Stochastic Precipitation Generation for the Potomac River Basin Using Hidden Markov Models

Abstract

This work is supported by the grant CyberTraining: DSE: Cross-Training of Researchers in Computing, Applied Mathematics and Atmospheric Sciences using Advanced Cyberinfrastructure Resources from the National Science Foundation (grant no. OAC–1730250). Co-authors Gerson Kroiz, Jonathan Basalyga, Uchendu Uchendu were supported through an REU Supplement to this grant. Co-author Gerson Kroiz was also supported through an Undergraduate Research Award (URA) from UMBC. The hardware in the UMBC High Performance Computing Facility (HPCF) is supported by the U.S. National Science Foundation through the MRI program (grant nos. CNS–0821258, CNS–1228778, and OAC–1726023) and the SCREMS program (grant no. DMS–0821311), with additional substantial support from the University of Maryland, Baltimore County (UMBC). See hpcf.umbc.edu for more information on HPCF and the projects using its resources. Co-author Reetam Majumder was supported by JCET and as HPCF RA. Co-author Carlos Barajas also acknowledges support as HPCF RA.