Sankarasubramanian Arumugam

Fang, S., Johnson, J. M., Yeghiazarian, L., & Sankarasubramanian, A. (2024). Improved National-Scale Above-Normal Flow Prediction for Gauged and Ungauged Basins Using a Spatio-Temporal Hierarchical Model. WATER RESOURCES RESEARCH, 60(1). https://doi.org/10.1029/2023WR034557

Fang, S., Johnson, J. M., & Sankarasubramanian, A. (2024, April 15). Leveraging Synthetic Aperture Radar (SAR) to improve above-normal flow prediction in ungauged basins. https://doi.org/10.22541/essoar.171320277.73530520/v1

Awasthi, C., Archfield, S. A., Reich, B. J., & Sankarasubramanian, A. (2023). Beyond Simple Trend Tests: Detecting Significant Changes in Design-Flood Quantiles. GEOPHYSICAL RESEARCH LETTERS, 50(13). https://doi.org/10.1029/2023GL103438

Johnson, J. M., Fang, S., Sankarasubramanian, A., Rad, A. M., Cunha, L. K., Jennings, K. S., … Yeghiazarian, L. (2023). Comprehensive Analysis of the NOAA National Water Model: A Call for Heterogeneous Formulations and Diagnostic Model Selection. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 128(24). https://doi.org/10.1029/2023JD038534

Johnson, J. M., Fang, S., Sankarasubramanian, A., Rad, A. M., Cunha, L. K., Clarke, K. C., … Yeghiazarian, L. (2023, January 19). Comprehensive analysis of the NOAA National Water Model: A call for heterogeneous formulations and diagnostic model selection. https://doi.org/10.22541/essoar.167415214.45806648/v1

Karimi, K., Miller, J. W., Sankarasubramanian, A., & Obenour, D. R. (2023). Contrasting Annual and Summer Phosphorus Export Using a Hybrid Bayesian Watershed Model. WATER RESOURCES RESEARCH, 59(1). https://doi.org/10.1029/2022WR033088

Ford, L., & Sankarasubramanian, A. (2023). Generalizing Reservoir Operations Using a Piecewise Classification and Regression Approach. WATER RESOURCES RESEARCH, 59(9). https://doi.org/10.1029/2023WR034890

Ford, L., & Sankarasubramanian, A. (2023, March 26). Generalizing Reservoir Operations using a Piecewise Classification and Regression Approach. https://doi.org/10.22541/essoar.167979630.09661764/v1

Fang, S., Johnson, J. M., Yeghiazarian, L., & Sankarasubramanian, A. (2023, February 9). Improved National-Scale Flood Prediction for Gauged and Ungauged Basins using a Spatio-temporal Hierarchical Model. https://doi.org/10.22541/essoar.167590827.70275868/v1

Han, P.-F., Sankarasubramanian, A., Wang, X.-S., Wan, L., & Yao, L. (2023). One-Parameter Analytical Derivation in Modified Budyko Framework for Unsteady-State Streamflow Elasticity in Humid Catchments. WATER RESOURCES RESEARCH, 59(9). https://doi.org/10.1029/2023WR034725

Awasthi, C., Vogel, R. M., & Sankarasubramanian, A. (2023, November 8). Regionalization of Climate Elasticity Preserves Dooge's Complementary Relationship. https://doi.org/10.22541/essoar.169947261.16344787/v1

Levey, J. R., & Sankarasubramanian, A. (2023, September 13). Spatial and Temporal Variation of Subseasonal-to-Seasonal (S2S) Precipitation Reforecast Skill Across CONUS. https://doi.org/10.22541/essoar.169461965.53386198/v1

Chalise, D. R., Sankarasubramanian, A., Olden, J. D. D., & Ruhi, A. (2023). Spectral Signatures of Flow Regime Alteration by Dams Across the United States. EARTHS FUTURE, 11(2). https://doi.org/10.1029/2022EF003078

Kumar, H., Zhu, T., & Sankarasubramanian, A. (2023). Understanding the Food-Energy-Water Nexus in Mixed Irrigation Regimes Using a Regional Hydroeconomic Optimization Modeling Framework. WATER RESOURCES RESEARCH, 59(6). https://doi.org/10.1029/2022WR033691

Ford, L., Queiroz, A., DeCarolis, J., & Sankarasubramanian, A. (2022). Co-Optimization of Reservoir and Power Systems (COREGS) for seasonal planning and operation. ENERGY REPORTS, 8, 8061–8078. https://doi.org/10.1016/j.egyr.2022.06.017

Ruhi, A., Hwang, J., Devineni, N., Mukhopadhyay, S., Kumar, H., Comte, L., … Sankarasubramanian, A. (2022). How Does Flow Alteration Propagate Across a Large, Highly Regulated Basin? Dam Attributes, Network Context, and Implications for Biodiversity. Earth's Future. https://doi.org/10.1029/2021EF002490

Johnson, J. M., Narock, T., Singh-Mohudpur, J., Fils, D., Clarke, K. C., Saksena, S., … Yeghiazarian, L. (2022). Knowledge graphs to support real-time flood impact evaluation. AI MAGAZINE, 43(1), 40–45. https://doi.org/10.1002/aaai.12035

Awasthi, C., Archfield, S. A., Ryberg, K. R., Kiang, J. E., & Sankarasubramanian, A. (2022). Projecting Flood Frequency Curves Under Near-Term Climate Change. WATER RESOURCES RESEARCH, 58(8). https://doi.org/10.1029/2021WR031246

Miller, J. W., Karimi, K., Sankarasubramanian, A., & Obenour, D. R. (2021). Assessing inter-annual variability in nitrogen sourcing and retention
through hybrid Bayesian watershed modeling. Hydrology and Earth System Sciences, 2. https://doi.org/10.5194/hess-2021-52

Yao, L., Sankarasubramanian, A., & Wang, D. (2021). Climatic and Landscape Controls on Long-term Baseflow. Water Resources Research, 57(6), e2020WR029284. https://doi.org/10.1029/2020WR029284

Chalise, D., Sankarasubramanian, A., & Ruhi, A. (2021). Dams and Climate Interact to Alter River Flow Regimes Across the United States. Earth’s Future, 9(4), e2020EF001816. https://doi.org/10.1029/2020EF001816

Kumar, H., Hwang, J., Devineni, N., & Sankarasubramanian, A. (2021). Dynamic Flow Alteration Index for Complex River Networks With Cascading Reservoir Systems. Water Resources Research, 58(1). https://doi.org/10.1029/2021WR030491

Mukhopadhyay, S., Sankarasubramanian, A., & de Queiroz, A. R. (2021). Performance Comparison of Equivalent Reservoir and Multireservoir Models in Forecasting Hydropower Potential for Linking Water and Power Systems. Journal of Water Resources Planning and Management, 147(4), 04021005. https://doi.org/10.1061/(asce)wr.1943-5452.0001343

Esraghi, H., Queiroz, A., Sankarasubramanian, A., & DeCarolis, J. (2021). Quantification of climate-induced interannual variability in residential U.S. electricity demand. Energy, 236, 121273. https://doi.org/10.1016/j.energy.2021.121273

Hwang, J., Kumar, H., Ruhi, A., Sankarasubramanian, A., & Devineni, N. (2021). Quantifying Dam-Induced Fluctuations in Streamflow Frequencies Across the Colorado River Basin. Water Resources Research, 57(10), e2021WR029753. https://doi.org/10.1029/2021WR029753

Cawthorne, D., Rodrigo de Queiroz, A., Eshraghi, H., Sankarasubramanian, A., & DeCarolis, J. F. (2021). The Role of Temperature Variability on Seasonal Electricity Demand in the Southern US. Frontiers in Sustainable Cities, 3. https://doi.org/10.3389/frsc.2021.644789

Chalise, D., Aiyyer, A., & Sankarasubramanian, A. (2021). Tropical cyclones contribution to seasonal precipitation and streamflow using station-based data in Southeastern and Southcentral United States. Geophysical Research Letters, 48(15), e2021GL094738. https://doi.org/10.1029/2021GL094738

Mazrooei, A., Reitz, M., Wang, D., & Sankarasubramanian, A. (2021). Urbanization Impacts on Evapotranspiration Across Various Spatio-Temporal Scales. Earth’s Future, 9(8), e2021EF002045. https://doi.org/10.1029/2021EF002045

Chalise, D., Arumugam, S., Mahinthakumar, G., Ranjithan, R. S., Eaton, M., & Vidal, A. R. (2020, December 15). A framework for ecological flow allocation in multiple reservoir operation. Presented at the American Geophysical Union Fall Meeting.

