Mozhgan A. Farahani
Hydrology Land Modeling Postdoc Fellow Ii @Nsf Ncar - The National Center For Atmospheric Research
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WORK HISTORY
Hydrology Land Modeling Postdoc Fellow Ii @Nsf Ncar - The National Center For Atmospheric Research
Boulder, CO, US
Developed AI‑driven strategies to calibrate large‑domain land and hydrology models by integrating machine learning concepts, optimizing parameters of process‑based hydrological models across diverse and extensive domains. Enhanced the predictability of water resource systems under climate variability, directly contributing to national and global water security initiatives.
EDUCATION
University of Tehran
Master of Science (MS), Civil Engineering
University of Colorado Denver
Doctor of Philosophy - PhD, Civil Engineering
ABOUT MOZHGAN A. FARAHANI
I am a Postdoctoral Research Fellow at NCAR, leveraging AI/ML and information theory to optimize large-scale hydrology and land models for improved climate resilience and water resource predictability. Developed ML-driven parameter estimation frameworks, enhancing calibration efficiency, reducing computational time, and improving predictive accuracy in hydrology modeling across diverse climate regions. Applied information theory methods to strengthen uncertainty quantification in climate models, advancing reliability in large-scale simulations.Passionate about bridging research and real-world applications, I collaborate with federal agencies to strengthen national water security initiatives. I thrive in fast-paced, collaborative environments, solving technical and logistical challenges to drive meaningful change at the intersection of AI and climate science
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