Wind Analysis for Any Plot in India
Annual mean wind speed, prevailing direction, and seasonal breakdown — at 250m resolution, terrain-corrected. Uses the Global Wind Atlas v3 (DTU / World Bank) with ERA5-Land multi-year trend.
What wind speed tells you about a piece of land
Wind is one of the most underused parameters in pre-purchase land assessment. It affects ventilation, structural cost, agricultural suitability, and — for larger plots — renewable energy potential. The numbers in your result card answer three practical questions.
Natural ventilation and building orientation
A plot with a 4–6 m/s annual mean and a consistent prevailing direction gives a structural engineer enough to design natural cross-ventilation without mechanical cooling. The rule is straightforward: orient the building so the longer facades face the prevailing wind direction (typically SW in monsoon, NE in winter in peninsular India). Inlet openings on the windward face and exhaust openings on the leeward face create a pressure difference that draws air through. In Hyderabad, Bengaluru, and Pune — cities with 4–5 m/s annual means — this reduces cooling loads by 15–30% in a well-designed building versus a randomly oriented one.
A site with a very low annual mean (below 2 m/s) or a highly variable direction is harder to design for passively. Mechanical ventilation becomes the default, which is fine but costs more to run.
Structural wind loads — and why annual mean is not the design number
IS 875 Part 3 (Wind Loads on Buildings and Structures) uses the basic wind speed Vb — the 3-second gust speed at 10m height with a 50-year return period. This is a very different number from annual mean wind speed. A site with a calm 3.5 m/s annual mean can still sit inside a 44 m/s IS 875 zone if the region experiences occasional severe storms.
The annual mean in this result is useful for ventilation and energy planning. For structural design, always use the IS 875 Part 3 wind speed map for the specific district, and apply gust factor, terrain category, and topography factor corrections as required. Your structural engineer does this calculation — the annual mean is not their input.
Agriculture and horticulture
Wind has opposite effects on crops depending on intensity. Moderate wind (2–5 m/s) promotes evapotranspiration and reduces disease by drying leaf surfaces — generally positive. Strong sustained winds above 8–10 m/s cause physical damage: stem lodging in cereals, fruit drop in orchards, excessive soil moisture loss in sandy soils. Coastal plots in Tamil Nadu and Andhra Pradesh facing the Bay of Bengal need windbreak planning if monsoon speeds exceed 8 m/s regularly. The seasonal breakdown in your result card identifies which season, if any, creates this risk.
Wind energy screening (10+ acres)
India’s commercial wind energy threshold is approximately 6–7 m/s at 80–100m hub height. The annual mean at 50m height in your result is a first filter. A site clearing 5 m/s at 50m typically clears 6–7 m/s at 80m due to wind shear. Sites below 4 m/s annual mean at surface level are generally not viable for commercial wind power in India’s current tariff environment without strong specific terrain effects (ridge acceleration, funnel channelling). The Global Wind Atlas 250m is the data layer IRENA and the World Bank publish as the standard for wind resource screening globally.
The Beaufort reference for day-to-day understanding
- 0–2 m/s (Calm to Light air): Smoke rises vertically. No wind noticeable. Buildings need forced or assisted ventilation.
- 2–4 m/s (Light to Gentle breeze): Leaves rustle. Good for passive ventilation through openings. Comfortable for outdoor activity.
- 4–6 m/s (Gentle to Moderate breeze): Branches move. Optimal for natural cross-ventilation in buildings. Most comfortable wind range for agriculture.
- 6–9 m/s (Moderate to Fresh breeze): Small trees sway. Wind-noise through windows. Structural detailing for cladding and fixings starts to matter above 8 m/s.
- 9–12 m/s (Fresh to Strong breeze): Large branches move. Umbrella use difficult. Site requires windbreak planning for horticulture. Rooftop fixings need formal design.
- Above 12 m/s (Near gale+): Twigs break. Sustained wind at this level is rare in India except in cyclone-prone coastal zones and high-altitude passes.
What do these numbers mean?
Your result card contains two layers of data: a high-resolution 10-year wind climate from the Global Wind Atlas, and a 15-year annual trend from ERA5-Land. Here is how to read each metric.
Why wind direction reverses every six months
India sits at the convergence of two opposing circulation systems. Understanding these four seasons is the key to interpreting the seasonal breakdown in your result card.
Why direction matters for buildings and farms: If your plot’s result shows a >90° direction shift between JJA (typically SW) and DJF (typically NE), your windward face changes seasonally. For natural ventilation, orient openings toward the dominant summer direction (usually SW). For windbreaks protecting crops, plant them on the side facing the season with the highest speed.