Das Bhowmik, R., & Sankarasubramanian, A. (2020). A performance‐based multi‐model combination approach to reduce uncertainty in seasonal temperature change projections. International Journal of Climatology, 41(S1), E2615–E2632. https://doi.org/10.1002/joc.6870

Lall, U., Arumugam, S., Cioffi, F., Devineni, N., Doss-Gollin, J., Kwon, H., & Rajagopalan, B. (2020, December 15). America's Water: Multiscale Forecasting and Innovation in Infrastructure Design & Management Instruments is critical for Climate Adaptation. Presented at the American Geophysical Union Fall Meeting.

Ford, L. C., Queiroz, A., DeCarolis, J., & Arumugam, S. (2020, December 15). COREGS: An optimization framework to analyze water and power systems together under a changing climate. Presented at the American Geophysical Union Fall Meeting.

Basu, B., Bhowmik, R. D., & Sankarasubramanian, A. (2020). Changing Seasonality of Annual Maximum Floods over the Conterminous US. Earth and Space Science Open Archive ESSOAr; https://doi.org/10.1002/essoar.10504706.1

Arumugam, S. (2020, October). Climate and Water Management: Opportunities and Challenges” by the Government of India (Invited talk). Presented at the Government of India, Vaibhav Summit.

Mukhopadhyay, S., Sankarasubramanian, A., & Awasthi, C. (2020). Developing the hydrological dependency structure between streamgage and reservoir networks. Scientific Data, 7(1), 319. https://doi.org/10.1038/s41597-020-00660-6

Xuan, Y., Ford, L., Mahinthakumar, K., De Souza Filho, A., Lall, U., & Sankarasubramanian, A. (2020). GRAPS: Generalized Multi-Reservoir Analyses using probabilistic streamflow forecasts. Environmental Modelling & Software, 133, 104802. https://doi.org/10.1016/j.envsoft.2020.104802

Sankarasubramanian, A., Wang, D., Archfield, S., Reitz, M., Vogel, R. M., Mazrooei, A., & Mukhopadhyay, S. (2020). HESS Opinions: Beyond the long-term water balance:  evolving Budyko's supply–demand framework for the  Anthropocene towards a global synthesis of land-surface  fluxes under natural and human-altered watersheds. Hydrology and Earth System Sciences, 24(4), 1975–1984. https://doi.org/10.5194/hess-24-1975-2020

Das Bhowmik, R., Seo, S. B., Das, P., & Sankarasubramanian, A. (2020). Synthesis of Irrigation Water Use in the United States: Spatiotemporal Patterns. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 146(7). https://doi.org/10.1061/(ASCE)WR.1943-5452.0001249

Mazrooei, A., Sankarasubramanian, A., & Lakshmi, V. (2020). Technical Note: Evaluation of the skill in monthly-to-seasonal  soil moisture forecasting based on SMAP satellite  observations over the southeastern US. Hydrology and Earth System Sciences, 24(3), 1073–1079. https://doi.org/10.5194/hess-24-1073-2020

Yao, L., Libera, D. A., Kheimi, M., Sankarasubramanian, A., & Wang, D. (2020). The Roles of Climate Forcing and Its Variability on Streamflow at Daily, Monthly, Annual, and Long‐Term Scales. Water Resources Research, 56(7). https://doi.org/10.1029/2020WR027111

Yao, L., Libera, D., Kheimi, M. M. A., Arumugam, S., & Wang, D. (2020, January 29). The Roles of Climate Variability on Runoff at Daily, Monthly, Annual, and Long-term Scales (Vol. 1). Vol. 1. https://doi.org/10.1002/essoar.10501784.1

Merwade, V., Yeghiazarian, L., Arumugam, S., Cai, X., Shepherd, A., Johnson, M., & Riasi, M. S. (2020, December 15). The Urban Flooding Open Knowledge Network: Delivering Flood Information to AnyOne, AnyTime AnyWhere. Presented at the American Geophysical Union Fall Meeting.

Kumar, H., Arumugam, S., & Zhu, T. (2020, December 15). Understanding the food-energy-water nexus through hydroeconomic modeling under near-term climate change and regional development portfolios. Presented at the American Geophysical Union Fall Meeting.

Arumugam, S. (2020, October). Water Security under changing climate: Stressors, Opportunities and Challenges. Presented at the University of Colorado, Boulder.

Mukhopadhyay, S., Mazrooei, A., & Arumugam, S. (2019). A Geo-processing Tool for co-locating the dependency of critical infrastructure with hydrologic information network. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Arumugam, S. (2019). Challenges in Understanding Continental Scale Groundwater Variability, Change and Appropriation. Presented at the National Academies Workshop on Groundwater Recharge and Flow: Approaches and Challenges for Monitoring and Modeling Using Remotely Sensed Data, Washington, DC.

Ford, L., Queiroz, A., DeCarolis, J., & Arumugam, S. (2019). Climate-Water-Energy Nexus: An Integrated Modeling Framework to Analyze Water and Power Systems Under a Changing Climate. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Huang, Y.-N., Reich, B. J., Fuentes, M., & Sankarasubramanian, A. (2019). Complete spatial model calibration. The Annals of Applied Statistics, 13(2), 746–766. https://doi.org/10.1214/18-aoas1219

Mazrooei, A., Arumugam, S., & Wang, D. (2019). How Regional Evapotranspiration Fluxes are altered due to Urbanization? Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Ruhi, A., Hwang, J., Devineni, N., Mukhopadhyay, S., Kumar, H., Comte, L., … Arumugam, S. (2019). How does flow alteration propagate across a large, highly-regulated basin? Dam attributes, network context, and implications for biodiversity. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Chalise, D., Arumugam, S., & Ruhi, A. (2019). Human and climate variables explain spatio-temporal patterns of streamflow variation across the United States. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Mazrooei, A., & Sankarasubramanian, A. (2019). Improving monthly streamflow forecasts through assimilation of observed streamflow for rainfall-dominated basins across the CONUS. Journal of Hydrology, 575, 704–715. https://doi.org/10.1016/j.jhydrol.2019.05.071

Bhowmik, R. D., & Sankarasubramanian, A. (2019). Limitations of univariate linear bias correction in yielding cross‐correlation between monthly precipitation and temperature. International Journal of Climatology, 39(11), 4479–4496. https://doi.org/10.1002/joc.6086

de Queiroz, A. R., Mulcahy, D., Sankarasubramanian, A., Deane, J. P., Mahinthakumar, G., Lu, N., & DeCarolis, J. F. (2019). Repurposing an energy system optimization model for seasonal power generation planning. Energy, 181, 1321–1330. https://doi.org/10.1016/j.energy.2019.05.126

Awasthi, C., Archfield, S. A., Kiang, J. E., Ryberg, K. R., & Arumugam, S. (2019). Revising Flood-Frequency Curves under Climate Change in the United States. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Yeghiazarian, L., Merwede, V., Golden, H. E., Arumugam, S., Welty, C., Bales, J., & Cai, X. (2019). Sustainable Urban Systems: Managing the Urban Multiplex and its Hydrologic Challenges. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Tu, T., Arumugam, S., Dong, X., Dyckman, C., Grantham, T., Olson, L. J., … Ruhi, A. (2019). Sustainable Water Management in the Lower Colorado Basin: Influence of Climate and Regulatory Context on the Ability to Meet Human and Environmental Water Needs. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Yao, L., Libera, D., Kheimi, M., Arumugam, S., & Wang, D. (2019). The Roles of Climate Variability on Runoff at Daily, Monthly, Inter-annual, and Mean Annual Scales. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Mazrooei, A., Arumugam, S., & Wood, A. (2019). The Utility of Gauge-measured Streamflow Records in Improving Month-ahead Streamflow Forecasts through Variational Data Assimilation. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Kumar, H., & Arumugam, S. (2019). The role of climate on crop yield per unit area across the contiguous United States. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Seo, S. B., Das Bhowmik, R., Sankarasubramanian, A., Mahinthakumar, G., & Kumar, M. (2019). The role of cross-correlation between precipitation and temperature in basin-scale simulations of hydrologic variables. Journal of Hydrology, 570, 304–314. https://doi.org/10.1016/J.JHYDROL.2018.12.076

Mukhopadhyay, S., Wood, A., Arumugam, S., & Rajagopalan, B. (2019). Understanding Drivers of Subseasonal to Seasonal Streamflow Variability over Contiguous United States. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Libera, D., Wang, D., & Arumugam, S. (2019). Using an Integrated Groundwater and Surface Water Model for Understanding the Effects of Climate Change Scenarios on the Food-Energy-Water Nexus. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Mazrooei, A., Sankarasubramanian, A., & Wood, A. W. (2019). Variational Assimilation of Streamflow Observations in Improving Monthly Streamflow Forecasting [Preprint]. Hydrology and Earth System Sciences. https://doi.org/10.5194/hess-2019-288

Archfield, S. A., Ryberg, K. R., Blum, A. G., Barth, N. A., Awasthi, C., Li, H., … Arumugam, S. (2019). What defines a flood? Building shared understanding across differing attributes and definitions of flooding. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Arumugam, S., Wang, D., & Devineni, N. (2018). A Conceptual Approach using the Limits Concept for Extending Budyko's Framework for Natural Watersheds and Human-Altered Landscapes. Presented at the American Geophysical Union Fall Meeting, Washington, DC.

