Ocean Salinity (SMOS) mission. This process compensates for the lack of onboard instrument providing a measure of ocean surface WS independent of the L-band radiometer measurements. The SMOS-retrieved WS in the center of the swath (± 300 km) is adjusted regarding to its a priori estimate. The quality of the SMOS-retrieved SSS (SSSSMOS) is better at the center of the swath than at the edge of the swatch because the larger number of brightness temperature measurements available at the center of the swath reduces the effects of noise and because the... |
| Tipo: Text |
Palavras-chave: SMOS; SSMIS; ECMWF; Wind speed; Salinity. |
| Ano: 2014 |
URL: http://archimer.ifremer.fr/doc/00158/26970/25261.pdf |
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| Ricker, Robert; Hendricks, Stefan; Girard-ardhuin, Fanny; Kaleschke, Lars; Lique, Camille; Tian-kunze, Xiangshan; Nicolaus, Marcel; Krumpen, Thomas. |
| An anomalous warm winter 2015–2016 lead to the lowest winter ice extent and highlights the sensitivity of the Arctic sea ice. Here we use the 6 year record of an improved sea ice thickness product retrieved from data fusion of CryoSat-2 radar altimetry and Soil Moisture and Ocean Salinity radiometry measurements to examine the impact of recent temperature trend on the Arctic ice mass balance. Between November 2015 and March 2016, we find a consistent drop of cumulative freezing degree days across the Arctic, with a negative peak anomaly of about 1000 degree days in the Barents Sea, coinciding with an Arctic-wide average thinning of 10 cm in March with respect to the 6 year average. In particular, the loss of ice volume is associated with a significant... |
| Tipo: Text |
Palavras-chave: Arctic sea ice; Sea ice thickness; Remote sensing; CryoSat-2; SMOS; Sea ice growth. |
| Ano: 2017 |
URL: http://archimer.ifremer.fr/doc/00382/49325/49701.pdf |
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| Cotton, J.; Francis, P.; Heming, J.; Forsythe, M.; Reul, Nicolas; Donlon, C.. |
| A new generation of L-band sensors, such as ESA's Soil Moisture Ocean Salinity (SMOS) mission, have the capability to provide information on the ocean-surface wind speed under high wind and rain conditions. In this study we evaluate the use of SMOS wind speeds within Met Office numerical weather prediction (NWP). Observation minus model background (O-B) departure statistics are used to investigate SMOS error characteristics, quality flags, and develop a quality control method. Observation errors and spatial correlation distances are estimated using a statistical method. Observing system experiments are performed to diagnose the impact of SMOS on NWP forecasts and analyses, including tropical cyclone (TC) predictions. The quality of SMOS retrievals appears... |
| Tipo: Text |
Palavras-chave: SMOS; L-band wind speed; Data assimilation; Tropical cyclones; NWP. |
| Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00417/52868/53782.pdf |
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| Registros recuperados: 12 | |
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