Water Resources and Environmental Engineer with expertise in process-based hydrological modelling, spatial analysis, and the integration of hydro-climatic and satellite datasets. I specialize in turning complex environmental data into actionable, reproducible insights.
- 🌍 Environmental Modeler - Building and evaluating agro-hydrological models (like SWAT+) to simulate water-balance components and assess climate variability.
- 💻 Data Pipeline Developer - Automating workflows using Python and R to extract, process, and analyze massive meteorological datasets (DWD, ECMWF).
- 🛰️ Geostatistical Analyst - Integrating Earth Observation data (GRACE, Sentinel, Landsat) to solve real-world water and environmental problems.
- Leibniz University Hannover - Processed multi-source hydro-climatic datasets and built an automated S2S forecasting pipeline for irrigation management scenarios.
- Hydrological Research (Brazil) - Integrated GRACE satellite data with SWAT+ to analyze water storage dynamics and drought in a semi-arid basin.
- Spatial Optimization - Developed Python geospatial tools (like meteo-interp) for meteorological interpolation using IDW and Richter correction.
I specialize in transparent, "no black box" spatial modelling, with deep expertise in reproducible pipelines, GIS, and data-driven environmental engineering.
📫 Reach me: ghnfarid@gmail.com
- Hydrological & Environmental Modelling (SWAT+, SWMM, HBV, HEC-RAS 1D/2D, WEAP)
- Spatial Analysis & GIS (ArcGIS Pro, QGIS, ESA SNAP)
- Programming & Automation (Python, R, MATLAB)
- Data Engineering (NetCDF, Xarray, Pandas, long time-series processing)
- Geostatistics & Remote Sensing (Kriging, IDW, GRACE, Sentinel, Landsat)
