dapper

Root package of DAPPER (Data Assimilation with Python: a Package for Experimental Research)

Adding your own model/method

If you wish to illustrate and run benchmarks with your own model or method, then

• If it is a complex one, you may be better off using DAPPER merely as inspiration (but you can still cite it) rather than trying to squeeze everything into its templates.
• If it is relatively simple, however, you may well want to use DAPPER. In that case, read this:
  • mods
  • da_methods

Since the generality of DAPPER is limited it is quite likely you will also need to make changes to the DAPPER code itself.

Modules:

Name	Description
da_methods	Contains the data assimilation methods included with DAPPER.
dpr_config	Runtime configuration for DAPPER.
mods	Contains models included with DAPPER.
stats	Statistics for the assessment of DA methods.
tools	If the only tool you have is a hammer, it's hard to eat spaghetti.
xp_launch	Tools (notably xpList) for setup and running of experiments (known as xps).
xp_process	Tools (notably xpSpace) for processing and presenting experiment data.