https://github.com/daniloceano/atmos-bud
Computes heat, vorticity and water budgets for a limited area in the atmosphere
Science Score: 26.0%
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (10.4%) to scientific vocabulary
Keywords
Repository
Computes heat, vorticity and water budgets for a limited area in the atmosphere
Basic Info
Statistics
- Stars: 10
- Watchers: 1
- Forks: 4
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
ATMOS-BUD Overview
ATMOS-BUD is a comprehensive software suite designed for calculating heat, vorticity, and moisture balances within limited areas of the atmosphere. Developed at the Institute of Astronomy, Geophysics, and Atmospheric Sciences of the University of São Paulo, it's a key tool for students and researchers in atmospheric sciences.
Key Features
- Processes atmospheric model and reanalysis data in NetCDF format.
- Outputs CSV files for spatial averages and a comprehensive NetCDF file for spatial results.
- Supports Fixed Domain, Semi-Lagrangian Domain, and Interactive Domain operational frameworks.
Quasi-Geostrophic Thermodynamic Equation
plaintext
∂T/∂t = -Vh · ∇hT - Σω + Q
Where T is temperature, Vh is the horizontal wind vector, Σ is the static stability parameter, ω is the vertical velocity, and Q represents diabatic heating.
Quasi-Geostrophic Vorticity Budget Equation
plaintext
∂ζ/∂t = -Vh · ∇hζ - (ζω/Δp) - βv - ζ∇ · Vh - f∇ · Vh + Tilting Term
Where ζ is vorticity, β is the change in Coriolis parameter with latitude, and f is the Coriolis parameter.
Water Budget Equation
plaintext
∫∂q/∂t dp = -∫Vh · ∇q dp + ∫S dp
Where q is specific humidity, Vh is the horizontal wind vector, and S represents net sources/sinks.
ATMOS-BUD combines academic rigor with practical application, making it a gateway to understanding atmospheric dynamics for both educational exploration and advanced research.
Full Documentation
The full documentation for ATMOS-BUD can be found on Read the Docs.
Owner
- Name: Danilo Couto de Souza
- Login: daniloceano
- Kind: user
- Location: São Paulo
- Repositories: 2
- Profile: https://github.com/daniloceano
JOSS Publication
ATMOS-BUD: A Comprehensive Python Tool for Analyzing Heat, Vorticity and Water Budgets on the Atmosphere
Authors
Universidade de São Paulo (USP), Instituto de Astronomia, Geofísica e Ciências Atmosféricas (IAG), São Paulo, Brazil &, Climate Risk Initiative, IRB(re), Rio de Janeiro, Brazil
Universidade de São Paulo (USP), Instituto de Astronomia, Geofísica e Ciências Atmosféricas (IAG), São Paulo, Brazil &
Universidade de São Paulo (USP), Instituto de Astronomia, Geofísica e Ciências Atmosféricas (IAG), São Paulo, Brazil &
Editor
Anjali Sandip
Tags
atmospheric diagnostics quasi-geostrophic meteorology climate pythonGitHub Events
Total
- Issues event: 7
- Watch event: 3
- Delete event: 2
- Issue comment event: 4
- Push event: 59
- Pull request event: 10
- Fork event: 3
- Create event: 2
Last Year
- Issues event: 7
- Watch event: 3
- Delete event: 2
- Issue comment event: 4
- Push event: 59
- Pull request event: 10
- Fork event: 3
- Create event: 2
Committers
Last synced: 10 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| daniloceano | d****o@g****m | 145 |
Packages
- Total packages: 1
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Total downloads:
- pypi 31 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 3
- Total maintainers: 1
pypi.org: atmos-bud
Program for analyzing the heat, vorticity and humidity budgets of limited regions on the atmosphere.
- Homepage: https://github.com/daniloceano/ATMOS-BUD
- Documentation: https://github.com/daniloceano/ATMOS-BUD/docs
- License: GPL-3.0
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Latest release: 0.1.1
published 5 months ago
Rankings
Maintainers (1)
Dependencies
- Cartopy ==0.21.1
- MetPy ==1.4.1
- Pillow ==9.4.0
- Pint ==0.20.1
- PyQt5-sip ==12.11.0
- atomicwrites ==1.4.0
- brotlipy ==0.7.0
- cmocean ==3.0.3
- contourpy ==1.0.7
- cycler ==0.11.0
- fonttools ==4.39.3
- inflection ==0.5.1
- joblib ==1.2.0
- kiwisolver ==1.4.4
- matplotlib ==3.7.1
- mkl-fft ==1.3.1
- mkl-service ==2.4.0
- mypy-extensions ==0.4.3
- pandas ==1.5.3
- platformdirs ==3.4.0
- ply ==3.11
- pooch ==1.7.0
- pyls-spyder ==0.4.0
- pyparsing ==3.0.9
- pyproj ==3.5.0
- pyshp ==2.3.1
- python-lsp-jsonrpc ==1.0.0
- scikit-learn ==1.2.2
- scipy ==1.10.1
- shapely ==2.0.1
- threadpoolctl ==3.1.0
- webencodings ==0.5.1
- zict ==2.1.0
- sphinx ==7.2.6
- actions/checkout v2 composite
- actions/setup-python v2 composite
- Cartopy ==0.22.0
- MetPy ==1.6.1
- cdsapi >=0.6
- dask ==2024.2.0
- numpy ==1.26.4
- pandas ==2.2.3
- scipy ==1.12.0
- xarray ==2025.4.0