Releases: jmcook1186/biosnicar-py
Releases · jmcook1186/biosnicar-py
2.1
What's Changed
- Frontend by @jmcook1186 in #76
- Bump numpy from 1.18.1 to 1.21.0 by @dependabot in #77
- frontend dependecies to devcontainer by @tgoelles in #78
- fix error unit conversion by @lcvl41 in #81
- Python package by @tgoelles in #80
- Streamlit frontend by @tgoelles in #82
- fix dependency bug, add web app to docs by @jmcook1186 in #84
- Add easy albedo func by @jmcook1186 in #87
- remove rtd source & bump version by @jmcook1186 in #88
- Restructure biosnicar repository by @jmcook1186 in #89
- new ice algal ops by @lcvl41 in #92
- New features wout op files by @lcvl41 in #95
- OP files associated w/ latest PR by @lcvl41 in #96
- change paths to allow running code outside parent directory by @lcvl41 in #97
- add lwc to webapp + minor changes in config file by @lcvl41 in #98
- fix bug frsnl layers by @lcvl41 in #100
Full Changelog: 2.0...2.1
v2.0
BioSNICAR v2 is a major upgrade from BioSNICAR v1. The most significant changes are:
- implementation of the adding-doubling solver in addition to the Toon solver
- incorporation of empirically measured glacier and snow algae optical properties
- complete refactor of the code to conform to object-oriented programming norms
- branching off of legacy "functional" style BioSNICAR to "classic" branch
- Comprehensive Sphinx docs hosted at a public URL
- Extensive automated tests in the form of a pytest suite
- Github workflow that runs pytest tests for all PRs to main branch
v1.0
This is a major upgrade that includes:
- incorporation of the new adding-doubling solver and Fresnel reflecting layers
- new error handling and warnings to the user
- improved UI
- cleaned and refactors optical models
- new LAPs
- new testing framework that can be verified by any user
Release for zenodo archive
republishing v0.1 release too sync with zenodo
Initial Release of Python implementation of BioSNICAR_GO
Python implementation of the BiOSNICAR_GO software for predicting the albedo of biologically-darkened snow and ice.