Him Kiran Paudel
Research Associate | Atmospheric & Hydrological Scientist
Specializing in Climate Modeling, Precipitation Downscaling & Machine Learning Applications
About Me
I am a research-driven meteorologist with an M.Sc. in Meteorology from Tribhuvan University and over four years of professional experience in atmospheric sciences and climate research. Currently serving as a Research Associate at the Central Department of Hydrology and Meteorology, I specialize in numerical weather prediction, precipitation downscaling, and climate change impact assessments.
My work combines advanced computational methods with practical applications—developing deep learning models to enhance precipitation datasets, conducting multi-year WRF simulations for extreme weather events, and projecting future climate scenarios under different emission pathways. I am passionate about bridging the gap between cutting-edge climate science and actionable insights for researchers and decision-makers.
Professional Experience
Research Associate
Central Department of Hydrology and Meteorology, Tribhuvan University
July 2024 – Present
- Lead multi-year WRF simulations testing diverse parameterization schemes for extreme weather
- Validate WRF outputs against precipitation, temperature, and radiosonde observations
- Develop machine learning models (Random Forest) for wildfire prediction and climate projections
- Mentor students and conduct training workshops on Python, WRF, and climate data analysis
Gen-AI Hackathon Winner
"Unleashing the Future with Generative AI" | August 2024
- Developed innovative AI solution for landslide detection using remote sensing data
Technical Skills
Programming & Data Science
- Python (5+ years)
- R Programming
- Deep Learning & Machine Learning
- C# (ASP.NET, Unity Engine)
Atmospheric & Climate Modeling
- WRF (Weather Research & Forecasting)
- Numerical Weather Prediction
- Climate Data Analysis
- Hydrological Modeling (SWAT+)
Geospatial & Remote Sensing
- GIS (ArcGIS, QGIS Pro)
- Google Earth Engine (2+ years)
- Remote Sensing Analysis
Data & Visualization
- Data Analysis & Processing
- Statistical Methods
- Scientific Visualization
- Bias Correction & Downscaling
Research Projects
Deep Learning Precipitation Downscaling
M.Sc. Thesis Project
Developed a deep learning algorithm to downscale ERA5 0.25° precipitation data to 3 km resolution. Implemented empirical flood discharge estimation models and validated against ERA5 Land, IMERG, and station data for the Roshi Khola Basin.
WRF Climate Simulations & Validation
Ongoing Research
Conducting multi-year WRF simulations for extreme weather events with diverse parameterization schemes. Validating outputs against precipitation, temperature, and radiosonde observations to improve DHM's operational weather prediction systems.
Wildfire Prediction & Climate Projections
Research Associate Project
Developed Random Forest machine learning models for wildfire occurrence prediction using meteorological and environmental predictors. Projected end-of-century wildfire risk across Nepal using CMIP6 multi-model ensemble under SSP2-4.5 and SSP5-8.5 scenarios.
Spring Hydrology & Baseflow Analysis
Research Student Project
Conducted field measurements of spring discharge and river flow in the Dapcha River basin. Integrated observations into SWAT+ hydrological model to quantify spring contributions to baseflow through comprehensive hydrograph analysis.
Publications & Research Output
Published Articles
2025
"Impact of wildfire smoke on air pollution-related premature mortality in rapidly growing Kathmandu Valley"
Kuikel, S., Paudel, H.K., et al.
Atmospheric Environment X, 26, 100334
https://doi.org/10.1016/j.aeaoa.2025.1003342025
"Analyzing Extreme Precipitation during the Prolonged Summer Monsoon of 2022 in Nepal: Insights from Hourly Observational Data"
Adhikari, S., Lamichhane, P., Karki, J., Paudel, H.K et al.
Journal of Institute of Science and Technology, 30(1), 179-188
2025
"624 mm in 24 hours: Analysis and simulation of a new national rainfall record event in Nepal"
Kuikel, S., Kuinkel, D., Paudel, H.K et al.
Journal of Meteorological Research, Under Review
Research Articles Under Review
2026
"Historical Trend and Future Projection of Summer Temperature Extremes in Nepal"
Paudel, H.K, Kuikel, S., et al.
International Journal of Climatology (Under Review)
2026
"Diurnal Cycle of Precipitation over Nepal: Insights from Multi-Source Datasets"
Shrestha, B., Dawadi, B., Paudel, H.K et al.
International Journal of Climatology (Under Review)
Research Reports
2025
Wildfires in Nepal: Historical Trends, Current Status, Future Projections, Impacts, and Public Perception
Pokharel, B., Marahatta, S., Giri, S., Pradhananga D., Kuikel, S., Joshi, K. P., Kuinkel, D., Sapkota, S., & Paudel, H. K.
Central Department of Hydrology and Meteorology, Tribhuvan University
ISBN: 978-9937-1-9441-9
Education
M.Sc. in Meteorology
Central Department of Hydrology and Meteorology, Tribhuvan University
2023 – 2025 A.D
Thesis: "Deep-Learning Methods to Correct Gridded Precipitation Data"
B.Sc. in Meteorology & Physics
Tri-Chandra Multiple Campus, Kathmandu
2016 – 2021 A.D
Physics Extra-Major (2020-2021)
Get In Touch
Interested in collaboration, research opportunities, or discussing climate science? I'd love to hear from you.