bee-bake / flare

Forecasting Lake And Reservoir Ecosystems

FLARE

Forecasting Lake And Reservoir Ecosystems

Directions for using FLARE

Setting up data repositories for FCR

In your data_location directory run the following five commands at the command line:

git clone -b carina-data --depth 1 https://github.com/CareyLabVT/SCCData.git carina-data

git clone -b mia-data --depth 1 https://github.com/CareyLabVT/SCCData.git mia-data

git clone -b diana-data --depth 1 https://github.com/CareyLabVT/SCCData.git diana-data

git clone -b fcre --depth 1 https://github.com/CareyLabVT/noaa_gefs_forecasts.git fcre

git clone -b manual-data --depth 1 https://github.com/CareyLabVT/SCCData.git manual-data

You will also need to download the meterology file (Met_final_2015_2019.csv)from the Environmental Data Initiative and place it in the manual-data directory: https://portal.edirepository.org/nis/mapbrowse?packageid=edi.389.4

Initiating a simulation

1. Create a directory (forecast_location) where you will move simulation configuration files and where you want FLARE to save the forecast output.

2. Copy the configure_FLARE.R from FLARE/example_configuration_files/ to your forecast_location.

3. Copy the relevant General Lake Model nml files FLARE/example_configuration_files/ to your forecast_location

4. Copy either of the two files below to from the FLARE/example_configuration_files/ to forecast_location

• initiate_forecast_example.R provides an example for running FLARE once.

• automated_forecast_launch_example.R provides an example for automated running of forecasts.

5. Modify your initiate_forecast_example.R or automated_forecast_launch_example.R and configure_FLARE.R scripts to customize your simulation.

6. Run initiate_forecast_example.R or automated_forecast_launch_example.R