Water vapor tomography with two microwave radiometer
This page lists all metadata that was entered for this dataset. This dataset is not available for download.
Feature
Request download
Citation
Citation Options
Identification
| 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 |
Constraints
| 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 |
Geographic
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 |
Metadata Export
| Metadata Schema: |
Dataset Statistics
| Page Visits: | 770 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 0 |
Dataset Activity
Feature
DownloadBy downloading this dataset you accept the license terms of [TR32DB] Data policy agreement and TR32DB Data Protection Statement
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