Libera, D. A., Sankarasubramanian, A., Sharma, A., & Reich, B. J. (2018). A non-parametric bootstrapping framework embedded in a toolkit for assessing water quality model performance. Environmental Modelling & Software, 107, 25–33. https://doi.org/10.1016/j.envsoft.2018.05.013

Mukhopadhyay, S., & Arumugam, S. (2018). Application of Sub-seasonal to Seasonal (S2S) precipitation forecast in multipurpose multi-reservoir system for water and energy management. Presented at the American Geophysical Union Fall Meeting, Washington, DC.

Seo, S. B., Mahinthakumar, G., Sankarasubramanian, A., & Kumar, M. (2018). Assessing the restoration time of surface water and groundwater systems under groundwater pumping. Stochastic Environmental Research and Risk Assessment, 32(9), 2741–2759. https://doi.org/10.1007/s00477-018-1570-9

Jayaprakasan, P., Uma, R. N., & Sankarasubramanian, A. (2018). Characterizing and Predicting Yelp Users' Behavior. HIGHLIGHTING THE IMPORTANCE OF BIG DATA MANAGEMENT AND ANALYSIS FOR VARIOUS APPLICATIONS, Vol. 27, pp. 17–35. https://doi.org/10.1007/978-3-319-60255-4_2

Arumugam, S. (2018, October). Climate-Water-Energy Nexus: Opportunities and Challenge. Presented at the CoPE workshop, Atlanta, Georgia.

Arumugam, S. (2018). Climate-Water-Energy Nexus: Uncertainty Reduction in Climate Forecasts Using Multimodel Combination and their Relevance to Water and Energy Management. Presented at the World Council for Energy and Climate, Shanghai.

Climate-Water-Energy Nexus: Uncertainty Reduction in Climate Forecasts using Multimodel Combination and their relevance to Water and Energy Management. (2018, June 19). Presented at the Indian Institute of Science.

Seo, S. B., Mahinthakumar, G., Sankarasubramanian, A., & Kumar, M. (2018). Conjunctive Management of Surface Water and Groundwater Resources under Drought Conditions Using a Fully Coupled Hydrological Model. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 144(9). https://doi.org/10.1061/(asce)wr.1943-5452.0000978

Chalise, D. R., Arumugam, S., & Ruhi, A. (2018). Effects of dam purpose and degree of regulation on flow regime alteration over the continental United States. Presented at the American Geophysical Union Fall Meeting, Washington, DC.

Yao, L., Wang, D., Libera, D., & Arumugam, S. (2018). Evaluating the Controls of the Long-Term Water Balance through a Conceptual Hydrological Model Representing Saturation Excess and Infiltration Excess Runoff Generations. Presented at the American Geophysical Union Fall Meeting, Washington, DC.

Mazrooei, A., Reitz, M., & Arumugam, S. (2018). Global assessment of evapotranspiration impacted by anthropogenic land cover changes. Presented at the American Geophysical Union Fall Meeting, Washington, DC.

Das, P., Patskoski, J., & Sankarasubramanian, A. (2018). Modeling the Irrigation Withdrawals Over the Coterminous US Using a Hierarchical Modeling Approach. Water Resources Research, 54(6), 3769–3787. https://doi.org/10.1029/2017wr021723

Petersen, T., Devineni, N., & Sankarasubramanian, A. (2018). Monthly hydroclimatology of the continental United States. ADVANCES IN WATER RESOURCES, 114, 180–195. https://doi.org/10.1016/j.advwatres.2018.02.010

Libera, D. A., & Sankarasubramanian, A. (2018). Multivariate bias corrections of mechanistic water quality model predictions. Journal of Hydrology, 564, 529–541. https://doi.org/10.1016/j.jhydrol.2018.07.043

Mukhopadhyay, S., Patskoski, J. M., & Sankarasubramanian, A. (2018). Role of Pacific SSTs in improving reconstructed streamflow over the coterminous US. Scientific Reports, 8(1). https://doi.org/10.1038/s41598-018-23294-6

Wood, A. W., Sankarasubramanian, A., & Mendoza, P. (2018). Seasonal Ensemble Forecast Post-processing. In Handbook of Hydrometeorological Ensemble Forecasting (pp. 1–27). https://doi.org/10.1007/978-3-642-40457-3_37-1

Synthesis of public water supply use in the United States and China: Spatio-temporal patterns and socio-economic controls. (2018, May). Presented at the Tsinghua University, Beijing.

Arumugam, S. (2018, April). Synthesis on National Water Use: Spatial Patterns and Socio-economic Controls, State of America’s Water: Present and Future. Presented at the University of Cincinnati, Cincinnati, Ohio.

Arumugam, S. (2018, January). Synthesis on National Water Use: Spatial Patterns and Socio-economic Controls, State of America’s Water: Present and Future. Presented at the NOAA Science Seminar Series.

Libera, D., Wang, D., Yao, l., & Arumugam, S. (2018). The Role of Spatial Variability of Climate Variables on the Long-Term Water Balance Using a Semi-distributed (SWAT) Mechanistic Model. Presented at the American Geophysical Union Fall Meeting, Washington, DC.

Ruhi, A., Worland, S., Mukhopadhyay, S., Devineni, N., Chalise, D., Salinas, J. L., … Arumugam, S. (2018). Understanding the cumulative effects of dams on regional streamflow dynamics. Presented at the American Geophysical Union Fall Meeting, Washington, DC.

Sankarasubramanian, A., Mahinthakumar, G., & Berglund, E. (2018). 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].

Lall, U., Johnson, T., Colohan, P., Aghakouchak, A., Arumugam, S., Brown, C., … Pulwarty, R. S. (2018). Water. In D. R. Reidmiller, C. W. Avery, D. R. Easterling, K. E. Kunkel, K. L. M. Lewis, T. K. Maycock, & B. C. Stewart (Eds.), Impacts, Risks, and Adaptation in the United States: The Fourth National Climate Assessment, Volume II. https://doi.org/10.7930/NCA4.2018.CH3

Johnson, T., Lall, U., AghaKouchak, A., Arumugam, S., Brown, C., McCabe, G. J., Jr., … Lustig, A. (2018). Water: Fourth U.S. National Climate Assessment (NCA4) Volume 2, Chapter 3. Presented at the American Geophysical Union Fall Meeting, Washington, DC.

Patskoski, J. S., Mukhopadhyaya, S., & Arumugam, S. (2017, May 21). A Hybrid Approach Towards Streamflow Reconstruction Using Tree-ring Chronologies and Ssts over the United States. Presented at the World Environmental & Water Resources Congress (EWRI), Sacramento, CA.

Sankarasubramanian, A. (2017). Climate Informed Uncertainty Analyzes for Integrated Water Resources Sustainability [Technical Report]. National Science Foundation.

Mazrooei, A., Arumugam, S., Lakshmi, V., & Wood, A. (2017, December 11). Data Assimilation using observed streamflow and remotely-sensed soil moisture for improving sub-seasonal-to-seasonal forecasting. Presented at the American Geophysical Union Fall meeting, New Orleans, LA.

Arumugam, S. (2017, July). Decomposition of Sources of Errors in Seasonal Streamflow Forecasting over the US Sunbelt. Presented at the University Council for Atmospheric Research, Boulder, Colorado.

Mukhopadhyaya, S., Quieroz, A., & Arumugam, S. (2017, May 21). Equivalent Reservoir Modeling for Multipurpose and Multi-reservoir Systems over the Southern United States. Presented at the World Environmental & Water Resources Congress (EWRI), Sacramento, CA.

