Communicating uncertainty information across conceptual boundaries

Information about data collection and modeling risks are frequently locked with information providers rather than shared with downstream information consumers. Information consumers often ingest products automatically. Without protocols to inject uncertainty, the ensemble modeling products common in the modeling discipline cannot accurately account for the input uncertainty inherent to those products. Future work to establish use cases and incorporate practitioner-driven rules and protocols for transmitting tiered uncertainty information between information product producers and consumers will advance the needs of environmental, social, and economic actors in the ensemble modeling production chain. This in turn will allow for improved error transmission throughout the decision making enterprise.