Special Report| ISRO's Warning For Odisha, AP, WB: 2026 Oct-Nov Cyclones to Pack Double the Punch; Another 1999 Super Cyclone in Making?

Key Points
- ISRO's seasonal model predicts a low-frequency count of only 3 post-monsoon tropical cyclones over the North Indian Ocean for late 2026.
- The Power Dissipation Index (PDI) is projected to reach 13.06 million knots³, representing an 82% surge above the historical mean of 7.15 million knots³.
- Coastal regions like Odisha, north Andhra Pradesh, and West Bengal face high risks of extreme wind, severe storm surges, and heavy 200–300 mm-plus rainfall.
Bhubaneswar: Isro has dropped a bombshell recently. The country's apex space body predicted a big churning at ocean level during the period of January to August this year. And noting down the intensive churnings, Isro has issued a big warning to all coastal states and disaster mitigating agencies.
The bold prediction and big warning by ISRO has been that North Indian Ocean (Arabian Sea and Bay of Bengal) will be churning 3 cylones only, but their intensities will be nearly double. This 'doubling intensity' cyclones hitting the North Indian Ocean has raised the heckles across all stakeholders – from Govts, Disaster Mitigating Agencies to Weather watchers.
If the latest mathematical modelling from the Indian Space Research Organisation (ISRO) holds through the coming post-monsoon season, the concern for the east coast may not be the number of cyclones but the intensity packed into a relatively small number of systems.
The BIG Daddy Warning
📱 Get Argus News App
✨ISRO’s seasonal prediction for the October-December 2026 period points to three tropical cyclones over the North Indian Ocean, broadly around the historical seasonal range. But the striking signal is the projected Power Dissipation Index (PDI) of about 13.06 million knots³, against a historical mean of 7.15 million knots³ – an increase of roughly 82%.
For Odisha, north Andhra Pradesh and West Bengal, that distinction matters.
The ISRO forecast is for the entire North Indian Ocean –the Bay of Bengal and Arabian Sea –and does not specify that two cyclones will necessarily hit these three states. But the historical October-November climatology of the northern Bay of Bengal makes the Odisha–north Andhra–West Bengal coastline one of the regions that needs particular attention if the forecast signal materialises.
North Indian Ocean Tropical Cyclone Frequency & 2026 Forecast
| Year | Total Cyclones Formed (NIO) | Bay of Bengal (BoB) | Arabian Sea (AS) | Key Metrics / Notes |
|---|---|---|---|---|
| 1985 | 6 | 4 | 2 | — |
| 1986 | 3 | 2 | 1 | — |
| 1987 | 5 | 4 | 1 | — |
| 1988 | 4 | 3 | 1 | — |
| 1989 | 3 | 2 | 1 | — |
| 1990 | 4 | 3 | 1 | — |
| 1991 | 4 | 3 | 1 | — |
| 1992 | 7 | 5 | 2 | High activity season |
| 1993 | 4 | 2 | 2 | — |
| 1994 | 4 | 3 | 1 | — |
| 1995 | 4 | 3 | 1 | — |
| 1996 | 6 | 5 | 1 | — |
| 1997 | 4 | 3 | 1 | — |
| 1998 | 6 | 3 | 3 | Balanced basin distribution |
| 1999 | 4 | 3 | 1 | — |
| 2000 | 5 | 4 | 1 | — |
| 2001 | 4 | 2 | 2 | — |
| 2002 | 4 | 3 | 1 | — |
| 2003 | 3 | 2 | 1 | — |
| 2004 | 4 | 3 | 1 | — |
| 2005 | 4 | 3 | 1 | — |
| 2006 | 3 | 3 | 0 | Zero AS development |
| 2007 | 6 | 4 | 2 | — |
| 2008 | 4 | 3 | 1 | — |
| 2009 | 4 | 3 | 1 | — |
| 2010 | 5 | 4 | 1 | — |
| 2011 | 2 | 1 | 1 | Basin minimum |
| 2012 | 2 | 2 | 0 | Basin minimum |
| 2013 | 5 | 5 | 0 | BoB dominance |
| 2014 | 3 | 2 | 1 | — |
| 2015 | 4 | 4 | 0 | — |
| 2016 | 4 | 4 | 0 | Normal baseline mirror |
| 2017 | 3 | 2 | 1 | — |
| 2018 | 7 | 4 | 3 | High activity season |
| 2019 | 8 | 3 | 5 | Record Arabian Sea Year |
| 2020 | 5 | 3 | 2 | — |
| 2021 | 5 | 3 | 2 | — |
| 2022 | 3 | 3 | 0 | — |
| 2023 | 6 | 4 | 2 | — |
| 2024 | 5 | 3 | 2 | — |
| 2025 | 4 | 2 | 2 | — |
| 2026 (ISRO Forecast) | 3 (Post-Monsoon) | — | — | PDI: ~13.06 × 10⁶ knots³ (~83% above average destructiveness) |
Basin Summary & Dynamics
- Historical Baseline: The NIO basin averages 4 to 5 tropical cyclones annually, maintaining an approximate 4:1 Bay of Bengal to Arabian Sea dominance ratio.
