Reading h5 DataFrame for pywr-scenarios

Go to the catchment node Days Weir, click Edit Flow

A new window will pop up, select PYWR_PARAMETER and click Save

Paste the following configuration and Save

{
	"key": "Days Weir",
	"scenario": "Climate Change",
	"type": "DataFrameParameter",
	"url": "Thames_inflows_pywrScenarios.h5",
	"index_col": "timestep",
	"parse_dates": true
}

It should look like the following image

Repeat the procedure for catchment Lower_Thames using the following configuration

{
	"key": "Lower Thames",
	"scenario": "Climate Change",
	"type": "DataFrameParameter",
	"url": "Thames_inflows_pywrScenarios.h5",
	"index_col": "timestep",
	"parse_dates": true
}

Results

As the total number of simulations is four, this is because we are using a single pywr-scenarios setup for Climate Change, which contains 4 scenarios. Each of these scenarios will run separately, and the result of all 4 simulations will be displayed each output result, as shown below

simulated_flow (Lower_Thames)

simulated_volume (New Reservoir)