Seo, S. B., Bhowmik, R. D., Mahinthakumar, G., & Arumugam, S. (2017, May 21). Impact of Correlation Between Precipitation and Temperature on Hydrologic Simulations. Presented at the World Environmental & Water Resources Congress (EWRI), Sacramento, CA.

Arumugam, S., Mazrooei, A., & Cumbie-Ward, R. (2017, December 11). Integrated Drought Monitoring and Forecasts for Decision Making in Water and Agricultural Sectors over the Southeastern US under Changing Climate. Presented at the American Geophysical Union Fall meeting, New Orleans, LA.

Libera, D., & Arumugam, S. (2017, December 11). Multivariate Bias Correction Procedures for Improving Water Quality Predictions from the SWAT Model. Presented at the American Geophysical Union Fall meeting, New Orleans, LA.

Bhowmik, R. D., Sankarasubramanian, A., Sinha, T., Patskoski, J., Mahinthakumar, G., & Kunkel, K. E. (2017). Multivariate Downscaling Approach Preserving Cross Correlations across Climate Variables for Projecting Hydrologic Fluxes. Journal of Hydrometeorology, 18(8), 2187–2205. https://doi.org/10.1175/JHM-D-16-0160.1

Kominoski, J. S., Ruhí, A., Hagler, M. M., Petersen, K., Sabo, J. L., Sinha, T., … Olden, J. D. (2017). Patterns and drivers of fish extirpations in rivers of the American Southwest and Southeast. Global Change Biology, 24(3), 1175–1185. https://doi.org/10.1111/gcb.13940

Bhowmik, R. D., Sharma, A., & Sankarasubramanian, A. (2017). Reducing Model Structural Uncertainty in Climate Model Projections—A Rank-Based Model Combination Approach. Journal of Climate, 30(24), 10139–10154. https://doi.org/10.1175/JCLI-D-17-0225.1

Patskoski, J., & Sankarasubramanian, A. (2017). Reducing uncertainty in stochastic streamflow generation and reservoir sizing by combining observed, reconstructed and projected streamflow. Stochastic Environmental Research and Risk Assessment, 32(4), 1065–1083. https://doi.org/10.1007/s00477-017-1456-2

Mukhopadhyaya, S., & Arumugam, S. (2017, December 11). Sub-seasonal-to-seasonal Reservoir Inflow Forecast using Bayesian Hierarchical Hidden Markov Model. Presented at the American Geophysical Union Fall meeting, New Orleans, LA.

Sankarasubramanian, A., Sabo, J. L., Larson, K. L., Seo, S. B., Sinha, T., Bhowmik, R., … Kominoski, J. (2017). Synthesis of public water supply use in the United States: Spatio‐temporal patterns and socio‐economic controls. Earth's Future, 5(7), 771–788. https://doi.org/10.1002/2016ef000511

Arumugam, S. (2017, March). Uncertainty Reduction in Climate Forecasts using Multimodel Combination and their Relevance to Water and Energy Management. Presented at the University of South Carolina, Columbia, SC.

Arumugam, S. (2017, April). Utilizing Climate Information for Improving Water, Energy, & Ecological Management. Presented at the Southeast Climate Science Center, Raleigh, NC.

Mazrooei, A., & Arumugan, S. (2017, May 21). Utilizing Enkf Data Assimilation in Improving ‘abcd’ Lumped Water Balance Model Performance. Presented at the World Environmental & Water Resources Congress (EWRI), Sacramento, CA.

Mazrooei, A., & Sankarasubramanian, A. (2017). Utilizing Probabilistic Downscaling Methods to Develop Streamflow Forecasts from Climate Forecasts. Journal of Hydrometeorology, 18(11), 2959–2972. https://doi.org/10.1175/JHM-D-17-0021.1

Arumugam, S. (2016, February). Climate Variability and its Impacts over the Southeast. Presented at the Columbia University, New York.

Mazrooei, A., & Arumugam, S. (2016, May 22). Developing Categorical Streamflow Forecasts from Climate Forecasts Using Probabilistic Downscaling Methods. Presented at the World Environmental and Water Resources Congress (EWRI), West Palm Beach, FL.

Vogel, R. M., & Arumugam, S. (2016). Flood forecasting a global perspective foreword. Flood Forecasting: A Global Perspective, XVII-. https://doi.org/10.1016/b978-0-12-801884-2.10000-3

Seo, S. B., Sinha, T., Mahinthakumar, G., Sankarasubramanian, A., & Kumar, M. (2016). Identification of dominant source of errors in developing streamflow and groundwater projections under near-term climate change. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 121(13), 7652–7672. https://doi.org/10.1002/2016jd025138

Bhowmik, R. D., & Arumugam, S. (2016, May 22). Importance of Preserving Cross-correlation in developing Statistically Downscaled Climate Forcings. Presented at the World Environmental & Water Resources Congress (EWRI), West Palm Beach, FL.

Libera, D., & Arumugam, S. (2016, May 22). Multivariate Bias Correction Procedures for Improving Water Quality Predictions using Mechanistic Models. Presented at the World Environmental and Water Resources Congress (EWRI), West Palm Beach, FL.

Das, P., & Arumugam, S. (2016, May 22). Predictive Classical and Hierarchical Bayesian Modeling for Yearly Irrigation Water Withdrawal over the Coterminous USA. Presented at the World Environmental and Water Resources Congress (EWRI), West Palm Beach, FL.

Li, W., Sankarasubramanian, A., Ranjithan, R. S., & Sinha, T. (2016). Role of multimodel combination and data assimilation in improving streamflow prediction over multiple time scales. Stochastic Environmental Research and Risk Assessment, 30(8), 2255–2269. https://doi.org/10.1007/s00477-015-1158-6

Arumugam, S., Ruhi, A., Sabo, J., Sinha, T., Seo, S. B., & Bhowmik, R. D. (2016, December 12). Synthesis of US Public Water Supply: Spatio-temporal Patterns and Socio-Economic Controls. Presented at the American Geophysical Union Fall meeting, San Francisco, CA.

Seo, S. B., Mahinthakumar, G., Arumugam, S., & Kumar, M. (2016, May 22). Understanding the Effects of Groundwater Pumping on Streamflow: Human-Feedback Analysis on Downstream Impacts and Relevance to Reservoir Management. Presented at the World Environmental & Water Resources Congress (EWRI), West Palm Beach, Florida.

Arumugam, S., Quieroz, A., Patskoski, J., Mahinthakumar, G., & DeCarolis, J. (2016, December 12). Utilizing Climate Forecasts for Improving Water and Power Systems Coordination. Presented at the American Geophysical Union Fall meeting, San Francisco, CA.

Arumugam, S. (2016, March). Water and ecological sustainability under near-term climate change. Presented at the Water Sustainability and Climate (WSC) PI meeting, National Science Foundation.

Wang, H., Brill, E. D., Ranjithan, R. S., & Sankarasubramanian, A. (2015). A framework for incorporating ecological releases in single reservoir operation. Advances in Water Resources, 78, 9–21. https://doi.org/10.1016/j.advwatres.2015.01.006

Arumugam, S. (2015, March 23). Climate-Water-Energy Nexus: Opportunities and Challenges. Presented at the Private Sector Partnership Forum: Climate Services and Decision Support Tools for the Energy Sector, World Meteorological Organization, Geneva.

Mazrooei, A., Sinha, T., Sankarasubramanian, A., Kumar, S., & Peters‐Lidard, C. D. (2015). Decomposition of sources of errors in seasonal streamflow forecasting over the U.S. Sunbelt. Journal of Geophysical Research: Atmospheres, 120(23). https://doi.org/10.1002/2015jd023687

Sankarasubramanian, A., Boyles, R., Mazoorei, A., & Singh, H. (2015). Experimental Reservoir Storage Forecasts Utilizing Climate-Information Based Streamflow Forecasts [Technical Report]. Raleigh, NC: NC Water Resources Research Institute.

Singh, H., Sinha, T., & Sankarasubramanian, A. (2015). Impacts of Near-Term Climate Change and Population Growth on Within-Year Reservoir Systems. Journal of Water Resources Planning and Management, 141(6), 04014078. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000474

Patskoski, J., & Sankarasubramanian, A. (2015). Improved reservoir sizing utilizing observed and reconstructed streamflows within a Bayesian combination framework. Water Resources Research, 51(7), 5677–5697. https://doi.org/10.1002/2014wr016189

Arumugam, S. (2015, October). Leonardo da Vinci: Contribution of the renaissance artist towards water management. Presented at the North Carolina Museum of Arts, Raleigh, NC.

