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Registros recuperados: 58 | |
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Hanafin, Jennifer; Quilfen, Yves; Ardhuin, Fabrice; Sienkiewicz, Joseph; Queffeulou, Pierre; Obrebski, Mathias; Chapron, Bertrand; Reul, Nicolas; Collard, Fabrice; Corman, David; De Azevedo, Eduardo B.; Vandemark, Doug; Stutzmann, Eleonore. |
Tipo: Text |
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Ano: 2012 |
URL: http://archimer.ifremer.fr/doc/00094/20538/18197.pdf |
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Reul, Nicolas; Tenerelli, Joseph; Chapron, Bertrand; Vandemark, Doug; Quilfen, Yves; Kerr, Yann. |
The Soil Moisture and Ocean Salinity (SMOS) mission currently provides multiangular L-band (1.4 GHz) brightness temperature images of the Earth. Because upwelling radiation at 1.4 GHz is significantly less affected by rain and atmospheric effects than at higher microwave frequencies, these new SMOS measurements offer unique opportunities to complement existing ocean satellite high wind observations that are often contaminated by heavy rain and clouds. To illustrate this new capability, we present SMOS data over hurricane Igor, a tropical storm that developed to a Saffir-Simpson category 4 hurricane from 11 to 19 September 2010. Thanks to its large spatial swath and frequent revisit time, SMOS observations intercepted the hurricane 9 times during this... |
Tipo: Text |
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Ano: 2012 |
URL: http://archimer.ifremer.fr/doc/00067/17805/15330.pdf |
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Garcon, Veronique; Bell, Thomas G; Wallace, Douglas; Arnold, Steve R.; Baker, Alex R.; Bakker, Dorothee C. E.; Bange, Hermann W.; Bates, Nicholas R.; Bopp, Laurent; Boutin, Jacqueline; Boyd, Phili^w.; Bracher, Astrid; Burrows, John P.; Carpenter, Lucy J; De Leeuw, Gerrit; Fennel, Katja; Font, Jordi; Friedrich, Tobias; Garbe, Christoph S.; Gruber, Nicolas; Jaegle, Lyatt; Lana, Arancha; Lee, James D.; Liss, Peter S.; Miller, Lisa A.; Olgun, Nazli; Olsen, Are; Pfeil, Benjamin; Quack, Birgit; Read, Katie A.; Reul, Nicolas; Rodenbeck, Christian; Rohekar, Oliver; Saiz-lopez, Alfonso; Saltzman, Eric S.; Schneising, Oliver; Schuster, Ute; Seferian, Roland; Seinhoff, Tobias; Le Traon, Pierre-yves; Ziska, Franziska. |
Why a chapter on Perspectives and Integration in SOLAS Science in this book? SOLAS science by its nature deals with interactions that occur: across a wide spectrum of time and space scales, involve gases and particles, between the ocean and the atmosphere, across many disciplines including chemistry, biology, optics, physics, mathematics, computing, socio-economics and consequently interactions between many different scientists and across scientific generations. This chapter provides a guide through the remarkable diversity of cross-cutting approaches and tools in the gigantic puzzle of the SOLAS realm. Here we overview the existing prime components of atmospheric and oceanic observing systems, with the acquisition of ocean–atmosphere observables either... |
Tipo: Text |
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Ano: 2014 |
URL: http://archimer.ifremer.fr/doc/00171/28189/26428.pdf |
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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 |
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Boutin, Jacqueline; Martin, Nicolas; Reverdin, Gilles; Morisset, S.; Yin, X.; Centurioni, L.; Reul, Nicolas. |
We study the signature of rainfall on S1cm, the sea surface salinity retrieved from the Soil Moisture and Ocean Salinity (SMOS) satellite mission first by comparing SMOS S1cm with ARGO sea surface salinity measured at about 5 m depth in the Intertropical Convergence Zone (ITCZ) and in the Southern Pacific Convergence Zone; second by investigating spatial variability of SMOS S1cm related to rainfall. The resulting estimated S1cm decrease associated with rainfall occurring within less than 1 h from the salinity measurement is close to −0.2 pss (mm h−1) −1. We estimate that rain induced roughness and atmospheric effects are responsible for no more than 20% of this value. We also study the signature of rainfall on sea surface salinity measured by surface... |
Tipo: Text |
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Ano: 2014 |
URL: http://archimer.ifremer.fr/doc/00206/31735/30139.pdf |
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Tenerelli, Joseph; Reul, Nicolas; Mouche, Alexis; Chapron, Bertrand. |
