Multidisciplinary Research and Education on Big Data + High-Performance Computing + Atmospheric Sciences

Part of NSF Initiative on Workforce Development for Cyberinfrastructure (CyberTraining)

Publications


Peer Reviewed Publications

Technical Reports

Theses

Posters


Peer Reviewed Publications


[8]. Carlos A. Barajas, Matthias K. Gobbert, and Jianwu Wang. Performance Benchmarking of Data Argumentation and Deep Learning for Tornado Prediction. In Proceedings of The Third IEEE International Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications (BPOD 2019) at the IEEE Big Data Conference, 2019, [pdf].

[7]. Hua Song, Jing Tian, Jingfeng Huang, Pei Guo, Zhibo Zhang, Jianwu Wang. Hybrid Causality Analysis of ENSO's Global Impacts on Climate Variables based on Data-driven Analytics and Climate Model Simulation, Volume 7, Article 233. Frontiers in Earth Science, Frontiers, doi: 10.3389/feart.2019.00233. 2019.

[6]. Peichang Shi, Qianqian Song, Janita Patwardhan, Zhibo Zhang, Jianwu Wang, Aryya Gangopadhyay. A hybrid algorithm for mineral dust detection using satellite data. In Proceedings of the 15th IEEE International Conference on e-Science (e-Science2019), IEEE, 2019.

[5]. Zhibo Zhang, Hua Song, Po-Lun Ma, Vincent E. Larson, Minghuai Wang, Xiquan Dong, Jianwu Wang. Subgrid Variations of the Cloud Water and Droplet Number Concentration over the Tropical Ocean: Satellite Observations and Implications for Warm Rain Simulations in Climate Models, Atmospheric Chemistry and Physics, 19(2), pages 1077-1096, 2019. https://doi.org/10.5194/acp-19-1077-2019, 2019.

[4]. Hua Song, Jianwu Wang, Jing Tian, Jingfeng Huang, Zhibo Zhang, Spatio-temporal climate data causality analytics – an analysis of ENSOS’s global impacts, In Proceedings from the 8th International Workshop on Climate Informatics, 2018.

[3]. Wenbin Zhang, Jianwu Wang, Daeho Jin, Lazaros Oreopoulos, Zhibo Zhang, A Deterministic Self-Organizing Map Approach and its Application on Satellite Data based Cloud Type Classification, In Proceedings of the 2018 IEEE International Conference on Big Data (BigData 2018), pages 2026-2033, 2018.

[2]. Carlos Barajas, Pei Guo, Lipi Mukherjee, Susan Hoban, Jianwu Wang, Daeho Jin, Aryya Gangopadhyay, Matthias K. Gobbert. Benchmarking Parallel Implementations of K-Means Cloud Type Clustering from Satellite Data. Accepted by 2018 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench 18), 2018.

[1]. Jianwu Wang, Matthias Gobbert, Zhibo Zhang, Aryya Gangopadhyay and Glenn Page. Multidisciplinary Education on Big Data + HPC + Atmospheric Sciences, In Proceedings of the Workshop on Education for High-Performance Computing (EduHPC-17) at SC'2017.

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Technical Reports


[10]. Reetam Majumder, Redwan Walid, Jianyu Zheng, Carlos Barajas, Pei Guo, Chamara Rajapakshe, Aryya Gangopadhyay, Matthias K. Gobbert, Jianwu Wang, Zhibo Zhang, Kel Markert, Amita Mehta, and Nagaraj K. Neerchal. Assessing Water Budget Sensitivity to Precipitation Forcing Errors in Potomac River Basin Using the VIC Hydrologic Model. Technical Report HPCF-2019-11, UMBC High Performance Computing Facility, University of Maryland, Baltimore County, 2019. (HPCF machines used: taki.). [pdf].

[9]. Steven Randal Hussung, Mengxi Wu, Akila Sampath, Suhail Mahmud, Pei Guo, and Jianwu Wang. Evaluation of Data-Driven Causality Discovery Approaches among Dominant Climate Modes. Technical Report HPCF-2019-12, UMBC High Performance Computing Facility, University of Maryland, Baltimore County, 2019. (HPCF machines used: taki), [pdf].

