Climate risk in Surat
Gujarat, India · 3.8M people in the urban area
What threatens Surat most
- Drought
- Extremely High WRI Aqueduct
- Water stress
- High WRI Aqueduct
- Cyclone wind
- Category 1 once in 100 years IRIS
Tsunamis and landslides are not rated for a single city here. Climate risk profile of India
Drought risk in Surat: Extremely High, on WRI's scale.
Mumbai: High.




























Extremely High © OpenStreetMap Surat's climate in the 2050s
2041-2060 compared with 1991-2020, moderate emissions
By the 2050s, Surat's climate will still be more like its own today than any other large city's. The nearest other is Kalyān (India).
+1.3°C
Mean temperature over the year
+1.4°C
Highest in the warmest month
+1.9°C
Lowest in the coldest month
+10%
Precipitation over the year
Under high emissions, no large city has such a climate today; the nearest is Amaravati (India).
Its own climate today is 5.5 σ away. How close the match is: 6.8 σ to the climate of Kalyān today, where under 2 is close and over 4 is no match (Mahony et al. 2017). 2 of 3 climate model runs name the same city. Seasonal temperature and rain are compared, not extremes, city heat or the sea.
Where else Surat stands out
297 mm
Sea level rise by 2050, moderate emissions
Mumbai: 169 mm.
The highest of the 8 large cities in India.
Higher than in 90% of the world's 205 large cities
295 days
Tropical nights in 2025, over 20 °C
Mumbai: 319 days.
Higher than in 86% of the world's 630 large cities
Hazards at Surat
Read at the city's centre and compared with the Atlas's 630 large cities. Moderate emissions is the IPCC's scenario SSP2-4.5.
| Hazard | Surat | Among large cities | In India |
|---|---|---|---|
| Hot days in 2025, over 35 °C | 6 days | Among large cities: above 53% | In India: 45 of 50 |
| Tropical nights in 2025, over 20 °C | 295 days | Among large cities: above 86% | In India: 11 of 50 |
| Hottest day of 2025 | 36.1°C | Among large cities: above 49% | In India: 44 of 50 |
| Warming by 2050, moderate emissions | +1.4°C | Among large cities: above 15% | In India: 15 of 50 |
| Days with 20 mm of rain or more in 2025 | 19 days | Among large cities: above 82% | In India: 15 of 50 |
| River flood depth, 100-year event | Dry at the city centre point | ||
| Coastal flood depth, 100-year event | Dry at the city centre point | ||
| Sea level rise by 2050, moderate emissions | 297 mm | Among large cities: above 90% | In India: 1 of 8 |
| Water stress | High (40-80%) | Among large cities: above 56% | In India: 30 of 50 |
| Drought risk | Extremely High | Among large cities: above 95% | In India: 1 of 49 |
| Earthquake shaking, once in 475 years | 0.56 m/s² | Among large cities: above 48% | In India: 24 of 50 |
| Land burned in an average year | 0% | ||
| Cyclone wind, once in 100 years | 37.8 m/s |
Flood depth is read in a single 1 km cell at the city's centre, in today's climate. Other parts of the city can still flood. The country page names the deepest point near a coastal city in 2080, so its figure can be higher. See how deep a river flood reaches around Surat on the live map
See the sea level rise around Surat on the live map




























297 mm © OpenStreetMap Large cities in India
- Mumbai
- Delhi
- Kolkata
- Chennai
- Bengaluru
- Hyderabad
- Amaravati
- Ahmedabad
- Howrah
- Pune
- Kanpur
- Jaipur
- Lucknow
- Nagpur
- Patna
- Indore
- Vadodara
- Bhopal
- Coimbatore
- Ludhiana
- Agra
- Kalyān
- Visakhapatnam
- Kochi
- Nashik
- Tirunelveli
- Meerut
- Faridabad
- Varanasi
- Ghaziabad
- Asansol
- Jamshedpur
- Madurai
- Jabalpur
- Rajkot
- Dhanbad
- Amritsar
- Warangal
- Prayagraj
- Srinagar
- Vijayawada
- Chhatrapati Sambhajinagar
- Bhilai
- Solapur
- Jodhpur
- Gwalior
- Ranchi
- Tiruchirappalli
- Kota
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Source: Criora (criora.com), based on ECMWF, NEX-GDDP-CMIP6, WRI, IPCC, GSHAP, GFED500, IRIS: the Imperial College Storm Model dataset
APA
Criora. (2026). Surat, India: climate risk profile [Data set]. Retrieved November 2, 2026, from https://criora.com/atlas/IND/surat BibTeX
@misc{criora_atlas_IND_surat_2026,
author = {{Criora}},
title = {Surat, India: climate risk profile},
year = {2026},
url = {https://criora.com/atlas/IND/surat},
urldate = {2026-11-02}
} Each reading stays under its source's terms; the sources are named on this page.
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