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dc.contributor.authorMajumder, Reetam
dc.contributor.authorWalid, Redwan
dc.contributor.authorZheng, Jianyu
dc.contributor.authorZhang, Zhibo
dc.contributor.authorWang, Jianwu
dc.contributor.authorGobbert, Matthias K.
dc.contributor.authorGangopadhyay, Aryya
dc.contributor.authorBarajas, Carlos
dc.contributor.authorGuo, Pei
dc.contributor.authorRajapakshe, Chamara
dc.contributor.authorMarkert, Kel
dc.contributor.authorMehta, Amita
dc.contributor.authorNeerchal, Nagaraj K.
dc.date.accessioned2019-10-18T15:02:52Z
dc.date.available2019-10-18T15:02:52Z
dc.date.issued2019
dc.descriptionResearch 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.abstractThe 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.sponsorshipThis 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.urihttp://hpcf-files.umbc.edu/research/papers/CT2019Team1.pdfen_US
dc.format.extent20 pagesen_US
dc.genretechnical reportsen_US
dc.identifierdoi:10.13016/m2ti9w-r2qi
dc.identifier.citationMajumder, 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.urihttp://hdl.handle.net/11603/15915
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Mathematics Department Collection
dc.relation.ispartofUMBC Information Systems Department
dc.relation.ispartofUMBC Physics Department
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology (JCET)
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis 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.subjectPotomac River Basinen_US
dc.subjectInter-annual variationsen_US
dc.subjectwater allocationen_US
dc.subjectwater resources managementen_US
dc.subjectdistributed-memory clusteren_US
dc.subjectprecipitationen_US
dc.subjectUMBC High Performance Computing Facility (HPCF)en_US
dc.titleAssessing Water Budget Sensitivity to Precipitation Forcing Errors in Potomac River Basin Using the VIC Hydrologic Model CyberTraining: Big Data + High-Performance Computing + Atmospheric Sciencesen_US
dc.typeTexten_US


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