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Apr-May, heat-index 40+; 2023 and 2024 broke records
Heatwaves in Bangladesh are a fast-onset, tier-1 climate hazard concentrated in April and May, when the heat index climbs past 40 (per the curated note). This is no longer a tail risk: the note records that both 2023 and 2024 broke records, meaning two consecutive seasons set new extremes. That pattern matters now because the exposure is recurring and predictable in timing (Apr-May) even though severity is rising, which is exactly the profile a standing operational plan is built for.
The binding gap is institutional, not meteorological. There is a clear lead body, the Ministry of Disaster Management and Relief (MoDMR), but no current_state indicator is being tracked (it is null, and the data_status flags that a collector is still needed). A tier-1 hazard with a named owner but no live nowcast and no triggered response protocol means the system reacts after people are already harmed rather than ahead of the heat. The horizon here is a nowcast: the value of action comes from acting in the days and hours before and during an event, not from long-run projections.
First, before the next Apr-May window, MoDMR issues the SOD amendment (action 1) and the threshold circular (action 2): these are administrative, low-cost, and unlock everything downstream because response cannot be automatic without defined triggers and assigned roles. In parallel, commission the nowcast collector (action 3) so the current_state indicator exists by the time thresholds matter. With triggers and data in place, pre-position relief (action 4) and publish the work-and-school protocol (action 5) ahead of April. The first season then becomes a live test, after which MoDMR reviews activation logs and refines thresholds before the following year.
The binding constraints are fiscal and coordination, not technical. Cooling shelters, water, and ORS draw on a relief budget that competes with flood and cyclone demands, so heat must be funded as a named line rather than reallocated mid-crisis. Coordination across MoDMR, the met department, city corporations, and labour and education authorities is the classic failure point: without the SOD amendment giving clear authority, alerts will not convert into action on the ground. Finally, the data gap (null current_state, collector pending) means the alert system is the long pole; if it slips, the thresholds in action 2 cannot fire automatically.
Bangladesh faces a recurring, record-breaking Apr-May heat hazard with a clear owner in MoDMR but no live nowcast and no triggered response protocol. The decisive move is administrative and cheap: classify heatwave under the Standing Order on Disaster, publish heat-index thresholds that automatically open relief, and build the missing collector before the next season so response leads the heat instead of trailing it.
Where this hazard bites hardest, ranked by warm-season daytime surface temperature, population-weighted with WorldPop 2020. Source: multi-hazard exposure atlas (GloFAS, FABDEM, MODIS, ACAG).
| District | Division | warm-season daytime surface temperature |
|---|---|---|
| Dhaka | Dhaka | 33.7 C |
| Bandarban | Chittagong | 32.6 C |
| Meherpur | Khulna | 32.5 C |
| Chittagong | Chittagong | 32.4 C |
| Narayanganj | Dhaka | 32.3 C |
| Kushtia | Khulna | 32.2 C |
| Chuadanga | Khulna | 32 C |
| Gazipur | Dhaka | 31.8 C |
The figures and responsible bodies cited in this prescription are drawn from the platform's own data and the GovTwin registry listed below.
Drafted by an Opus writer grounded in the facts above. Where the prescription cites a figure, it is drawn from those facts. The diagnosis derives from the BDPolicyLab crisis taxonomy; the responsible body and budget from the GovTwin registry. Recommended actions are the think tank's policy judgment.