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Arctic Sea Surface Salinity Retrieval from Smos Measures

Justino Martinez, Carolina Gabarro, Estrella Olmedo, Veronica Gonzalez-Gambau, Cristina Gonzalez-Haro, Antonio Turiel, Roberto Sabia, Wenquing Tang, Simon Yueh
2019 IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium  
the dynamics of SMOS salinity with land and ocean freshwater fluxes (Greenland and glacier flows & rivers and E-P).  ...  Although the major features of the inter-annual SSS variations observed by the thermosalinographs are also captured by this version of the Arctic SMOS SSS maps, salinity gradients are only partially resolved  ...  This suggests a potential value of assimilating this product into the forthcoming Arctic reanalyses. Evaluation of Arctic Ocean surface salinities from SMOS and two CMEMS reanalyses against in-situ  ... 
doi:10.1109/igarss.2019.8898773 dblp:conf/igarss/MartinezGOGGTST19 fatcat:ogfd3ucjcvexzeewnoqh2pqyvy

Evaluation and Intercomparison of SMOS, Aquarius, and SMAP Sea Surface Salinity Products in the Arctic Ocean

Séverine Fournier, Tong Lee, Wenqing Tang, Michael Steele, Estrella Olmedo
2019 Remote Sensing  
This study presents the first systematic analysis of 6 commonly used sea surface salinity (SSS) products from the National Aeronautics and Space Administration (NASA) Aquarius and Soil Moisture Active  ...  Comparison of satellite SSS with in-situ salinity measurements along ship transects suggest that satellite SSS captures salinity gradients away from regions with significant sea-ice concentration.  ...  CTD data from the ONR SIZRS project http://psc.apl.uw.edu/research/projects/sizrs; Ignatius Rigor and Bonnie Light (PSC/APL/UW) and Victoria Hill (Old Dominion University) for temperature and salinity  ... 
doi:10.3390/rs11243043 fatcat:mx6luanrqrfvrpgjzucrlq4nha

SMOS derived sea ice thickness: algorithm baseline, product specifications and initial verification

X. Tian-Kunze, L. Kaleschke, N. Maaß, M. Mäkynen, N. Serra, M. Drusch, T. Krumpen
2013 The Cryosphere Discussions  
In addition, ice thickness variations within a SMOS footprint are considered through a statistical thickness distribution function derived from high-resolution ice thickness measurements from NASA's Operation  ...  This new algorithm has been used for the continuous operational production of a SMOS based sea ice thickness data set from 2010 on.  ...  Ice salinity can be estimated from the underlying sea surface salinity (SSS) with an empirical function (Ryvlin, 1974) .  ... 
doi:10.5194/tcd-7-5735-2013 fatcat:wjvtqh46qzhtre2qtwzc3ftyzm

SMOS-derived thin sea ice thickness: algorithm baseline, product specifications and initial verification

X. Tian-Kunze, L. Kaleschke, N. Maaß, M. Mäkynen, N. Serra, M. Drusch, T. Krumpen
2014 The Cryosphere  
In addition, ice thickness variations within the SMOS spatial resolution are considered through a statistical thickness distribution function derived from high-resolution ice thickness measurements from  ...  This new algorithm has been used for the continuous operational production of a SMOS-based sea ice thickness data set from 2010 on.  ...  JRA-25 reanalysis data are provided by the Japanese Meteorological Agency (JMA), the sea ice concentration data are provided by ICDC University of Hamburg, TOPAZ data are provided by Laurant Bertino from  ... 
doi:10.5194/tc-8-997-2014 fatcat:5fbpvq5sevb2zjkiw3rqenww2m

Seven Years of SMOS Sea Surface Salinity at High Latitudes: Variability in Arctic and Sub-Arctic Regions

Estrella Olmedo, Carolina Gabarró, Verónica González-Gambau, Justino Martínez, Joaquim Ballabrera-Poy, Antonio Turiel, Marcos Portabella, Severine Fournier, Tong Lee
2018 Remote Sensing  
This paper aims to present and assess the quality of seven years (2011–2017) of 25 km nine-day Soil Moisture and Ocean Salinity (SMOS) Sea Surface Salinity (SSS) objectively analyzed maps in the Arctic  ...  The standard deviation of the difference between the new SMOS SSS maps and Argo SSS ranges from 0.25 and 0.35.  ...  SMOS ESL L2OS, CCI+ SSS and Arctic+ SSS.  ... 
doi:10.3390/rs10111772 fatcat:7xvk5depkvbu3ihm7cvtmon7la