- The 2026 Anomaly: While a 3-storm post-monsoon count aligns with normal baseline frequencies (similar to 2013 or 2016), the projected Power Dissipation Index (PDI) of ~13.06 $\times$ 10⁶ knots³ indicates that cumulative storm energy will run nearly double historical destructiveness norms.
- The numbers do not support a claim that 2026 will necessarily produce an unusually large number of cyclones. In fact, ISRO's projected three systems are within the broad historical range.
What changes is the destructiveness parameter.
|
Indicator |
Historical signal
ISRO 2026 projection
What it means
Post-monsoon cyclone frequency
Around 2–3 in the cited climatological baseline
3
Frequency is not exceptional
PDI
7.15 × 10⁶ knots³
13.06 × 10⁶ knots³
About 82% above mean
Key period
October–December
October–December 2026
Peak risk overlaps with the east-coast cyclone season
Primary basin of concern for this story
North Indian Ocean
Bay of Bengal focus
Odisha, north Andhra and West Bengal remain exposed
Main risk indicated by PDI
Frequency + intensity + duration
Higher destructive potential
A few storms could account for disproportionately high impact
What ISRO Warning Means for Odisha?
Odisha's cyclone history provides a useful benchmark for understanding why intensity matters more than storm count.
The 1999 Odisha Super Cyclone and Cyclone Phailin in 2013 demonstrated how a relatively small number of exceptionally intense systems can dominate the disaster record.
|
Cyclone |
Year |
Month |
Main affected/landfall zone |
Approx peak/landfall intensity* |
Rainfall/impact significance |
|
Odisha Super Cyclone |
1999 |
October |
Odisha coast, Ersama region |
~260 km/h |
Catastrophic rainfall (300mm), storm surge and coastal destruction |
|
Phailin |
2013 |
October |
Gopalpur, Odisha |
~215 km/h |
Extremely heavy rainfall and widespread flooding |
|
Hudhud |
2014 |
October |
Visakhapatnam |
~185 km/h |
Torrential rainfall and major urban/agricultural impacts |
|
Titli |
2018 |
October |
South Odisha–north Andhra sector |
~150 km/h |
Very heavy rain and landslide risk |
|
Bulbul |
2019 |
November |
West Bengal–Sundarbans |
~110–120 km/h |
Heavy rain and coastal flooding |
|
Dana |
2024 |
October |
Odisha coast |
~110 km/h |
Heavy to extremely heavy rainfall over Odisha and adjoining Bengal |
|
2026 projection |
2026 |
Oct–Dec |
Not specified by ISRO |
Potentially ~180–240+ km/h (Based on massive PDI deviation) |
Extremely Severe & Extended Duration (Risk of prolonged torrential rain and severe storm surges). |
*Intensity figures are approximate historical values and should not be treated as directly comparable across different agencies' measurement conventions.
