All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
- Initial repository structure
- Core analysis scripts for storage change estimation
- InSAR subsidence analysis workflow
- Multivariate regression for storativity determination
- Comprehensive documentation (README, DATA.md, METHODS.md)
- Python environment configuration files
- Unit test framework
storage_change_calc.py: Main storage change estimation from water levelsstorage_change_calc_from_subsidence.py: InSAR-based storage analysisstorativity_precip_coeff_inflow_determination.py: Regression-based aquifer property estimationpercent_pumping_from_storage_change.py: Pumping contribution analysisdiversion_plots.py: Surface water diversion visualization- Complete dataset processing pipeline
- Bootstrap uncertainty quantification
- Google Earth Engine integration for PRISM data extraction
- Comprehensive README with installation and usage instructions
- Detailed methodology documentation
- Data sources and processing documentation
- Contributing guidelines
- MIT License
- Conda environment specification
- Requirements.txt for pip installation
- .gitignore configured for Python and geospatial data
- GitHub repository structure
- Modularize scripts into reusable functions
- Add configuration file for file paths
- Implement automated testing suite
- Create Jupyter notebook tutorials
- Add interactive visualization dashboard
- Integrate additional climate datasets (GridMET, SNODAS)
- Implement kriging optimization for head interpolation
- Add time-series analysis for trend detection
- Create automated report generation
- Hardcoded file paths in all scripts (need to be updated by users)
- Limited error handling in data loading functions
- InSAR raster file not included (too large for Git)
- Some scripts require specific column names in input data
- Docker containerization for reproducibility
- CI/CD pipeline with GitHub Actions
- Automated data downloading from USGS NWIS
- Web-based interface for visualization
- Integration with MODFLOW for groundwater modeling
- Machine learning for pumping prediction
- v1.0.0 - Initial release (January 2025)
- Core functionality for PhD dissertation research
- Manuscript submitted to Journal of Hydrology