Assistant Professor - Water & Environmental Engineering
Dr. Annalisa Molini is an Assistant Professor in the Water and Environmental Engineering Program, and currently a Visiting Scholar at Ralph M. Parsons Laboratory of Massachusetts Institute of Technology as part of the MIT Technology and Development Program.
Her research mainly focuses the connections between climate change and water resources availability, hydro-climatology, and the stochastic modeling of hydrological and environmental processes, as well as hydro-statistics and the study of extreme events such as severe droughts.
She received her Master Degree in Environmental Sciences from the University of Genova (Italy) with a Major in Physics of Atmosphere and Oceanography, and her Ph.D. in Methods for Environmental Monitoring from the University of Basilicata (Italy) with a research focused on the stochastic modeling of complex and intermittent features of precipitation.
Prior to joining Masdar Institute, she was a Research Associate at Duke University, Department of Civil and Environmental Engineering with a joint appointment at the Nicholas School of the Environment, and Data Manager and Analyst in the World Meteorological Organization (WMO) Field Inter-comparison of Rainfall Intensity Gauges, at the Italian Air-force Meteorological Center of Vigna di Valle, Rome, Italy.
- Climate Dynamics
- Stochastic modeling of hydrological and environmental processes
Advisor to Current Masdar Institute Students:
- Bushra Chalermthai
- Iyasu Gebrezgabher Eibedingil
- Mohamed Almarzooqi
- Climate change and water resources availability
- Stochastic modeling in hydrology and eco-hydrology
- Non-linear time series analysis
- Hydro-statistics and wavelet-based spectral methods
- Climatology and modeling of extreme hydrological and biological events
- Hydro-meteorology and land-atmosphere interactions
- Complexity in the environment
- Detto M., Molini A., Katul G.G., Stoy P., Palmroth S., Baldocchi D.(2012). Causality and Persistence in Ecological Systems: A Nonparametric Spectral Granger Causality Approach. American Naturalist, 179(4), 524–535.
- Cava D., Katul G. G., Molini A., Elefante C. (2012). The role of surface characteristics on intermittency and zero crossing properties of atmospheric turbulence. Journal of Geophysical Research-Atmospheres, 117, D01104.
- Konings A. G., Feng X., Molini A., Manzoni S., Vico G., Porporato A.(2012). Thermodynamics of an idealized hydrologic cycle. Water Resources Research, 48, W05527.
- Molini A., Talkner P., Katul G. G., Porporato A. (2011). First passage time statistics of Brownian motion with purely time dependent drift and diffusion. Physica a Statistical Mechanics and Its Applications, 390(11), 1841–1852.
- Molini A., Katul G. G., Porporato A. (2011). Maximum discharge from snowmelt in a changing climate. Geophysical Research Letters, 38, L05402.
- Manzoni S., Molini A., Porporato A. (2011). Stochastic modelling of phytoremediation. Proceedings of the Royal Society a-Mathematical Physical and Engineering Sciences, 467(2135), 3188–3205.
For more information about Annalisa’s research go to her web page (link: http://www.waterandclimatelab.net), or download her CV (link: http://www.waterandclimatelab.net/documents/Curriculum_A_Molini.pdf)