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RBhupi/README.md

Bhupendra A. Raut

Computational Environmental Scientist · Argonne National Laboratory

I build open-source tools for radar/satellite remote sensing, atmospheric data analysis, and AI-driven detection of clouds, storms, and extreme weather.

Google Scholar ORCID Twitter


Research Focus

Remote sensing of clouds and precipitation · complex data analysis with statistics, AI, and computer vision · open-source scientific software.

Currently working on

  • Edge-computing methods for atmospheric observation and sensor networks
  • ARM radar value-added products (polarimetry, Doppler spectra)
  • Urban eddy-covariance flux measurements

Currently learning

  • Self-supervised AI architectures
  • Eddy covariance and flux measurement techniques
  • WRF (Weather Research and Forecasting Model)

Open to collaborate on

  • AI-based wildfire detection (with UCSD / WIFIRE)
  • Derecho impacts on energy infrastructure (with ISU, Stanford)

Featured Projects

Full publication record on Google Scholar.


Skills

python R pytorch scikit-learn opencv linux docker git


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  1. ARM-DOE/Adapt ARM-DOE/Adapt Public

    Adapt is a real-time weather radar data analysis framework for informed adaptive scanning of ARM radars.

    Python 5 5

  2. CSU-Radarmet/CSU_RadarTools CSU-Radarmet/CSU_RadarTools Public

    A module of independent functions to do precipitation retrievals from polarimetric radar data

    Jupyter Notebook 101 45

  3. tobac-project/tobac tobac-project/tobac Public

    Tracking and object-based analysis of clouds

    Python 137 65

  4. TINT TINT Public

    Forked from openradar/TINT

    TINT Is Not TITAN. Python code for tracking objects. Specifically storm cells.

    Python

  5. REClass-Rpkg REClass-Rpkg Public

    R package for separating convective and stratiform echoes in weather radar data.

    R

  6. arm-summer-school-2026 arm-summer-school-2026 Public

    Forked from ARM-Development/arm-summer-school-2026

    Repository for the 2026 ARM Summer School

    Jupyter Notebook