Climate & Energy Design Data
Climate Design Data: Kolkata, India
How to research climate design data for a specific site in Kolkata — the controlling authority, source documents, and checks to run before you rely on a number.
Last updated August 31, 2026 · Location data from the [GeoNames IN dump](https://download.geonames.org/export/dump/IN.zip) (CC BY 4.0, snapshot 2026-08-31, GeoNames ID 1275004). Regulatory starting point: [Bureau of Indian Standards and the applicable state or urban local body](https://www.services.bis.gov.in/php/BIS_2.0/bisconnect/knowyourstandards/Indian_standards/isdetails/). Figures are illustrative — verify against the current locally adopted edition for the site. Climate screening data from the [NASA POWER Climatology API documentation](https://power.larc.nasa.gov/docs/services/api/temporal/climatology/) and [exact point response](https://power.larc.nasa.gov/api/temporal/climatology/point?parameters=T2M%2CT2M_MAX%2CT2M_MIN%2CRH2M%2CPRECTOTCORR%2CWS10M&community=SB&longitude=88.36304&latitude=22.56263&format=JSON), retrieved 2026-08-31; source period: 20-year Meteorological and Solar Monthly & Annual Climatologies (January 2001 - December 2020). NASA POWER values are gridded screening statistics, not code design conditions or guaranteed local observations.
Direct answer
NASA POWER's 2001–2020 climatology at the Kolkata reference point reports an annual mean 2 m temperature of 25.8 °C and relative humidity of 73.9%. The highest monthly maximum is 46.8 °C in May, while the lowest monthly minimum is 3.4 °C in January; these are screening statistics, not code design temperatures. The point response uses LST and the 20-year Meteorological and Solar Monthly & Annual Climatologies (January 2001 - December 2020); its annual corrected precipitation is 4.29 mm/day and annual 10 m wind speed is 3.20 m/s. For climate design data, use the 46.8 °C and 3.4 °C monthly extrema to screen seasonal exposure, then obtain the adopted percentile design conditions. NASA POWER is gridded climatology: verify elevation, microclimate, urban exposure, station or weather-file suitability, current code edition and the authority's required source before design use.
Prepared by Harth · Harth transformed the cited NASA POWER climatology into this screening table; project design conditions and local applicability remain unreviewed · Published 2026-08-26 · Updated 2026-08-31.
What must be verified for Kolkata?
Kolkata is represented here at approximately 22.5626, 88.3630 for discovery and workflow planning. A project address, parcel, elevation, exposure, authority, and submission date must replace that city-centre reference before design use.
How should climate design data be established?
- Fix the surveyed site and local time basis.
- Select an authoritative weather source or a named solar-position algorithm.
- Record period, percentile or scenario and units.
- Test sensitivity to elevation, exposure, urban form and horizon.
- Save the source file, retrieval date and checker in the model record.
| Input | Project-specific evidence | QA question |
|---|---|---|
| Site | surveyed coordinates, elevation and horizon | Does the point represent the building? |
| Weather/solar method | named dataset, algorithm, period and time basis | Are station, time zone and units explicit? |
| Design scenario | current and future scenario agreed by the team | Is an average being mistaken for an extreme? |
| Compliance | adopted local document and edition | Was applicability confirmed with the authority? |
What are the limits of this worksheet?
This climate-design-workflow page is a project-starting worksheet, not a design value or approval. The controlling authority and qualified professionals for the Kolkata site remain authoritative.
Which related searches does this primary location record cover?
This primary route consolidates the location evidence needed for Climate Design Data, Weather File Guide, Overheating Weather Data, Building Climate Checklist. A narrower route should be released only when it adds a materially different official source, calculation, process, threshold or worked example.
Kolkata NASA POWER monthly climate screening table
| Month | Mean °C | Monthly max °C | Monthly min °C | RH % | Precipitation mm/day | Wind at 10 m m/s |
|---|---|---|---|---|---|---|
| January | 17.31 | 30.95 | 3.43 | 65.24 | 0.42 | 2.59 |
| February | 22.01 | 37.48 | 7.25 | 57.38 | 0.71 | 2.62 |
| March | 27.37 | 41.84 | 12.36 | 54.98 | 0.99 | 2.97 |
| April | 31.19 | 45.28 | 19.47 | 59.87 | 1.67 | 4.01 |
| May | 31.53 | 46.81 | 23.45 | 67.49 | 4.64 | 4.15 |
| June | 29.90 | 43.86 | 23.67 | 80.38 | 7.69 | 4.26 |
| July | 28.67 | 35.86 | 24.34 | 86.95 | 10.73 | 4.32 |
| August | 28.24 | 34.41 | 24.46 | 89.07 | 9.95 | 3.62 |
| September | 27.69 | 33.66 | 21.89 | 89.34 | 8.62 | 2.94 |
| October | 26.02 | 32.83 | 13.76 | 83.60 | 4.70 | 2.25 |
| November | 21.89 | 30.70 | 9.02 | 77.98 | 0.75 | 2.20 |
| December | 17.78 | 29.24 | 4.66 | 73.81 | 0.28 | 2.49 |
Month-by-month climate interpretation
- January: mean temperature 17.31 °C is 8.50 °C below the annual mean; the monthly max–min span is 27.52 °C. Relative humidity is 65.24% (8.69 points below annual), while corrected precipitation at 0.42 mm/day is 3.87 mm/day drier than the annual daily rate.
