- Ravindranath, A*., & Devineni, N. (2020). Quantifying streamflow regime behavior and its sensitivity to demand. Journal of Hydrology, 582, 124423. https://doi.org/10.1016/j.jhydrol.2019.124423
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Zhu, W., Jia, S., Devineni, N., Lv, A., & Lall, U. (2019). Evaluating China’s water security for food production: The role of rainfall and irrigation. Geophysical Research Letters, 46 (20), 11155 - 11166. https://doi.org/10.1029/2019GL083226
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Ravindranath, A*., Devineni, N., Lall, U., Cook, E. R., Pederson, G., Martin, J., & Woodhouse, C. (2019). Streamflow reconstruction in the upper Missouri River basin using a novel Bayesian network model. Water Resources Research, 55 (9), 7694 - 7716. https://doi.org/10.1029/2019WR024901
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Najibi, N*., Devineni, N., Lu, M., & Perdigao, R. A. (2019). Coupled flow accumulation and atmo- spheric blocking govern flood duration. Nature partner journal (npj) Climate and Atmosphere, 2, 19. https://doi.org/10.1038/s41612-019-0076-6
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Zhu, X*., Troy, T., & Devineni, N. (2019). Stochastically modeling the projected impacts of climate change on rainfed and irrigated US crop yields. Environmental Research Letters, 14 (7), 074021. https://doi.org/10.1088/1748-9326/ab25a1
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González, J. E., Ortiz, L., Smith, B. K., Devineni, N., Colle, B., Booth, J. F., Ravindranath, A*., Rivera, L*., Horton, R., Towey, K., Kushnir, Y., Manley, D., Bader, D., & Rosenzweig, C. (2019), New York City panel on climate change 2019 report Chapter 2: New methods for assessing extreme temperatures, heavy downpours, and drought. Annals of the New York Academy of Sciences, 1446(1), 172 - 172. https://doi.org/10.1111/nyas.14007
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Najafabadi, S*., Hamidi, A*., Allahviranloo, M., & Devineni, N. (2019). Does demand for subway ridership in Manhattan depend on the rainfall events? Transportation Policy, 74, 201 - 213. https://doi.org/10.1016/j.tranpol.2018.11.019
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Kim, S., Devineni, N., Lall, U., & Kim, H. S. (2018). Sustainable development of water resources: Spatio-temporal analysis of water stress in South Korea. Sustainability, 10, 3795, 1 - 17. https://doi.org/10.3390/su10103795
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Ravindranath, A*., Devineni, N., Lall, U., & Larrauri, P. C. (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. https://doi.org/10.5194/hess-22-5125-2018
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Rao, M. P*., Cook, E. R., Cook, B. I., Palmer, J. G., Uriarte, M., Devineni, N., Lall, U., D’Arrigo, R. D., Woodhouse, C, A., Ahmed, M., Zafar, M. U., Khan, N., Khan, A., & Wahab, M. (2018). Six centuries of Upper Indus Basin streamflow variability and its climatic drivers. Water Resources Research, 54, 5687 - 5701. https://doi.org/10.1029/2018WR023080
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Najibi, N*., & Devineni, N. (2018). Recent trends in the frequency and duration of global floods. Earth System Dynamics, 9, 757 - 783. https://doi.org/10.5194/esd-9-757-2018
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Najafi, E*., Devineni, N., Khanbilvardi, R. M., & Kogan, F. (2018). Understanding the changes in global crop yields through changes in climate and technology. Earth’s Future, 6, 410 - 427. https://doi.org/10.1002/2017EF000690
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Peterson, 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
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Vollmer, D., Shaad, K., Souter, N. J., Farrell, T., Dudgeon, D., Sullivan, C. A., Fauconnier, I., Mac- Donald, G. M., McCartney, M. P., Power, A. G., McNally, A., Andelman, S. J., Capon, T., Devineni, N., Apirumanekul, C., Ng, C. N., Shaw, M. R., Wang, R. Y., Lai, C., Wang, Z., & Regan, H. M. (2018). Integrating the social, hydrological and ecological dimensions of freshwater health: The Freshwater Health Index. Science of The Total Environment, 627, 304 - 313. https://doi.org/10.1016/j.scitotenv.2018.01.040
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Vatta, K., Sidhu, R. S., Lall, U., Birthal, P. S., Taneja, G., Kaur, B., Devineni, N., & MacAlister, C. (2018). Assessing the economic impact of a lowcost water-saving irrigation technology in Indian Punjab: the tensiometer. Water International, 43(2), 305 - 321. https://doi.org/10.1080/02508060.2017.1416443
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Armal, S*., Devineni, N., & Khanbilvardi, R. (2018). Trends in extreme rainfall frequency in the contiguous United States: Attribution to climate change and climate variability modes. Journal of Climate, 31, 369 - 385. https://doi.org/10.1175/JCLI-D-17-0106.1
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Afshari, S*., Fekete, B. M., Dingman, L. S., Devineni, N., Bjerklie, D. M., & Khanbilvardi, R. (2017). Statistical filtering of river survey and streamflow data for improving at-a-station hydraulic geometry relations. Journal of Hydrology, 547, 443 - 454. https://doi.org/10.1016/j.jhydrol.2017.01.038
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Hamidi, A*., Devineni, N., Booth, J., Hosten, A., Ferraro, R., & Khanbilvardi, R. (2017). Classifying urban rainfall extremes using weather radar data: An application to the Greater New York Area. Journal of Hydrometeorology, 18, 611 - 623. https://doi.org/10.1175/JHM-D-16-0193.1
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Ho, M., Lall, U., Allaire, M., Devineni, N., Kwon, H. H., Pal, I., Raff, D., & Wegner, D. (2017). The future role of dams in the United States of America. Water Resources Research, 53, 982 - 998. https://doi.org/10.1002/2016WR019905
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Najibi, N*., Devineni, N., & Lu, M. (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, 153 - 167. https://doi.org/10.1016/j.advwatres.2016.12.004
