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Publications


Improved Surface Runoff and Groundwater Recharge Representation Enhance Hydrological Modelling Predictions in a Monsoon Watershed in Central Brazil


Welber Ferreira Alves, Henrique Haas, Latif Kalin, Henriquel Llacer Roig

Hydrological Processes, vol. 40, John Wiley \& Sons, Inc. Hoboken, USA, 2026, pp. e70446


Dynamic land-use/cover improves simulations of long-term watershed-scale streamflow and water quality trends


Henrique Haas, Latif Kalin, Di Tian, John Lehrter

Journal of Hydrology, vol. 661, Elsevier, 2025, p. 133744


Ecohydrological Trend Detection in the Mobile Bay Watershed-AL Using a Rolling Window Mann-Kendall Test


Henrique Haas, Musa E{\c{s}}it, Latif Kalin, John Lehrter

Available at SSRN 5871901, 2025


Simulating forest evapotranspiration in hydrologic models: challenges and opportunities


DM Amatya, T Hwang, G Sun, M Dobre, H Haas, Y Zhang, MD Hamidi, N Liu, S Tian, A Oishi, others

Evapotranspiration in Agro-Ecosystems and Forestry, Academic Press, 2025, pp. 33--76


How wide is the problem? Leveraging alternative data sources to enhance channel width representation in watershed modeling


Henrique Haas, Latif Kalin, Enis Baltaci

Environmental Modelling \& Software, vol. 172, Elsevier, 2024, p. 105935


Improved forest canopy evaporation leads to better predictions of ecohydrological processes


Henrique Haas, Latif Kalin, Haw Yen

Ecological Modelling, vol. 489, Elsevier, 2024, p. 110620


Nutrient removal potential of headwater wetlands in coastal plains of Alabama, USA


Sabahattin Isik, Henrique Haas, Latif Kalin, Mohamed M Hantush, Christopher Nietch

Water, vol. 15, MDPI, 2023, p. 2687


Improved forest dynamics leads to better hydrological predictions in watershed modeling


Henrique Haas, Latif Kalin, Puneet Srivastava

Science of The Total Environment, vol. 821, Elsevier, 2022, p. 153180


Improving the representation of forests in hydrological models


Henrique Haas, Nathan GF Reaver, Ritesh Karki, Latif Kalin, Puneet Srivastava, David A Kaplan, Carlos Gonzalez-Benecke

Science of The Total Environment, vol. 812, Elsevier, 2022, p. 151425


Soft data in hydrologic modeling: Prediction of ecologically relevant flows with alternate land use/land cover data


Henrique Haas, Furkan Dosdogru, Latif Kalin, Haw Yen

Water, vol. 13, MDPI, 2021, p. 2947

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