Workflow Name: training_data_hopper

Description

training_data_hopper

Processes

preparing_cmaq_training_data, observation, processing_observation_data, training_data, rf_prediction, rf_pyCaret_gpu, processing_test_netcdf, environment_setting, processing_test_data, test_data, generate_AirNow_ncl, cmaq_ai_utils, train_cmaq_directly_no_slurm, show_cmaq_gif, prepare_update_cell_csv, generate_images_ncl, collect_cmaq_gifs, upload_results, evaluate_prediction_ncl, test_data_slurm, rf_prediction_slurm, preprocessing_test_netcdf_slurm, processing_test_data_slurm, plot_evaluation_charts, convert_netcdf_to_geotiff

Process Descriptions

preparing_cmaq_training_data: null observation: null processing_observation_data: null merge_training_data: null rf_prediction: null rf_pyCaret_gpu: null processing_test_netcdf: null environment_setting: null processing_test_data: null test_data: null generate_AirNow_ncl: null cmaq_ai_utils: null train_cmaq_directly_no_slurm: null show_cmaq_gif: null prepare_update_cell_csv: null generate_images_ncl: null collect_cmaq_gifs: null upload_results: null evaluate_prediction_ncl: null test_data_slurm: null rf_prediction_slurm: null preprocessing_test_netcdf_slurm: null processing_test_data_slurm: null plot_evaluation_charts: null convert_netcdf_to_geotiff: null

Steps to use the workflow

This section provides detailed instructions on how to use the workflow. Follow these steps to set up and execute the workflow using Geoweaver.

Step-by-Step Instructions

Step 1: Download the zip file

Step 2: Import the Workflow into Geoweaver

Open Geoweaver running on your local machine. video guidance

1. Click on "Weaver" in the top navigation bar.
2. A workspace to add a workflow opens up. Select the "Import" icon in the top navigation bar.
3. Choose the downloaded zip file4. Click on "Start" to upload the file. If the file is valid, a prompt will ask for your permission to upload. Click "OK".
4. Once the file is uploaded, Geoweaver will create a new workflow.

Step 3: Execute the Workflow

1. Click on the execute icon in the top navigation bar to start the workflow execution process.video guidance
2. A wizard will open where you need to select the video guidance and environment video guidance.
3. Click on "Execute" to initiate the workflow. Enter the required password when prompted and click "Confirm" to start executing the workflow.

Step 4: Monitor Execution and View Results

1. The workflow execution will begin.
2. Note: Green indicates the process is successful, Yellow indicates the process is running, and Red indicates the process has failed.
3. Once the execution is complete, the results will be available immediately.

By following these steps, you will be able to set up and execute the snow cover mapping workflow using Geoweaver.