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...
Published in: | Journal of Geophysical Research: Oceans |
---|---|
Main Authors: | , , , , , , |
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 |
---|---|
record_format |
openpolar |
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 |
_version_ |
1809897074295046144 |