Sparkling
load_bcs()
¶
Load the Sparkling Lake meteorology CSV file.
Returns:
| Type | Description |
|---|---|
Dataframe
|
Pandas dataframe of the Sparkling Lake meteorology CSV file. |
load_nml()
¶
Load the Sparkling Lake NML file.
Returns:
| Type | Description |
|---|---|
dict
|
Dictionary of the Sparkling Lake NML file. |
run_sim(inputs_dir='sparkling', glm_path=None)
¶
Run the Sparkling Lake simulation.
Sparkling Lake is an oligotrophic, northern temperate lake (89.7 ºN, 46.3 ºW) in Winconsin, USA. The lake has a surface area of 0.638 km2, and is about 20 m deep. The model is set-up to simulate the hydrological domain of Sparkling Lake for 2 years, from 1980-04-15 to 1982-04-15 (&time), with water balance and heat fluxes hypothetically calculated based on the lake configuration and input data. In this model, water quality functionality (AED2) (&wq_setup) is disabled. For more information see: https://github.com/AquaticEcoDynamics/glm-aed/tree/main/glm-examples/Sparkling.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
inputs_dir |
str
|
Directory path where the model inputs will be saved. Default is
|
'sparkling'
|
glm_path |
Union[str, None]
|
Optional. Path to an external GLM binary. Default is |
None
|
Examples: