In RAWS, what could be a consequence of relying on outdated data?

Relying on outdated data in RAWS (Remote Automated Weather Stations) can lead to significant safety risks, particularly because real-time and accurate data is critical for making informed decisions in fire management. When decisions are based on old or incorrect information, the situation can change rapidly in the field, leading to scenarios where responders may underestimate the fire's behavior, fail to recognize changing weather patterns, or misjudge resource allocations.

For instance, if the data indicates a stable weather pattern that has since changed, command decisions might be made that put personnel in harm's way due to unexpected fire behavior. This potential for error underscores the necessity of using the most current and accurate data to ensure that strategies are effectively adapted to real-time conditions, ultimately safeguarding both lives and property.