Examine how India's cyclone early-warning capability evolved from Phailin (2013) to the present. What gaps remain in last-mile dissemination?

Very Severe Cyclonic Storms Phailin (2013) and Hudhud (2014) both hit land on 12 October. India forecast both successfully and won international recognition for it. On the same date in 2026, IMD launched a public WebGIS-based Decision Support System (DSS) [1]. Over these years India has moved from forecasting the storm to supporting decisions about it. Delivering the warning to the last person at risk still lags.

Evolution of capability

• Forecast precision: For Hudhud, IMD predicted the track and the landfall point 4–5 days ahead. It ran the HWRF model at 3 km resolution and sent hourly updates to disaster managers on landfall day [2].
• Learning from Phailin: The cost of NCRMP Phase I was revised upward to ₹2,331.71 crore to fund 246 more cyclone shelters, roads and bridges [3].
• Risk mapping: NDMA built Web-DCRA under NCRMP. IMD's GIS-based DSS became the "front end" of its warning system, with modules for impact-based warnings [4].
• District focus: District-wise warnings are now updated four times a day and are valid for up to 7 days [5].
• 2026 DSS: A single public platform shows the cyclone track, the cone of uncertainty, storm surge and district-wise rainfall [1].
• Regional role: RSMC New Delhi (since 1988) sends advisories to Panel countries 8 times a day [6].

Accurate track (2013) → Hourly updates + 3 km models (2014)
 → GIS DSS with impact modules → Public WebGIS DSS (2026)

Fig: From forecast to decision support

Gaps in last-mile dissemination

• Digital divide: A WebGIS platform needs internet access and the skill to read a map. Deep-sea fishers still depend on All India Radio, INCOIS SMS and NavIC [5].
• Admitted deficits: In a reply to Parliament, the government said mobile connectivity, local sirens and satellite communication still need strengthening [5].
• Hazard ≠ impact: The DSS layers show the storm, not exposure or vulnerability. Official sources do not show IMD's DSS and NDMA's Web-DCRA working as one tool [1][4].
• Coarse granularity: Warnings are issued per district, but evacuation is decided village by village. That step depends on how capable each DDMA is.
• Split responsibility: Under the DM Act, 2005, IMD forecasts while NDMA, SDMAs and DDMAs disseminate. Nobody measures whether the DSS changes decisions on the ground.

India's warning capability has grown from accurate forecasts to integrated decision support. Linking the DSS with Web-DCRA, sending local-language alerts through NavIC, SMS and radio, and checking how DDMAs use the DSS at the twice-yearly Pre-Cyclone Exercise would help it reach the last person at risk. That would advance the Sendai Framework's aim of early warnings for all.