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 Journal of Hydrology (Elsevier) and for the Journal of Hydrometeorology (AMS). He also served as the associate editor for  Water Resources Research (AGU), 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.

Education

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.

Publications

Characterizing and predicting Yelp users' behavior
Jayaprakasan, P. and Uma, R. N. and Sankarasubramanian, A. (2018), Studies in Big Data, 27(), 17-35.
Conjunctive management of surface water and groundwater resources under drought conditions using a fully coupled hydrological model
Seo, S. B. and Mahinthakumar, G. and Sankarasubramanian, A. and Kumar, M. (2018), Journal of Water Resources Planning and Management, 144(9), .
Monthly hydroclimatology of the continental United States
Petersen, T. and Devineni, N. and Sankarasubramanian, A. (2018), Advances in Water Resources, 114(), 180-195.
Patterns and drivers of fish extirpations in rivers of the American Southwest and Southeast
Kominoski, J. S. and Ruhi, A. and Hagler, M. M. and Petersen, K. and Sabo, J. L. and Sinha, T. and Sankarasubramanian, A. and Olden, J. D. (2018), Global Change Biology, 24(3), 1175-1185.
Synthesis of public water supply use in the United States: Spatio-temporal patterns and socio-economic controls
Sankarasubramanian, A. and Sabo, J. L. and Larson, K. L. and Seo, S. B. and Sinha, T. and Bhowmik, R. and Vidal, A. R. and Kunkel, K. and Mahinthakumar, G. and Berglund, E. Z. and Kominoski, J. (2017), Earths Future, 5(7), 771-788.
Flood forecasting a global perspective foreword
Vogel, R. M. and Arumugam, S. (2016), Flood Forecasting: A Global Perspective, (), XVII-.
Identification of dominant source of errors in developing streamflow and groundwater projections under near-term climate change
Seo, S. B. and Sinha, T. and Mahinthakumar, G. and Sankarasubramanian, A. and Kumar, M. (2016), Journal of Geophysical Research-Atmospheres, 121(13), 7652-7672.
Role of multimodel combination and data assimilation in improving streamflow prediction over multiple time scales
Li, W. H. and Sankarasubramanian, A. and Ranjithan, R. S. and Sinha, T. (2016), Stochastic Environmental Research and Risk Assessment, 30(8), 2255-2269.
Decomposition of sources of errors in seasonal streamflow forecasting over the US Sunbelt
Mazrooei, A. and Sinha, T. and Sankarasubramanian, A. and Kumar, S. and Peters-Lidard, C. D. (2015), Journal of Geophysical Research-Atmospheres, 120(23), .
Impacts of near-term climate change and population growth on within-year reservoir systems
Singh, H. and Sinha, T. and Sankarasubramanian, A. (2015), Journal of Water Resources Planning and Management, 141(6), .
Improved reservoir sizing utilizing observed and reconstructed streamflows within a Bayesian combination framework
Patskoski, J. and Sankarasubramanian, A. (2015), Water Resources Research, 51(7), 5677-5697.
Reconstructed streamflow using SST and tree-ring chronologies over the southeastern United States
Patskoski, J. and Sankarasubramanian, A. and Wang, H. (2015), Journal of Hydrology, 527(), 761-775.
Understanding the low-frequency variability in hydroclimatic attributes over the southeastern US
Wang, H. and Sankarasubramanian, A. and Ranjithan, R. S. (2015), Journal of Hydrology, 521(), 170-181.
Decomposition of sources of errors in monthly to seasonal streamflow forecasts in a rainfall-runoff regime
Sinha, T. and Sankarasubramanian, A. and Mazrooei, A. (2014), Journal of Hydrometeorology, 15(6), 2470-2483.
Global sea surface temperature forecasts using an improved multimodel approach
Zaved, M. and Khan, K. and Mehrotra, R. and Sharma, A. and Sankarasubramanian, A. (2014), Journal of Climate, 27(10), 3505-3515.
Improved regional water management utilizing climate forecasts: An interbasin transfer model with a risk management framework
Li, W. H. and Sankarasubramanian, A. and Ranjithan, R. S. and Brill, E. D. (2014), Water Resources Research, 50(8), 6810-6827.
Systematic uncertainty reduction strategies for developing streamflow forecasts utilizing multiple climate models and hydrologic models
Singh, H. and Sankarasubramanian, A. (2014), Water Resources Research, 50(2), 1288-1307.
improving groundwater predictions utilizing seasonal precipitation forecasts from general circulation models forced with sea surface temperature forecasts
Almanaseer, N. and Sankarasubramanian, A. and Bales, J. (2014), Journal of Hydrologic Engineering, 19(1), 87-98.
The role of retrospective weather forecasts in developing daily forecasts of nutrient loadings over the southeast US
Oh, J. and Sinha, T. and Sankarasubramanian, A. (2014), Hydrology and Earth System Sciences, 18(8), 2885-2898.
Integration of climate and weather information for improving 15-day-ahead accumulated precipitation forecasts
Wang, H. and Sankarasubramanian, A. and Ranjithan, R. S. (2013), Journal of Hydrometeorology, 14(1), 186-202.
