Cibin Raj's research interests include stormwater management, watershed modeling, the application of optimization tools in watershed analysis, and the ecohydrological impacts of climate and land use change.
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Projects
Recent Publications
Enhancing the reliability of hydrological simulations through global weather data assimilation in watersheds with limited data
Jayaprathiga, M., Rohith, A. N., Cibin, R. & Sudheer, K. P., Sep 2024, In: Stochastic Environmental Research and Risk Assessment. 38, 9, p. 3445-3459 15 p.Research output: Contribution to journal › Article › peer-review
Water quality impacts of recycling nutrients using organic fertilizers in circular agricultural scenarios
Lisenbee, W., Saha, A., Mohammadpour, P., Cibin, R., Kaye, J. P., Grady, C. & Chaubey, I., Aug 2024, In: Agricultural Systems. 219, 104041.Research output: Contribution to journal › Article › peer-review
A Framework to Model the Hydrology of Solar Farms Using EPA SWMM
Nair, A. A., Rohith, A. N., Cibin, R. & McPhillips, L. E., Feb 2024, In: Environmental Modeling and Assessment. 29, 1, p. 91-100 10 p.Research output: Contribution to journal › Article › peer-review
An extremes-weighted empirical quantile mapping for global climate model data bias correction for improved emphasis on extremes
Rohith, A. N. & Cibin, R., Jun 2024, In: Theoretical and Applied Climatology. 155, 6, p. 5515-5523 9 p.Research output: Contribution to journal › Article › peer-review
Prioritizing conservation practice locations for effective water quality improvement using the Agricultural Conservation Planning Framework (ACPF) and the Soil and Water Assessment Tool (SWAT)
Rohith, A. N., Karki, R., Veith, T. L., Preisendanz, H. E., Duncan, J. M., Kleinman, P. J. A. & Cibin, R., Jan 1 2024, In: Journal of Environmental Management. 349, 119514.Research output: Contribution to journal › Article › peer-review
The Selection of Global Climate Models for Regional Impact Studies Should Consider Information from Historical Simulations and Future Projections
Rohith, A. N., Mejia, A. & Cibin, R., 2024, (Accepted/In press) In: Earth Systems and Environment.Research output: Contribution to journal › Article › peer-review
Performance evaluation of deep learning based stream nitrate concentration prediction model to fill stream nitrate data gaps at low-frequency nitrate monitoring basins
Saha, G., Shen, C., Duncan, J. & Cibin, R., Apr 2024, In: Journal of Environmental Management. 357, 120721.Research output: Contribution to journal › Article › peer-review
Understanding future hydrologic challenges: Modelling the impact of climate change on river runoff in central Italy
Tariq, M., Rohith, A. N., Cibin, R., Aruffo, E., Abouzied, G. A. E. N. A. & Carlo, P. D., Apr 2024, In: Environmental Challenges. 15, 100899.Research output: Contribution to journal › Article › peer-review
Quantifying soil moisture and evapotranspiration heterogeneity within a solar farm: Implications for stormwater management
Yavari Bajehbaj, R., Cibin, R., Duncan, J. M. & McPhillips, L. E., Jul 2024, In: Journal of Hydrology. 638, 131474.Research output: Contribution to journal › Article › peer-review
Optimization and reflexivity in interdisciplinary agri-environmental scholarship
Chiles, R. M., Drohan, P. J., Cibin, R., O'Sullivan, L., Doody, D., Schulte, R. P. O., Grady, C., Jiang, F., Preisendanz, H. E., Dingkuhn, E. L., Veith, T. L. & Anderson, A., 2023, In: Frontiers in Sustainable Food Systems. 7, 1083388.Research output: Contribution to journal › Article › peer-review
A distributed model parameter optimization toolbox performing multisite calibration in the lump and distributed mode for the SWAT model
Feng, Q., Chen, L., Yang, L., Yen, H., Wang, R., Wu, F., Feng, Y., Raj, C., Engel, B. A., Omani, N., Oikonomou, P. D. & Zia, A., Oct 2023, In: Environmental Modelling and Software. 168, 105785.Research output: Contribution to journal › Article › peer-review
Global Sustainable Water Management: A Systematic Qualitative Review
Hasan, N., Pushpalatha, R., Manivasagam, V. S., Arlikatti, S. & Cibin, R., Oct 2023, In: Water Resources Management. 37, 13, p. 5255-5272 18 p.Research output: Contribution to journal › Review article › peer-review
USING NONSTATIONARY DEPTH-FREQUENCY CURVES TO CHARACTERIZE LOCAL PRECIPITATION TRENDS
Marali, K. & Cibin, R., 2023, In: Applied Engineering in Agriculture. 39, 1, p. 23-31 9 p.Research output: Contribution to journal › Article › peer-review
How does the choice of DEMs affect catchment hydrological modeling?
Moges, D. M., Virro, H., Kmoch, A., Cibin, R., Rohith, A. N., Martínez-Salvador, A., Conesa-García, C. & Uuemaa, E., Sep 20 2023, In: Science of the Total Environment. 892, 164627.Research output: Contribution to journal › Article › peer-review
A deep learning-based novel approach to generate continuous daily stream nitrate concentration for nitrate data-sparse watersheds
Saha, G. K., Rahmani, F., Shen, C., Li, L. & Cibin, R., Jun 20 2023, In: Science of the Total Environment. 878, 162930.Research output: Contribution to journal › Article › peer-review