Sea Ice and Atmospheric Parameter Retrieval From Satellite Microwave Radiometers: Synergy of AMSR2 and SMOS Compared With the CIMR Candidate Mission

Research on improving the prediction skill of climate models requires refining the quality of observational data used for initializing and tuning the models. This is especially true in the Polar Regions where uncertainties about the interactions between sea ice, ocean and atmosphere are driving ongo...

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Published in:Journal of Geophysical Research: Oceans
Main Authors: Scarlat, Raul Cristian, Spreen, Gunnar, Heygster, Georg, Huntemann, Marcus, Paţilea, Cătălin, Pedersen, Leif Toudal, Saldo, Roberto
Format: Article in Journal/Newspaper
Language:English
Published: 2020
Subjects:
Online Access:https://orbit.dtu.dk/en/publications/54044458-605e-42cd-8bd2-44be7abea1cf
https://doi.org/10.1029/2019jc015749
https://backend.orbit.dtu.dk/ws/files/210404749/2019JC015749.pdf
id ftdtupubl:oai:pure.atira.dk:publications/54044458-605e-42cd-8bd2-44be7abea1cf
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spelling ftdtupubl:oai:pure.atira.dk:publications/54044458-605e-42cd-8bd2-44be7abea1cf 2024-09-09T19:27:41+00:00 Sea Ice and Atmospheric Parameter Retrieval From Satellite Microwave Radiometers: Synergy of AMSR2 and SMOS Compared With the CIMR Candidate Mission Scarlat, Raul Cristian Spreen, Gunnar Heygster, Georg Huntemann, Marcus Paţilea, Cătălin Pedersen, Leif Toudal Saldo, Roberto 2020 application/pdf https://orbit.dtu.dk/en/publications/54044458-605e-42cd-8bd2-44be7abea1cf https://doi.org/10.1029/2019jc015749 https://backend.orbit.dtu.dk/ws/files/210404749/2019JC015749.pdf eng eng https://orbit.dtu.dk/en/publications/54044458-605e-42cd-8bd2-44be7abea1cf info:eu-repo/semantics/openAccess Scarlat , R C , Spreen , G , Heygster , G , Huntemann , M , Paţilea , C , Pedersen , L T & Saldo , R 2020 , ' Sea Ice and Atmospheric Parameter Retrieval From Satellite Microwave Radiometers: Synergy of AMSR2 and SMOS Compared With the CIMR Candidate Mission ' , Journal of Geophysical Research: Oceans , vol. 125 , no. 3 , e2019JC015749 . https://doi.org/10.1029/2019jc015749 /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action /dk/atira/pure/sustainabledevelopmentgoals/life_below_water name=SDG 14 - Life Below Water article 2020 ftdtupubl https://doi.org/10.1029/2019jc015749 2024-07-22T23:50:05Z Research on improving the prediction skill of climate models requires refining the quality of observational data used for initializing and tuning the models. This is especially true in the Polar Regions where uncertainties about the interactions between sea ice, ocean and atmosphere are driving ongoing monitoring efforts. The Copernicus Imaging Microwave Radiometer (CIMR) is an European Space Agency (ESA) candidate mission which promises to offer high resolution, low uncertainty observation capabilities at the 1.4, 6.9,10.65,18.7 and 36.5 GHz frequencies. To assess the potential impact of CIMR for sea ice parameter retrieval, a comparison is made between retrievals based on present AMSR2 observations and a retrieval using future CIMR equivalent observations over a data set of validated sea ice concentration (SIC) values. An optimal estimation retrieval method (OEM) is used which can use input from different channel combinations to retrieve seven geophysical parameters (sea ice concentration, multi year ice fraction, ice surface temperature, columnar water vapor, liquid water path, over ocean wind speed and sea surface temperature). An advantage of CIMR over existing radiometers is that it would provide higher spatial resolution observations at the lower frequency channels (6.9, 10.65, 18.7 GHz) which are less sensitive to atmospheric influence. This enables the passive microwave based retrieval of SIC and other surface parameters with higher resolution and lower uncertainty than is currently possible. An information content analysis expands the comparison between AMSR2 and CIMR to all retrievable surface and atmospheric parameters. This analysis quantifies the contributions to the observed signal and highlights the differences between different input channel combinations. The higher resolution of the low frequency CIMR channels allow for unprecedented detail to be achieved in Arctic passive microwave sea ice retrievals. The presence of 1.4 GHz channels on board CIMR opens up the possibility for thin sea ice ... Article in Journal/Newspaper Arctic Sea ice Technical University of Denmark: DTU Orbit Arctic Journal of Geophysical Research: Oceans 125 3
institution Open Polar
collection Technical University of Denmark: DTU Orbit
op_collection_id ftdtupubl
language English
topic /dk/atira/pure/sustainabledevelopmentgoals/climate_action
name=SDG 13 - Climate Action
/dk/atira/pure/sustainabledevelopmentgoals/life_below_water
name=SDG 14 - Life Below Water
spellingShingle /dk/atira/pure/sustainabledevelopmentgoals/climate_action
