Session 2: Assignment#

Apply session 2 material to create a remote model-based Tornado and local dataset-based Tornado with the given information and get hazard values from created hazards

Agenda

  • 1. Create a model-based Tornado (Remote)

  • 2. Create a dataset-based Tornado (Local)

Please follow the instruction at each cell.

1. Create a model-based Tornado (Remote)#

Using the data from section 2.1.2, slightly alter the values of the Centerville tornado and obtain a new set of parameters that differ from the previously seen examples.

Tornado model definition:

  • Tornado Model: MeanWidthTornado

  • EF Rating: EF3

  • Start point of path:

    • Latitude:

    • Longitude:

  • End point of path:

    • Latitude:

    • Longitude:

  • Wind speed method: 1

  • number of simulation: 1

  • random seed: 2023

After you have obtained them, proceed as shown during the session.

# Import modules
from pyincore import HazardService, IncoreClient
import json
# Connect to IN-CORE serivce by creating IncoreClient
client = IncoreClient()

# Create the HazardService object
# TODO: create a JSON (dictionary) definition of tornado model as given above
my_tornado_model = ""
# TODO: create a tornado using the hazard service
# TODO: acquire hazard id you created and visualize
# TODO: Getting and printing hazard value from your tornado

2. Create a dataset-based Tornado (Local)#

Now, using the dataset-based tornado definition seen in section 3.1.1, define a new local tornado hazard and get values for the same location with and without a seed parameter.

Proceed as in the prior exercise.

# Import modules
from pyincore import Tornado
import os
# TODO: indicate the path of the tornado dataset files
dir = "data/hazard/tornado/"
# TODO: create the tornado object with definition

# TODO: attach the shapefile representing the tornado
# TODO: Getting and printing hazard value from your tornado for specific seed value
# TODO: Getting and printing hazard values from your tornado for a random seed value
# TODO: Visualize the tornado using GeoDataFrame.explore(), see section 3.2.1 for getting the geodataframe