Abstract
SODAR (or acoustic radar) systems are a useful tool to efficiently probe the lower planetary boundary layer (LPBL). The observations obtained by these systems can prove to be extremely useful if classified and interpreted correctly. The manual identification of different types of SODAR-recorded lower atmospheric microstructures is a laborious task and can be performed only by an expert having wide experience with the system and the variety of observations recorded by it. In this letter, we have developed a connectionist system to classify or identify SODAR patterns. The results demonstrate that the multilayer perceptron-based model is capable of successfully identifying the different SODAR patterns.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
