fourDvel2

Routines for inferring time-dependent, 3d displacement fields from displacement data derived from temporally-dense synthetic-apeature radar observations fourDvel2 is an extention of fourDvel to allow inferring ephemeral grounding on ice shelves

Requirement

• numpy
• scipy
• multiprocessing
• matplotlib
• pickle

Routines

• basics: Provide the most basic functions and parameters

• fourdvel: Provide the essential functionality for inversion and data analysis

1. Read parameters
2. Load displacement data into memory
3. Linear inversion functionality: construct design matrix, model prior and data error prior; Parameter estimtion
4. Convert results into different formats

• configure: Construc inverse problem data vector either from synthetic data or real data

• estimate:

1. Perform different estimatie/inversion tasks: linear inversion, nonlinear inversion, etc
2. Construct design matrix

• driver_fourdvel: The driver the of fourDvel which multithreads the task

• simulation: Generate synthetic data

• analysis Load results and perform analysis

• solvers Solvers for nonlinear inverse problem

• display Display the results

• output Output the results as XYZ files (lon, lat, value)