GISS Personnel Directory

Dr. Henrique Haas

Columbia University

NASA Goddard Institute for Space Studies
2880 Broadway
New York, NY 10025 USA

E-mail: hh3114@columbia.edu
Phone: 212-678-5566
MS: 570

Recent Publications

Haas, H., L. Kalin, and H. Yen, 2024: Improved forest canopy evaporation leads to better predictions of ecohydrological processes. Ecol. Model., 489, 110620, doi:10.1016/j.ecolmodel.2024.110620.

Haas, H., L. Kalin, and E. Baltaci, 2024: How wide is the problem? Leveraging alternative data sources to enhance channel width representation in watershed modeling. Environ. Model. Softw., 172, 105935, doi:10.1016/j.envsoft.2023.105935.

Isik, S., H. Haas, L. Kalin, M.M. Hantush, and C. Nietch, 2023: Nutrient removal potential of headwater wetlands in coastal plains of Alabama, USA. MDPI Water, 15, no. 15, doi:10.3390/w15152687.

Haas, H., N.G.F. Reaver, R. Karki, L. Kalin, P. Srivastava, D.A. Kaplan, and C. Gonzalez-Benecke, 2022: Improving the representation of forests in hydrological models. Sci. Total Environ., 812, 151425, doi:10.1016/j.scitotenv.2021.151425.

Haas, H., L. Kalin, and P. Srivastava, 2022: Improved forest dynamics leads to better hydrological predictions in watershed modeling. Sci. Total Environ., 821, 153180, doi:10.1016/j.scitotenv.2022.153180.

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