- February: mean temperature 22.01 °C is 3.80 °C below the annual mean; the monthly max–min span is 30.23 °C. Relative humidity is 57.38% (16.55 points below annual), while corrected precipitation at 0.71 mm/day is 3.58 mm/day drier than the annual daily rate.
- March: mean temperature 27.37 °C is 1.56 °C above the annual mean; the monthly max–min span is 29.48 °C. Relative humidity is 54.98% (18.95 points below annual), while corrected precipitation at 0.99 mm/day is 3.30 mm/day drier than the annual daily rate.
- April: mean temperature 31.19 °C is 5.38 °C above the annual mean; the monthly max–min span is 25.81 °C. Relative humidity is 59.87% (14.06 points below annual), while corrected precipitation at 1.67 mm/day is 2.62 mm/day drier than the annual daily rate.
- May: mean temperature 31.53 °C is 5.72 °C above the annual mean; the monthly max–min span is 23.36 °C. Relative humidity is 67.49% (6.44 points below annual), while corrected precipitation at 4.64 mm/day is 0.35 mm/day wetter than the annual daily rate.
- June: mean temperature 29.90 °C is 4.09 °C above the annual mean; the monthly max–min span is 20.19 °C. Relative humidity is 80.38% (6.45 points above annual), while corrected precipitation at 7.69 mm/day is 3.40 mm/day wetter than the annual daily rate.
- July: mean temperature 28.67 °C is 2.86 °C above the annual mean; the monthly max–min span is 11.52 °C. Relative humidity is 86.95% (13.02 points above annual), while corrected precipitation at 10.73 mm/day is 6.44 mm/day wetter than the annual daily rate.
- August: mean temperature 28.24 °C is 2.43 °C above the annual mean; the monthly max–min span is 9.95 °C. Relative humidity is 89.07% (15.14 points above annual), while corrected precipitation at 9.95 mm/day is 5.66 mm/day wetter than the annual daily rate.
- September: mean temperature 27.69 °C is 1.88 °C above the annual mean; the monthly max–min span is 11.77 °C. Relative humidity is 89.34% (15.41 points above annual), while corrected precipitation at 8.62 mm/day is 4.33 mm/day wetter than the annual daily rate.
- October: mean temperature 26.02 °C is 0.21 °C above the annual mean; the monthly max–min span is 19.07 °C. Relative humidity is 83.60% (9.67 points above annual), while corrected precipitation at 4.70 mm/day is 0.41 mm/day wetter than the annual daily rate.
- November: mean temperature 21.89 °C is 3.92 °C below the annual mean; the monthly max–min span is 21.68 °C. Relative humidity is 77.98% (4.05 points above annual), while corrected precipitation at 0.75 mm/day is 3.54 mm/day drier than the annual daily rate.
- December: mean temperature 17.78 °C is 8.03 °C below the annual mean; the monthly max–min span is 24.58 °C. Relative humidity is 73.81% (0.12 points below annual), while corrected precipitation at 0.28 mm/day is 4.01 mm/day drier than the annual daily rate.
Harth retrieved this point climatology from NASA POWER API v2.9.7 for location record 1275004. It is a reproducible screening dataset, not an hourly weather file, forecast, code design condition or substitute for local professional review.
Where can you explore related guidance?
- Explore all climate data guidance
- Climate Design Data: Jamshedpur, India
- Climate Design Data: Dhanbad, India
- Climate Design Data: Patna, India
- Climate Design Data: Varanasi, India
Sources and method
Location data from the GeoNames IN dump (CC BY 4.0, snapshot 2026-08-31, GeoNames ID 1275004). Regulatory starting point: Bureau of Indian Standards and the applicable state or urban local body. Figures are illustrative — verify against the current locally adopted edition for the site. Climate screening data from the NASA POWER Climatology API documentation and exact point response, retrieved 2026-08-31; source period: 20-year Meteorological and Solar Monthly & Annual Climatologies (January 2001 - December 2020). NASA POWER values are gridded screening statistics, not code design conditions or guaranteed local observations.
Source links
Frequently asked questions
What does NASA POWER climatology show for Kolkata?
For the Kolkata reference point, the 2001–2020 NASA POWER climatology reports 25.8 °C annual mean temperature, 73.9% relative humidity and 4.29 mm/day corrected precipitation. The monthly maximum peaks at 46.8 °C in May.
Can the Kolkata climatology replace project design temperatures or an hourly weather file?
No. The Kolkata response is gridded monthly climatology; its lowest monthly minimum of 3.4 °C in January is not a code percentile or observed site extreme. Verify elevation, local exposure, the required weather file or design-condition source and the current adopted code.
Related pages
- Climate Design Data: Kitale, Kenya
Climate Design Data for Kitale: source-led evidence, applicability and project QA checklist.
- Climate Design Data: Kitchener, Canada
Climate Design Data for Kitchener: source-led evidence, applicability and project QA checklist.
- Climate Design Data: Klerksdorp, South Africa
Climate Design Data for Klerksdorp: source-led evidence, applicability and project QA checklist.
- Climate Design Data: Kota Damansara, Malaysia
Climate Design Data for Kota Damansara: source-led evidence, applicability and project QA checklist.
- Climate Design Data: Krugersdorp, South Africa
Climate Design Data for Krugersdorp: source-led evidence, applicability and project QA checklist.
- Climate Design Data: Kuantan, Malaysia
Climate Design Data for Kuantan: source-led evidence, applicability and project QA checklist.