Contact Me if you want a copy of any of these articles.

Citations are provided for the articles in Chicago Style.

* Publications where my engagement was passive. 


46. Season-ahead forecasting of water storage and irrigation requirements – an application to the southwest monsoon in IndiaCitation: Ravindranath, Arun, Naresh Devineni, Upmanu Lall, and Paulina Concha Larrauri. 2018. “Season-Ahead Forecasting of Water Storage and Irrigation Requirements – an Application to the Southwest Monsoon in India,” Hydrology and Earth System Sciences, 22, 5125-5141, doi:10.5194/hess-22-5125-2018, 2018.

45. Six centuries of Upper Indus Basin streamflow variability and its climatic drivers* Citation: Rao, Mukund Palat, Edward R. Cook, Benjamin I. Cook, Jonathan G. Palmer, Maria Uriarte, Naresh Devineni, Upmanu Lall, et al. 2018. “Six Centuries of Upper Indus Basin Streamflow Variability and Its Climatic Drivers.” Water Resources Research, 1–15. doi:10.1029/2018WR023080.

44. Recent trends in the frequency and duration of global floods

Citation: Najibi, Nasser, and Naresh Devineni. 2018. “Recent Trends in the Frequency and Duration of Global Floods.” Earth System Dynamics 9 (2): 757–83. doi:10.5194/esd-9-757-2018.

43. Understanding the changes in global crop yields through changes in climate and technologyCitation: Najafi, Ehsan, Naresh Devineni, and Reza M Khanbilvardi. 2018. “Understanding the Changes in Global Crop Yields through Changes in Climate and Technology.” doi:10.1002/eft2.301.

42. Monthly hydroclimatology of the continental United StatesCitation: Petersen, Thomas, Naresh Devineni, and A. Sankarasubramanian. 2018. “Monthly Hydroclimatology of the Continental United States.” Advances in Water Resources 114. Elsevier Ltd: 180–95. doi:10.1016/j.advwatres.2018.02.010.

41. Integrating the social, hydrological and ecological dimensions of freshwater health: The Freshwater Health Index*Citation: Vollmer, Derek, Kashif Shaad, Nicholas J. Souter, Tracy Farrell, David Dudgeon, Caroline A. Sullivan, Isabelle Fauconnier, et al. 2018. “Integrating the Social, Hydrological and Ecological Dimensions of Freshwater Health: The Freshwater Health Index.” Science of the Total Environment 627. The Authors: 304–13. doi:10.1016/j.scitotenv.2018.01.040.

40. Assessing the economic impact of a low-cost water-saving irrigation technology in Indian Punjab: the tensiometer*Citation: Vatta, Kamal, R. S. Sidhu, Upmanu Lall, P. S. Birthal, Garima Taneja, Baljinder Kaur, Naresh Devineni, and Charlotte MacAlister. 2018. “Assessing the Economic Impact of a Low-Cost Water-Saving Irrigation Technology in Indian Punjab: The Tensiometer.” Water International 43 (2). Routledge: 305–21. doi:10.1080/02508060.2017.1416443.

39. Trends in extreme rainfall frequency in the contiguous United States: Attribution to climate change and climate variability modes

Citation: Armal, Saman, Naresh Devineni, and Reza Khanbilvardi. 2018. “Trends in Extreme Rainfall Frequency in the Contiguous United States: Attribution to Climate Change and Climate Variability Modes.” Journal of Climate 31 (1): 369–85. doi:10.1175/JCLI-D-17-0106.1.


38. Nary a drop to drink?

Citation: Wesson, Rosemarie, Devineni, Naresh. 2017. “NARY A DROP TO DRINK ?” Prism Magazine: American Society for Engineering Education.

37. Statistical filtering of river survey and streamflow data for improving At-A-Station hydraulic geometry relations*Citation: Afshari, Shahab, Balazs M. Fekete, S. Lawrence Dingman, Naresh Devineni, David M. Bjerklie, and Reza M. Khanbilvardi. 2017. “Statistical Filtering of River Survey and Streamflow Data for Improving At-A-Station Hydraulic Geometry Relations.” Journal of Hydrology 547. Elsevier B.V.: 443–54. doi:10.1016/j.jhydrol.2017.01.038.

