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Bay of Bengal pre-monsoon and post-monsoon seasons
Bangladesh is exposed to tropical cyclones in two distinct windows each year: the Bay of Bengal pre-monsoon season and the post-monsoon season (per the curated note). This is not a single annual event to plan around but a recurring twice-yearly hazard, which means readiness cannot be a one-time push. It has to be a cycle that resets and is re-verified before each window opens.
The lead responsible body is the Ministry of Disaster Management and Relief (MoDMR), per the GovTwin entity registry. The decision problem MoDMR owns is therefore not whether a cyclone will form, but whether the warning, evacuation, shelter, and recovery chain is fully primed at the start of each season and stays primed through it. Because this is a nowcast, event-driven hazard, the binding question is operational latency: how many hours and how many handoffs sit between a Bay of Bengal track forecast and a fisherman, a coastal farmer, or a char household actually moving to safety.
The current_state indicator is not populated in the context, which is itself a finding: MoDMR cannot manage what it does not measure in near real time. A standing, observable readiness signal is the first thing to build.
Start with the readiness dashboard and the pre-season certification circular, because every other action needs a baseline and an accountability hook. Certification surfaces the real gaps in shelters, volunteers, and warning reach; the dashboard makes those gaps visible to leadership. With gaps named, sequence the shelter and route audit to the next budget cycle and stand up the warning SOP and the pre-authorised payout protocol ahead of the following season window. By month twelve MoDMR should have run at least one full season under the new certification-and-dashboard loop and have an after-action log to tighten the next cycle.
The binding constraints are fiscal and institutional, not technical. Shelter repair and pre-authorised payouts compete with other claims on a tight relief budget, so the trigger protocol must be sized to what can actually be released, not to aspiration. Certification depends on coastal district committees and volunteers who are not full-time staff, so the circular must come with clear accountability or it becomes a paper exercise. Finally, multi-channel warning only works if the channels are maintained between seasons; the recurring twice-yearly nature of the hazard is the main reason readiness decays, and it is also the main argument for institutionalising the cycle rather than mobilising ad hoc each time.
Bangladesh faces a Bay of Bengal cyclone risk in both pre-monsoon and post-monsoon seasons, so MoDMR's task is to keep the warning, shelter, and payout chain certified and visible before each window rather than scrambling at landfall. The first move is a standing readiness indicator plus a binding pre-season certification circular, because everything else depends on knowing, in advance and in real time, where the gaps are.
Where this hazard bites hardest, ranked by population below 5 m elevation, population-weighted with WorldPop 2020. Source: multi-hazard exposure atlas (GloFAS, FABDEM, MODIS, ACAG).
| District | Division | population below 5 m elevation |
|---|---|---|
| Jhalokati | Barisal | 99.5% |
| Patuakhali | Barisal | 99.1% |
| Barguna | Barisal | 99% |
| Pirojpur | Barisal | 98.9% |
| Barisal | Barisal | 96.2% |
| Bagerhat | Khulna | 95.7% |
| Bhola | Barisal | 95.5% |
| Chandpur | Chittagong | 93.5% |
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.