Publications

Refereed Publications

2023-2025

  1. Haas, H., Kalin, L., Sun, G., & Kumar, S. (2024). Understanding the effects of afforestation on water quantity and quality at watershed scale by considering the influences of tree species and local moisture recycling. Journal of Hydrology, 640, 131739.
  2. Singh, A., Kumar, S., Chen, L., Maruf, M., Lawrence, P., & Lo, M. H. (2024). Land Use Feedback under Global Warming–A Transition from Radiative to Hydrological Feedback Regime. Journal of Climate. 37 (14), 3847-3866. https://doi.org/10.1175/JCLI-D-23-0426.1
  3. Duan, Y., & Kumar, S. (2024). A revised interpretation of signal-to-noise ratio paradox and its application to constrain regional climate projections. Environmental Research: Climate. DOI 10.1088/2752-5295/ad3a0c
  4. Richter, Jadwiga H., Anne A. Glanville, Teagan King, Sanjiv Kumar, Stephen G. Yeager, Nicholas A. Davis, Yanan Duan et al. “Quantifying sources of subseasonal prediction skill in CESM2.” npj Climate and Atmospheric Science 7, no. 1 (2024): 59.
  5. G. S. M, W. Lee, S. Kumar, Y. Duan and I. Rangwala, “A Framework for Developing the Next Generation Interactive Soil Moisture Forecasting System Using the Long-Short Term Memory Model,” 2023 International Conference on Machine Learning and Applications (ICMLA), Jacksonville, FL, USA, 2023, pp. 1986-1993, doi: 10.1109/ICMLA58977.2023.00300.
  6. Lombardozzi, D. L., Wieder, W. R., Sobhani, N., Bonan, G. B., Durden, D., Lenz, D., SanClements, M., Weintraub-Leff, S., Ayres, E., Florian, C. R., Dahlin, K., Kumar, S., Swann, A. L. S., Zarakas, C., Vardeman, C., and Pascucci, V.: Overcoming barriers to enable convergence research by integrating ecological and climate sciences: the NCAR–NEON system Version 1. Geoscientific Model Development, 16(20), 5979-6000.
  7. Lee R, Boll J and Kumar S. (2023) Editorial: Limits and permanence of modern interventions in the water cycle. Front. Water 5:1179819. doi: 10.3389/frwa.2023.1179819
  8. Kumar, S., Dewes, C. F., Newman, M., & Duan, Y.. (2023). Robust changes in North America’s hydroclimate variability and predictability. Earth’s Future, 11(4), e2022EF003239.
  9. Duan, Y., Akula, S., Kumar, S., S., Lee, W., & Khajehei, S. (2023). A Hybrid Physics–AI Model to Improve Hydrological Forecasts. Artificial Intelligence for the Earth Systems, 2(1), e220023.

2020-2022

  1. Pan, Z., Kumar, S., Zhang, Y., & Shi, C. Central continental boreal summer “warming holes” modulated by Atlantic Multidecadal Oscillation via low‐level jets. Journal of Geophysical Research: Atmospheres, e2021JD035217.
  2. Duan, Y., Kumar, S., & Kinter, J. L. (2021). Evaluation of long-term temperature trend and variability in CMIP6 multimodel ensemble. Geophysical Research Letters, 48, e2021GL093227. https://doi.org/10.1029/2021GL093227
  3. Sutton, C., Kumar, S., Lee, M.-K., Davis, E. (2021). Human imprint of water withdrawals in the wet environment: a case study of declining groundwater in Georgia, USA. Journal of Hydrology: Regional Studies 35 (2021): 100813.
  4. Esit, M., Kumar, S., Pandey, A., Lawrence, D. M., Rangwala, I., and Yeager S.  Seasonal to multi-year soil moisture drought forecasting. npj Clim Atmos Sci 4, 16 (2021). https://doi.org/10.1038/s41612-021-00172-z
  5. Singh, A., Kumar, S., Akula, S., Lawrence, D. M., & Lombardozzi, D. L. (2020). Plant Growth Nullifies the Effect of Increased Water Use Efficiency on Streamflow Under Elevated CO2 in the Southeastern United States. Geophysical Research Letters, e2019GL086940.
  6. Duan, Y., & Kumar, S. (2020). Predictability of Seasonal Streamflow and Soil Moisture in National Water Model and a Humid Alabama–Coosa–Tallapoosa River Basin. Journal of Hydrometeorology, 21(7), 1447-1467.
  7. Kumar, S., Newman, M., Lawrence, D. M., Lo, M. H., Akula, S., Lan, C. W., … & Lombardozzi, D. (2020). The GLACE-Hydrology Experiment: Effects of Land–Atmosphere Coupling on Soil Moisture Variability and Predictability. Journal of Climate, 33(15), 6511-6529. 
  8. Bhandari, R., Kalra, A., & Kumar, S. (2020). Analyzing the effect of CMIP5 climate projections on streamflow within the Pajaro River Basin. Open Water Journal, 6(1), 5.

