dataAssimilation

Data Assimilation Final Project

Description: Data Assmilation (Fall, 2021) Final Project DA Methods included:

• EKF
• 3DVar
• incremental 3DVar
• 4DVar
• incremental 4DVar

Let's Make the Algorithms Work

1. Start

Created needed data including observation, truth, and initial analysis guess:

1. Modify parameterControl.py to set the global parameters
2. Generate needed data: $ python dataRecorder.py -> placed in ./initRecord
3. OUTPUT:

• initRecord/observationOperator: for all algorithm use
• initRecord/*ObservationNoiseType*_*NoiseScale*/:
  • observation in full/sparse
  • truth in full/sparse
  • initial error covariance
  • initial analysis state

2. Run Algorithm

Run DA algorithm to generate outcomes

1. Just choose one method to run $ python *method*.py
2. The data would be saved in "./method_record"
3. OUTPUT:

• *method*_record/:
  • *NoiseType*_*NoiseScale*_*variable*.txt