Patskoski, J., Sankarasubramanian, A., & Wang, H. (2015). Reconstructed streamflow using SST and tree-ring chronologies over the southeastern United States. JOURNAL OF HYDROLOGY, 527, 761–775. https://doi.org/10.1016/j.jhydrol.2015.05.041

Arumugam, S. (2015, October). Synthesis on National Water Use: Spatial Patterns and Controls. Presented at the Tufts University, Medford, MA.

Arumugam, S. (2015, May). Synthesis on National Water Use: Spatial Patterns and Socio-economic Controls, State of America’s Water: Present and Future. Presented at the CUAHSI- Columbia Water Center Cyber seminar series.

Arumugam, S., Ruhi, A., Sabo, J., Sinha, T., Seo, S. B., & Bhowmik, R. D. (2015, December 14). The role of hydroclimate and water use on freshwater sustainability over the Coterminous US. Presented at the American Geophysical Union Fall meeting, San Francisco, CA.

Wang, H., Sankarasubramanian, A., & Ranjithan, R. S. (2015). Understanding the low-frequency variability in hydroclimatic attributes over the southeastern US. JOURNAL OF HYDROLOGY, 521, 170–181. https://doi.org/10.1016/j.jhydrol.2014.09.081

Ali, A. M., Shafiee, M. E., Berglund, E. Z., & Arumugam, S. (2014). An Agent-Based Modeling Approach to Simulate the Dynamics of Water Supply and Water Demand. World Environmental and Water Resources Congress 2014. Presented at the World Environmental and Water Resources Congress 2014. https://doi.org/10.1061/9780784413548.179

Robertson, A. W., Baethgen, W., Block, P., Lall, U., Sankarasubramanian, A., de Assis de Souza Filho, F., & J Verbist, K. M. (2014). Climate risk management for water in semi–arid regions. Earth Perspectives, 1(1), 12. https://doi.org/10.1186/2194-6434-1-12

Sinha, T., Sankarasubramanian, A., & Mazrooei, A. (2014). Decomposition of Sources of Errors in Monthly to Seasonal Streamflow Forecasts in a Rainfall-Runoff Regime. JOURNAL OF HYDROMETEOROLOGY, 15(6), 2470–2483. https://doi.org/10.1175/jhm-d-13-0155.1

Zaved, M., Khan, K., Mehrotra, R., Sharma, A., & Sankarasubramanian, A. (2014). Global Sea Surface Temperature Forecasts Using an Improved Multimodel Approach. JOURNAL OF CLIMATE, 27(10), 3505–3515. https://doi.org/10.1175/jcli-d-13-00486.1

Arumugam, S. (2014, December 15). Implications of Water Use and Hydroclimatic Anomalies on the Freshwater Sustainability across the US Sunbelt. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Arumugam, S., & Lall, U. (2014, December 15). Improved Water and Energy Management Utilizing Seasonal to Interannual Hydroclimatic Forecasts. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Li, W., Sankarasubramanian, A., Ranjithan, R. S., & Brill, E. D. (2014). Improved regional water management utilizing climate forecasts: An interbasin transfer model with a risk management framework. Water Resources Research, 50(8), 6810–6827. https://doi.org/10.1002/2013wr015248

Arumugam, S., Wood, A., Rajagopalan, B., & Schaake, J. (2014). Improving Forecasts for Water Management. Eos, Transactions American Geophysical Union, 95(1), 3–3. https://doi.org/10.1002/2014EO010004

Almanaseer, N., Sankarasubramanian, A., & Bales, J. (2014). Improving Groundwater Predictions Utilizing Seasonal Precipitation Forecasts from General Circulation Models Forced with Sea Surface Temperature Forecasts. JOURNAL OF HYDROLOGIC ENGINEERING, 19(1), 87–98. https://doi.org/10.1061/(asce)he.1943-5584.0000776

Patskoski, J., & Arumugam, S. (2014, June). Reducing the uncertainty in projecting future streamflow using paleo and instrumental records along with near-term climate change projections. Presented at the Tufts University, Medford, MA.

Singh, H., & Sankarasubramanian, A. (2014). Systematic uncertainty reduction strategies for developing streamflow forecasts utilizing multiple climate models and hydrologic models. WATER RESOURCES RESEARCH, 50(2), 1288–1307. https://doi.org/10.1002/2013wr013855

Sinha, T., & Arumugam, S. (2014, June 18). The Utility of CMIP5 Climate Change Projections in Estimating Hydrologic Impacts in the Conterminous US. Presented at the UCOWR-NIWR-CUAHSI International Conference, Tufts University, Medford, MA.

Oh, J., Sinha, T., & Sankarasubramanian, A. (2014). The role of retrospective weather forecasts in developing daily forecasts of nutrient loadings over the southeast US. Hydrology and Earth System Sciences, 18(8), 2885–2898. https://doi.org/10.5194/hess-18-2885-2014

Arumugam, S. (2014, January 28). Water and ecological sustainability under near-term climate change. Presented at the Water Sustainability and Climate (WSC) PI meeting, National Institute of Food and Agriculture.

Lord, B., Zechman, E., & Arumugam, S. (2013). A Complex Adaptive System Approach Assessing the Dynamics of Population Growth, Land Use, and Climate Change for Urban Water Resources Management. World Environmental and Water Resources Congress 2013. Presented at the World Environmental and Water Resources Congress 2013, Cincinnati, Ohio. https://doi.org/10.1061/9780784412947.281

Ranjithan, R. S., Touma, D., Brill, E. D., & Sankarasubramanian, A. (2013, May 19). A Quantitative Framework for Assessing the Effects of Climate and Land-use Change on Streamflow. Presented at the World Environmental & Water Resources (EWRI) Conference, Cincinnati, Ohio.

Arumugam, S. (2013, March). Climate, Water and Energy Management in the Greater Horn of Africa. Presented at the Workshop on Water and Climate Change in Africa, Duke University, Durham, NC.

Arumugam, S. (2013, February). Climate-informed Uncertainty Analyses for Water and Energy Management. Presented at the Nicholas School of Environmental Policy, Duke University, Durham, NC.

Mazoorei, A., Sinha, T., & Arumugam, S. (2013, July 28). Decomposition of Sources of Errors in developing Seasonal Streamflow Forecasts over the Sunbelt. Presented at the American Geophysical Union Chapman Conference, Seasonal to Interannual Hydroclimatic Forecasts and Water Management, Portland, OR.

Sinha, T., Mazoorei, A., Arumugam, S., & Boyles, R. (2013, July). Experimental Inflow and Storage Forecasts for the State of NC. Presented at the American Geophysical Union Chapman Conference, Seasonal to Interannual Hydroclimatic Forecasts and Water Management, Portland, OR.

Sun, G., Caldwell, P. V., Georgakakos, A. P., Cruise, J., McNider, R. T., Terando, A., … Covich, A. (2013). Impacts of Climate Change and Variability on Water Resources in the Southeastern USA. In K. Ingram, K. Dow, L. Carter, J. Anderson, & E. K. Sommer (Eds.), Climate of the southeast United States : variability, change, impacts, and vulnerability. Washington, DC: Island Press.

Sankarasubramanian, A., & Ranjithan, R. S. (2013). Improved Water Resources Sustainability utilizing Multi Time-scale Streamflow Forecasts [Technical Report]. National Science Foundation.

Wang, H., Sankarasubramanian, A., & Ranjithan, R. S. (2013). Integration of Climate and Weather Information for Improving 15-Day-Ahead Accumulated Precipitation Forecasts. JOURNAL OF HYDROMETEOROLOGY, 14(1), 186–202. https://doi.org/10.1175/jhm-d-11-0128.1

Bhowmik, R., Arumugam, S., & Patskoski, J. (2013, July 28). Multivariate Downscaling of Decadal Climate Change Projections over the Sunbelt. Presented at the American Geophysical Union Chapman Conference, Seasonal to Interannual Hydroclimatic Forecasts and Water Management, Portland, OR.

Seo, S. B., Sinha, T., Mahinthakumar, G., & Arumugam, S. (2013, July 28). Near-term Climate Change Impacts on Surface water and groundwater interactions over the Sunbelt. Presented at the American Geophysical Union Chapman Conference, Seasonal to Interannual Hydroclimatic Forecasts and Water Management, Portland, OR.

Arumugam, S. (2013, March 11). Near-term Climate Change and Water Management over the Sunbelt. Presented at the Water Sustainability and Climate (WSC) PI meeting, National Science Foundation.

