Arctic Sea Surface Salinity Retrieval from Smos Measures
IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019), 28 July - 2 August 2019, Yokohama, Japan.-- 4 pages, 5 figures
Saved in:
Main Authors: | , , , , , , , , |
---|---|
Format: | capítulo de libro biblioteca |
Published: |
Institute of Electrical and Electronics Engineers
2019-07
|
Subjects: | Sea surface salinity, Arctic, SMOS, Remote sensing, Big data, |
Online Access: | http://hdl.handle.net/10261/205493 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
dig-icm-es-10261-205493 |
---|---|
record_format |
koha |
spelling |
dig-icm-es-10261-2054932022-11-04T16:49:30Z Arctic Sea Surface Salinity Retrieval from Smos Measures Martínez, Justino Gabarró, Carolina Olmedo, Estrella González Gambau, Verónica Turiel, Antonio González-Haro, Cristina Sabia, Roberto Tang, Wenqing Yueh, Simon Sea surface salinity Arctic SMOS Remote sensing Big data IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019), 28 July - 2 August 2019, Yokohama, Japan.-- 4 pages, 5 figures Arctic freshwater fluxes make this region key to regulate ocean currents and global climate. Hence, the Arctic Ocean sea surface salinity (SSS) knowledge is crucial to describe some of the processes that govern climate change.Recently, Barcelona Expert Center (BEC) deployed their version 2 of SSS Arctic data retrieved from Soil Moisture and Ocean Salinity mission (SMOS) mission. Nevertheless, in the context of the ESA Arctic+ initiative, BEC has planned to introduce improvements in all the processing levels. Some of the planned improvements include: (i) optimizing the projection grid of level 1, (ii) studying the performance of different dielectric models in the Artic region and (iii) producing an additional level 4 product. The SSS Arctic products from Soil Moisture Active Passive (SMAP) mission could be used to produce a level 4 by merging them with this new version of SSS level 3 produced from SMOS.Big data techniques are applied to produce debiased SSS maps. These techniques will be refined by introducing a new grouping method for the statistical study of the data.The aim of this work is to obtain a more accurate version of the Arctic salinity maps starting at 2011. The new SMOS SSS maps are expected to better capture the Arctic river plumes and thus they will help to better understand the freshwater inflow/outflow in the Arctic Ocean 2020-03-27T11:23:29Z 2020-03-27T11:23:29Z 2019-07 2020-03-27T11:23:29Z capítulo de libro http://purl.org/coar/resource_type/c_3248 isbn: 978-1-5386-9154-0 issn: 2153-7003 IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium : Proceedings: 8154-8157 (2019) http://hdl.handle.net/10261/205493 10.1109/IGARSS.2019.8898773 Postprint https://doi.org/10.1109/IGARSS.2019.8898773 Sí open Institute of Electrical and Electronics Engineers |
institution |
ICM ES |
collection |
DSpace |
country |
España |
countrycode |
ES |
component |
Bibliográfico |
access |
En linea |
databasecode |
dig-icm-es |
tag |
biblioteca |
region |
Europa del Sur |
libraryname |
Biblioteca del ICM España |
topic |
Sea surface salinity Arctic SMOS Remote sensing Big data Sea surface salinity Arctic SMOS Remote sensing Big data |
spellingShingle |
Sea surface salinity Arctic SMOS Remote sensing Big data Sea surface salinity Arctic SMOS Remote sensing Big data Martínez, Justino Gabarró, Carolina Olmedo, Estrella González Gambau, Verónica Turiel, Antonio González-Haro, Cristina Sabia, Roberto Tang, Wenqing Yueh, Simon Arctic Sea Surface Salinity Retrieval from Smos Measures |
description |
IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019), 28 July - 2 August 2019, Yokohama, Japan.-- 4 pages, 5 figures |
format |
capítulo de libro |
topic_facet |
Sea surface salinity Arctic SMOS Remote sensing Big data |
author |
Martínez, Justino Gabarró, Carolina Olmedo, Estrella González Gambau, Verónica Turiel, Antonio González-Haro, Cristina Sabia, Roberto Tang, Wenqing Yueh, Simon |
author_facet |
Martínez, Justino Gabarró, Carolina Olmedo, Estrella González Gambau, Verónica Turiel, Antonio González-Haro, Cristina Sabia, Roberto Tang, Wenqing Yueh, Simon |
author_sort |
Martínez, Justino |
title |
Arctic Sea Surface Salinity Retrieval from Smos Measures |
title_short |
Arctic Sea Surface Salinity Retrieval from Smos Measures |
title_full |
Arctic Sea Surface Salinity Retrieval from Smos Measures |
title_fullStr |
Arctic Sea Surface Salinity Retrieval from Smos Measures |
title_full_unstemmed |
Arctic Sea Surface Salinity Retrieval from Smos Measures |
title_sort |
arctic sea surface salinity retrieval from smos measures |
publisher |
Institute of Electrical and Electronics Engineers |
publishDate |
2019-07 |
url |
http://hdl.handle.net/10261/205493 |
work_keys_str_mv |
AT martinezjustino arcticseasurfacesalinityretrievalfromsmosmeasures AT gabarrocarolina arcticseasurfacesalinityretrievalfromsmosmeasures AT olmedoestrella arcticseasurfacesalinityretrievalfromsmosmeasures AT gonzalezgambauveronica arcticseasurfacesalinityretrievalfromsmosmeasures AT turielantonio arcticseasurfacesalinityretrievalfromsmosmeasures AT gonzalezharocristina arcticseasurfacesalinityretrievalfromsmosmeasures AT sabiaroberto arcticseasurfacesalinityretrievalfromsmosmeasures AT tangwenqing arcticseasurfacesalinityretrievalfromsmosmeasures AT yuehsimon arcticseasurfacesalinityretrievalfromsmosmeasures |
_version_ |
1777667162046988288 |