Improved BEC SMOS Arctic Sea Surface Salinity product v3.1

Justino Martínez, Carolina Gabarró, Antonio Turiel, Verónica González-Gambau, Marta Umbert, Nina Hoareau, Cristina González-Haro, Estrella Olmedo, Manuel Arias, Rafael Catany, Laurent Bertino, Roshin P. Raj (+3 others)
2022 Earth System Science Data  
Measuring salinity from space is challenging since the sensitivity of the brightness temperature (TB) to sea surface salinity (SSS) is low (about 0.5 K psu−1), while the SSS range in the open ocean is  ...  Due to this limitation, the ESA launched a specific initiative in 2019, the Arctic+Salinity project (AO/1-9158/18/I-BG), to produce an enhanced Arctic SSS product with better quality and resolution than  ...  The SMOS standard sea surface salinity (SSS) retrieval algorithm (Font et al., 2010; Mecklenburg et al., 2009; Olmedo et al., 2021) , as well as the algorithms used for SSS retrieval from Aquarius and  ... 
doi:10.5194/essd-14-307-2022 fatcat:iuw3p3qbwjbttchmrskmh65jey

Snow thickness retrieval over thick Arctic sea ice using SMOS satellite data

N. Maaß, L. Kaleschke, X. Tian-Kunze, M. Drusch
2013 The Cryosphere  
from SMOS data.  ...  </strong> The microwave interferometric radiometer of the European Space Agency's Soil Moisture and Ocean Salinity (SMOS) mission measures at a frequency of 1.4 GHz in the L-band.  ...  Ice concentration data retrieved from SSMIS measurements were provided by the Integrated Climate Data Center (ICDC), CliSAP/KlimaCampus, University of Hamburg, http://icdc.zmaw.de.  ... 
doi:10.5194/tc-7-1971-2013 fatcat:psgeffhburcmdjxonmqazknlp4

Snow thickness retrieval over thick Arctic sea ice using SMOS satellite data

N. Maaß, L. Kaleschke, X. Tian-Kunze, M. Drusch
2013 The Cryosphere Discussions  
The microwave interferometric radiometer of the European Space Agency's Soil Moisture and Ocean Salinity (SMOS) mission measures at a frequency of 1.4 GHz in the L-band.  ...  Here, we implement a snow layer in our emission model and investigate how snow influences Lband brightness temperatures and whether it is possible to retrieve snow thickness over thick Arctic sea ice from  ...  Ice concentration data retrieved from SSMIS measurements were provided by the Integrated Climate Data Center (ICDC), CliSAP/KlimaCampus, University of Hamburg, http://icdc.zmaw.de.  ... 
doi:10.5194/tcd-7-3627-2013 fatcat:amk5esth3bcgbhj7pl67jd24he

Editorial for the Special Issue "Sea Surface Salinity Remote Sensing"

Emmanuel Dinnat, Xiaobin Yin
2019 Remote Sensing  
This Special Issue gathers papers reporting research on various aspects of remote sensing of sea surface salinity (SSS) and the use of satellites SSS in oceanography.  ...  techniques for improved coastal SSS monitoring, high latitude SSS monitoring and assessment of ocean interactions with the cryosphere; and data fusion techniques combining SSS with sea surface temperature  ...  Introduction Sea surface salinity (SSS) is an essential climate variable [1] .  ... 
doi:10.3390/rs11111300 fatcat:6mwmimy2tbgcfij6eqwwb52qbu

Arctic sea ice signatures: L-band brightness temperature sensitivity comparison using two radiation transfer models

Friedrich Richter, Matthias Drusch, Lars Kaleschke, Nina Maaß, Xiangshan Tian-Kunze, Susanne Mecklenburg
2018 The Cryosphere  
L-band brightness temperatures from ESA's Earth Explorer SMOS (Soil Moisture and Ocean Salinity) have been proven to be a valuable tool to derive thin sea ice thickness.  ...  The simulations are then compared against actual SMOS measurements. The results indicate that both models are able to capture the general variability of measured brightness temperatures over sea ice.  ...  shape as observed from the SMOS measurements.  ... 
doi:10.5194/tc-12-921-2018 fatcat:lbg6p7i6nfeihgkvw6caa67axa

Circumpolar Thin Arctic Sea Ice Thickness and Small-Scale Roughness Retrieval Using Soil Moisture and Ocean Salinity and Soil Moisture Active Passive Observations

