Hydrologic process representation
I study how infiltration, baseflow, preferential flow, and soil water retention shape model skill, especially in dry regions.
About Me
Researcher, modeler, and science communicator
I am Mohammad Ali Farmani, a Ph.D. researcher in Hydrology and Atmospheric Sciences at the University of Arizona also pursuing an M.S. in Data Science. My work focuses on improving how we represent groundwater recharge, soil moisture persistence, and streamflow generation in large-scale hydrologic models.
I care deeply about making hydrologic science useful beyond academic spaces. That means not only building better models, but also building better computational workflows, clearer analyses, and more decision-relevant interpretations for communities, agriculture, and climate resilience.
What I Work On
Research themes
Climate and water resilience
I explore how precipitation intensity, drought, and land-atmosphere interactions affect water availability and risk.
Scientific computing
I build scalable workflows in Python and HPC environments to process large geospatial and hydrologic datasets.
Open research tools
I turn parts of my work into reusable software so other researchers can reproduce and extend hydrologic analyses.
How I Contribute
Evidence across roles
As a hydrologist
- Land surface modeling with Noah-MP
- Baseflow and soil-moisture process studies
- Routing and runoff-generation analysis
As a water resources researcher
- Urban drainage and flood resilience with SWMM
- Groundwater recharge and arid-region water questions
- Smart water distribution and decision-support systems
As a data scientist
- Bayesian inference, time-series analysis, and visualization
- Crash-severity and climate-data prediction workflows
- Database design and analytical dashboards
As an ML engineer
- PyTorch-based scientific ML architectures
- HPC training pipelines and geospatial preprocessing
- Reproducible research software and benchmark comparisons
Collaboration
How we can work together
Iām especially interested in collaborations at the intersection of hydrology, climate science, environmental data analysis, and open-source scientific software.
Research collaboration
- Land surface modeling and streamflow prediction
- Groundwater recharge and baseflow analysis
- Soil moisture dynamics and land-atmosphere coupling
Technical collaboration
- Python-based hydrologic workflows
- Reproducible geospatial pipelines
- Scientific software and data products
Contact: farmani@arizona.edu | LinkedIn | Google Scholar