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  4. Reducing Weather Influences on Sea Ice Concentration Retrieval using Spaceborne 89 GHz Passive Microwave Observations
 
Zitierlink DOI
10.26092/elib/389

Reducing Weather Influences on Sea Ice Concentration Retrieval using Spaceborne 89 GHz Passive Microwave Observations

Veröffentlichungsdatum
2020-07-13
Autoren
Lu, Junshen  
Betreuer
Spreen, Gunnar  
Gutachter
Haas, Christian  
Zusammenfassung
The major challenge of deriving sea ice concentration from the high resolution 89 GHz passive microwave observation is the strong atmospheric attenuation caused by water vapor and liquid water path, and surface variability induced by wind and temperature. In this study, we improve an 89 GHz sea ice concentration retrieval algorithm called the Arctic Radiation and Turbulence Interaction STudy (ARTIST) Sea Ice (ASI) algorithm, by correcting the observed brightness temperatures for these weather influences before they enter the algorithm. The instrument used is the Advanced Microwave Scanning Radiometer - Earth Observing System (EOS) (AMSR-E) on board NASA’s Aqua satellite. The weather correction is realized by simulating changes induced by weather influences in the top of atmosphere brightness temperatures through a radiative transfer
model. Two correction schemes are tested, one utilizing the numerical weather prediction data as input, and the other the retrievals of an optimal estimation method. Two improved versions of the ASI algorithm, ASI2 and ASI3, are developed respectively based on the corrected brightness
temperatures and new tie points. For both the influence of the atmosphere on the 89 GHz brightness temperature is successfully reduced. Main results are a better representation of low ice concentration in the marginal ice zone, and a reduction in RMS of 2.3% over high ice compared to Landsat data.
Schlagwörter
sea ice concentration

; 

Arctic

; 

atmospheric correction

; 

microwave remote sensing

; 

radiative transfer model
Institution
Universität Bremen  
Fachbereich
Fachbereich 01: Physik/Elektrotechnik (FB 01)  
Dokumenttyp
Dissertation
Zweitveröffentlichung
Nein
Lizenz
http://creativecommons.org/licenses/by-nc-nd/3.0/de/
Sprache
Englisch
Dateien
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Name

JLu_thesis_final.pdf

Size

36.43 MB

Format

Adobe PDF

Checksum

(MD5):46fdaf00b3c21d1032b29c9197dbcb39

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