Unraveling atmosphere and sea ice in the Arctic : advancements in a multi-parameter retrieval using satellite microwave radiometer data
The Arctic undergoes accelerated warming compared to Global Warming, known as Arctic amplification. To understand this phenomenon, studying key variables at various scales is crucial. Every day, satellite radiometers measure Arctic-wide emissions of microwave radiation in terms of brightness tempera...
Main Author: | |
---|---|
Other Authors: | , |
Format: | Doctoral or Postdoctoral Thesis |
Language: | English |
Published: |
Universität Bremen
2024
|
Subjects: | |
Online Access: | https://media.suub.uni-bremen.de/handle/elib/7903 https://doi.org/10.26092/elib/2966 https://nbn-resolving.org/urn:nbn:de:gbv:46-elib79039 |
id |
ftsubbremen:oai:media.suub.uni-bremen.de:Publications/elib/7903 |
---|---|
record_format |
openpolar |
spelling |
ftsubbremen:oai:media.suub.uni-bremen.de:Publications/elib/7903 2024-06-02T08:01:11+00:00 Unraveling atmosphere and sea ice in the Arctic : advancements in a multi-parameter retrieval using satellite microwave radiometer data Rückert, Janna Elisabeth Spreen, Gunnar Crewell, Susanne 2024-04-12 application/pdf https://media.suub.uni-bremen.de/handle/elib/7903 https://doi.org/10.26092/elib/2966 https://nbn-resolving.org/urn:nbn:de:gbv:46-elib79039 eng eng Universität Bremen Fachbereich 01: Physik/Elektrotechnik (FB 01) https://media.suub.uni-bremen.de/handle/elib/7903 https://doi.org/10.26092/elib/2966 doi:10.26092/elib/2966 urn:nbn:de:gbv:46-elib79039 info:eu-repo/semantics/openAccess CC BY 4.0 (Attribution) https://creativecommons.org/licenses/by/4.0/ Arctic Sea Ice Microwave Remote Sensing Retrieval Algorithm Water Vapor Inverse Methods Microwave Emission Modeling Satellite Remote sensing 530 530 Physics ddc:530 Dissertation doctoralThesis 2024 ftsubbremen https://doi.org/10.26092/elib/2966 2024-05-06T10:43:25Z The Arctic undergoes accelerated warming compared to Global Warming, known as Arctic amplification. To understand this phenomenon, studying key variables at various scales is crucial. Every day, satellite radiometers measure Arctic-wide emissions of microwave radiation in terms of brightness temperatures. We use the distinct sensitivities of observations at different frequencies to atmospheric and surface parameters, aiming to disentangle the satellite signal and improve a multi-parameter retrieval. The retrieval involves inverting a forward model with an optimal estimation method to attribute satellite measurements (6.9 to 89 GHz) to a specific geophysical state. For that, surface emissions need to be well represented in the forward model. We study surface emissions by considering the theoretical concept of emissivity followed by an analysis of brightness temperature measurements and derived emissivities that we obtained during a summer ship campaign. In a case study, we examine the impact of changing surface emissions caused by warm air intrusions on sea ice concentration (SIC) satellite retrievals. We improve the multi-parameter retrieval by a better representation of the sea ice and snow emissions in the forward model for non-melting conditions. Both forward model and retrieval are evaluated against ground truth, including MOSAiC expedition data. The forward model succeeds in simulating realistic brightness temperatures. The retrieval output agrees well with reference data with regard to SIC. While the retrieval of cloud liquid water path and snow depth are promising, some disagreements are identified. Focusing on atmospheric total water vapor, our analysis demonstrates a good agreement with numerous reference datasets. We find a substantial improvement over the previous version of the method. After applying the retrieval to satellite data from the last two decades we further analyze the spatio-temporal variability of atmospheric water vapor in winter. Doctoral or Postdoctoral Thesis Arctic Global warming Sea ice Media SuUB Bremen (Staats- und Universitätsbibliothek Bremen) Arctic |
institution |
Open Polar |
collection |
Media SuUB Bremen (Staats- und Universitätsbibliothek Bremen) |
op_collection_id |
ftsubbremen |
language |
English |
topic |
Arctic Sea Ice Microwave Remote Sensing Retrieval Algorithm Water Vapor Inverse Methods Microwave Emission Modeling Satellite Remote sensing 530 530 Physics ddc:530 |