Sinha, T., & Arumugam, S. (2013). Role of climate forecasts and initial conditions in developing streamflow and soil moisture forecasts in a rainfall-runoff regime. Hydrology and Earth System Sciences, 17, 721–733.

Oludhe, C., Sankarasubramanian, A., Sinha, T., Devineni, N., & Lall, U. (2013). The Role of Multimodel Climate Forecasts in Improving Water and Energy Management over the Tana River Basin, Kenya. JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 52(11), 2460–2475. https://doi.org/10.1175/jamc-d-12-0300.1

Segura, C., Lazzati, D., & Sankarasubramanian, A. (2013). The use of broken power-laws to describe the distributions of daily flow above the mean annual flow across the conterminous U.S. Journal of Hydrology, 505, 35–46. https://doi.org/10.1016/j.jhydrol.2013.09.016

Sankarasubramanian, A., & Sinha, T. (2013). Uncertainty in Surface Water Availability over North Carolina under climate and land use changes [Technical Report]. NC Water Resources Research Institute.

Sankarasubramanian, A., & Lall, U. (2012, July). Climate Forecasts and Water Management. AGU Hydrology Section Newsletter.

Sankarasubramanian, A., Semazzi, F., & Hatch, U. (2012). Climate Information based Urban Water Supply and Energy Management in the Greater Horn of Africa [Technical Report]. National Oceanic and Atmospheric Administration.

Sinha, T., & Arumugam, S. (2012, December 3). Decomposition of Sources of Errors in Seasonal Streamflow Forecasts in a Rainfall-Runoff Dominated Basin. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Patskoski, J., & Arumugam, S. (2012, December 3). Estimating Required Reservoir Storage from Synthetically Generated Streamflow through a Hierarchical Bayesian Framework Combining Observed and Paleo Streamflow. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Sankarasubramanian, A., Lall, U., & Rajagopalan, B. (2012). Floods and Changing Climate: Seasonal Forecasts and Reconstruction. In A. H. El-Shaarawl & W. W. Piegorsch (Eds.), Encyclopedia of Environmetrics (2nd ed.). https://doi.org/10.1002/9780470057339.vnn045

Sun, G., Caldwell, P. V., Georgakakos, A. P., Sankarasubramanian, A., Cruise, J., McNider, R. T., … Marion, D. A. (2012). Impacts of Climate Change and Variability on Water Resources in the Southeastern US. In Southeastern Regional Technical Report to the National Climate Change Assessment. Island Press.

Oh, J., & Sankarasubramanian, A. (2012). Interannual hydroclimatic variability and its influence on winter nutrient loadings over the Southeast United States. Hydrology and Earth System Sciences, 16(7), 2285–2298. https://doi.org/10.5194/hess-16-2285-2012

Patskoski, J., & Arumugam, S. (2012). Low-Dimensional Models of Annual Streamflow Using Tree Ring Data and Nino 3.4 Forecasts. World Environmental and Water Resources Congress 2012. Presented at the World Environmental And Water Resources Congress 2012. https://doi.org/10.1061/9780784412312.391

Arumugam, S. (2012, June). Probabilistic Water Quality Trading conditional on seasonal nutrient forecasts. Presented at the University of New South Wales, Sydney, Australia.

Li, W., & Sankarasubramanian, A. (2012). Reducing hydrologic model uncertainty in monthly streamflow predictions using multimodel combination. WATER RESOURCES RESEARCH, 48. https://doi.org/10.1029/2011wr011380

Arumugam, S. (2012, March 16). Role of Climate Variability in Modulating Surface Water and Groundwater Interaction over the Southeastern US. Presented at the NOAA in the Carolinas Conference, Charleston, SC.

Almanaseer, N., & Sankarasubramanian, A. (2012). Role of Climate Variability in Modulating the Surface Water and Groundwater Interaction over the Southeast United States. JOURNAL OF HYDROLOGIC ENGINEERING, 17(9), 1001–1010. https://doi.org/10.1061/(asce)he.1943-5584.0000536

Petersen, T., Devineni, N., & Sankarasubramanian, A. (2012). Seasonality of monthly runoff over the continental United States: Causality and relations to mean annual and mean monthly distributions of moisture and energy. JOURNAL OF HYDROLOGY, 468, 139–150. https://doi.org/10.1016/j.jhydrol.2012.08.028

Arumugam, S. (2012, April). Uncertainty Reduction in Climate Forecasts using Multimodel Combination and their Relevance to Water Management. Presented at the Earth System Science Interdisciplinary Center, University of Maryland, College Park.

Arumugam, S. (2012, August). Uncertainty Reduction in Climate Forecasts using Multimodel Combination and their Relevance to Water Management. Presented at the CSIRO (Land and Water), Melbourne, Australia.

Arumugam, S. (2011, April 1). Climate Forecasts and Water Management: Opportunities and Challenges. Presented at the CUAHSI National Cyberseminar Series.

Almanaseer, N., Arumugam, S., & Bales, J. (2011, December 5). Improving Groundwater Predictions using Seasonal Precipitation Forecasts. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Liu, L., Sankarasubramanian, A., & Ranjithan, S. R. (2011). Logistic regression analysis to estimate contaminant sources in water distribution systems. Journal of Hydroinformatics, 13(3), 545–557. https://doi.org/10.2166/hydro.2010.106

Wang, H., Arumugam, S., & Ranjithan, R. S. (2011). Low-frequency oscillation in annual precipitation and streamflow over Southeastern United States. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Patskoski, J., & Arumugam, S. (2011, December 5). Predicting Streamflow in the Southeastern United States using Climate and Tree Ring Data. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Sinha, T., & Arumugam, S. (2011). Role of initial conditions and climate variability on seasonal streamflow forecasting in the southeastern US. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Sankarasubramanian, A., & Boyles, R. (2011). Seasonal Streamflow Forecasts for the Hydrologic Unit Code (HUC-8) Basins in North Carolina utilizing Multimodel Climate Forecasts [Research Report]. NC-Water Resources Research Institute.

Singh, H., & Arumugam, S. (2011). Systematic uncertainty reduction in streamflow forecasts development: Importance of Input and Hydrologic Model Uncertainty. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Arumugam, S. (2011, August). Uncertainty Reduction in Streamflow Predictions over Multiple Time Scales. Presented at the Hydrological Sciences Branch, NASA Goddard Space Flight Center, Greenbelt, MD.

Li, W., Arumugam, S., & Ranjithan, R. S. (2011). Utility of Climate Forecasts in promoting optimal inter-basin transfer in the North Carolina Triangle Area. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Arumugam, S. (2011, August 5). Utility of Multimodel Climate Forecasts in Improving Reservoir Management. Presented at the Cooperative Institute of Climate and Satellites, National Climatic Data Center, Asheville, NC.

Sankarasubramanian, A. (2011). Vulnerability of Coastal Watersheds to Climate Change and Variability [Technical Report]. NC Sea Grant and NC Water Resources Research Institute.

Oh, J., & Arumugam, S. (2010). Climate, Streamflow, and Nutrients Variability Over the Southeastern United States. World Environmental and Water Resources Congress 2010. Presented at the World Environmental and Water Resources Congress 2010. https://doi.org/10.1061/41114(371)458

Almanaseer, N., & Arumugam, S. (2010). Climate-Groundwater-Surface Water Interrelationships Over the South Eastern US. World Environmental and Water Resources Congress 2010. Presented at the World Environmental and Water Resources Congress 2010. https://doi.org/10.1061/41114(371)84

Devineni, N., & Arumugam, S. (2010). Climatology of Monthly Runoff: Causality and Relations to Seasonality in Precipitation and Temperature. World Environmental and Water Resources Congress 2010. Presented at the World Environmental and Water Resources Congress 2010. https://doi.org/10.1061/41114(371)457

Devineni, N., & Sankarasubramanian, A. (2010). Improved categorical winter precipitation forecasts through multimodel combinations of coupled GCMs. GEOPHYSICAL RESEARCH LETTERS, 37. https://doi.org/10.1029/2010gl044989

Devineni, N., & Sankarasubramanian, A. (2010). Improving the prediction of winter precipitation and temperature over the continental United States: Role of the ENSO state in developing multimodel combinations. Monthly Weather Review, 138(6), 2447–2468. https://doi.org/10.1175/2009mwr3112a.1

Wang, H., Arumugam, S., & Ranjithan, R. S. (2010). Interannual to Decadal Variability in Hydroclimatic Data: Analyses and Implications to Water Management. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Oh, J., & Arumugam, S. (2010). Probabilistic Water quality trading model conditioned on season-ahead nutrient load forecasts. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Almanaseer, N., Arumugam, S., & Bales, J. (2010, December 12). Role of Climate Variability in Modulating Surface Water and Groundwater Interaction over the Southeast United States. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Wang, H., Arumugam, S., & Ranjithan, R. S. (2010). Seamless Integration of Weather and Climate Information in Developing Operational Streamflow Forecasts. World Environmental and Water Resources Congress 2010. Presented at the World Environmental and Water Resources Congress 2010. https://doi.org/10.1061/41114(371)470

Li, W., Arumugam, S., & Ranjithan, R. S. (2010). The Role of Multimodel Combination and Data assimilation in Improving Streamflow Prediction. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Li, W., Arumugam, S., & Ranjithan, R. S. (2010). Utility of Climate Forecasts in Promoting Inter-Basin Transfer in the North Carolina Triangle Area. World Environmental and Water Resources Congress 2010. Presented at the World Environmental and Water Resources Congress 2010. https://doi.org/10.1061/41114(371)270

Sankarasubramanian, A., & Devineni, N. (2010). Utilizing Three-Month ahead Multimodel Streamflow Forecasts for Improving the Management Of Falls Lake [Research Report]. NC-Water Resources Research Institute.