2017-2019

  1. Lawrence, D. M. and 52 co-authors including Pandey, and S. Kumar (2019). The Community Land Model version 5: Description of new features, benchmarking, and impact of forcing uncertainty. Journal of Advances in Modeling Earth Systems, 11. https://doi. org/10.1029/2018MS001583
  2. Tamaddun, K., A., Kalra, A., Kumar, S., & Ahmad, S. (2019). CMIP5 Models’ Ability to Capture Observed Trends under the Influence of Shifts and Persistence: An In-depth Study on the Colorado River Basin. Journal of Applied Meteorology and Climatology, https://doi.org/10.1175/JAMC-D-18-0251.1
  3. Kumar, S., M. Newman, Y. Wang, and B. Livneh, 2019: Potential reemergence of seasonal soil moisture anomalies in North America. J. Climate. doi:10.1175/JCLID-18-0540.1.
  4. Hsu, H., M.-H. Lo, B. P. Guillod, D. G. Miralles, and Kumar (2017). Relation between precipitation location and antecedent/subsequent soil moisture spatial patterns, J. Geophys. Res. Atmos., https://doi.org/10.1002/2016JD026042.
  5. Dewes CF, Rangwala I, Barsugli JJ, Hobbins MT, Kumar S (2017) Drought risk assessment under climate change is sensitive to methodological choices for the estimation of evaporative demand. PLoS ONE 12(3): e0174045. doi:10.1371/journal.pone.0174045
  6. Pan, Z., C. Shi, S. Kumar, and S. Gao (2017). North Pacific SST forcing on the central US “warming hole” as simulated in CMIP5 coupled historical and uncoupled AMIP experiments, Atmosphere-Ocean, 55-77, 55 (1). http://dx.doi.org/10.1080/07055900.2016.1261690.

2014-2016

  1. Lan, -W., M.-H. Lo, C. Chou, and S. Kumar (2016), Terrestrial water flux responses to global warming in tropical rainforest areas, Earth’s Future, 4, 210–224, doi:10.1002/2015EF000350.
  2. Kumar, , J. L. Kinter III, Z. Pan, and J. Sheffield (2016), Twentieth century temperature trends in CMIP3, CMIP5, and CESM-LE climate simulations:  Spatial-temporal uncertainties, differences, and their potential sources, J. Geophys. Res. Atmos., 121, doi:10.1002/2015JD024382.
  3. Lee , and S. Kumar (2016), Software-Defined Storage Based Data Infrastructure Supportive of Hydroclimatology Simulation Containers: A Survey, Data Science and Engineering, 1(2): 65- 72, DOI 10.1007/s41019-016-0008-y
  4. Kumar, , F. Zwiers, P. A. Dirmeyer, D. M. Lawrence, R. Shrestha, and A. T. Werner (2016), Terrestrial contribution to the heterogeneity in hydrological changes under global warming, Water Resour. Res., 52, 3127–3142, doi:10.1002/2016WR018607.
  5. Kumar, , R. P. Allan, F. Zwiers, D. M. Lawrence, and P. A. Dirmeyer (2015), Revisiting trends in wetness and dryness in the presence of internal climate variability and water limitations over land, Geophys. Res. Lett., 42, doi:10.1002/2015GL066858.
  6. Kumar, , P. Dirmeyer, D. Lawrence, T. DelSole, E. L. Altshuler, B. A. Cash, M. J. Fennessy, Z. Guo, J. L. Kinter III, and D. M. Strauts (2014). Effects of Realistic Land Surface Initializations on Sub-seasonal to Seasonal Soil Moisture and Temperature predictability in North America and in Changing Climate simulated by CCSM4. Journal of Geophysical Research (Atmospheres), 119m 13, 250-12, 270 doi:10.1002/2014JD022110.
  7. Kumar, S., Dirmeyer, and J. Kinter III (2014). Usefulness of Ensemble Forecasts from NCEPClimate Forecast System in Sub-seasonal to Intra-annual Forecasting. Geophysical Research Letters, 41, 10, 3586-3593.
  8. Kumar, , D. Lawrence, P. Dirmeyer, and J. Sheffield (2014). Less Reliable Water Availability in the 21st Century Climate Projections. Earth’s Future, 2, 3, 152-160.
  9. Maloney, E. D., S. J. Camargo, E. Chang, B. Colle, R. Fu, K. L. Geil, Q. Hu, X. Jiang, N. Johnson, K. B. Karnauskas, J. Kinter, B. Kirtman, S. Kumar, B. Langenbrunner, K. Lombardo, L. N. Long, A. Mariotti, J. E. Meyerson, K. C. Mo, J. D. Neelin, Z. Pan, R. Seager, Y. Serra, A. Seth, J. Sheffield, J. Stroeve, J. Thibeault, S.-P. Xie, C. Wang, B. Wyman, and M. Zhao (2014): North American climate in CMIP5 experiments: Part III: Assessment of 21st Century projections. J. Climate, 27, 2230-2270.

