This is the same as 0.3.0, but with a fix to the MANIFEST.in file for packaging.
This new release fixes a few bugs with the visualization module as well as adds the following features:
* Use of a 2-pass nested retrieval for running PyDDA with very large (1000's of points in x and y) grids. This will use a distributed cluster to map the problem of optimization to smaller chunks distributed onto workers.
* Quiver plots
There is now a dependency on dask and distributed for the nested retrieval.
This is the second release of PyDDA. This release supports:
1. Use of HRRR, WRF, and radar data as observational/model constraints in retrieval.
An arbitrary number of radars can be used, with custom weight fields used for each radar.
2. Plotting of gridded data using wind barbs and streamlines.