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adithyavemuri/README.md

Computational wind & atmospheric modelling · Scientific software · Reproducible workflows

I develop modelling and scientific-computing tools spanning atmospheric simulation, wind energy, reproducible workflows and local AI.

Selected projects

Project What you can use it for Engineering focus
WRF_tools Analyse and visualise WRF/WRF-LES output, including turbulence and wind-energy diagnostics. Scientific computing, diagnostics and visualisation
qwen-local Download verified GGUF models and switch between Qwen, Gemma and Phi in a local browser. Local AI deployment, model management and user-space setup
wrf-autocompiler Build WRF-ARW/WPS with configurable build options and prerequisite checks, without root access. Build automation and dependency management
wrf-era5-case Prepare ERA5 reanalysis inputs and readable WRF/WPS case configuration from TOML. Data acquisition and reproducible simulation preparation

These are public, reusable projects. Each repository documents its setup, examples and limitations. For qwen-local, Linux operation is verified; Windows compatibility scripts are provided but end-to-end runtime testing is deferred.

In practice

From model output to a scientific explanation

WRF_tools wind and boundary-layer diagnostics: map, vertical section, time-height evolution and profiles

An example produced with WRF_tools: geographic context, a vertical section, time-height evolution and wind profiles in one view. This is model output, not observational validation.

Local models, one browser

Local model browser served by qwen-local

qwen-local handles verified downloads, runtime setup and installed-model selection. The browser interface is provided by llama.cpp. Models run locally, one at a time; this is not an autonomous agent or a guarantee of answer correctness.

Interests

  • Turbulence, atmospheric flows and wind energy.
  • Reproducible scientific computing and research software.
  • Clear, useful scientific visualisation.
  • Build automation, practical local AI and tools that make complex workflows usable.

Connect

LinkedIn · Explore my public repositories

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  1. WRF_tools WRF_tools Public

    Scientific Python toolkit for WRF/WRF-LES analysis, turbulence, wind-energy diagnostics and OpenFAST coupling.

    Python 12 4

  2. qwen-local qwen-local Public

    Local LLM installer and browser model switcher for Qwen, Gemma and Phi. Verified GGUF downloads, rootless Linux GPU setup, and Windows compatibility scripts.

    Python

  3. wrf-autocompiler wrf-autocompiler Public

    Rootless, configurable WRF-ARW and WPS builder with compiler, MPI, netCDF, module, and build-mode detection.

    Shell

  4. wrf-era5-case wrf-era5-case Public

    TOML-driven ERA5 reanalysis case preparation for WRF and WPS.

    Python

  5. wrf-source-tools wrf-source-tools Public

    Offline deterministic WRF Fortran source analysis, scheme call graphs, argument mapping, and implementation comparisons.

    Python