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DeLong Thesis.pdf (2.07 MB)

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An Investigation of Adaptive Remote Sensing Methods for Spaceborne Cloud Profiling Radars

DeLong, Jakob Alexander
http://rave.ohiolink.edu/etdc/view?acc_num=osu1658226628451194

Abstract Details

2022, Doctor of Philosophy, Ohio State University, Electrical and Computer Engineering.
Cloud profiling radars (CPRs) are designed to illuminate atmospheric clouds and estimate their water content and internal structure. Satellite based CPRs offer several advantages and have already been used to significantly improve scientific understanding of meteorology generally, but the physical nature of clouds makes them a challenging target to observe without large, expensive instruments. Adaptive remote sensing has the potential to enable smaller, cheaper systems to produce useful measurements alongside their larger predecessors. A Matlab simulation has been developed to investigate the benefits of adaptive remote sensing in the CPR use case. This simulation has the ability to adapt the radar’s pulse repetition frequency (PRF) in response to observed cloud column height as well as automatically identify and terminate low precision measurements to manage resources. The simulation has been tested using synthetic data derived from NASA’s GEOS5 system and real data derived from CloudSat’s operational history. The simulation has shown that adaptive remote sensing is capable of achieving resource savings and quality improvement in the CPR case which would make the use of highly resource constrained platforms for the CPR use case more feasible.
Johnson Joel (Advisor)
Ertin Emre (Committee Member)
Brian Slater (Committee Member)
Fernando Teixiera (Committee Member)
117 p.
Atmospheric Sciences; Electrical Engineering; Engineering; Remote Sensing
remote sensing radar cloud radar clouds

Recommended Citations

Citations

  • DeLong, J. A. (2022). An Investigation of Adaptive Remote Sensing Methods for Spaceborne Cloud Profiling Radars [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1658226628451194

    APA Style (7th edition)

  • DeLong, Jakob. An Investigation of Adaptive Remote Sensing Methods for Spaceborne Cloud Profiling Radars. 2022. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1658226628451194.

    MLA Style (8th edition)

  • DeLong, Jakob. "An Investigation of Adaptive Remote Sensing Methods for Spaceborne Cloud Profiling Radars." Doctoral dissertation, Ohio State University, 2022. http://rave.ohiolink.edu/etdc/view?acc_num=osu1658226628451194

    Chicago Manual of Style (17th edition)

osu1658226628451194
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This open access ETD is published by The Ohio State University and OhioLINK.