Methodology for PBL Retrieval Based on NASA MPLNET Datasets

In the framework of the recently released NASA 2017-2027 decadal survey from the National Academy of Sciences, this work proposes a new methodology for ground-based lidar detection of the planetary boundary layer (PBL). A robust algorithm has been developed based on a new wavelet mathematical function able to detect all significant layers present in NASA Micro-Pulse Lidar Network (MPLNET) lidar profiles. The method was calibrated based on radiosonde input and backscatter lidar parameters, such as signal-to-noise ratio (SNR) and PBL height, entrainment zone thickness and aerosol optical thickness. In this work, datasets from MPLNET collected at Fairbanks, Alaska have been processed to retrieve summertime PBL structure from June 1, 2017 to August 31, 2017. Retrieved PBL heights are compared to local radiosonde systems for daytime convective boundary layer estimates. The application of this methodology to MPLNET during summer 2017 allows for statistical estimations of summer PBL height intra-day and inter-day variability that will be presented at the meeting.