On the night of October 25, 2003, a lost hunter in the backcountry of San Diego County lit a signal flare. Around him was everything wildfire operators fear: kindling-dry chaparral, steep terrain, and Santa Ana winds. Within ten hours, a 100-yard ignition had grown to 100,000 acres.
The Cedar Fire burned 273,246 acres, destroyed 2,820 structures, and claimed 15 lives. It forced a hard question: How could the state better prevent and combat catastrophic wildfire? Twenty-three years later, that question remains—and so does the gap1.
In 2003, the problem was technology. Today, much of that technological capacity exists. The wildfire community has built remarkable systems across detection, monitoring, mapping, aviation, and response. But while those capabilities have scaled, the outcomes have not.
Nine of California’s 10 most destructive fires2 and all 10 of the state’s largest have occurred since 20033. The challenge today is that the tools, systems, and agencies still do not reliably produce shared understanding fast enough under pressure. That gap between what individual systems can do and what they produce together at the moment of decision is the Coordination Gap: one of the defining operational constraints of modern wildfire response.
The Capability Era Delivered — and It Was Not Enough
The years after Cedar produced real progress: expanded mutual aid, modernized dispatch, improved aircraft, and advances in sensors, mapping, and situational awareness platforms4. Those investments gave operators, utilities, and emergency managers visibility they did not have two decades ago.
That is the paradox. The wildfire community did many of the right things and still, the largest and most destructive fires came afterward. The investments solved real problems, but as capabilities improved, fires became larger, faster, and more complex. Many of those advancements were designed for yesterday’s fire environment. Today, conditions can change faster than information can be gathered, reconciled, and acted on.
Naming the Coordination Gap
I’ve stood at the edge of a fire that was moving faster than our maps could update. The information existed somewhere, in a sensor feed, a radio call, a camera frame. The problem was that none of it was coordinated into something I could trust and act on in the time I had. That’s not a data problem. That’s a coordination problem. Under pressure, the Incident Commander is actually asking:
- Where is the fire, really? How fast is it moving?
- Where are the spot fires?
- What values are at risk in the next 10, 20, 30, and 60 minutes?
- Which communities are threatened next?
- Which evacuation corridors are still viable?
- Which crews, substations, hospitals, schools, transmission lines, water assets, or other critical infrastructure are in the projected path?
- What decisions need to be made now, before conditions change again?
These questions are often answered through stitched-together workflows—phone calls, radio traffic, screenshots, static maps, separate dashboards—under extreme time pressure. This is the reality of a decision environment that has not kept pace with the incident environment.
When a fire is moving, the cost of fragmentation is time. And in wildfire response, time is operational ground.
The Next Decade
Wildfires are getting faster, more complex, and less forgiving of delay5. The systems we have built are necessary. They are not sufficient. The next advance is not another tool in the stack, it is the shared operating picture that turns fragmented data into coordinated action before conditions change again.
That is what decision-ready intelligence means: timely, trusted, operationally relevant information that moves decision-makers from awareness to action. Data, detection, and prediction all have a role. Coordination is what turns them into one.
This article is the first in a four-part series on closing the Coordination Gap.
Up next: what the Coordination Gap actually costs when minutes matter.