Vanessa Caicedo

University of Maryland, Baltimore County
Joint Center for Earth Systems Technology

Publications

2022

  1. M. Halem, a. kochanski, J. Mandel, P. Nguyen, R. Atlas, Z. Yang, A. Bargteil, J. Sleeman, V. Caicedo, B. Demoz, D. Chapman, and K. Patel, "A Machine Learning Plume-Resolving Model Implementation over North America for Mega-Wildland Fire Smoke Impacts on Distant Planetary Boundary Layers", InProceedings, 102nd American Meteorological Society Annual Meeting, January 2022.

2021

  1. D. Ziaei, J. Sleeman, M. Halem, V. Caicedo, R. M. Delgado, and B. Demoz, "Convolutional LSTM for Planetary Boundary Layer Height (PBLH) Prediction", InProceedings, AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, March 2021, 229 downloads.

2020

  1. J. Sleeman, M. Halem, V. Caicedo, B. Demoz, and R. M. Delgado, "A Deep Machine Learning Approach for LIDAR Based Boundary Layer Height Detection", InProceedings, IEEE International Geoscience and Remote Sensing Symposium, October 2020.

2019

  1. J. Sleeman, V. Caicedo, M. Halem, and B. Demoz, "Using Lidar and Machine Learning to Identify Planetary Boundary Layer Heights", InProceedings, American Geophysical Union Fall Meeting Abstracts, December 2019.