spellingShingle |
Arctic Sea Ice Microwave Remote Sensing Retrieval Algorithm Water Vapor Inverse Methods Microwave Emission Modeling Satellite Remote sensing 530 530 Physics ddc:530 Rückert, Janna Elisabeth Unraveling atmosphere and sea ice in the Arctic : advancements in a multi-parameter retrieval using satellite microwave radiometer data |
topic_facet |
Arctic Sea Ice Microwave Remote Sensing Retrieval Algorithm Water Vapor Inverse Methods Microwave Emission Modeling Satellite Remote sensing 530 530 Physics ddc:530 |
description |
The Arctic undergoes accelerated warming compared to Global Warming, known as Arctic amplification. To understand this phenomenon, studying key variables at various scales is crucial. Every day, satellite radiometers measure Arctic-wide emissions of microwave radiation in terms of brightness temperatures. We use the distinct sensitivities of observations at different frequencies to atmospheric and surface parameters, aiming to disentangle the satellite signal and improve a multi-parameter retrieval. The retrieval involves inverting a forward model with an optimal estimation method to attribute satellite measurements (6.9 to 89 GHz) to a specific geophysical state. For that, surface emissions need to be well represented in the forward model. We study surface emissions by considering the theoretical concept of emissivity followed by an analysis of brightness temperature measurements and derived emissivities that we obtained during a summer ship campaign. In a case study, we examine the impact of changing surface emissions caused by warm air intrusions on sea ice concentration (SIC) satellite retrievals. We improve the multi-parameter retrieval by a better representation of the sea ice and snow emissions in the forward model for non-melting conditions. Both forward model and retrieval are evaluated against ground truth, including MOSAiC expedition data. The forward model succeeds in simulating realistic brightness temperatures. The retrieval output agrees well with reference data with regard to SIC. While the retrieval of cloud liquid water path and snow depth are promising, some disagreements are identified. Focusing on atmospheric total water vapor, our analysis demonstrates a good agreement with numerous reference datasets. We find a substantial improvement over the previous version of the method. After applying the retrieval to satellite data from the last two decades we further analyze the spatio-temporal variability of atmospheric water vapor in winter. |
author2 |
Spreen, Gunnar Crewell, Susanne |
format |
Doctoral or Postdoctoral Thesis |
author |
Rückert, Janna Elisabeth |
author_facet |
Rückert, Janna Elisabeth |
author_sort |
Rückert, Janna Elisabeth |
title |
Unraveling atmosphere and sea ice in the Arctic : advancements in a multi-parameter retrieval using satellite microwave radiometer data |
title_short |
Unraveling atmosphere and sea ice in the Arctic : advancements in a multi-parameter retrieval using satellite microwave radiometer data |
title_full |
Unraveling atmosphere and sea ice in the Arctic : advancements in a multi-parameter retrieval using satellite microwave radiometer data |
title_fullStr |
Unraveling atmosphere and sea ice in the Arctic : advancements in a multi-parameter retrieval using satellite microwave radiometer data |
title_full_unstemmed |
Unraveling atmosphere and sea ice in the Arctic : advancements in a multi-parameter retrieval using satellite microwave radiometer data |
title_sort |
unraveling atmosphere and sea ice in the arctic : advancements in a multi-parameter retrieval using satellite microwave radiometer data |
publisher |
Universität Bremen |
publishDate |
2024 |
url |
https://media.suub.uni-bremen.de/handle/elib/7903 https://doi.org/10.26092/elib/2966 https://nbn-resolving.org/urn:nbn:de:gbv:46-elib79039 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Global warming Sea ice |
genre_facet |
Arctic Global warming Sea ice |
op_relation |
https://media.suub.uni-bremen.de/handle/elib/7903 https://doi.org/10.26092/elib/2966 doi:10.26092/elib/2966 urn:nbn:de:gbv:46-elib79039 |
op_rights |
info:eu-repo/semantics/openAccess CC BY 4.0 (Attribution) https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.26092/elib/2966 |
_version_ |
1800745487730475008 |