36. Classifying urban rainfall extremes using weather radar data: An application to the Greater New York AreaCitation: Hamidi, Ali, Naresh Devineni, James F. Booth, Amana Hosten, Ralph R. Ferraro, and Reza Khanbilvardi. 2017. “Classifying Urban Rainfall Extremes Using Weather Radar Data: An Application to the Greater New York Area.” Journal of Hydrometeorology 18 (3): 611–23. doi:10.1175/JHM-D-16-0193.1.

35. The future role of dams in the United States of America*

Citation: Ho, Michelle, Upmanu Lall, Maura Allaire, Indrani Pal, David Raff, David Wegner, Naresh Devineni, and Hyun Han Kwon. 2017. “The Future Role of Dams in the United States of America.” Water Resources Research, 982–98. doi:10.1002/2016WR019905.

34. Hydroclimate drivers and atmospheric teleconnections of long duration floods: An application to large reservoirs in the Missouri River BasinCitation: Najibi, Nasser, Naresh Devineni, and Mengqian Lu. 2017. “Hydroclimate Drivers and Atmospheric Teleconnections of Long Duration Floods: An Application to Large Reservoirs in the Missouri River Basin.” Advances in Water Resources 100. Elsevier Ltd: 153–67. doi:10.1016/j.advwatres.2016.12.004.


33. An environmental perspective on the water management policies of the Upper Delaware River BasinCitation: Ravindranath, Arun, Naresh Devineni, and Peter Kolesar. 2016. “An Environmental Perspective on the Water Management Policies of the Upper Delaware River Basin.” Water Policy 18 (6): 1399–1419. doi:10.2166/wp.2016.166.

32. A hierarchical Bayesian GEV model for improving local and regional flood quantile estimates*

Citation: Lima, Carlos H.R., Upmanu Lall, Tara Troy, and Naresh Devineni. 2016. “A Hierarchical Bayesian GEV Model for Improving Local and Regional Flood Quantile Estimates.” Journal of Hydrology 541. Elsevier B.V.: 816–23. doi:10.1016/j.jhydrol.2016.07.042.

31. America’s water: Agricultural water demands and the response of groundwater*

Citation: Ho, M., V. Parthasarathy, E. Etienne, T. A. Russo, N. Devineni, and U. Lall. 2016. “America’s Water: Agricultural Water Demands and the Response of Groundwater.” Geophysical Research Letters 43 (14): 7546–55. doi:10.1002/2016GL069797.

30. Ensuring water and environmental sustainability through modelling

Citation: Devineni, Naresh. 2016. “Ensuring Water and Environmental Sustainability through Modelling.” International Innovation.

29. Development of a Demand Sensitive Drought Index and its application for agriculture over the conterminous United StatesCitation: Etienne, Elius, Naresh Devineni, Reza Khanbilvardi, and Upmanu Lall. 2016. “Development of a Demand Sensitive Drought Index and Its Application for Agriculture over the Conterminous United States.” Journal of Hydrology 534. Elsevier B.V.: 219–29. doi:10.1016/j.jhydrol.2015.12.060.


28. Assessment of agricultural water management in Punjab, India using Bayesian methods

Citation: Russo, Tess, Naresh Devineni, and Upmanu lall. 2015. “Assessment of Agricultural Water Management in Punjab, India, Using Bayesian Methods.” In: Setegn S., Donoso M. (eds) Sustainability of Integrated Water Resources Management, Springer, 1–606. doi:10.1007/978-3-319-12194-9.

27. An empirical, nonparametric simulator for multivariate random variables with differing marginal densities and nonlinear dependence with hydroclimatic applicationsCitation: Lall, Upmanu, Naresh Devineni, and Yasir Kaheil. 2016. “An Empirical, Nonparametric Simulator for Multivariate Random Variables with Differing Marginal Densities and Nonlinear Dependence with Hydroclimatic Applications.” Risk Analysis 36 (1): 57–73. doi:10.1111/risa.12432.

26. Can improved agricultural water use efficiency save India’s groundwater?Citation: Fishman, Ram, Naresh Devineni, and Swaminathan Raman. 2015. “Can Improved Agricultural Water Use Efficiency Save India’s Groundwater?” Environmental Research Letters 10 (8). IOP Publishing: 84022. doi:10.1088/1748-9326/10/8/084022.

