Joe Ranalli

Edit, I'm also able to achieve it on the `d` function call with the same setup as before and: ```python air.d(p=1, d=1.1) ```

Ok I did a little messing around on a different computer, previous version of this message was in error because I had been using the wrong branch of the pyromat...

I needed to port the discrete point cloud case of the [Matlab WVM model](https://pvpmc.sandia.gov/applications/wavelet-variability-model/) to Python and have a working implementation for that case. This is essentially reducing the variability...

> > I support porting the WVM to python. Question is where. > > I agree, but I don't have an opinion on where to put it at this time....

I am in the process of implementing Matt Lave's cloud-field based downscaling in [SolarSpatialTools](https://github.com/jranalli/solarspatialtools). I have a working draft in a [development branch](https://github.com/jranalli/solarspatialtools/tree/cloud-field), but am finalizing a demo. Happy to...

Are you thinking of a timeline for live, and/or have a solution in mind? Happy to discuss.

Just making a note here that I should probably create tests around this issue to document/freeze behavior.

This isn't my method, so I don't want to misrepresent, but here's my take. It's fully synthetic, and more geared for generating high frequency data than monthly->hourly. The most direct...

I certainly agree with that description of the method's validation and can see the potential for misinterpretation of what the spatial field really represents.

Sure I'd love to see it. I'm definitely up for seeing a variety of documented methods. I think a comparative validation of some of the downscaling and/or synthetic irradiance methods...