2011-2013

  1. Kumar, , J. Kinter, P. A. Dirmeyer, Z. Pan, J. Adams (2013). Multidecadal Climate Variability and the “Warming Hole” in North America: Results from CMIP5 Twentieth- and Twenty-First- Century Climate Simulations. Journal of Climate, Vol. 26, Issue 11, 3511–3527.
  2. Kumar , V. Merwade, J. Kinter III, D. Niyogi (2013). Evaluation of Temperature and Precipitation Trends and Long-term Persistence in CMIP5 20th Century Climate Simulations. Journal of Climate, Vol. 26, Issue 12, 4168-4185.
  3. Kumar, , P. A. Dirmeyer, V. Merwade, T. DelSole, J. M. Adams, and D. Niyogi (2013). Land use/cover change impacts in CMIP5 climate simulations: A new methodology and 21st century challenges, J. Geophys. Res. Atmos., 118, 6337–6353, doi:10.1002/jgrd.50463.
  4. Kumar , V. Merwade, S. Rao, and B. C. Pijanowski (2013). Characterizing Long-Term Land Use/Cover Change in the United States from 1850 to 2000 Using a Nonlinear Bi-analytical Model. AMBIO – A journal of the Human Environment, 42 (3), 285-297.
  5. Dirmeyer, , S. Kumar, M. Fennessy, E. Altshuler, T. DelSole, Z. Guo, B. Cash, and D. Straus, 2013: Model Estimates of Land-Driven Predictability in a Changing Climate from CCSM4. J. Climate, Vol. 26, Issue 21, 8495–8512.
  6. Pan, , X. Liu, S. Kumar, Z. Gao, and J. Kinter, 2013: Inter-model variability and mechanism attribution of central and southeastern U.S. anomalous cooling in the 20th century as simulated by CMIP5 models. J. Climate, Vol. 26, Issue 17, 6215–6237.
  7. Sheffield, , A. Barrett, B. Colle, D. Fernando, R. Fu, K. Geil, Q. Hu, J. Kinter, S. Kumar, B. Langenbrunner, K. Lombardo, L. Long, E. Maloney, A. Mariotti, J. Meyerson, K. Mo, D. Neelin, S. Nigam, Z. Pan, T. Ren, A. Ruiz-Barradas, Y. Serra, A. Seth, J. Thibeault, J. Stroeve, Z. Yang, and L. Yin, 2013: North American Climate in CMIP5 Experiments. Part I: Evaluation of Historical Simulations of Continental and Regional Climatology. J. Climate, Vol. 26, Issue 23, 9209-9245.
  8. Sheffield, , S. Camargo, R. Fu, Q. Hu, X. Jiang, N. Johnson, K. Karnauskas, S. Kim, J. Kinter, S. Kumar, B. Langenbrunner, E. Maloney, A. Mariotti, J. Meyerson, D. Neelin, S. Nigam, Z. Pan, Ruiz-Barradas, R. Seager, Y. Serra, D. Sun, C. Wang, S. Xie, J. Yu, T. Zhang, and M. Zhao, 2013: North American Climate in CMIP5 Experiments. Part II: Evaluation of Historical Simulations of Intra- Seasonal to Decadal Variability. J. Climate, Vol. 26, Issue 23, 9247-9290.
  9. Kumar, S., and V. Merwade (2011), Evaluation of NARR and CLM3.5 outputs for surface water and energy budgets in  the  Mississippi  River    Journal of Geophysical Research (Atmosphere), 116, D08115, doi:10.1029/2010JD014909.