[8]. Charlie Becker, Will D. Mayfield, Sarah Y. Murphy, Bin Wang, Carlos Barajas, and Matthias K. Gobbert. An approach to tuning hyperparameters in parallel: A performance study using climate data. Technical Report HPCF-2019-13, UMBC High Performance Computing Facility, University of Maryland, Baltimore County, 2019. (HPCF machines used: taki), [pdf].

[7]. Ping Hou, Peng Wu, Pei Guo, and Aryya Gangopadhyay. Deep Learning Based Mineral Dust Detection and Feature Selection. Technical Report HPCF-2019-14, UMBC High Performance Computing Facility, University of Maryland, Baltimore County, 2019. (HPCF machines used: taki), [pdf].

[6]. Changjie Cai, Jangho Lee, Yingxi Rona Shi, Camille Zerfas, Pei Guo, and Zhibo Zhang. Dust Detection in Satellite Data using Convolutional Neural Networks. Technical Report HPCF-2019-15, UMBC High Performance Computing Facility, University of Maryland, Baltimore County, 2019. (HPCF machines used: taki), [pdf].

[5]. Noah Sienkiewicz, Arjun Pandya, Tim Brown, Carlos Barajas, and Matthias K. Gobbert, Numerical Methods for Parallel Simulation of Diffusive Pollutant Transport from a Point Source, Technical Report HPCF-2018-11, UMBC High Performance Computing Facility, University of Maryland, Baltimore County, 2018. (HPCF machines used: maya), [pdf].

[4]. Carlos Barajas, Lipi Mukherjee, Pei Guo, Susan Hoban, Daeho Jin, Aryya Gangopadhyay, and Jianwu Wang. Benchmarking parallel implementations of cloud type clustering from satellite data, Technical Report HPCF-2018-12, UMBC High Performance Computing Facility, University of Maryland, Baltimore County, 2018. (HPCF machines used: maya), [pdf].

[3]. Peichang Shi, Qianqian Song, Janita Patwardhan, Zhibo Zhang, and Jianwu Wang, Mineral Dust Detection Using Satellite Data, Technical Report HPCF-2018-13, UMBC High Performance Computing Facility, University of Maryland, Baltimore County, 2018. (HPCF machines used: maya), [pdf].

[2]. Hua Song, Jing Tian, Jingfeng Huang, Jianwu Wang, and Zhibo Zhang, Causality Analysis of ENSO’s Global Impacts on Climate Variables based on Data-driven Analytics and Climate Model Simulation, Technical Report HPCF-2018-14, UMBC High Performance Computing Facility, University of Maryland, Baltimore County, 2018. (HPCF machines used: maya), [pdf].

[1]. Yunwei Cui, Meng Gao, Scott Hottovy, Chamara Rajapakshe, and Zhibo ZhangTeam, The impacts of 3D radiative transfer effects on cloud radiative property simulations and retrievals, Technical Report HPCF-2018-15, UMBC High Performance Computing Facility, University of Maryland, Baltimore County, 2018. (HPCF machines used: maya), [pdf].

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Theses


[3]. Deepak Prakash. Benchmarking of Parallel Climate Data Aggregation in a Distributed Environment. M.S. Thesis, Department of Information Systems, University of Maryland, Baltimore County, 2019. (HPCF machines used: taki).

[2]. Carlos Alexander Barajas. An Approach to Tuning Hyperparameters in Parallel: A Performance Study Using Climate Data. M.S. Thesis, Department of Mathematics and Statistics, University of Maryland, Baltimore County, 2019. (HPCF machines used: taki).

[1]. Savio Sebastian Kay. Efficient Scientific Big Data Aggregation through Parallelization and Subsampling. M.S. Thesis, Department of Information Systems, University of Maryland, Baltimore County, 2019. (HPCF machines used: taki).

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Posters



Year 1 Team 4 Poster


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