25. Scaling of extreme rainfall areas at a planetary scale

Citation: Devineni, Naresh, Upmanu Lall, Chen Xi, and Philip Ward. 2015. “Scaling of Extreme Rainfall Areas at a Planetary Scale.” Chaos 25 (7). doi:10.1063/1.4921719.

24. America’s water risk: Current demand and climate variability

Citation: Devineni, Naresh, Upmanu Lall, Elius Etienne, Daniel Shi, and Chen Xi. 2015. “America’s Water Risk: Current Demand and Climate Variability.” Geophysical Research Letters 42 (7): 2285–93. doi:10.1002/2015GL063487.

23. A climate informed model for nonstationary flood risk prediction: Application to Negro River at Manaus, Amazonia*Citation: Lima, Carlos H.R., Upmanu Lall, Tara J. Troy, and Naresh Devineni. 2015. “A Climate Informed Model for Nonstationary Flood Risk Prediction: Application to Negro River at Manaus, Amazonia.” Journal of Hydrology 522. Elsevier B.V.: 594–602. doi:10.1016/j.jhydrol.2015.01.009.

22. Up-to-date probabilistic temperature climatologies*

Citation: Krakauer, Nir Y., and Naresh Devineni. 2015. “Up-to-Date Probabilistic Temperature Climatologies.” Environmental Research Letters 10 (2). IOP Publishing: 24014. doi:10.1088/1748-9326/10/2/024014.


21. China’s water sustainability in the 21st century: A climate-informed water risk assessment covering multi-sector water demands

Citation: Chen, X., D. Naresh, L. Upmanu, Z. Hao, L. Dong, Q. Ju, J. Wang, and S. Wang. 2014. “China’s Water Sustainability in the 21st Century: A Climate-Informed Water Risk Assessment Covering Multi-Sector Water Demands.” Hydrology and Earth System Sciences 18 (5): 1653–62. doi:10.5194/hess-18-1653-2014.

20. Climate information based streamflow and rainfall forecasts for Huai River basin using hierarchical Bayesian modeling

Citation: Chen, X., Z. Hao, N. Devineni, and U. Lall. 2014. “Climate Information Based Streamflow and Rainfall Forecasts for Huai River Basin Using Hierarchical Bayesian Modeling.” Hydrology and Earth System Sciences 18 (4): 1539–48. doi:10.5194/hess-18-1539-2014.

19. India’s water: A reflection of a nation’s soul?

Citation: Lall, Upmanu ; Devineni, Naresh. 2014. “India’s Water: A Reflection of a Nation’s Soul?” CIPT Sandesh.


18. The role of multimodel climate forecasts in improving water and energy management over the Tana river basin, Kenya

Citation: Oludhe, C., A. Sankarasubramanian, Tushar Sinha, Naresh Devineni, and Upmanu Lall. 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): 2460–75. doi:10.1175/JAMC-D-12-0300.1.

17. Is an epic pluvial masking the water insecurity of the greater New York city region*

Citation: Pederson, Neil, Andrew R. Bell, Edward R. Cook, Upmanu Lall, Naresh Devineni, Richard Seager, Keith Eggleston, and Kevin P. Vranes. 2013. “Is an Epic Pluvial Masking the Water Insecurity of the Greater New York City Region.” Journal of Climate 26 (4): 1339–54. doi:10.1175/JCLI-D-11-00723.1.

16. A tree-ring-based reconstruction of Delaware River Basin streamflow using hierarchical Bayesian regression

Citation: Devineni, Naresh, Upmanu Lall, Neil Pederson, and Edward Cook. 2013. “A Tree-Ring-Based Reconstruction of Delaware River Basin Streamflow Using Hierarchical Bayesian Regression.” Journal of Climate 26 (12): 4357–74. doi:10.1175/JCLI-D-11-00675.1.

15. Assessing chronic and climate-induced water risk through spatially distributed cumulative deficit measures: A new picture of water sustainability in India

Citation: Devineni, Naresh, Shama Perveen, and Upmanu Lall. 2013. “Assessing Chronic and Climate-Induced Water Risk through Spatially Distributed Cumulative Deficit Measures: A New Picture of Water Sustainability in India.” Water Resources Research 49 (4): 2135–45. doi:10.1002/wrcr.20184.

