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License: MIT License
Sea Level Rise for Python
License: MIT License
The true anchor for SLR Projections should be a Station ID. Everything waterfalls from that. Then, HistoricalSLR can tag along. This will require a significant factoring.
Simple command:
pd.to_datetime(
{
'year' : scenario_.data.x,
'month' : 6,
'day' : 15
}
)
Update documentation to make it clear that currently the program is built upon COCAT projections, though custom instances can be created, too.
Right now it's all in mm
Should be able to use the same function as that used for SLRPRojections.Scenario.Data
Add a connector to or provide a way to get USACE SLR projections https://cwbi-app.sec.usace.army.mil/rccslc/slcc_calc.html
Create a single unit set against which a unit is compared, in utils. It should be a global variable.
There should be a way to display a slice of projections for a given year and display as a CDF, for example 2070, San Francisco, 50% value, 99,99.5%, 99.99%, etc.
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