How to implement climate intelligence in a port operation — the first 90 days

Implementing climate intelligence at a port terminal is not an IT project. It is an operations project. The goal is not to install software — it is to reduce unplanned downtime, anticipate window closures, and give the planner data they did not have: the probability of each hazard at the exact coordinates of each berth.

Here is a 90-day roadmap based on real implementations.

Day 1 to 30: mapping and baseline

1. Survey the terminal's critical assets — berths, storage areas, maritime access. For each, define the safety thresholds (max wind, wave height, minimum visibility, current).

2. Cross-reference these thresholds against the historical reanalysis of the last 10 to 20 years at the exact coordinates of each asset. This generates the baseline: what is the historical frequency of events that would close each window?

3. Identify the most critical operational windows — where an unplanned shutdown costs the most (high-value cargo, vessel with high demurrage rate, night window).

Day 31 to 60: alerts and integration

1. Configure early alerts for each hazard, calibrated to the specific thresholds of each berth. The alert is not generic — it is "78% probability of wind above 25 knots at berth 3 between 2 PM and 6 PM tomorrow".

2. Integrate the alert with the terminal's planning system (TOS or equivalent). Ideally, the information arrives in the planner's decision flow, not in a separate email.

3. Train the planning team to interpret probability — not as certainty, but as a decision data point. 78% means: adjust the window before, not after.

Day 61 to 90: measurement and adjustment

1. Compare the number of unplanned shutdowns before and after implementation.

2. Measure alert accuracy: how many times did the alert get it right vs. how many times did the event not occur?

3. Adjust thresholds based on operational feedback. Each terminal has its own dynamics — fine-tuning is what turns data into trust.

Expected result

In real implementations, the typical result in the first 90 days is: reduced unplanned downtime, increased operational window hours utilized, and a planner who trusts the data because it is auditable — not guesswork.