name=SDG 13 - Climate Action
/dk/atira/pure/sustainabledevelopmentgoals/life_below_water
name=SDG 14 - Life Below Water
Scarlat, Raul Cristian
Spreen, Gunnar
Heygster, Georg
Huntemann, Marcus
Paţilea, Cătălin
Pedersen, Leif Toudal
Saldo, Roberto
Sea Ice and Atmospheric Parameter Retrieval From Satellite Microwave Radiometers: Synergy of AMSR2 and SMOS Compared With the CIMR Candidate Mission
topic_facet /dk/atira/pure/sustainabledevelopmentgoals/climate_action
name=SDG 13 - Climate Action
/dk/atira/pure/sustainabledevelopmentgoals/life_below_water
name=SDG 14 - Life Below Water
description Research on improving the prediction skill of climate models requires refining the quality of observational data used for initializing and tuning the models. This is especially true in the Polar Regions where uncertainties about the interactions between sea ice, ocean and atmosphere are driving ongoing monitoring efforts. The Copernicus Imaging Microwave Radiometer (CIMR) is an European Space Agency (ESA) candidate mission which promises to offer high resolution, low uncertainty observation capabilities at the 1.4, 6.9,10.65,18.7 and 36.5 GHz frequencies. To assess the potential impact of CIMR for sea ice parameter retrieval, a comparison is made between retrievals based on present AMSR2 observations and a retrieval using future CIMR equivalent observations over a data set of validated sea ice concentration (SIC) values. An optimal estimation retrieval method (OEM) is used which can use input from different channel combinations to retrieve seven geophysical parameters (sea ice concentration, multi year ice fraction, ice surface temperature, columnar water vapor, liquid water path, over ocean wind speed and sea surface temperature). An advantage of CIMR over existing radiometers is that it would provide higher spatial resolution observations at the lower frequency channels (6.9, 10.65, 18.7 GHz) which are less sensitive to atmospheric influence. This enables the passive microwave based retrieval of SIC and other surface parameters with higher resolution and lower uncertainty than is currently possible. An information content analysis expands the comparison between AMSR2 and CIMR to all retrievable surface and atmospheric parameters. This analysis quantifies the contributions to the observed signal and highlights the differences between different input channel combinations. The higher resolution of the low frequency CIMR channels allow for unprecedented detail to be achieved in Arctic passive microwave sea ice retrievals. The presence of 1.4 GHz channels on board CIMR opens up the possibility for thin sea ice ...
format Article in Journal/Newspaper
author Scarlat, Raul Cristian
Spreen, Gunnar
Heygster, Georg
Huntemann, Marcus
Paţilea, Cătălin
Pedersen, Leif Toudal
Saldo, Roberto
author_facet Scarlat, Raul Cristian
Spreen, Gunnar
Heygster, Georg
Huntemann, Marcus
Paţilea, Cătălin
Pedersen, Leif Toudal
Saldo, Roberto
author_sort Scarlat, Raul Cristian
title Sea Ice and Atmospheric Parameter Retrieval From Satellite Microwave Radiometers: Synergy of AMSR2 and SMOS Compared With the CIMR Candidate Mission
title_short Sea Ice and Atmospheric Parameter Retrieval From Satellite Microwave Radiometers: Synergy of AMSR2 and SMOS Compared With the CIMR Candidate Mission
title_full Sea Ice and Atmospheric Parameter Retrieval From Satellite Microwave Radiometers: Synergy of AMSR2 and SMOS Compared With the CIMR Candidate Mission
title_fullStr Sea Ice and Atmospheric Parameter Retrieval From Satellite Microwave Radiometers: Synergy of AMSR2 and SMOS Compared With the CIMR Candidate Mission
title_full_unstemmed Sea Ice and Atmospheric Parameter Retrieval From Satellite Microwave Radiometers: Synergy of AMSR2 and SMOS Compared With the CIMR Candidate Mission
title_sort sea ice and atmospheric parameter retrieval from satellite microwave radiometers: synergy of amsr2 and smos compared with the cimr candidate mission
publishDate 2020
url https://orbit.dtu.dk/en/publications/54044458-605e-42cd-8bd2-44be7abea1cf
https://doi.org/10.1029/2019jc015749
https://backend.orbit.dtu.dk/ws/files/210404749/2019JC015749.pdf
geographic Arctic
geographic_facet Arctic
genre Arctic
Sea ice
genre_facet Arctic
Sea ice
op_source Scarlat , R C , Spreen , G , Heygster , G , Huntemann , M , Paţilea , C , Pedersen , L T & Saldo , R 2020 , ' Sea Ice and Atmospheric Parameter Retrieval From Satellite Microwave Radiometers: Synergy of AMSR2 and SMOS Compared With the CIMR Candidate Mission ' , Journal of Geophysical Research: Oceans , vol. 125 , no. 3 , e2019JC015749 . https://doi.org/10.1029/2019jc015749
op_relation https://orbit.dtu.dk/en/publications/54044458-605e-42cd-8bd2-44be7abea1cf
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1029/2019jc015749
container_title Journal of Geophysical Research: Oceans
container_volume 125
container_issue 3
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