# Python For Climate Action
## SciPy2020 breakout

### packages
- `pvlib` -- https://pvlib-python.readthedocs.io/en/stable/
- `napari` -- https://napari.org
- see specifically the "napari for geodata" issue: https://github.com/napari/napari/issues/973
- Currently for individual tiles (ie ignoring nonlinear transforms), napari works pretty nicely as a time-series or volumetric or both viewer.

### data formats
+ Zarr
- https://zarr.readthedocs.io/en/stable/
- Silvana Ayala Perez (SAP)
+ models, projects, formats

### dataset or model that is glaringly missing?
+ climate action, science
+ solar, hydro

+ The Yale Climate Survey is an interesting dataset! https://climatecommunication.yale.edu/visualizations-data/
 (SS)

#### how to present
+ JNI:
- making people understand climate science more intuitively
- de-politicization of climate science
- economical solutions that don't require taxes which are so blasphemous to certain parts of political spectrum

+ Michael Klatt (MK)
- they know climate is changing, as long as you don't call it "global warming", they're more receptive to it
- tell me how this is affecting my wheat crop
- if we take derived datasets
- what's the direct effect of air temp change:
+ e.g., wildfire danger modeling
+ "why does climate change matter to **me**"
+ Sheila Saia (SS)
- other datasets: vulnerable coastal communities
+ MK
- we're in a place now where we don't have to have data silos
+ JNI: is there a place like a LANDSAT browser where we can **see the change**?
- subset of ppl think NASA fakes temp data, can't just show temp data
- a LANDSAT earth browers would be cool
- https://landsatlook.usgs.gov/viewer.html
+ Craig Harter (CH)
+ One that I know of: https://remotepixel.ca/projects/ndviseries.html#3/40/-70.5
+ https://earthengine.google.com/timelapse/
+ I use this to show clients changes in coastal structure
+ re:models, there are some in C that we use that could be brought into SciPy / Python that would help us do a better job
+ SAP <-- yes we have similar issues in solar
+ MK: we can combine these abstract measurements
+ JNI: would like to have a chapter on Elegant SciPy on with some climate models
+ Machine learning for climate effects: https://journals.ametsoc.org/jhm/article/20/5/883/344241 (Can contact James Knighton)
+
+ Joe Hamman (JH) -- there are relatively simple climate models in Python / Julia
+ Caltech climate modelling alliance: https://clima.caltech.edu/
+ David Mackay's Global Calculator: https://senseaboutscience.org/activities/sir-david-mackays-global-calculator/

#### suggestions: getting started
+ MK: learn w/a problem that matters to you

####
JH (Joe Hamman):
JNI: intro CarbonPlan plz?
https://carbonplan.org/
https://github.com/carbonplan

#### other links
* tool for estimating energy consumption from your code
- https://github.com/responsibleproblemsolving/energy-usage
- discussion on Python Bytes https://www.youtube.com/watch?v=0Le3eLTdlIA
-
* And this episode of Talk Python featuring Chris Adams
https://talkpython.fm/episodes/show/248/climate-change-and-your-python-code

* website + paper on using ML to tackle climate change https://www.climatechange.ai/

* interactive "global calculator" set up by David MacKay
- https://senseaboutscience.org/activities/sir-david-mackays-global-calculator/
- http://tool.globalcalculator.org/globcalc.html?levers=22rfoe2e13be1111c2c2c1n31hfjdcef222hp233f211111fn2211111111/dashboard/en

#### tentative action items
- set up a Discourse
+ maybe ask people in Jupyter / PyOpenSci / etc community if they can help with that?
- set up some citizen science demo toos of relatively simple models