Planetary Boundary Layer Height from DNN Method Tianning Su https://doi.org/10.5281/zenodo.10633811

Deep-Learning-derived Boundary Layer Height from Meteorological Data over the SGP, GOAMAZON, CACTI Tianning Su https://doi.org/10.5439/2344988

ARM best estimate data products (ARMBEATM). Southern Great Plains (SGP) central facility, Lamont, OK (C1) ARM User Facility https://doi.org/10.5439/1333748

ERA5 hourly data on single levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.adbb2d47

Planetary Boundary Layer Height derived from Doppler Lidar (DL) data C. Sivaraman and D. Zhang https://doi.org/10.5439/1726254

Planetary Boundary Layer Height (PBLH) over SGP from 1998 to 2023 T. Su and Z. Li https://doi.org/10.5439/2007149

An Open Source Machine Learning Framework for Everyone TensorFlow https://github.com/tensorflow/