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Last update: 12:30, 11 Aug 2026
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Gandhidham weather swings between extremes: just 15mm of rain falls across the eight months outside monsoon, while July alone can bring up to 175mm in a single month. That gap is only part of the story — rainfall here has a coefficient of variation near 60%, among the most erratic totals documented for the region, which is why a hyperlocal radar reading of what's falling right now tells you more than any seasonal average.
That ~60% coefficient of variation reflects Gandhidham's Köppen BSh semi-arid steppe classification, where the same monsoon season can deliver a washout one year and a near-drought the next, with little consistency in between. Nearby Kandla averages around 153mm of seasonal monsoon rainfall carried in from the southwest, but that regional average masks how unevenly individual storms distribute themselves, a gap standard forecasts built on historical averages cannot account for.
RainViewer's live radar for Gandhidham draws on India Meteorological Department (IMD) data, refreshed every 5 minutes, so a cell moving in off the Gulf of Kutch shows up before the rain reaches Kandla Port. A forecast can tell you July is typically the wettest month; only the live map can tell you whether this particular storm is another washout year or one that passes Gandhidham by.
Rain peaks in July, when monthly totals can reach up to 175mm, arriving in bursts that are difficult to predict given the region's ~60% rainfall variability. Kandla Port, which handled 132.3 million tonnes of cargo in FY2023-24, keeps freight moving through the wettest months, and sudden heavy cells over the port complex are the most operationally disruptive weather of the year.
Temperatures climb toward sweltering as rising humidity signals the approaching monsoon, making these the least predictable weeks for outdoor and port-adjacent planning in Gandhidham. Cyclone season, tied to the pre-monsoon Arabian Sea, also builds during this window, adding storm risk on top of the heat well before the rains officially begin in June.
Afternoons stay warm while mornings turn cool, and this stretch carries the least rain risk of the year for Gandhidham. Cyclone season also extends into the post-monsoon months here, tied to the Arabian Sea, so while daily rain is unlikely, the port still watches for late-season storm activity such as the closures seen ahead of Cyclone Biparjoy.
Kandla Port handled 132.3 million tonnes of cargo in FY2023-24, and loading and unloading schedules can't simply pause every time clouds build over the Gulf of Kutch. A dispatcher checking the radar 20-30 minutes ahead can hold a shipment or keep working through a cell that's about to pass, instead of guessing from a forecast that only estimates rain for the whole day.
When Cyclone Biparjoy approached in June 2023, Kandla Port shut down completely and stranded hundreds of trucks around Gandhidham and Kutch. Watching the radar as a system builds over the Arabian Sea gives logistics coordinators lead time to reroute or hold freight before an official port closure is announced.
The Gandhidham-Adipur rail section is being quadrupled by Western Railway's Ahmedabad Division to handle rising freight volumes moving to and from Kandla and Mundra ports. Freight planners tracking the radar along this corridor can time loading windows around active rain cells instead of relying on a daily forecast that won't show when a specific storm clears.
Adipur Junction connects by rail to Mundra Port and sits roughly 49km from Bhuj, a route regularly used by travelers and port staff moving between the two hubs. Checking the radar before that trip shows whether a monsoon cell is sitting over the route or has already cleared, which matters more than a generic day-ahead forecast for a multi-hour journey.
Someone deciding whether to head out for errands in Gandhidham town can't rely on a seasonal average, since the region's rainfall varies by close to 60% from one year to the next. A quick look at the live map settles it faster than checking whether this July looks like a wet year or a dry one.
RainViewer draws radar data for India from the India Meteorological Department (IMD) via mausam.imd.gov.in, updated every 5 minutes. Coverage is strongest across the Gangetic Plain, western coast, and major cities; sparser in the Himalayan foothills and remote northeast. From Gandhidham, the live map also covers nearby Adipur and Bhuj, roughly 49km away by the rail route through Adipur Junction.
A live radar is the only accurate answer, since Gandhidham's rainfall is among the most erratic in the region — a coefficient of variation near 60% means seasonal averages tell you almost nothing about today. RainViewer's hyperlocal radar draws from the India Meteorological Department (IMD), refreshed every 5 minutes, to show exactly what's happening over Gandhidham right now.
Monsoon rain over Gandhidham peaks in July, and cells can build quickly enough to disrupt a planned site visit to Kandla Port with little warning. Checking the live radar before heading to the port shows whether a cell is approaching the Gulf of Kutch or has already moved through, which a same-day forecast won't capture.
Yes, heavy monsoon cells over the corridor can slow the Gandhidham-Adipur section that Western Railway's Ahmedabad Division is currently quadrupling to handle Kandla and Mundra port freight. Checking the radar before a rail-linked trip, such as the connection to Mundra Port through Adipur Junction, shows whether the route ahead is clear before you leave.
Gandhidham doesn't have a single well-known flood zone, but its extreme rainfall variability, a coefficient of variation near 60%, means the same monsoon season can swing between flash flooding and near-drought conditions. Kandla Port has shut down entirely under extreme weather before, as it did ahead of Cyclone Biparjoy in June 2023, which halted hundreds of trucks around the city. Watching the live radar during sustained heavy rain is more useful here than relying on typical seasonal flood patterns, since there isn't a consistent one.
The cool season, October through March, carries the least rain risk in Gandhidham, with warm afternoons and cool mornings replacing the monsoon's heavy July cells. It's also outside the pre- and post-monsoon cyclone window tied to the Arabian Sea, which is the more disruptive weather risk near Kandla Port.
Gandhidham's monsoon rainfall has a documented coefficient of variation of around 60%, an extreme level of year-to-year unpredictability for the region, meaning a typical July could bring anywhere near the seasonal peak of 175mm or fall far short of it. That variability stems from Gandhidham's Köppen BSh semi-arid steppe classification, where nearby Kandla's average of 153mm from the southwest monsoon masks how unevenly individual storms actually distribute rainfall, which is exactly why a hyperlocal radar reading beats a seasonal forecast here.
Yes, RainViewer's hyperlocal radar for Gandhidham draws from the India Meteorological Department (IMD), refreshed every 5 minutes so the map reflects rain actually falling, not a forecast estimate. That matters in a region where rainfall variability runs close to 60% year to year.
Yes, RainViewer's rain alert can be set for a specific point, such as Kandla Port or the Gandhidham-Adipur rail corridor, and it notifies you as a cell approaches. That gives port staff or freight planners lead time to secure cargo or hold shipments before rain actually arrives.
Kandla Port moves 132.3 million tonnes of cargo a year through Gandhidham, and the freight corridor to Mundra Port via the Gandhidham-Adipur rail line runs on tight schedules that don't pause for weather.
Gandhidham's rainfall varies by close to 60% year to year, so there's no reliable seasonal pattern to plan around, only what's actually building over the Gulf of Kutch right now.
A forecast says rain is likely near Gandhidham today. RainViewer's live hyperlocal radar shows whether that cell is actually over Kandla Port right now — or still building over the Gulf of Kutch.
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Look back at how the last two days of rain moved through the Gulf of Kutch to judge how a slow-building system like Cyclone Biparjoy might develop.
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