Her primary research interests are in hydrology, hydrometeorology and environmental physics with a focus on water-cycle processes in the coupled land-atmosphere-biosphere system, particularly in regions of complex terrain. She has expertise in the critical area of water security and environmental sustainability, with emphasis on the study of water cycle processes taking place in the land-atmosphere-biosphere system. Her research relies on intensive field and laboratory experiments, large-scale computational modeling, nonlinear data analysis and environmental informatics.
She has received multiple prestigious awards for her numerous pioneering technical contributions and many leadership roles in major national and international research and professional programs, including election to the National Academy of Engineering in 2019. She is a Fellow of the American Society of Civil Engineers and a member of the American Meteorological Society, the American Association for the Advancement of Science and the American Geophysical Union.
Water Resources Engineering and Science
Development and application of information technology as a research tool and in the operation of complex engineering systems.
Computational environmental fluid mechanics and nonlinear dynamics;
Remote sensing of the environment using microwave and infrared sensors; long– range predictability and risk analysis of natural hazards;
Physics of water cycle processes in mountainous regions with a focus on cloud formation and precipitation;
- M.S. University of Porto, Portugal
- M.S. Oregon Institute of Technology, 1990
- Ph.D. University of Washington, 1993
Additional Campus Affiliations
Donald Biggar Willett Chair, Civil and Environmental Engineering
Head, Civil and Environmental Engineering
Professor, Civil and Environmental Engineering
Eghdami, M., Barros, A. P., Jiménez, P. A., Juliano, T. W., & Kosovic, B. (2022). Diagnosis of Second-Order Turbulent Properties of the Surface Layer for Three-Dimensional Flow Based on the Mellor-Yamada Model. Monthly Weather Review, 150(5), 1003-1021. https://doi.org/10.1175/MWR-D-21-0101.1
Liao, M., & Barros, A. P. (2022). Toward optimal rainfall – Hydrologic QPE correction in headwater basins. Remote Sensing of Environment, 279, . https://doi.org/10.1016/j.rse.2022.113107
Trumbore, S., Barros, A. P., Becker, T. W., Davidson, E. A., Ehlmann, B. L., Gruber, N., Hofmann, E. E., Hudson, M. K., Illangasekare, T. H., Kang, S., Montanari, A., Nimmo, F., Parsons, T., Salters, V. J. M., Schimel, D., Stevens, B., Wuebbles, D. J., Zeitler, P., & Zhu, T. (2022). Thank You to Our 2021 Peer Reviewers. AGU Advances, 3(2), [e2022AV000716]. https://doi.org/10.1029/2022AV000716
Arulraj, M., & Barros, A. P. (2021). Automatic detection and classification of low-level orographic precipitation processes from space-borne radars using machine learning. Remote Sensing of Environment, 257, . https://doi.org/10.1016/j.rse.2021.112355
Kim, R. S., Kumar, S., Vuyovich, C., Houser, P., Lundquist, J., Mudryk, L., Durand, M., Barros, A., Kim, E. J., Forman, B. A., Gutmann, E. D., Wrzesien, M. L., Garnaud, C., Sandells, M., Marshall, H. P., Cristea, N., Pflug, J. M., Johnston, J., Cao, Y., ... Wang, S. (2021). Snow Ensemble Uncertainty Project (SEUP): Quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling. Cryosphere, 15(2), 771-791. https://doi.org/10.5194/tc-15-771-2021