Currently, we just give a list of scenarios. But it might be better to assign weights (probabilities) to each scenario.
For example, the LandS model from slptestset has three scenarios with probability 0.3, 0.4, and 0.3. Should test_scenarios have three elements? Or 10, with scenario 1 repeated 3 times and so on?
Currently, we just give a list of scenarios. But it might be better to assign weights (probabilities) to each scenario.
For example, the
LandSmodel from slptestset has three scenarios with probability 0.3, 0.4, and 0.3. Shouldtest_scenarioshave three elements? Or 10, with scenario 1 repeated 3 times and so on?