A Python toolbox for the objective analysis (interpolation) of oceanographic and meteorological data, particularly for creating gridded fields from sparse observations.
辛
- Python
- 数据分析, 生态与可持续性, 流体动力学, 海洋科学, 数学
- 环境工程, 环境影响, 机器学习, 预测性维护算法, 工艺优化, 质量管理, 统计分析, 以使用者為中心的設計
特点
- Objective analysis (Optimal Interpolation),gridding of sparse data,variational analysis,data assimilation (simple forms),error estimation for gridded fields,support for n-dimensional data,integration with NumPy and xarray,tools for handling oceanographic data
定价
- 免费
- Specialized for oceanographic/meteorological data interpolation, implements established objective analysis techniques, useful for creating consistent gridded datasets from observations.
- Niche application, smaller user community, development activity appears somewhat limited, documentation might be focused on specific use cases or assume familiarity with objective analysis methods.
最适合：
- Oceanographers and meteorologists needing to interpolate sparse observational data onto regular grids using objective analysis methods.