Selected Publications
We list a small selection here. For a complete, up-to-date list, visit our Google Scholar.
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J. Thomas, A. N. Rohith, D. E. Sebastian, S. Nizar, P. J. Jainet, V. K. Vema, K. P. Sudheer
Assesses how projected warming alters hydrological responses across the southern Western Ghats and western coastal plains using CMIP6 forcings with VIC. Highlights spatial variability in sensitivity and implications for planning.
J. Thomas, S. Nizar, A. N. Rohith, P. J. Jainet, D. E. Sebastian, V. K. Vema, K. P. Sudheer
A chapter synthesizing Kerala-s hydro-climatic setting, physiography, and runoff regimes to provide context for ecohydrology, management, and adaptation.
A. N. Rohith, R. Cibin
Introduces an extremes-weighted empirical quantile mapping to bias-correct GCM precipitation with improved emphasis on tails, strengthening extreme-focused analyses.
A. N. Rohith, R. Karki, T. L. Veith, H. E. Preisendanz, J. M. Duncan, P. J. A. Kleinman, R. Cibin
Combines ACPF and SWAT to prioritize conservation practices for water-quality gains. Demonstrates reproducible screening and targeting with open workflows.
A. N. Rohith, A. Mejia, R. Cibin
Argues that GCM selection should jointly consider skill in historical simulations and spread in future projections to avoid biased impact assessments.
M. Jayaprathiga, A. N. Rohith, R. Cibin, K. P. Sudheer
Demonstrates reliability gains in hydrological simulations by assimilating global weather products in data-scarce watersheds; provides a reproducible setup.
JournalEnvironmental Challenges
M. Tariq, A. N. Rohith, R. Cibin, E. Aruffo, G. A. A. Abouzied, P. Di Carlo
Models climate change impacts on river runoff in central Italy, highlighting spatial heterogeneity and informing adaptation under uncertainty.
A. A. Nair, A. N. Rohith, R. Cibin, L. E. McPhillips
Develops a practical framework in EPA SWMM for representing solar farms hydrology, supporting siting and design assessments.
A. N. Rohith, K. P. Sudheer
Proposes a safe-fail drainage design framework minimizing failure probability and flood severity under uncertainty, with application to urban systems.
D. M. Moges, H. Virro, A. Kmoch, R. Cibin, A. N. Rohith, A. Mart-nez-Salvador, C. Conesa-Garc-a, E. Uuemaa
Quantifies how different DEM sources influence hydrological modeling outcomes, providing guidance on DEM selection and sensitivity.
V. K. Vema, K. P. Sudheer, A. N. Rohith, I. Chaubey
Assesses agricultural productivity impacts of water conservation structures under climate change, informing placement and policy.
A. N. Rohith, M. W. Gitau, I. Chaubey, K. P. Sudheer
Presents a multistate first-order Markov chain to model timing structure of extreme rainfall events, improving representation of interarrival sequences.
A. N. Rohith, K. P. Sudheer
Introduces an L-moments based bias-correction for extreme rainfall, improving tail behavior for hydrologic risk applications.