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Ravindranath, A*., Devineni, N., & Kolesar, P. (2016). An environmental perspective on the water management policies of the Upper Delaware River Basin. Water Policy, 18(6), 1399 - 1419. https://doi.org/10.2166/wp.2016.166
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Lima, C. H. R., Lall, U., Troy, T., & Devineni, N. (2016). A hierarchical Bayesian GEV model for improving local and regional flood quantile estimates. Journal of Hydrology, 541, 816 - 823. https://doi.org/10.1016/j.jhydrol.2016.07.042
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Ho, M., Parthasarathy, V*., Etienne, E*., Russo, T. A., Devineni, N., & Lall, U. (2016). America’s water: Agricultural water demands and the response of groundwater. Geophysical Research Letters, 43(14), 7546 - 7555. https://doi.org/10.1002/2016GL069797
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Etienne, E*., Devineni, N., Khanbilvardi, R., & Lall, U. (2016). Development of a demand sensitive drought index and its application for agriculture over the conterminous United States. Journal of Hydrology, 534, 219 - 229. https://doi.org/10.1016/j.jhydrol.2015.12.060
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Fishman, R., Devineni, N., & Raman, S. (2015). Can improved agricultural water use efficiency save India’s groundwater? Environmental Research Letters, 10(8), 084022. https://doi.org/10.1088/1748-9326/10/8/084022
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Lall, U., Devineni, N., & Kaheil, Y. (2015). An empirical, nonparametric simulator for multivariate random variables with differing marginal densities and nonlinear dependence with hydroclimatic applications. Risk Analysis, 36, 57 - 73. https://doi.org/10.1111/risa.12432
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Devineni, N., Lall, U., Xi, C*., & Ward, P. (2015). Scaling of extreme rainfall areas at a planetary scale. Chaos: An Interdisciplinary Journal of Nonlinear Science, 25(7), 075407. https://doi.org/10.1063/1.4921719
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Devineni, N., Lall, U., Etienne, E*., Shi, D*., & Xi, C*. (2015). America’s water risk: Current demand and climate variability. Geophysical Research Letters, 42, 2285 - 2293. https://doi.org/10.1002/2015GL063487
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Lima, C. H. R., Lall, U., Troy, T. J., & Devineni, N. (2015). A climate informed model for nonstationary flood risk prediction: Application to Negro River at Manaus, Amazonia. Journal of Hydrology, 522, 594 - 602. https://doi.org/10.1016/j.jhydrol.2015.01.009
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Krakauer, N. Y., & Devineni, N. (2015). Up-to-date probabilistic temperature climatologies. Environ- mental Research Letters, 10(2), 024014. https://doi.org/10.1088/1748-9326/10/2/024014
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Chen, X*., Devineni, N., Lall, U., Hao, Z., Dong, L., Ju, Q., Wang, J., Wang, S. (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 - 1662. http://doi.org/10.5194/hess-18-1653-2014
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Chen, X*., Hao, Z., Devineni, N., & Lall, U. (2014). Climate information based streamflow and rainfall forecasts for Huai River basin using hierarchical Bayesian modeling. Hydrology and Earth System Sciences, 18(4), 1539 - 1548. http://doi.org/10.5194/hess-18-1539-2014
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Oludhe, C., Sankarasubramanian, A., Sinha, T., Devineni, N., & Lall, U. (2013). The role of mul- timodel climate forecasts in improving water and energy management over the Tana River Basin, Kenya. Journal of Applied Meteorology and Climatology, 52(11), 2460 - 2475. http://doi.org/10.1175/JAMC-D-12-0300.1
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Devineni, N., Lall, U., Pederson, N., & Cook, E. (2013). A tree-ring-based reconstruction of Delaware River Basin streamflow using hierarchical Bayesian regression. Journal of Climate, 26(12), 4357 - 4374. http://doi.org/10.1175/JCLI-D-11-00675.1
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Devineni, N., Perveen, S., & Lall, U. (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 - 2145. http://doi.org/10.1002/wrcr.20184
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Pederson, N., Bell, A. R., Cook, E. R., Lall, U., Devineni, N., Seager, R., & Vranes, K. P. (2013). Is an epic pluvial masking the water insecurity of the Greater New York City Region? Journal of Climate, 26(4), 1339 - 1354. http://doi.org/10.1175/JCLI-D-11-00723.1
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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, 468-469, 139 - 150. https://doi.org/10.1016/j.jhydrol.2012.08.028
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Devineni, N., & Sankarasubramanian, A. (2010). Improving U.S. winter forecasts using multimodel combinations and ENSO. Nowcast, Bulletin of American Meteorological Society, 91, 1343 - 1356. https://doi.org/10.1175/1520-0477-91.10.1343
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Devineni, N., & Sankarasubramanian, A. (2010). Improved categorical winter precipitation forecasts through multimodel combinations of coupled GCMs. Geophysical Research Letters, 37(24). https://doi.org/10.1029/2010GL044989
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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 multi- model combinations. Monthly Weather Review, 138(6), 2447 - 2468. https://doi.org/10.1175/2009MWR3112.1
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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)
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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 Cli- matology, 48(7), 1464 - 1482. https://doi.org/10.1175/2009JAMC2122.1
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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), W09404. https://doi.org/10.1029/2006WR005855