14. Toward hedging climate risk in corporate value chainsCitation: Devineni, Naresh; Perveen, Shama; Lall, Upmanu. 2013. “Toward Hedging Climate Risk in Corporate Value Chains.” Columbia Water Center White Paper, April.

13. America’s water risk: Water stress and climate variabilityCitation: Shi, Daniel; Devineni, Naresh; Lall, Upmanu; Pinero Edwin. 2013. “America’s Water Risk: Water Stress and Climate Variability.” Columbia Water Center White Paper, February.


12. Seasonality of monthly runoff over the continental United States: Causality and relations to mean annual and mean monthly distributions of moisture and energy

Citation: Petersen, Thomas, Naresh Devineni, and A. Sankarasubramanian. 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 468–469. Elsevier B.V.: 139–50. doi:10.1016/j.jhydrol.2012.08.028.

11. Securing the future of India’s Water, energy and food

Citation: Devineni, Naresh, and Shama Perveen. 2012. “Securing the Future of India’s Water, Energy and Food .” Global Water Forum, 1240, Discussion Series.


10. Climate variability and water stress in India: How much storage is needed and where?

Citation: Devineni, Naresh, Shama Perveen, and Upmanu Lall. 2011. “Climate Variability and Water Stress in India: How Much Storage Is Need and Where?,” December.

9. Shifting crops, saving water

Citation: Devineni, Naresh; Perveen, Shama; Lall, Upmanu. 2011. “Shifting Crops, Saving Water.” Columbia Water Center White Paper, December.


8. Improving U.S winter forecasts using multimodel combinations and ENSO

Citation: Devineni, Naresh, and Sankarasubramanian, Arumugam. 2010. “Improving U.S. winter forecasts using multimodel combinations and ENSO.” Bulletin of American Meteorological Society, Nowcast, Papers of Note, October 2010.

7. Improved categorical winter precipitation forecasts through multimodel combinations of coupled GCMs

Citation: Devineni, Naresh, and A. Sankarasubramanian. 2010. “Improved Categorical Winter Precipitation Forecasts through Multimodel Combinations of Coupled GCMs.” Geophysical Research Letters 37 (24): 1–5. doi:10.1029/2010GL044989.

6. Improving the prediction of winter precipitation and temperature over the continental United States: Role of the ENSO state in developing multimodel combinations

Citation: Devineni, Naresh, and a. Sankarasubramanian. 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): 2447–68. doi:10.1175/2009MWR3112a.1.

5. Seasonal hydroclimatology of the continental United States: Forecasting and its relevance to water management

Citation: Devineni, Naresh. 2010. “Seasonal Hydroclimatology of the Continental United States: Forecasting and Its Relevance to Water Management.” NCSU Libraries.


4. Improved drought management of Falls Lake Reservoir: Role of multimodel streamflow forecasts in setting up restrictions

Citation: Golembesky, Kurt, A. Sankarasubramanian, and Naresh Devineni. 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): 188–97. doi:10.1061/(ASCE)0733-9496(2009)135:3(188).

3. The role of monthly updated climate forecasts in improving intraseasonal water allocation

Citation: Sankarasubramanian, A., Upmanu Lall, Naresh Devineni, and Susan Espinueva. 2009. “The Role of Monthly Updated Climate Forecasts in Improving Intraseasonal Water Allocation.” Journal of Applied Meteorology and Climatology 48 (7): 1464–82. doi:10.1175/2009JAMC2122.1.


2. Multimodel ensembles of streamflow forecasts: Role of predictor state in developing optimal combinations

Citation: Devineni, Naresh, A. Sankarasubramanian, and Sujit Ghosh. 2008. “Multimodel Ensembles of Streamflow Forecasts: Role of Predictor State in Developing Optimal Combinations.” Water Resources Research 44 (9): 1–22. doi:10.1029/2006WR005855.


1. Multimodel ensembles of streamflow forecasts: Role of predictor state in developing optimal combinationCitation: Devineni, Naresh. 2007. “ Multimodel ensembles of streamflow forecasts: Role of predictor state in developing optimal combination” NCSU Libraries.