Role of climate forecasts and initial conditions in developing streamflow and soil moisture forecasts in a rainfall-runoff regime
Sinha, T. and Arumugam, S. (2013), Hydrology and Earth System Sciences, 17(), 721-733.
The role of multimodel climate forecasts in improving water and energy management over the Tana River Basin, Kenya
Oludhe, C. and Sankarasubramanian, A. and Sinha, T. and Devineni, N. and Lall, U. (2013), Journal of Applied Meteorology and Climatology, 52(11), 2460-2475.
Interannual hydroclimatic variability and its influence on winter nutrient loadings over the Southeast United States
Oh, J. and Sankarasubramanian, A. (2012), Hydrology and Earth System Sciences, 16(7), 2285-2298.
Reducing hydrologic model uncertainty in monthly streamflow predictions using multimodel combination
Li, W. H. and Sankarasubramanian, A. (2012), Water Resources Research, 48(), .
Role of climate variability in modulating the surface water and groundwater interaction over the southeast United States
Almanaseer, N. and Sankarasubramanian, A. (2012), Journal of Hydrologic Engineering, 17(9), 1001-1010.
Seasonality of monthly runoff over the continental United States: Causality and relations to mean annual and mean monthly distributions of moisture and energy
Petersen, T. and Devineni, N. and Sankarasubramanian, A. (2012), Journal of Hydrology, 468(), 139-150.
Logistic regression analysis to estimate contaminant sources in water distribution systems
Liu, L. and Sankarasubramanian, A. and Ranjithan, S. R. (2011), Journal of Hydroinformatics, 13(3), 545-557.
Improved categorical winter precipitation forecasts through multimodel combinations of coupled GCMs
Devineni, N. and Sankarasubramanian, A. (2010), Geophysical Research Letters, 37(), .
Improving the prediction of winter precipitation and temperature over the continental United States: Role of the ENSO state in developing multimodel combinations
Devineni, N. and Sankarasubramanian, A. (2010), Monthly Weather Review, 138(6), 2447-2468.
Contaminant source identification in water distribution networks under conditions of demand uncertainty
Vankayala, P. and Sankarasubramanian, A. and Ranjithan, S. R. and Mahinthakumar, G. (2009), Environmental Forensics, 10(3), 253-263.
Improved drought management of Falls Lake Reservoir: Role of multimodel streamflow forecasts in setting up restrictions
Golembesky, K. and Sankarasubramanian, A. and Devineni, N. (2009), Journal of Water Resources Planning and Management, 135(3), 188-197.
Improved water allocation utilizing probabilistic climate forecasts: Short-term water contracts in a risk management framework
Sankarasubramanian, A. and Lall, U. and Souza, F. A. and Sharma, A. (2009), Water Resources Research, 45(), .
river flood forecasting using complementary muskingum rating equations
Choudhury, P. and Sankarasubramanian, A. (2009), Journal of Hydrologic Engineering, 14(7), 745-751.
The role of monthly updated climate forecasts in improving intraseasonal water allocation
Sankarasubramanian, A. and Lall, U. and Devineni, N. and Espinueva, S. (2009), Journal of Applied Meteorology and Climatology, 48(7), 1464-1482.
Multimodel ensembles of streamflow forecasts: Role of predictor state in developing optimal combinations
Devineni, N. and Sankarasubramanian, A. and Ghosh, S. (2008), Water Resources Research, 44(9), .
Role of retrospective forecasts of GCMs forced with persisted SST anomalies in operational streamflow forecasts development
Sankarasubramanian, A. and Lall, U. and Espinueva, S. (2008), Journal of Hydrometeorology, 9(2), 212-227.
Climate, stream flow prediction and water management in northeast Brazil: societal trends and forecast value
Broad, K. and Pfaff, A. and Taddei, R. and Sankarasubramanian, A. and Lall, U. and Souza, F. D. (2007), Climatic Change, 84(2), 217-239.

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Grants

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 - 7/31/22)
A Global Synthesis of Land-Surface Fluxes Under Natural and Human-altered Watersheds using the Budyko Framework
US Geological Survey (USGS)(5/15/18 - 5/14/19)
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 - 8/31/19)
Integrated Drought Management and Assessment Portal for the State of North Carolina
NCSU Water Resources Research Institute(3/01/14 - 2/29/16)
AGU Chapman Conference on "Seasonal to Internannual Hydroclimate Forecasts and Water Management"
National Science Foundation (NSF)(7/01/13 - 6/30/14)
WSC - Category 3: Collaborative Research: Water Sustainability under Near-term Climate Change : A Cross-Regional Analysis Incorporating Socio-Ecological Feedbacks and Adaptations
National Science Foundation (NSF)(9/01/12 - 8/31/18)
An Integrated Framework for Assessing the Dynamics of Population Growth, Land Use and Climate Change for Urban Water Resources Management
NCSU Water Resources Research Institute(3/01/12 - 2/28/14)
Experimental Reservoir Storage Forecasts Utilizing Climate-Information Based Streamflow Forecasts
NCSU Water Resources Research Institute(8/16/11 - 12/31/14)