India's wind resource geography
India's wind resource is strongly seasonal and regionally concentrated. Understanding where your plot sits in the national picture helps interpret the result.
| Region | Typical Annual Mean | Dominant Season | Key Characteristic |
|---|---|---|---|
| Rajasthan, Gujarat, Kutch | 5–8 m/s | Summer + Monsoon | Thermal gradient winds from the Thar. India’s largest wind power installed capacity. Suited for utility-scale wind and agri-solar-wind hybrid projects. |
| Tamil Nadu coast (Muppandal belt) | 6–9 m/s | SW Monsoon · Jun–Aug (JJA peak) | Bay of Bengal onshore flow + funnel terrain near the southern tip. India’s most wind-dense coastal zone. Strong seasonal variation. |
| AP & Karnataka coast | 4–6 m/s | SW Monsoon · Jun–Aug (JJA peak) | Sustained southwest monsoon onshore. Good natural ventilation for coastal residential plots. Check JJA and SON seasonal bars in your result. |
| Peninsular interior (Telangana, Karnataka, Maharashtra) | 3–5 m/s | Monsoon | Moderate wind, consistent direction. Good passive ventilation potential. Not viable for commercial wind energy without specific ridge or gap terrain. |
| Indo-Gangetic Plain (UP, Bihar, Punjab, Haryana) | 2–4 m/s | Monsoon + Winter westerlies | Low annual mean. High dust-loading in pre-monsoon (April–June). Building orientation still matters for natural cooling in hot summers. |
| Northeast (Assam, Meghalaya, Sikkim) | 1.5–3.5 m/s | Monsoon (highly variable) | Sheltered by Himalayan ranges for much of the year. Dense topography creates channelling in valleys. Results vary sharply with micro-site location. |
| Kerala & Konkan coast | 2–4 m/s | Monsoon (heavy but short) | High monsoon intensity for 4 months, calm rest of year. Heavy rainfall co-occurs with wind. Building waterproofing more critical than wind loading. |
Source: Global Wind Atlas v3, DTU Wind Energy / World Bank Group (2023). Annual means at 50m height, 10-year climatology 2008–2017.
How the analysis works
Two datasets, one result card. High-resolution terrain-corrected climate from GWA; long-term trend from ERA5-Land reanalysis.
You mark the site
Draw the plot boundary, drop a pin, or type an address. We extract the centroid coordinates. Wind resource varies meaningfully over ridge–valley distances (250m resolution), so the specific location matters more here than for regional parameters like air quality or night lights.
GWA lookup at 250m
The Global Wind Atlas v3 data is queried at the centroid. GWA uses a downscaling chain: ERA5 global reanalysis → WRF mesoscale model at 3km → WindSim CFD model at 250m with digital terrain and roughness inputs. The 250m output captures ridge acceleration, valley channelling, and slope effects that coarser products miss.
ERA5-Land trend (2010–present)
The annual mean wind speed for each year from 2010 to the most recent complete year is extracted from the ERA5-Land reanalysis (~9km) at the same location. A linear trend is fitted and classified as Strengthening, Stable, or Weakening based on the slope relative to the period mean.
Methodology and data sources
Primary: Global Wind Atlas v3 (GWA)
The Global Wind Atlas v3 is produced by DTU Wind Energy (Technical University of Denmark) in partnership with the World Bank Group and ESMAP. It combines ERA5 reanalysis as boundary conditions, WRF (Weather Research and Forecasting) mesoscale modelling at ~3km, and WindSim CFD downscaling to 250m horizontal resolution. The climatological period is 2008–2017 (10 years). Output parameters include mean wind speed and wind power density at multiple hub heights (10m, 50m, 100m, 150m, 200m), prevailing direction, Weibull parameters A and k, and seasonal breakdowns by standard meteorological season.
License: CC BY 4.0 — free to use commercially with attribution. Published by the World Bank Group / ESMAP.
Trend data: ERA5-Land (ECMWF/Copernicus)
ERA5-Land is produced by ECMWF under the Copernicus Climate Change Service. It is a reanalysis product that combines model data with observations covering January 1950 to the present, updated with approximately 3-month latency. Horizontal resolution: ~9km (0.1° × 0.1°). The wind speed variable used is u10 and v10 (10m height winds), converted to resultant speed. This is the standard ERA5 surface wind layer — ERA5-Land provides enhanced spatial detail for land surface variables; wind at 10m is one of the core variables.
How we classify results
- Good (Comfortable Winds): 3–6 m/s annual mean. Optimal for passive ventilation; agriculture-friendly; good for distributed wind turbines.
- Moderate (Light Winds): 1.5–3 m/s. Buildings need design assistance for natural ventilation. Not viable for wind energy without specific terrain gains.
- Moderate (Fresh Winds): 6–9 m/s. Structural wind loading starts to matter. Agricultural windbreak planning recommended. Viable for commercial wind energy.
- Poor / Severe (Strong Winds): Above 9 m/s annual mean. Significant structural considerations. Specialist engineering required for any permanent structure.
Limitations
- GWA is a climatological average, not a recent measurement. The 2008–2017 period may not reflect recent interannual variability. The ERA5-Land trend layer supplements this.
- 250m is not the same as a met mast measurement. GWA is a modelled product; terrain-induced turbulence, vegetation roughness changes, and local obstruction effects (buildings, tree rows) are not captured at sub-250m scale. A bankable wind energy assessment requires on-site measurements.
- Height correction. GWA outputs at 50m. If your application needs wind speed at hub height (80m, 100m, 150m), apply the power law: V(h₂)/V(h₁) = (h₂/h₁)^α where α ≈ 0.14 for open land (terrain category II) to 0.28 for rough terrain. Consult GWA’s full output for Weibull parameters at higher hub heights.
- Cyclone-prone coastal zones. The annual mean substantially underrepresents risk in NDMA-designated cyclone-prone coastal districts. IS 875 Part 3 cyclonic wind zones are the authoritative reference for structural design in those areas.
