Some models have been developed to address uncertainties from the outset, whereas others are modified later to allow for probabilistic analysis. Finally, adaptive analyses (also known as sequential decision-making under uncertainty) denote probabilistic applications of optimizing models that allow for future learning about key scientific or policy uncertainties. Note that the term “adaptive” in this context is not related to “adaptation to climate change”.