The "galactic glitter" phenomenon at L-band, i.e., the scattering of celestial sky radiation by the rough ocean surface, is examined here as a potential source of error for sea surface salinity (SSS) remote sensing. We begin by considering the transformations that must be applied to downwelling celestial noise in order to compute the eventual impact on the antenna temperature. Then, outside the context of any particular measurement system, we use approximate scattering models along with a model for the equilibrium wind wave spectrum to examine how the scattered signal at the surface might depend on the geophysical conditions and scattering geometry. It is found that, when the specular point lies far away from the galactic plane, where the incident... |
Tipo: Text |
Palavras-chave: Scattering; Remote sensing; Radiometry. |
Ano: 2008 |
URL: http://archimer.ifremer.fr/doc/2008/publication-3922.pdf |
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Hwang, Paul A.; Reul, Nicolas; Meissner, Thomas; Yueh, Simon H.. |
Whitecaps manifest surface wave breaking that impacts many ocean processes, of which surface wind stress is the driving force. For close to a half century of quantitative whitecap reporting, only a small number of observations are obtained under conditions with wind speed exceeding 25 m/s. Whitecap contribution is a critical component of ocean surface microwave thermal emission. In the forward solution of microwave thermal emission, the input forcing parameter is wind speed, which is used to generate the modeled surface wind stress, surface wave spectrum, and whitecap coverage necessary for the subsequent electromagnetic (EM) computation. In this respect, microwave radiometer data can be used to evaluate various formulations of the drag coefficient,... |
Tipo: Text |
Palavras-chave: Wave breaking; Wind stress; Wind waves; Severe storms; Microwave observations; Satellite observations. |
Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00506/61757/65730.pdf |
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Bourassa, Mark A.; Meissner, Thomas; Cerovecki, Ivana; Chang, Paul S.; Dong, Xiaolong; De Chiara, Giovanna; Donlon, Craig; Dukhovskoy, Dmitry S.; Elya, Jocelyn; Fore, Alexander; Fewings, Melanie R.; Foster, Ralph C.; Gille, Sarah T.; Haus, Brian K.; Hristova-veleva, Svetla; Holbach, Heather M.; Jelenak, Zorana; Knaff, John A.; Kranz, Sven A.; Manaster, Andrew; Mazloff, Matthew; Mears, Carl; Mouche, Alexis; Portabella, Marcos; Reul, Nicolas; Ricciardulli, Lucrezia; Rodriguez, Ernesto; Sampson, Charles; Solis, Daniel; Stoffelen, Ad; Stukel, Michael R.; Stiles, Bryan; Weissman, David; Wentz, Frank. |
Strengths and weakness of remotely sensed winds are discussed, along with the current capabilities for remotely sensing winds and stress. Future missions are briefly mentioned. The observational needs for a wide range of wind and stress applications are provided. These needs strongly support a short list of desired capabilities of future missions and constellations. |
Tipo: Text |
Palavras-chave: Satellite; Wind; Stress; Ocean; Requirements. |
Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00511/62312/66565.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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Kudryavtsev, Vladimir; Monzikova, Anna; Combot, Clement; Chapron, Bertrand; Reul, Nicolas; Quilfen, Yves. |
Changes of sea surface temperature (SST) and height (SSH) derived from 20‐days passive microwave and altimeter measurements for three tropical cyclones (TCs), Jimena, Ignacio and Kilo, during the 2015 Pacific hurricane season, sampling different stages of intensification, wind speeds, radii, Coriolis parameter, translation velocities, and ocean stratification conditions, are reported and analyzed. As triggered along the path of moving TCs, very large interior ocean displacements can occur to leave prominent SSH anomalies in the TC wake. Resulting surface depressions can reach.3‐.5 m, depending upon size, translation speed, and ocean stratification conditions. These signatures can be quite persistent, i.e. more than few weeks, to possibly be intercepted... |
Tipo: Text |
Palavras-chave: Tropical cyclones; Surface temperature anomalies; Surface height anomalies. |
Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00491/60252/63653.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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Guimbard, Sebastien; Reul, Nicolas; Chapron, Bertrand; Umbert, M.; Maes, C.. |
The Eastern Pacific Fresh Pool (EPFP) is a large region of low Sea Surface Salinity (SSS) defined by values lower than 34 practical salinity scale within [5°S-30°N, 75°W-180°W]. The fresh pool dynamically responds to strong regional and seasonally varying ocean-atmosphere-land interactions (including monsoon rain, trade and gap winds and strong currents). Using more than five years of Soil Moisture and Ocean Salinity (SMOS) satellite sea surface salinity (SSS) and complementary satellite wind, rain, currents, and sea surface temperature data together with a historical ensemble of in situ products, the present study explores the seasonal and interannual dynamics of the fresh pool over the period 2004-2015. An important interannual variability of the maximal... |