2008-2010

  1. Kumar, , V. Merwade, W. Lee, L. Zhao, and C. Song (2010), Hydroclimatological impact of century-long drainage in midwestern United States: CCSM sensitivity experiments, Journal of Geophysical Research (Atmosphere). 115, D14105, doi:10.1029/2009JD013228
  2. Pastore, L., M. B. Green, D. J. Bain, A. Munoz-Hernandez, C. J. Vorosmarty, J. Arrigo, S. Brandt, J. Duncan, F. Greco, H. Kim, S. Kumar, M. Lallay, A. Parolari, B. Pellerin, N. Salant, A. Schlosser, K. Zalzal (2010), Tapping environmental history  to recreate America colonial hydrology, Environmental Science & Technology, 44, 23, 8798-8803
  3. Kumar, , and V. Merwade (2009), Impact of watershed subdivision and soil data resolution on SWAT model calibration and parameter uncertainty. Journal of American Water Resources Association, 45(5):1179-1196.
  4. Kumar, , V. Merwade, J. Kam and K. Thurner (2009), Streamflow trends in Indiana: effects of long term persistence, precipitation and subsurface drains. Journal of Hydrology, Vol. 374 (1-2), pp. 171–183.
  5. Basu, B., P.S.C. Rao, E. H. Winzeler, S. Kumar, P. Owens, and V. Merwade (2010), Parsimonious modeling of hydrologic responses in engineered watersheds: structural heterogeneity vs. functional homogeneity. Water Resources Research, 46, W04501, doi:10.1029/2009WR007803
  6. Govindaraju, R.S., B. Engel, D. Ebert, B. Fossum, M. Huber, C. Jafvert, S. Kumar, V. Merwade, D. Niyogi,, L. Oliver, S. Prabhakar, G. Rochon, C. Song, L. Zhao (2009). A vision of cyberinfrastructure for end-to-end environmental explorations (C4E4). Journal of Hydrologic Engineering, Vol.14(1), pp. 53-64.

Technical Reports

  1. Sheffiled, J., A. Barrett, D. Barrie, S. J. Camargo, B. Colle, D. N. Fernando, R. Fu, K. L. Geil, Q.Hu, X. Jiang, N. Johnson, K. B. Karnauskas, S. T. Kim, J. Kinter, S. Kumar, B. Langenbrunner, K. Lombardo, L. N. Long, E. Maloney, A. Mariotti, J. E. Meyerson, K. C. Mo, J. D. Neelin, S. Nigam, Z. Pan, T. Ren, A. R.-Barradas, R. Seager, Y. L. Serra, A. Seth, D.-Z. Sun, J. M. Thibeault, J. C. Stroeve, C.Wang, S.-P. Xie, Z. Yang, L. Yin, J.-Y. Yu, T. Zhang, M. Zhao, Regional Climate Processes and Projections in CMIP3 and CMIP5 for N. America: Differences, Attribution and Outstanding Issues, NOAA Technical Report, OAR CPO-2, 47pp.
  2. Strauts, D. M., M. J. Fennessy, E. L. Altshuler, Z. Guo, T. DelSole, P. A. Dirmeyer, S. Kumar, B. A. Cash, and J. L. Kinter, The COLA Intraseasonal-to-Interannual Predictability Project Scientific Motivation and Technical Approach. 31pp. July 2013.
  3. Merwade, V., and S. Kumar, Analysis of INDOT Current Hydraulic Policies. Publication FHWA/IN/JTRP-2011/14. Joint Transportation Research Program, Indiana Department of Transportation and Purdue University, West Lafayette, Indiana, 2011. doi: 10.5703/1288284314628

Presentation (invited only)

  1. Kumar, S., (2020), Role of Land in Seasonal to Decadal Hydroclimate Predictability. Presented to US CLIVAR PPAI Science Panel in March 2020. youtu.be/MCYGbv-Epys via@YouTube