Basu, B., Bhowmik, R. D., & Sankarasubramanian, A. (2022). Changing Seasonality of Annual Maximum Floods over the Conterminous US: Potential Drivers and Regional Synthesis . Accepted in Journal of Hydrologic Engineering.

Joseph, R., Bhowmik, R. D., & Mujumdar, PP. (2022) Reconstruction of Urban Rainfall Measurements to Estimate the Spatio-Temporal Variability of Extreme Rainfall. Accepted in Water.

Bhowmik, R. D., NG, T. L., & Wang, J. P. (2020). Understanding the impact of observation data uncertainty on probabilistic streamflow forecasts using a dynamic hierarchical model.. Water Resources Research. 56(4), e2019WR025463.

Bhowmik, R. D., & Sankarasubramanian, A. (2020). A Performance-based Multimodel Combination Approach to Reduce Uncertainty in Seasonal Temperature Change Projections. In production. International Journal of Climatology.

Bhowmik, R. D., Seo, S., Das, P., & Sankarasubramanian, A. (2020). Synthesis of irrigation water supply use in the United States: spatiotemporal patterns. Journal of Water Resources Planning and Management. DOI:10.1061/(ASCE)WR.1943-5452.0001249.

Bhowmik, R. D., Suchetana, B., & Li, M. (2019). Shower effect of a rainfall onset on the heat accumulated during a preceding dry spell. Scientific Reports. 9 (7011).

Bhowmik, R. D., & Sankarasubramanian, A. (2019). Limitations of Univariate Statistical Downscaling to Preserve Cross-Correlation between monthly precipitation and temperature. International Journal of Climatology. 1-18.

Seo, S., Bhowmik, R. D., Sankarasubramanian, A., Mahinthakumar, G., & Kumar, M. (2019). The role of cross-correlation between precipitation and temperature on basin-scale simulation of hydrologic variables. Journal of Hydrology. Journal of Hydrology, 570, 304-314.

Bhowmik, R. D., Seo, S., & Sahoo, S. (2018). Streamflow Simulation Using Bayesian Regression with Multivariate Linear Spline to Estimate Future Changes. Water, 10(7), 875.

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.

Sankarasubramanian, A., Sabo, J. L., Larson, K. L., Seo, S. B., Sinha, T., Bhowmik, R D., … & 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.

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.

Sengupta, S., & Bhowmik, R. D. (2022). Understanding the Influence of Snow Cover in Issuing Streamflow Forecasts for High-Mountainous Basins in the Himalayan Region. Proceedings of the 39th IAHR World Congress (Granada). doi:10.3850/IAHR-39WC252171192022930.

Bhowmik, R. D., & Roy, T. (2022). Challenges and Solution Pathways in Water Use Through the Lens of COVID-19. Global Pandemic and Human Security: Technology and Development Perspective, 211.

Bhowmik, R. D., & Sankarasubramanian, A. (2022). Understanding the influence of long-term trends in forecasting seasonal precipitation. Submitted in Water Resources Research.

Rasool T, Bhowmik, R. D., D Nagesh Kumar & Sahoo. S (2022). A novel stochastic rainfall generator to account for unprecedented extreme events. Submitted in Journal of Hydrology.

Gupta, C., & Bhowmik, R. D., (2022). Application of a bivariate bias-correction approach to yield long-term attributes of Indian precipitation and temperature. Submitted in Frontiers in Climate.

Hussain, Md. A., & Bhowmik, R. D. (2022). Application of Machine Learning postprocessing in improving crowd-sourced rainfall estimates.