Pfitzenmaier, Lukas ORCID: 0000-0002-6396-5518, Battaglia, Alessandro ORCID: 0000-0001-9243-3484 and Kollias, Pavlos ORCID: 0000-0002-5984-7869 (2019). The Impact of the Radar-Sampling Volume on Multiwavelength Spaceborne Radar Measurements Using Airborne Radar Observations. Remote Sens., 11 (19). BASEL: MDPI. ISSN 2072-4292

Full text not available from this repository.


Multiwavelength radar observations have demonstrated great potential in improving microphysical retrievals of cloud properties especially in ice and snow precipitation systems. Advancements in spaceborne radar technology have already fostered the launch in 2014 of the first multiwavelength radar system in space, while several future spaceborne multiwavelength radar concepts are under consideration. However, due to antenna size limitations, the sampling volume of spaceborne radars is considerably larger than those achieved by surface- and airborne-based radars. Here, the impact of these large sampling volumes in the information content of the Dual-Wavelength Ratio estimates at Ka-W, Ku-Ka is investigated. High-resolution airborne multiwavelength radar observations during the Olympic Mountain Experiment (OLYMPEx) are used to perform retrievals of ice/snow characteristic particle size, such as mass-weighted particle diameter. To mimic the different satellite sampling volumes, a moving average is applied to the airborne measurements. The radar-observed variables (reflectivity and dual-wavelength ratios) and retrieved microphysical properties at the coarser resolution are compared against those at the original resolution. Our analysis indicates that future Ka-W spaceborne radar missions should take into account the impact of the radar resolution volume on the retrieval of microphysical properties and avoid footprints larger than 2-3 km.

Item Type: Journal Article
CreatorsEmailORCIDORCID Put Code
URN: urn:nbn:de:hbz:38-131886
DOI: 10.3390/rs11192263
Journal or Publication Title: Remote Sens.
Volume: 11
Number: 19
Date: 2019
Publisher: MDPI
Place of Publication: BASEL
ISSN: 2072-4292
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
Remote SensingMultiple languages
Refereed: Yes


Downloads per month over past year



Actions (login required)

View Item View Item