Arumugam, S. (2009, July 19). Climate-informed Uncertainty Analyses for Integrated River Basin Management. Presented at the US-Korea Conference, Raleigh, NC.

Vankayala, P., Sankarasubramanian, A., Ranjithan, S. R., & Mahinthakumar, G. (2009). Contaminant Source Identification in Water Distribution Networks Under Conditions of Demand Uncertainty. ENVIRONMENTAL FORENSICS, 10(3), 253–263. https://doi.org/10.1080/15275920903140486

Golembesky, K., Sankarasubramanian, A., & Devineni, N. (2009). Improved drought management of Falls Lake Reservoir: Role of multimodel streamflow forecasts in setting up restrictions. Journal of Water Resources Planning and Management, 135(3), 188–197. https://doi.org/10.1061/(ASCE)0733-9496(2009)135:3(188)

Sankarasubramanian, A., Lall, U., Souza Filho, F. A., & Sharma, A. (2009). Improved water allocation utilizing probabilistic climate forecasts: Short-term water contracts in a risk management framework. Water Resources Research, 45(11). https://doi.org/10.1029/2009wr007821

Choudhury, P., & Sankarasubramanian, A. (2009). River Flood Forecasting Using Complementary Muskingum Rating Equations. JOURNAL OF HYDROLOGIC ENGINEERING, 14(7), 745–751. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000046

Arumugam, S. (2009, December). Role of Climate Variability and Change in Improving River Basin Management. Presented at the Indian Institute of Technology, Madras, Chennai, India.

Sankarasubramanian, A., Lall, U., Devineni, N., & Espinueva, S. (2009). The Role of Monthly Updated Climate Forecasts in Improving Intraseasonal Water Allocation. JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 48(7), 1464–1482. https://doi.org/10.1175/2009JAMC2122.1

Brown, C., Conrad, E., Sankarasubramanian, A., Someshwar, S., & Elazegui, D. (2009). The use of seasonal climate forecasts within a shared reservoir system:  The case of Angat reservoir, the Philippines. In F. Ludwig, P. Kabat, H. van Schaik, & M. van der Valk (Eds.), Climate Change Adaptation in the Water Sector. London: Earthscan.

Devineni, N., & Arumugam, S. (2008, October). Improved Drought Management of Falls Lake Reservoir: Role of Multimodel Streamflow Forecasts in Setting up Restrictions. Presented at the North Carolina  Water Resources Research Institute Annual Conference, Raleigh, NC.

Li, W., & Arumugam, S. (2008, October). Improving Hydrological Predictions through better representation of Model Uncertainty. Presented at the North Carolina Water Resources Research Institute Annual Conference, Raleigh, NC.

Devineni, N., Sankarasubramanian, A., & Ghosh, S. (2008). Multimodel ensembles of streamflow forecasts: Role of predictor state in developing optimal combinations. Water Resources Research, 44(9). https://doi.org/10.1029/2006wr005855

Arumugam, S. (2008, January). Role of Climate Forecasts in Meeting NC Future Water Supply Challenges. Presented at the North Carolina Society of Engineers.

Oh, J., & Arumugam, S. (2008, October). Role of Streamflow Seasonality in Influencing Water Quality Variability in the Southeastern US. Presented at the North Carolina  Water Resources Research Institute Annual Conference, Raleigh, NC.

Sankarasubramanian, A., Lall, U., & Espinueva, S. (2008). Role of retrospective forecasts of GCMs forced with persisted SST anomalies in operational streamflow forecasts development. JOURNAL OF HYDROMETEOROLOGY, 9(2), 212–227. https://doi.org/10.1175/2007JHM842.1

Arumugam, S., & Li, W. (2008). The Role of Multimodel Combinations in improving Streamflow Prediction. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Arumugam, S. (2007, July). Climate Informed Water Management. Presented at the Summer Ventures Program in Math and Science for High School Juniors and Seniors, North Carolina Central University, Durham, NC.

Broad, K., Pfaff, A., Taddei, R., Sankarasubramanian, A., Lall, U., & de Assis de Souza Filho, F. (2007). Climate, stream flow prediction and water management in northeast Brazil: societal trends and forecast value. Climatic Change, 84(2), 217–239. https://doi.org/10.1007/s10584-007-9257-0

Golembesky, K., Arumugam, S., & Devineni, N. (2007, March). Improved Management of Falls Lake Reservoir during the Summer Season using Climate Information based Monthly Streamflow Forecasts: Role of Restrictions in Water supply and Water quality management. Presented at the North Carolina Water Resources Research Institute Annual Conference, Raleigh, NC.

Devineni, N., Arumugam, S., & Ghosh, S. (2007, March). Multi-model Ensembling of Probabilistic Streamflow Forecasts: Role of Predictor State Space in Skill Evaluation. Presented at the North Carolina Water Resources Research Institute Annual Conference, Raleigh, NC.

Devineni, N., & Arumugam, S. (2007, December 10). Multimodel Ensembles of Streamflow Forecasts: Role ofPredictor State in Developing Optimal Combinations. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Arumugam, S., & Devineni, N. (2007, December 10). Predictability of U.S. Winter Precipitation: Role of ENSO state in Developing Multimodel Combinations. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Arumugam, S. (2006, October). Climate Forecasts and Reservoir Management – Possibilities and Challenges. Presented at the Central North Carolina American Meteorological Society.

Arumugam, S. (2006, March). Climate Forecasts and Reservoir Management – Possibilities and Challenges. Presented at the Nicholas School of the Environment and Earth Sciences, Duke University, Durham, NC.

Brown, A., Lall, U., & Arumugam, S. (2006). Climate-informed Decision Tools for the Water and Energy Sector (Invited Presentation). Presented at the 18th Conference on Climate Variability and Change, American Meteorological Society, Atlanta, GA.

Arumugam, S., & Lall, U. (2006). Improved Operation of Reservoir Systems – Utility of Seasonal and Monthly Updated Climate Forecasts. Presented at the 18th Conference on Climate Variability and Change, American Meteorological Society, Atlanta, GA.

Arumugam, S., Devineni, N., & Ghosh, S. (2006, December). Multi-model Ensembling of Probabilistic Streamflow Forecasts: Role of Predictor State Space in Skill Evaluation. Presented at the American Geophysical Union Fall Meeting, San Francisco.

Sankarasubramanian, A., Devineni, N., & Ghosh, S. (2006). Multi-model Ensembling of Probabilistic Streamflow Forecasts: Role of Predictor State Space in Skill Evaluation (Institute of Statistics Mimeo Series No. 2595). Raleigh, NC: North Carolina State University.

Arumugam, S. (2005, November). Climate Forecasts and Reservoir Management – Possibilities and Challenges. Presented at the U.S. Climate Change Science Program Workshop: Climate Science in Support of Decision making, Washington, DC.

Arumugam, S., & Lall, U. (2005, November). Climate Forecasts and Reservoir Management – Possibilities and Challenges. Presented at the Climate Change Science Program Workshop.

Arumugam, S. (2005, November). Climate Information based Streamflow Forecasts: Predictor Identification and Model Development, Presented at the Environmental Statistics Group, Department of Statistics, North Carolina State University, Raleigh, NC.

Ward, N. M., Hansen, J. W., Arumugam, S., Osgood, D., Zubair, L., Brown, C., & Mishra, A. (2005, November). Decision Systems Research and Tool Development at the IRI. Presented at the Climate Change Science Program Workshop.