The post-2019 pattern: the intensity has been quieter
The historical data analysed also highlights a noticeable reduction in the intensity of several October-November systems affecting the three-state corridor after the powerful 2018–19 period.
|
Period |
Notable systems affecting the broader Odisha–north Andhra–West Bengal corridor |
Broad intensity pattern |
|
1999–2014 |
Odisha Super Cyclone, Phailin, Hudhud |
Several exceptionally powerful systems |
|
2015–2018 |
Titli and other systems |
Mixed, including a major October cyclone |
|
2019 |
Bulbul |
Lower intensity than the major Odisha benchmark cyclones |
|
2020–2023 |
Multiple Bay systems, including weaker late-season systems |
Predominantly lower-intensity landfall/impact events in the three-state corridor |
|
2024 |
Dana |
Moderate-intensity cyclone with significant rainfall impact |
|
2025 |
Montha |
Moderate-intensity system affecting the north Andhra–south Odisha sector |
|
2026 |
ISRO seasonal signal |
Potential reversal in destructive potential |
This is where the 2026 forecast becomes interesting.
The signal is not that the region has suddenly entered a permanently super-cyclonic regime. Rather, after several years in which the most damaging October-November systems affecting this corridor were generally less intense than the 1999/2013 benchmarks, ISRO's model is detecting an environment in which destructive potential could rise sharply.
But why can El Niño coexist with a high-intensity cyclone signal?
At first glance, this appears contradictory.
A strong El Niño is generally associated with atmospheric changes that can make tropical cyclone development over the North Indian Ocean less favourable. Yet the WMO 2026 assessment points towards an unusual combination of strong El Niño conditions in the Pacific and a positive Indian Ocean Dipole signal over the Indian Ocean.
The important point is that the Pacific and Indian Ocean do not operate as isolated systems.
|
Climate driver |
Expected 2026 role |
Possible cyclone implication |
|
Strong El Niño |
Changes large-scale Walker circulation and atmospheric circulation |
Can suppress overall cyclone formation through less favourable atmospheric conditions |
|
Positive IOD |
Alters Indian Ocean SST and circulation |
Can create a more favourable regional thermal environment |
|
High ocean heat content |
Provides greater energy to developing systems |
Supports intensification if atmospheric conditions become favourable |
|
MJO/Equatorial waves |
Provide subseasonal pulses of convection and vorticity |
Can create short windows favourable for cyclogenesis |
|
Vertical wind shear |
Determines whether a developing storm can organise vertically |
Low shear favours intensification; high shear suppresses it |
|
Steering currents |
Determine track and landfall region |
Controls whether a Bay system approaches Odisha, north Andhra, Bengal or moves elsewhere |
That produces the possibility of a low-frequency/high-impact seasonal structure: not necessarily many storms, but a smaller number of systems with greater potential to intensify.
ISRO's mathematical approach is the important part
The forecast is based on the idea that the atmosphere and ocean carry a form of seasonal memory.
The ISRO assessmnet has used 40 years of ERA5 global reanalysis data, examining environmental predictors from January through August before forecasting the post-monsoon season.
|
Component |
What is being assessed |
Why it matters |
|
Sea-surface temperature |
Warmth of the tropical ocean |
Warm water supplies latent heat to cyclones |
|
Ocean heat content |
Heat stored below the surface |
Reduces the chance of rapid weakening from upwelling |
|
Atmospheric circulation |
Large-scale circulation anomalies |
Determines whether disturbances can organise |
|
Vertical wind shear |
Difference between lower and upper-level winds |
Strong shear can disrupt cyclone structure |
|
Convective activity |
Organisation of tropical thunderstorms |
Provides the initial energy and circulation for cyclogenesis |
|
Historical reanalysis |
40-year ERA5 record |
Establishes statistical relationships between pre-season conditions and later cyclone behaviour |
|
Forecast verification cited in the inputs |
r ≈ 0.92 for frequency; r ≈ 0.93 for PDI |
Indicates a strong historical statistical relationship in the model |
Those correlation values are important, but they do not mean the forecast has 92–93% certainty of a particular cyclone hitting Odisha. A seasonal statistical correlation and a specific landfall forecast are two different things.
Where the 300-mm rainfall question comes in
For Odisha, north Andhra and West Bengal, the rainfall risk may actually be more geographically extensive than the wind risk.
A cyclone does not need to make a direct landfall over a district to produce damaging rainfall. A large circulation can draw enormous quantities of moisture from the Bay of Bengal and push rain bands hundreds of kilometres inland.