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Ano: 2017 |
URL: http://archimer.ifremer.fr/doc/00371/48245/48380.pdf |
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Sabia, Roberto; Camps, A; Vall Ilossera, M; Reul, Nicolas. |
Aiming to provide sea surface salinity (SSS) maps with a spatiotemporal averaged accuracy of 0.1 psu (practical salinity units), the Soil Moisture and Ocean Salinity (SMOS) community is increasingly focusing on the determination of a robust inversion scheme to enable SSS retrieval from L-band brightness temperature data. In the framework of the Synergetic Aspects and Auxiliary Data Concepts for Sea Surface Salinity Measurements from Space project, efforts have been oriented toward a quantitative analysis of SSS retrieval using different auxiliary data sets. This paper aims to contribute to the assessment of the SMOS salinity retrieval error budget in view of the upcoming SMOS mission ground segment development. Aiming to do that, different models and... |
Tipo: Text |
Palavras-chave: Spatiotemporal averaging; Sea salinity; Microwave radiometry; Auxiliary data. |
Ano: 2006 |
URL: http://archimer.ifremer.fr/doc/2006/publication-2011.pdf |
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Reul, Nicolas; Chapron, Bertrand; Zabolotskikh, E.; Donlon, C.; Quilfen, Yves; Guimbard, Sebastien; Piolle, Jean-francois. |
Five years of SMOS L-band brightness temperature data intercepting a large number of tropical cyclones (TCs) are analyzed. The storm-induced half-power radio-brightness contrast (ΔI) is defined as the difference between the brightness observed at a specific wind force and that for a smooth water surface with the same physical parameters. ΔI can be related to surface wind speed and has been estimated for ~ 300 TCs that intercept with SMOS measurements. ΔI, expressed in a common storm-centric coordinate system, shows that mean brightness contrast monotonically increases with increased storm intensity ranging from ~ 5 K for strong storms to ~ 24 K for the most intense Category 5 TCs. A remarkable feature of the 2D mean ΔI fields and their variability is that... |
Tipo: Text |
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Ano: 2016 |
URL: https://archimer.ifremer.fr/doc/00324/43542/43178.pdf |
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Salisbury, J.; Vandemark, D.; Campbell, J.; Hunt, C.; Wisser, D.; Reul, Nicolas; Chapron, Bertrand. |
The temporal evolution and spatial distribution of surface salinity and colored detrital matter (cdm) were evaluated within and adjacent to the Amazon River Plume. Study objectives were as follows: first, to document the spatial coherence between Amazon discharge, salinity, cdm, and the nature of the salinity-cdm relationship; second, to document the temporal and spatial variability of cdm along the trajectory of the low-salinity Amazon Plume, and third, to explore the departure of cdm from conservative mixing behavior along the plume trajectory into the open ocean. Time series (2003-2007) of surface salinity estimated using the Advanced Microwave Scanning Radiometer-Earth Observing System and corresponding satellite cdm absorption (acdm) data documented a... |
Tipo: Text |
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Ano: 2011 |
URL: http://archimer.ifremer.fr/doc/00041/15218/12593.pdf |
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Kerr, Yann H.; Waldteufel, Philippe; Wigneron, Jean-pierre; Delwart, Steven; Cabot, Francois; Boutin, Jacqueline; Escorihuela, Maria-jose; Font, Jordi; Reul, Nicolas; Gruhier, Claire; Juglea, Silvia Enache; Drinkwater, Mark R.; Hahne, Achim; Martin-neira, Manuel; Mecklenburg, Susanne. |
It is now well understood that data on soil moisture and sea surface salinity (SSS) are required to improve meteorological and climate predictions. These two quantities are not yet available globally or with adequate temporal or spatial sampling. It is recognized that a spaceborne L-band radiometer with a suitable antenna is the most promising way of fulfilling this gap. With these scientific objectives and technical solution at the heart of a proposed mission concept the European Space Agency (ESA) selected the Soil Moisture and Ocean Salinity (SMOS) mission as its second Earth Explorer Opportunity Mission. The development of the SMOS mission was led by ESA in collaboration with the Centre National d'Etudes Spatiales (CNES) in France and the Centro para... |
Tipo: Text |
Palavras-chave: Interferometry; L-band; Sea surface salinity (SSS); Soil moisture; Soil Moisture and Ocean Salinity (SMOS); Vegetation water content. |
Ano: 2010 |
URL: http://archimer.ifremer.fr/doc/00004/11483/8065.pdf |
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Registros recuperados: 58 | |
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