This release will contain the following changes based on work on the PARIS project:

• "Minimum model error" is implemented as a true minimum, rather than a constant addition to the likelihood's uncertainty
• The model error from scaled pollution events can use pollution event size calculated as (obs Y) - (baseline H_bc * xbc), or as (modelled pollution event H * x)
• Filtering updates:
  • PBLH filter now filters obs whenever the PBL is below (inlet height) + 50m.
  • There is a new filter for times when the PBL is below a fixed threshold (200m?)
  • Filters can be specified by site using a dictionary in the ini file
• Log normal priors can specified via mean (default = 1) and stdev, rather than the mu and sigma parameters from PyMC
• Log normal priors can be "reparameterised" as np.exp(mu + sigma * Z) where Z is a standard normal variable. This can help with divergences.
• numpyro can be used for sampling
• the model can be run without model error (i.e. only obs error), for comparison with InTEM and Elris