Sankarasubramanian, A., & Lall, U. (2005). Dynamic Water Allocation Framework for Multiple uses: Utility of Climate Forecasts towards Short-term Water Management. In B. L.J. (Ed.), Climate change : a challenge or a threat for water management? : selected proceedings of the International Conference "Climate Change: a Challenge or a Threat for Water Management?" held in Amsterdam, the Netherlands, 27-29 September 2004.

Arumugam, S. (2005, June). Improved Water Allocation using Climate Information Based Streamflow Forecasts: An Assessment from System Perspective. Presented at the Tufts University, Medford, MA.

Arumugam, S. (2005, January). Improved Water Allocation using Climate Information Based Streamflow Forecasts: An Assessment from System Perspective. Presented at the North Carolina State University, Raleigh, NC.

Arumugam, S. (2005, October). Improved Water Allocation using Climate Information Based Streamflow Forecasts: Decision Analyses and Possibilities. Presented at the North Carolina Water Resources Research Institute Seminar Series.

Arumugam, S. (2005, August). Improving Angat Reservoir Operation using Climate Forecasts: Decision Analyses and Possibilities. Presented at the International Research Institute for Climate and Society, Columbia University, New York.

Vogel, R. M., & Sankarasubramanian, A. (2005). Monthly Climate Data for Selected USGS HCDN Sites, 1951-1990, R1 [Dataset]. https://doi.org/10.3334/ornldaac/810

Arumugam, S., & Lall, U. (2005, December). Use of Operational Climate Forecasts in Reservoir Management and Operation. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Arumugam, S. (2004, October). Better Management through Better Decisions – Use of Climate Forecasts. Presented at the Lamont-Doherty Earth Observatory Open House, Palisades, NY.

Arumugam, S. (2004, April). Improved Water Allocation using Climate Information Based Streamflow Forecasts: An Assessment from System Perspective. Presented at the University of Arizona, Tucson, AZ.

Arumugam, S. (2004, March). Improved Water Allocation using Climate Information Based Streamflow Forecasts: An Assessment from System Perspective. Presented at the Penn State University, State College, PA.

Arumugam, S., Lall, U., & Robertson, A. W. (2004, May 17). Multimodel Probabilistic Hydroclimatic Ensemble Forecasts. Presented at the American Geophysical Union Spring Meeting, Montreal, Quebec.

Arumugam, S., & Lall, U. (2004, December 12). Operational Streamflow Forecasts Development Using GCM Predicted Precipitation Fields. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Ward, M. N., Sankarasubramanian, A., Hansen, J., Indeje, M., & Mutter, C. (2004). To What Extent can Climate Information Contribute to Solving Problems. Clivar Exchanges, 9(2), 5–8.

Arumugam, S. (2004, March). Utility of Climate Information Based Streamflow Forecasts towards Annual Water Allocation in Jaguaribe-Metropolitan Hydro (JMH) System, Ceara, NE Brazil. Presented at the International Research Institute for Climate and Society, Columbia University, New York.

Matalas, N. C., & Sankarasubramanian, A. (2003). Effect of persistence on trend detection via regression. Water Resources Research, 39(12). https://doi.org/10.1029/2003wr002292

Sankarasubramanian, A., & Lall, U. (2003). Flood Quantiles and Changing Climate: Seasonal Forecasts and Reconstruction of Past Flood Records. World Water & Environmental Resources Congress 2003. Presented at the World Water and Environmental Resources Congress 2003. https://doi.org/10.1061/40685(2003)356

Sankarasubramanian, A., & Lall, U. (2003). Flood quantiles in a changing climate: Seasonal forecasts and causal relations. Water Resources Research, 39(5). https://doi.org/10.1029/2002wr001593

Sankarasubramanian, A., & Vogel, R. M. (2003). Hydroclimatology of the continental United States. Geophysical Research Letters, 30(7). https://doi.org/10.1029/2002gl015937

Arumugam, S. (2003, February). Utility of Climate Forecasts in Improving Reservoir Management. Presented at the University of Tennessee, Knoxville, TN.

Sankarasubramanian, A., Lall, U., Sharma, A., & Lucas, J. (2003, November). Utility of Climate Information Based Reservoir Inflow Forecasts in Annual Water Allocation: Ceara Case Study. Presented at the Workshop on Climate Adaption - Insights and Tools for Adaptation: Learning from Climate Variability, Washington.

Vogel, R. M., & Sankarasubramanian, A. (2003). Validation of a watershed model without calibration. Water Resources Research, 39(10). https://doi.org/10.1029/2002wr001940

Sankarasubramanian, A., Sharma, A., & Lall, U. (2003). Water Allocation for Multiple Uses based on Probabilistic Reservoir Inflow Forecasts. Proceedings of the IAHS-IUGG Meeting. Presented at the IAHS-IUGG Meeting, Sapporo, Japan.

Sankarasubramanian, A., & Vogel, R. M. (2002). Annual hydroclimatology of the United States. Water Resources Research, 38(6). https://doi.org/10.1029/2001wr000619

Sankarasubramanian, A., & Vogel, R. M. (2002). Comment on the paper: “Basin hydrologic response relations to distributed physiographic descriptors and climate” by Karen Plaut Berger, Dara Entekhabi, 2001. Journal of Hydrology 247, 169–182. Journal of Hydrology, 263(1-4), 257–261. https://doi.org/10.1016/s0022-1694(02)00061-6

Lall, U., Sharma, A., Arumugam, S., & Filho, F. S. (2002, December 12). From Interannual Streamflow Forecasts to New Water Management Strategies for Ceara, North East Brazil. Presented at the American Geophysical Union Fall Meeting, San Francisco, CA.

Arumugam, S. (2002, May). Hydroclimatology of the United States. Presented at the International Research Institute for Climate and Society, Columbia University, New York.

Sankarasubramanian, A., Vogel, R. M., & Limbrunner, J. F. (2001). Climate elasticity of streamflow in the United States. Water Resources Research, 37(6), 1771–1781. https://doi.org/10.1029/2000wr900330

Sankarasubramanian, A., & Vogel, R. M. (2000). Annual Hydroclimatology of the United States. Proceedings of the 27th Annual WRPM Conference. Presented at the 27th Annual WRPM Conference, Minneapolis, Minnesota.

Fernandez, W., Vogel, R. M., & Sankarasubramanian, A. (2000). Regional calibration of a watershed model. Hydrological Sciences Journal, 45(5), 689–707. https://doi.org/10.1080/02626660009492371

Arumugam, S. (2000, December). Role of Environmental Assessments and Environmental Management Plans in enhancing the Development Effectiveness – A Review on Water and Agriculture Projects in the South Asia Region. Presented at the Brown Bag Seminar in the South Asia Social and Environmental Section, World Bank, Washington D.C.

Vogel, R. M., & Sankarasubramanian, A. (2000). Spatial scaling properties of annual streamflow in the United States. Hydrological Sciences Journal, 45(3), 465–476. https://doi.org/10.1080/02626660009492342

Vogel, R. M., Sankarasubramanian, A., Limbrunner, J. F., & Wilson, I. (1999). Comparisons of Climate Elasticity of Streamflow in the United States. WRPMD'99. Presented at the 29th Annual Water Resources Planning and Management Conference. https://doi.org/10.1061/40430(1999)251

Sankarasubramanian, A., & Srinivasan, K. (1999). Investigation and comparison of sampling properties of L-moments and conventional moments. Journal of Hydrology, 218(1-2), 13–34. https://doi.org/10.1016/s0022-1694(99)00018-9

Vogel, R. M., & Sankarasubramanian, A. (1999, August). On the Validation of a Watershed Model. Poster presented at the International Union of Geodesy and Geophysics, University of Buckingham, Buckingham, United Kingdom.

Sankarasubramanian, A., & Srinivasan, K. (1996). Evaluation of Sampling Properties of General Extreme Value (GEV) Distribution-L-Moments Vs Conventional Moments. Proceedings of the 24th Annual WRPM conference. Presented at the 24th Annual Water Resource Policy Management (WRPM) Conference, Anaheim, CA.

Srinivasan, K., & Sankarasubramanian, A. (1996). Flood Frequency Models for Indian Catchments– A Relook. Journal of the Institution of Engineers, 77, 41–46.

Arumugam, S., Lall, U., De Souza, A. F., & Brown, C. Climate Forecasts and Reservoir Management – Possibilities and Challenges. Presented at the 21st Conference on Hydrology, 87th American Meteorological Society Annual Meeting, San Antonio, TX.