System Components
=================

Data Assimilation Core
----------------------
1. **State Management**
   - State vector operations
   - Variable transformations
   - Balance constraints

2. **Observation System**
   - Observation operators
   - Quality control
   - Thinning algorithms

3. **Covariance Modeling**
   - Static covariances
   - Ensemble-based covariances
   - Hybrid formulations

4. **Minimization System**
   - Cost function evaluation
   - Gradient computation
   - Optimization algorithms

Supporting Infrastructure
-------------------------
1. **I/O System**
   - Model state I/O
   - Observation handling
   - Diagnostic output

2. **Parallel Computing**
   - Domain decomposition
   - Load balancing
   - Communication patterns

3. **Utilities**
   - Configuration management
   - Logging system
   - Diagnostic tools

User Interface
--------------
1. **Python Interface**
   - High-level control
   - Result visualization
   - Experiment management

2. **Configuration System**
   - Parameter management
   - Experiment setup
   - Runtime configuration