Sankar Arumugam

Professor and University Faculty Scholar

Dr. Sankar Arumugam is a  Professor in the Department of Civil, Construction, and Environmental Engineering at NCSU. He is also a University Faculty Scholar (2013-2018). He is primarily associated with the Environmental, Water Resources, and Coastal Engineering and Computing and Systems groups within the department.

Dr. Arumugam currently teaches CE 383 – Hydrology and Urban Water Systems, CE 586 – Engineering Hydrology, CE 777 – Stochastic Methods in Water and Environmental Engineering and CE 786 – Hydroclimatology.

Dr. Arumugam currently serves as the associate editor for the Geophysical Research Letters (AGU) and for the Journal of Hydrometeorology (AMS). He also served as the associate editor for  Water Resources Research (AGU), Journal of Hydrology (Elsevier), Journal of Hydrologic Engineering (ASCE) and as the editor of Journal of Water and Climate Change (IWA). Dr. Arumugam is also a member of American Geophysical Union, American Meteorological Society and Environmental Water Research Institute of the American Society of Civil Engineers.


Ph.D. 2002

Water Resources Engineering

Tufts University

M.S. 1996

Civil and Environmental Engineering

Indian Institute of Technology-Madras

B.S. 1991

Agricultural Engineering

Tamilnadu Agricultural University-Coimbatore

Research Description

Dr. Arumugam's primary research interest is at the interface of climate and water management focusing on large-scale hydroclimatology. His current research sponsors include National Science Foundation, National Oceanic and Atmospheric Administration and NC Water Resources Research Institute. Arumugam is interested in understanding, modeling and forecasting hydrological fluxes at large spatial scales based on land surface and climatic indices. Other topics of research include water resources planning and management and environmental assessment in developing countries.


Synthesis of Irrigation Water Use in the United States: Spatiotemporal Patterns
Das Bhowmik, R., Seo, S. B., Das, P., & Sankarasubramanian, A. (2020), JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 146(7).
Complete spatial model calibration
Huang, Y.-N., Reich, B. J., Fuentes, M., & Sankarasubramanian, A. (2019), The Annals of Applied Statistics, 13(2), 746–766.
Limitations of univariate linear bias correction in yielding cross‐correlation between monthly precipitation and temperature
Bhowmik, R. D., & Sankarasubramanian, A. (2019), International Journal of Climatology, 39(11), 4479–4496.
Repurposing an energy system optimization model for seasonal power generation planning
de Queiroz, A. R., Mulcahy, D., Sankarasubramanian, A., Deane, J. P., Mahinthakumar, G., Lu, N., & DeCarolis, J. F. (2019), Energy, 181, 1321–1330.
The role of cross-correlation between precipitation and temperature in basin-scale simulations of hydrologic variables
Seo, S. B., Das Bhowmik, R., Sankarasubramanian, A., Mahinthakumar, G., & Kumar, M. (2019), Journal of Hydrology, 570, 304–314.
A non-parametric bootstrapping framework embedded in a toolkit for assessing water quality model performance
Libera, D. A., Sankarasubramanian, A., Sharma, A., & Reich, B. J. (2018), Environmental Modelling & Software, 107, 25–33.
Assessing the restoration time of surface water and groundwater systems under groundwater pumping
Seo, S. B., Mahinthakumar, G., Sankarasubramanian, A., & Kumar, M. (2018), Stochastic Environmental Research and Risk Assessment, 32(9), 2741–2759.
Characterizing and predicting Yelp users' behavior
Jayaprakasan, P., Uma, R. N., & Sankarasubramanian, A. (2018), Highlighting the Importance of Big Data Management and Analysis for Various Applications, 27, 17–35.
Conjunctive management of surface water and groundwater resources under drought conditions using a fully coupled hydrological model
Seo, S. B., Mahinthakumar, G., Sankarasubramanian, A., & Kumar, M. (2018), Journal of Water Resources Planning and Management, 144(9).
Modeling the Irrigation Withdrawals Over the Coterminous US Using a Hierarchical Modeling Approach
Das, P., Patskoski, J., & Sankarasubramanian, A. (2018), Water Resources Research, 54(6), 3769–3787.

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Developing Potential Scenarios of Changes in Hydroclimatic Variables for analyzing the Impacts on the Tampa Bay Water Supply System
Tampa Bay Water(10/01/20 - 3/31/22)
RAISE: C-Accel Pilot – Track A1: The Urban Flooding Open Knowledge Network - Delivering Flood Information to AnyOne, AnyTime, AnyWhere
National Science Foundation (NSF)(9/01/20 - 8/31/21)
A Global Synthesis of Land-Surface Fluxes Under Natural and Human-Altered Watersheds Using the Budyko Framework
US Geological Survey (USGS)(11/21/19 - 11/20/21)
Assessing Controls on Nutrient Loading at the Watershed Scale through Data-Driven Modeling
NCSU Water Resources Research Institute(3/01/20 - 12/31/21)
RAISE: C-Accel Pilot – Track A1. The Urban Flooding Open Knowledge Network
National Science Foundation (NSF)(9/01/19 - 5/31/21)
Collaborative Research:NSF-NSFC:Improving FEW system sustainability over the SEUS and NCP: A cross-regional synthesis considering uncertainties in climate and regional development
National Science Foundation (NSF)(8/15/18 - 1/31/23)
A Global Synthesis of Land-Surface Fluxes Under Natural and Human-altered Watersheds using the Budyko Framework
US Geological Survey (USGS)(5/15/18 - 5/14/21)
Building Capacity for the DOI Southeast Climate Science Center to Co-Produce Actionable Science Focused on Global Change Impacts to Natural Resources (Recompetition)
US Dept. of Interior (DOI)(8/01/17 - 7/31/22)
A Research Network on Water Solutions (ReNeWS): the U.S. Southeast and Beyond
NCSU Research and Innovation Seed Funding Program(1/01/15 - 12/31/15)
Cybersees: Type II: Cyber-Enabled Water and Energy Systems Sustainability Utilizing Climate Information
National Science Foundation (NSF)(9/01/14 - 2/28/21)