Suna Jo, Hyun-Cheol Kim, Young-Joo Kwon, Sungwook Hong
2019 Remote Sensing  
SMOS thin SIT and the SIR retrieved from SMAP.  ...  Satellite microwave remote sensing based on microwave reflection signals reflected by the sea ice surface has been playing an essential role in monitoring and analyzing the Arctic SIT and sea ice concentration  ...  sea ice surface temperatures from SMAP.  ... 
doi:10.3390/rs11232835 fatcat:y4pn4zm47zfyhf7r4wuw5tnymi

A sea ice thickness retrieval model for 1.4 GHz radiometry and application to airborne measurements over low salinity sea ice

L. Kaleschke, N. Maaß, C. Haas, S. Hendricks, G. Heygster, R. T. Tonboe
2009 The Cryosphere Discussions  
In preparation for the European Space Agency's (ESA) Soil Moisture and Ocean Salinity (SMOS) mission, we investigated the potential of L-band (1.4 GHz) radiometry to measure sea-ice thickness.  ...  Sea-ice brightness temperature was measured at 1.4 GHz and ice thickness was measured along nearly coincident flight tracks during the SMOS Sea-Ice campaign in the Bay of Bothnia in March 2007.  ...  Their main objectives are to provide global measurements of soil moisture over land and sea surface salinity over ocean from L-band (frequency f =1.4 GHz; wavelength λ=21 cm) radiometric observations.  ... 
doi:10.5194/tcd-3-995-2009 fatcat:eaow3u4quzawjpd5mandiev5q4

A sea-ice thickness retrieval model for 1.4 GHz radiometry and application to airborne measurements over low salinity sea-ice

L. Kaleschke, N. Maaß, C. Haas, S. Hendricks, G. Heygster, R. T. Tonboe
2010 The Cryosphere  
In preparation for the European Space Agency's (ESA) Soil Moisture and Ocean Salinity (SMOS) mission, we investigated the potential of L-band (1.4 GHz) radiometry to measure sea-ice thickness.  ...  Sea-ice brightness temperature was measured at 1.4 GHz and ice thickness was measured along nearly coincident flight tracks during the SMOS Sea-Ice campaign in the Bay of Bothnia in March 2007.  ...  Their main objectives are to provide global measurements of soil moisture over land and sea surface salinity over ocean from L-band (frequency f =1.4 GHz; wavelength λ=21 cm) radiometric observations.  ... 
doi:10.5194/tc-4-583-2010 fatcat:4oiserg4cbek7mhamqsagyue5y

Variability and Uncertainty of Satellite Sea Surface Salinity in the Subpolar North Atlantic (2010–2019)

Lisan Yu
2020 Remote Sensing  
Satellite remote sensing of sea surface salinity (SSS) in the recent decade (2010-2019) has proven the capability of L-band (1.4 GHz) measurements to resolve SSS spatiotemporal variability in the tropical  ...  Satellite SSS products have difficulty producing the right annual cycle, particularly in the Labrador/Irminger seas where the SSS seasonality is dictated by the influx of Arctic low-salinity waters along  ...  The author sincerely thanks the data producers for making satellite SSS datasets publicly available: the SMOS LOCEAN L3 Debiased products (https://www.catds.fr/Products/Available-products-from-CEC-OS/CEC-Locean-L3  ... 
doi:10.3390/rs12132092 fatcat:p54nioy2vzh5pmi3wox5tyadde

Properties of surface water masses in the Laptev and the East Siberian seas in summer 2018 from in situ and satellite data

Anastasiia Tarasenko, Alexandre Supply, Nikita Kusse-Tiuz, Vladimir Ivanov, Mikhail Makhotin, Jean Tournadre, Bertrand Chapron, Jacqueline Boutin, Nicolas Kolodziejczyk, Gilles Reverdin
2021 Ocean Science (OS)  
The estimation of SSS fields is challenging in high-latitude regions, and the precision of soil moisture and ocean salinity (SMOS) SSS retrieval is improved by applying a threshold on SSS weekly error.  ...  In situ data were collected during the ARKTIKA-2018 expedition and then complemented with satellite-derived sea surface temperature (SST), salinity (SSS), sea surface height, wind speed, and sea ice concentration  ...  We thank Jean-Luc Vergely for fruitful discussions about SMOS SSS data filtering in the Arctic ocean.  ... 
doi:10.5194/os-17-221-2021 fatcat:cpudyf6qzfef7kt663a3ox7twa
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