Assessment of SMOS measurements of Arctic Sea Ice Concentration
7th International Workshop on Sea Ice Data Assimilation and Verification, 5-7 April 2016, Frascati, Italy.-- 2 pages The launch of the Soil Moisture and Ocean Salinity (SMOS) mission, in 2009, marked the dawn of a new type of space-based microwave observations. Although the mission was originally co...
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ftcsic:oai:digital.csic.es:10261/170935 2024-02-11T10:01:44+01:00 Assessment of SMOS measurements of Arctic Sea Ice Concentration Gabarró, Carolina Turiel, Antonio Portabella, Marcos Elosegui, Pedro Olmedo, Estrella 2016-04-05 http://hdl.handle.net/10261/170935 unknown European Space Agency Sí 7th International Workshop on Sea Ice Data Assimilation and Verification : Abstract book: 4-5 (2016) http://hdl.handle.net/10261/170935 open comunicación de congreso http://purl.org/coar/resource_type/c_5794 2016 ftcsic 2024-01-16T10:33:25Z 7th International Workshop on Sea Ice Data Assimilation and Verification, 5-7 April 2016, Frascati, Italy.-- 2 pages The launch of the Soil Moisture and Ocean Salinity (SMOS) mission, in 2009, marked the dawn of a new type of space-based microwave observations. Although the mission was originally conceived for hydrological and oceanographic studies [1,2], SMOS is also making inroads in the cryospheric sciences. SMOS carries an L-band (1.4 GHz, or 21-cm wavelength), passive interferometric radiometer (the so-called MIRAS) that measures the electromagnetic radiation emitted by the Earth’s surface, at about 50 km spatial resolution, full polarization, continuous multi-angle viewing, large wide swath (1200-km), and with a 3-day revisit time at the equator, but more frequently at the poles. A significant difference of the L-band microwave radiometers with respect to higher frequency radiometers, such as SSMI/AMSR-E/AMSR-2, is that the former can also “see through the ice.” That is because ice is more transparent (i.e., optically thinner) at 1.4 GHz than at higher frequencies (19-89 GHz). In radiometric terms, the brightness temperature measured by an L-band antenna radiometer does not correspond to the emissivity of the topmost surface layer but of a larger range of deeper layers within the ice (about 60 cm, depending on ice conditions). Thanks to that increased penetration in the medium, L-band radiometers can provide, for the first time, thin ice thickness from space [3, 4]. A novel radiometric method to determine sea ice concentration (SIC) is presented. The method exploits the distinctive radiative properties of sea ice and seawater when observed at low microwave frequencies and from a range of incidence angles, to discern both media. The Bayesian-based Maximum Likelihood Estimation (MLE) approach is used to retrieve SIC. The advantage of this approach with respect to the classical linear inversion is that the former takes into account the uncertainty of the tie-point measured data in addition to the mean ... Conference Object Arctic Sea ice Digital.CSIC (Spanish National Research Council) Arctic |
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Digital.CSIC (Spanish National Research Council) |
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7th International Workshop on Sea Ice Data Assimilation and Verification, 5-7 April 2016, Frascati, Italy.-- 2 pages The launch of the Soil Moisture and Ocean Salinity (SMOS) mission, in 2009, marked the dawn of a new type of space-based microwave observations. Although the mission was originally conceived for hydrological and oceanographic studies [1,2], SMOS is also making inroads in the cryospheric sciences. SMOS carries an L-band (1.4 GHz, or 21-cm wavelength), passive interferometric radiometer (the so-called MIRAS) that measures the electromagnetic radiation emitted by the Earth’s surface, at about 50 km spatial resolution, full polarization, continuous multi-angle viewing, large wide swath (1200-km), and with a 3-day revisit time at the equator, but more frequently at the poles. A significant difference of the L-band microwave radiometers with respect to higher frequency radiometers, such as SSMI/AMSR-E/AMSR-2, is that the former can also “see through the ice.” That is because ice is more transparent (i.e., optically thinner) at 1.4 GHz than at higher frequencies (19-89 GHz). In radiometric terms, the brightness temperature measured by an L-band antenna radiometer does not correspond to the emissivity of the topmost surface layer but of a larger range of deeper layers within the ice (about 60 cm, depending on ice conditions). Thanks to that increased penetration in the medium, L-band radiometers can provide, for the first time, thin ice thickness from space [3, 4]. A novel radiometric method to determine sea ice concentration (SIC) is presented. The method exploits the distinctive radiative properties of sea ice and seawater when observed at low microwave frequencies and from a range of incidence angles, to discern both media. The Bayesian-based Maximum Likelihood Estimation (MLE) approach is used to retrieve SIC. The advantage of this approach with respect to the classical linear inversion is that the former takes into account the uncertainty of the tie-point measured data in addition to the mean ... |
format |
Conference Object |
author |
Gabarró, Carolina Turiel, Antonio Portabella, Marcos Elosegui, Pedro Olmedo, Estrella |
spellingShingle |
Gabarró, Carolina Turiel, Antonio Portabella, Marcos Elosegui, Pedro Olmedo, Estrella Assessment of SMOS measurements of Arctic Sea Ice Concentration |
author_facet |
Gabarró, Carolina Turiel, Antonio Portabella, Marcos Elosegui, Pedro Olmedo, Estrella |
author_sort |
Gabarró, Carolina |
title |
Assessment of SMOS measurements of Arctic Sea Ice Concentration |
title_short |
Assessment of SMOS measurements of Arctic Sea Ice Concentration |
title_full |
Assessment of SMOS measurements of Arctic Sea Ice Concentration |
title_fullStr |
Assessment of SMOS measurements of Arctic Sea Ice Concentration |
title_full_unstemmed |
Assessment of SMOS measurements of Arctic Sea Ice Concentration |
title_sort |
assessment of smos measurements of arctic sea ice concentration |
publisher |
European Space Agency |
publishDate |
2016 |
url |
http://hdl.handle.net/10261/170935 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_relation |
Sí 7th International Workshop on Sea Ice Data Assimilation and Verification : Abstract book: 4-5 (2016) http://hdl.handle.net/10261/170935 |
op_rights |
open |
_version_ |
1790597539330785280 |