Water vapor tomography with two microwave radiometer

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Title:Main Title: Water vapor tomography with two microwave radiometer
Description:Abstract: The present study shows how two microwave radiometers can be used to derive a 2-D water vapor field by means of a tomographic technique. For this purpose, synthetic measurements are simulated with a radiative transfer model applied to water vapor fields. These fields are obtained from a Large Eddy Simulation model, producing realistic atmospheric boundary layer structures. To derive the water vapor field from the microwave measurements, an iterative procedure based on the optimal estimation technique is used. The synthetic measurements are calculated for various measurement geometries. The comparison of the measurement geometries from one versus two radiometers shows that the standard deviation obtained from measurements with the two radiometers is smaller by 15%, and the degrees of freedom for signal are simultaneously larger by 61%. For deriving the best possible water vapor field, the spatial distribution of the measurement angles and the angular resolution of the scan are important. The angles are optimally distributed when most measurements originate from regions with a high variability in the water vapor field.
Identifier:10.1109/LGRS.2013.2264354 (DOI)
Responsible Party
Creators:Sandra Steinke (Author), Ulrich Löhnert (Author), Susanne Crewell (Author), Shaofeng Liu (Author)
Publisher:IEEE
Publication Year:2013
Topic
TR32 Topic:Remote Sensing
Related Subproject:D2
Subjects:Keywords: Water Vapour, Microwave Radiometer, Radiative Transfer, LES
File Details
Filename:2014_Steinke_GRSL_Metadata
Data Type:Text - Article
Size:5 Pages
File Size:Unknown
Date:Issued: 05.07.2013
Mime Type:Unknown
Language:English
Status:Completed
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Download Permission:Only Project Members
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:[TR32DB] Data policy agreement
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Specific Information - Publication
Publication Status:Published
Review Status:Peer reviewed
Publication Type:Article
Article Type:Journal
Source:IEEE Geoscience and Remote Sensing Letters
Source Website:www.ieeexplore.ieee.org
Issue:2
Volume:11
Number of Pages:5 (419 - 423)
Metadata Details
Metadata Creator:Sandra Steinke
Metadata Created:09.12.2013
Metadata Last Updated:09.12.2013
Subproject:D2
Funding Phase:2
Metadata Language:English
Metadata Version:V50
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