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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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| Le Traon, Pierre-yves; Antoine, D.; Bentamy, Abderrahim; Bonekamp, H.; Breivik, L. A.; Chapron, Bertrand; Corlett, G.; Dibarboure, G.; Digiacomo, P.; Donlon, C.; Faugere, Y.; Font, J.; Girard-ardhuin, Fanny; Gohin, Francis; Johannessen, J. A.; Kamachi, M.; Lagerloef, G.; Lambin, J.; Larnicol, Gilles; Le Borgne, P.; Leuliette, E.; Lindstrom, E.; Martin, M. J.; Maturi, E.; Miller, L.; Mingsen, L.; Morrow, R.; Reul, Nicolas; Rio, Myriam; Roquet, H.; Santoleri, R.; Wilkin, J.. |
| The paper gives an overview of the development of satellite oceanography over the past five years focusing on the most relevant issues for operational oceanography. Satellites provide key essential variables to constrain ocean models and/or serve downstream applications. New and improved satellite data sets have been developed and have directly improved the quality of operational products. The status of the satellite constellation for the last five years was, however, not optimal. Review of future missions shows clear progress and new research and development missions with a potentially large impact for operational oceanography should be demonstrated. Improvement of data assimilation techniques and developing synergetic use of high resolution satellite... |
| Tipo: Text |
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| Ano: 2015 |
URL: http://archimer.ifremer.fr/doc/00270/38094/36245.pdf |
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| Goddijn-murphy, L. M.; Woolf, D. K.; Land, P. E.; Shutler, J. D.; Donlon, C.. |
| Climatologies, or long-term averages, of essential climate variables are useful for evaluating models and providing a baseline for studying anomalies. The Surface Ocean CO2 Atlas (SOCAT) has made millions of global underway sea surface measurements of CO2 publicly available, all in a uniform format and presented as fugacity, f(CO2). As f(CO2) is highly sensitive to temperature, the measurements are only valid for the instantaneous sea surface temperature (SST) that is measured concurrently with the in-water CO2 measurement. To create a climatology of f(CO2) data suitable for calculating air-sea CO2 fluxes, it is therefore desirable to calculate f(CO2) valid for a more consistent and averaged SST. This paper presents the OceanFlux Greenhouse Gases... |
| Tipo: Text |
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| Ano: 2015 |
URL: https://archimer.ifremer.fr/doc/00293/40375/38953.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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| Reul, Nicolas; Chapron, Bertrand; Zabolotskikh, E.; Donlon, C.; Mouche, Alexis; Tenerelli, Joseph; Collard, F.; Piolle, Jean-francois; Fore, A.; Yueh, S.; Cotton, J.; Francis, P.; Quilfen, Yves; Kudryavtsev, V.. |
| Combined microwave brightness temperature measurements from recent L- and dual C-band satellite radiometers provide new estimates of surface wind speed structure in Tropical Cyclones which enhances temporal sampling capability for gale (34-knots), damaging (50-knots) and destructive (64-knots) wind radii. Wind radii estimates in Tropical Cyclones (TC) are crucial to help determine the TC wind structure for the production of effective warnings and to constrain initial conditions for a number of applications. In that context, we report on the capabilities of a new generation of satellite microwave radiometers operating at L-band frequency (~1.4 GHz) and dual C-band (~6.9 and 7.3 GHz). These radiometers provide wide swath (> 1000 km) coverage at a spatial... |
| Tipo: Text |
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| Ano: 2017 |
URL: http://archimer.ifremer.fr/doc/00376/48758/49151.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... |
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| Ano: 2016 |
URL: https://archimer.ifremer.fr/doc/00324/43542/43178.pdf |
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