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	Load default and user configurations into the rc dict.
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.