Assessing Water Budget Sensitivity to Precipitation Forcing Errors in Potomac River Basin Using the VIC Hydrologic Model CyberTraining: Big Data + High-Performance Computing + Atmospheric Sciences
dc.contributor.author | Majumder, Reetam | |
dc.contributor.author | Walid, Redwan | |
dc.contributor.author | Zheng, Jianyu | |
dc.contributor.author | Zhang, Zhibo | |
dc.contributor.author | Wang, Jianwu | |
dc.contributor.author | Gobbert, Matthias K. | |
dc.contributor.author | Gangopadhyay, Aryya | |
dc.contributor.author | Barajas, Carlos | |
dc.contributor.author | Guo, Pei | |
dc.contributor.author | Rajapakshe, Chamara | |
dc.contributor.author | Markert, Kel | |
dc.contributor.author | Mehta, Amita | |
dc.contributor.author | Neerchal, Nagaraj K. | |
dc.date.accessioned | 2019-10-18T15:02:52Z | |
dc.date.available | 2019-10-18T15:02:52Z | |
dc.date.issued | 2019 | |
dc.description | Research assistants: Barajas, Carlos; Guo, Pei; Rajapakshe, Chamara; Faculty mentors: Gangopadhyay, Aryya; Gobbert, Matthias K.; Wang, Jianwu; Zhang, Zhibo; Clients: Markert, Kel; Mehta, Amita; Neerchal, Nagaraj K.; | en_US |
dc.description.abstract | The Potomac River Basin is a watershed located on the East Coast of the USA across West Virginia, Virginia, Pennsylvania, Maryland, and the District of Columbia. Inter-annual variations in precipitation makes it challenging to plan for water allocation within the basin. Therefore, understanding seasonal to inter-annual variations in water availability within the basin is important for planning water resources management. We set up on a distributed-memory cluster and used the hydrologic model Variable Infiltration Capacity (VIC) to estimate the water budget components for the Potomac river basin from April to September 2017. We also assessed the effect of precipitation forcing errors and its variability on the water balance for the same time period. We were able to identify April and May as the months where the water balance was most sensitive to variability. Sub-basins with the highest sensitivity over the course of the six months of interest were also identified, and variability in water balance increased as we increased the variability in precipitation. | en_US |
dc.description.sponsorship | 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). 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-authors Reetam Majumder and Carlos Barajas were supported as HPCF RAs. The VIC hydrologic model used in this study was developed at the University of Washington Department of Civil and Environmental Engineering Computational Hydrology group, and the model code was obtained by from https://github.com/UW-Hydro/VIC. The VIC model overview and input data information were obtained from https://arset.gsfc.nasa.gov/water/webinars/VIC18. NASA-SERVIR VIC training documentation and scripts developed by Kel Markert from https://github.com/KMarkert/servir-vic-training were used as background and for data pre-processing. | en_US |
dc.description.uri | http://hpcf-files.umbc.edu/research/papers/CT2019Team1.pdf | en_US |
dc.format.extent | 20 pages | en_US |
dc.genre | technical reports | en_US |
dc.identifier | doi:10.13016/m2ti9w-r2qi | |
dc.identifier.citation | Majumder, Reetam; Walid, Redwan; Zheng, Jianyu; Assessing Water Budget Sensitivity to Precipitation Forcing Errors in Potomac River Basin Using the VIC Hydrologic Model CyberTraining: Big Data + High-Performance Computing + Atmospheric Sciences (2019) | en_US |
dc.identifier.uri | http://hdl.handle.net/11603/15915 | |
dc.language.iso | en_US | en_US |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC Mathematics Department Collection | |
dc.relation.ispartof | UMBC Information Systems Department | |
dc.relation.ispartof | UMBC Physics Department | |
dc.relation.ispartof | UMBC Joint Center for Earth Systems Technology (JCET) | |
dc.relation.ispartof | UMBC Student Collection | |
dc.relation.ispartof | UMBC Faculty Collection | |
dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
dc.subject | Potomac River Basin | en_US |
dc.subject | Inter-annual variations | en_US |
dc.subject | water allocation | en_US |
dc.subject | water resources management | en_US |
dc.subject | distributed-memory cluster | en_US |
dc.subject | precipitation | en_US |
dc.subject | UMBC High Performance Computing Facility (HPCF) | en_US |
dc.title | Assessing Water Budget Sensitivity to Precipitation Forcing Errors in Potomac River Basin Using the VIC Hydrologic Model CyberTraining: Big Data + High-Performance Computing + Atmospheric Sciences | en_US |
dc.type | Text | en_US |
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