Cloud Seeding Optimization Framework
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Summary
Developed a framework to optimize cloud seeding operations through pollutant-rainfall sensitivity maps and automated UAV/aircraft waypoints.
About
With over 20 years of experience in numerical modeling and forecasting, my professional focus is on developing advanced systems for atmospheric, climate, and air pollution prediction. These systems deliver fast and reliable early warnings, enabling organizations and industries to make timely, data-driven decisions in managing environmental and climate-related challenges.
In addition, I specialize in chemical air pollution modeling based on the CBM-Z mechanism, providing precise simulations of complex atmospheric processes. This expertise allows me to offer practical consulting solutions for environmental pollution management and air quality improvement.
My innovative work also emphasizes vertical pollutant profiling in the middle and upper atmosphere, particularly their role in forming Cloud Condensation Nuclei (CCN) and Ice Nucleating Particles (INP). This pioneering approach bridges atmospheric chemistry with cloud microphysics, offering new insights into cloud seeding, precipitation processes, water resource management, and climate resilience.
My goal is to transform complex atmospheric and chemical data into actionable insights—insights that empower organizations, industries, and international projects to manage the environment more effectively, reduce risks, and drive sustainable development.
Work
IRIMO
|Head of Weather Forecasting & Rapid Warning Department
Karaj, Alborz Province, Iran (Islamic Republic of)
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Summary
Led operational forecasting and rapid warning systems for extreme weather events, integrating advanced atmospheric modeling with strategic public safety initiatives.
Highlights
Led the development and deployment of operational forecasting and early warning systems, significantly improving preparedness for extreme weather events.
Designed and implemented pollutant sensitivity models, integrating atmospheric chemistry and microphysics, to optimize targeted cloud seeding operations and enhance precipitation efficiency.
Developed automated UAV/aircraft seeding routes with 3x3 km resolution, achieving a measurable reduction in blind flights and enhancing operational efficiency for cloud seeding missions.
Directed sophisticated AQI forecasting and pollution modeling projects utilizing WRF-Chem and WRF-CMAQ, accurately simulating chemical and physical pollutants across surface and mid-atmospheric layers.
Enhanced public safety by integrating timely hazard advisories and urban air quality warnings into operational systems, improving risk communication and community response.
IRIMO
|Head of Caspian Sea Forecasting Center
Anzali, Gilan Province, Iran (Islamic Republic of)
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Summary
Directed comprehensive marine forecasting operations for coastal safety and port activities, ensuring accurate wave and surge predictions for the Caspian Sea.
Highlights
Directed all marine forecasting operations, ensuring the safety and efficiency of coastal and port activities across the Caspian Sea region.
Implemented and optimized WAM, SWAN, and WW3 models, achieving high accuracy in wave and surge predictions for critical maritime operations.
Designed and operationalized the Caspian Sea Wave Forecasting & Marine Warning System, delivering real-time hazard advisories that improved safety for fisheries, shipping, and coastal management.
Coordinated effectively with local authorities, enhancing regional resilience and response capabilities against marine hazards and extreme weather events.
Education
Tehran-Shomal Azad University
Tehran, Tehran Province, Iran (Islamic Republic of)
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M.Sc.
Meteorology
Courses
Atmospheric Dynamics & Numerical Modeling
International WMO Courses
N/A, N/A, N/A
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Professional Coursework
Dynamics & Synoptics, Numerical Weather Prediction, Advanced Modeling
Courses
Dynamics & Synoptics
Numerical Weather Prediction
Advanced Modeling (WRF, MM5, RegCM4, WW3, SWAN)
Languages
Persian
English
Skills
Atmospheric & Marine Numerical Modeling
WRF, MM5, RegCM4, CMAQ, WW3, SWAN.
Air Quality & Pollution Modeling
AQI prediction, WRF-Chem, WRF-CMAQ.
Environmental & Climate Science
Cloud Seeding Optimization, Pollutant Sensitivity Mapping, Drought & Climate Risk Assessment (SPI/SPEI indices, microclimate detection, ensemble forecasting), Environmental Risk Assessment, Early Warning Systems.
Data Science & Programming
Python, SQL/PostgreSQL, GIS, Statistical Analysis, Data Visualization, C, Fortran, HTML, PHP, VB, .NET, Bash, SPSS, Excel VBA, Database Design, Socket Programming.
Systems & Engineering
Windows/Linux environments, A2D/D2A design, Robotic control, Microcontroller programming (8051, AVR), VHDL/Verilog.
Communication
Scientific Communication, Bilingual Technical Writing (English/Persian).
Projects
Urban Pollution Profiling
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Summary
Applied CMAQ and CFD models to analyze BC/OC/NOx impacts, improving urban air quality warnings.
Urban Air Quality Forecasting & Pollution Modeling
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Summary
Designed AQI prediction and chemical/physical pollution simulations to support urban hazard warnings and environmental policy decisions.
Drought Forecasting & Climate Analysis System (SPI/SPEI-based)
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Summary
Built a 5 km resolution drought prediction model using SPI/SPEI indices for early warning and microclimate detection.
Caspian Sea Wave Forecasting & Marine Warning System
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Summary
Developed an operational wave height prediction system for the Caspian Sea, delivering real-time marine hazard advisories.