James Adams
SPI processing results show missing values in locations where we expect data. See attached image result of recent CMORPH SPI processing (gamma with missing data vs. Pearson3)  
Begueria et al (2014) as well as Allen et al (1998) suggest Hargreaves as a better PET approximation method compared to Thornthwaite's when solar radiation, wind speed, and relative humidity...
Provide implementation and CLI to allow for the computation of [EDDI](https://psl.noaa.gov/eddi/) datasets.
**Describe the solution you'd like** PET using Penman-Monteith method **Describe alternatives you've considered** [pyeto](https://github.com/woodcrafty/PyETo) **Additional context** This will facilitate an implementation of [EDDI](https://psl.noaa.gov/eddi/)
**Is your feature request related to a problem? Please describe.** Users have requested an ability to process seasonal datasets. **Describe the solution you'd like** A new --periodicty argument for "seasonal"...
The example for PET monthly mentions a calibration period that is not specified in the example.
Add a section to the documentation describing the data requirements. For example, we have a requirement that [precipitation units be millimeters or inches](https://github.com/monocongo/climate_indices/blob/master/src/climate_indices/__main__.py#L753) but this is not clearly spelled out...
We've included Pillow as a requirement, by mistake. Eliminate this package from the list in `requirements.txt` in order to avoid this [security risk](https://github.com/advisories/GHSA-5gm3-px64-rw72).
- [ ] Development Status :: 5 - Production/Stable - [ ] Intended Audience :: Science/Research - [ ] Topic :: Scientific/Engineering :: Atmospheric Science - [ ] Topic ::...
Create a Jupyter notebook demonstrating the use of the 'indices' module.