Therefore, if a 2026 system becomes unusually intense and remains organised for a prolonged period, rainfall totals in the 200–300 mm-plus range over favourable locations are physically plausible, particularly where the cyclone interacts with moisture convergence, coastal convergence and terrain.
But this is a scenario, not an ISRO district-level rainfall forecast.
|
Possible hazard |
Odisha |
North Andhra Pradesh |
West Bengal |
|
Extreme coastal wind |
Very high exposure |
Very high exposure |
High exposure in coastal districts |
|
Storm surge |
Major concern along vulnerable coast |
Major concern |
Major concern, particularly low-lying coastal areas |
|
200–300 mm+ rainfall |
Possible in strong/slow-moving systems |
Possible, especially near landfall and terrain |
Possible, particularly in coastal/southern districts |
|
Inland flooding |
Rivers, drainage and urban areas |
Coastal plains and river basins |
Low-lying deltaic areas and urban drainage |
|
Landslides |
Mainly hilly/southern districts |
Stronger concern in hilly terrain |
More limited geographically |
|
Agricultural damage |
Very high |
Very high |
Very high |
|
Risk window |
October–November |
October–November |
October–November |
Could there be two major cyclones between October and November?
It is possible, but the ISRO forecast supplied here does not specifically say that two cyclones will hit Odisha, West Bengal or north Andhra Pradesh.
That distinction is essential.
ISRO's three-cyclone prediction applies to the North Indian Ocean basin and the October-December season. The forecast does not provide a deterministic sequence saying, for example, that one cyclone will hit Odisha in October and another West Bengal in November.
However, if the predicted three-system season develops with an unusually high PDI, the historical climatology means that multiple systems affecting the northern Bay during October-November cannot be dismissed.
The more defensible interpretation is therefore:
2026 may produce fewer cyclones than the most active years, but the cyclones that do develop could have a substantially greater destructive footprint.
The northern Bay is the story's geographic focus
Although ISRO's forecast covers the whole North Indian Ocean, the Odisha–north Andhra–West Bengal corridor deserves separate attention because of its historical exposure.
The geography also changes through the season.
|
Season phase |
Broad cyclone tendency |
East-coast implication |
|
Early October |
Bay of Bengal becomes increasingly active |
Odisha and north Andhra can become vulnerable |
|
Mid/late October |
Northern and central Bay remain important |
Odisha and Bengal coast require close monitoring |
|
November |
Cyclone activity continues, with tracks influenced by changing steering flow |
West Bengal and Odisha remain exposed, while southward tracks can also emerge |
|
December |
Cyclone tracks increasingly favour southern parts of the Bay in many setups |
Risk shifts progressively towards Andhra/Tamil Nadu/Sri Lanka sectors |
This is why a basin-wide ISRO forecast should not be translated into a state-specific landfall prediction months in advance.
The 2026 message for Odisha, north Andhra and West Bengal
The most responsible reading of ISRO's forecast is neither “two super cyclones are coming” nor “El Niño will suppress everything.”
It is more nuanced.
The mathematical forecast points towards three post-monsoon cyclones over the North Indian Ocean, broadly normal in number but potentially much higher in aggregate destructive potential. The cited PDI of 13.06 million knots³ against a 7.15 million historical mean is the central signal.
For the east coast, that raises the possibility that one or more systems could become much stronger or longer-lived than the recent October-November pattern has accustomed coastal communities to.
And if such a system tracks towards Odisha, north Andhra or West Bengal, the hazard would not be limited to wind. Storm surge, coastal inundation, prolonged rainfall, 200–300 mm-plus rainfall pockets, river flooding and agricultural losses could become the larger story.
The comparison with 1999 and 2013 therefore has to be used carefully. Those cyclones are historical benchmarks for what extreme intensity can do; they are not forecasts for 2026.
The real question for the coming season is whether the high PDI signal detected by ISRO becomes visible in the atmosphere when the first October disturbances begin to form.
Bottomline: 2026 post Monsoon story, scripted by ISRO, zooms on potentially an “extremely severe to super cyclone” show. For Odisha, north Andhra Pradesh and West Bengal, that difference could become critical if the seasonal signal survives into the October-November cyclone window.
Related Topics
Explore more stories