Dr. SURAJIT DEB BARMA

Deb Barma, S., Mahesha, A. (2023). Discussion of “Innovative approaches to the trend assessment of streamflows in the Eastern Black Sea basin,Turkey”*. Hydrological Sciences Journal. 68, 731–732 (Taylor and Francis). (SCOPUS/SCIE indexed, Q1) https://doi.org/10.1080/02626667.2023.2185524

Van Thieu, N., Deb Barma, S., Van Lam, T., Kisi, O., Mahesha, A. (2023). Groundwater level modeling using Augmented Artificial Ecosystem Optimization. Journal of Hydrology. 617, 129034 (Elsevier). (SCOPUS/SCI indexed, Q1) https://doi.org/10.1016/j.jhydrol.2022.129034

Chowdari, K., Deb Barma, S., Bhat, N., Girisha, R., Gouda, K.C., Mahesha, A.(2023). Trends of seasonal and annual rainfall of semi-arid districts of Karnataka, India: application of innovative trend analysis approach. Theoretical and Applied Climatology. 152, 241– 264 (Springer). (SCOPUS/SCIE indexed, Q2) https://doi.org/10.1007/s00704-023- 04400-9

Kikon, A., Dodamani, B.M., Deb Barma, S., Naganna, S.R. (2023). ANFIS-based soft computing models for forecasting effective drought index over an arid region of India. AQUA — Water Infrastructure, Ecosystems and Society. 72 (6): 930–946 (IWA). (SCOPUS/SCIE indexed, Q2) https://doi.org/10.2166/aqua.2023.204

Deb Barma et al. (2022). Evaluation of ERA5 and IMERG Precipitation Data for Risk Assessment of Water Cycle Variables of a Large River Basin in South Asia using Satellite data and Archimedean Copulas. Water Conservation and Management. 6, 61-69. (SCOPUS indexed, Q2) http://doi.org/10.26480/wcm.01.2022.61.69

Sajeev, A., Deb Barma, S., Mahesha, A., Shiau, J.-T. (2021). Bivariate Drought Characterization of Two Contrasting Climatic Regions in India Using Copula. Journal of Irrigation and Drainage Engineering. 147, 05020005 (ASCE).(SCOPUS/SCIE  indexed,Q2) https://doi.org/10.1061/(ASCE)IR.1943-4774.0001536

Uttarwar, S.B., Deb Barma, S., Mahesha, A. (2020). Bivariate Modeling of Hydroclimatic Variables in Humid Tropical Coastal Region Using Archimedean Copulas. Journal of Hydrologic Engineering. 25, 05020026 (ASCE). (SCOPUS/SCIE indexed, Q2) https://doi.org/10.1061/(ASCE)HE.1943-5584.0001981

Sharannya, T. M., Al-Ansari, N., Deb Barma, S., & Mahesha, A. (2020). Evaluation of Satellite Precipitation Products in Simulating Streamflow in a Humid Tropical Catchment of India Using a Semi-Distributed Hydrological Model. Water. 12(9), 2400. (SCOPUS/SCIE indexed,Q1) https://doi.org/10.3390/W12092400

Kumar, S. S., Deb Barma, S., & Amai, M. (2020). Simulation of coastal aquifer using mSim toolbox and COMSOL multiphysics. Journal of Earth System Science. 129(1),

66 (Springer). (SCOPUS/SCIE indexed, Q2) https://doi.org/10.1007/s12040-019-1329-9

Soni, A., S. Deb Barma, and A. Mahesha. (2024). Optimizing Groundwater Forecasting: Comparative Analysis of MLP Models Using Global and Regional Precipitation Data. EGU Conference, Vienna, 14-19 April.

Chowdari, K., Deb Barma, S., Bhat, N., Girisha, R., Gouda, K.C. (2022). Evaluation of ARIMA, Facebook Prophet and a boosting algorithm framework for monthly precipitation prediction of a semi-arid district of north Karnataka, India.: 2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology(ICERECT).IEEE,pp.1–5.(SCOPUS-indexed) https://doi.org/10.1109/ICERECT56837.2022.10059717