From Climate Data to Design Impact

C4B is a web platform for site-specific climate and energy analysis.

It provides instant, data-driven climate and energy insights before design begins, guiding better decisions for architects, engineers and developers.

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Try the full Essential plan for 7 days: save projects, get design direction based on your location and explore future climate scenarios. No credit card required.

climate data

Location Information and Data Summary

An overview of the project site, including coordinates, elevation, the reference weather station, and the available data inventory, shown alongside an interactive map.

climate data

Typical Hourly Outdoor Temperature, Humidity, And Adaptive Comfort Conditions

Shows how temperature and humidity vary across the hours of a typical day, month by month, plotted against an adaptive comfort range. One of the most useful references for early-stage passive design.

energy data

PV Energy: Aggregate Yearly Potential

Compares annual solar radiation across surface orientations and tilts to give a first indication of photovoltaic generation potential.

climate data

Sun Path Diagrams

Visualizes the sun's trajectory across the sky at key dates for the specific location, essential for understanding when and where sunlight reaches each facade.

climate data

Daily Wind Rose Diagram

Wind analysis broken into four times of day by season, showing how wind shifts through a typical day.

energy data

Geothermal Potential

Estimates the ground temperature at depth relative to seasonal air temperatures, giving a preliminary sense of the site's suitability for geothermal heating and cooling.

climate data

Climate Zone

Classifies the site using recognised systems (Köppen-Geiger and ANSI/ASHRAE), with reference maps and legends explaining each climate class and zone.

energy data

Country Grid Carbon Intensity Assessment

Shows the carbon intensity of the national electricity grid, benchmarks it against other countries, and breaks down the electricity generation mix by source.

design direction

Comfort Strategies for Outdoor Environments

Tests outdoor interventions such as shade and wind shelter, showing how each one raises the share of comfortable hours by season and time of day.

New York, USA: Shade is the most effective lever for outdoor comfort here. Compared with a fully exposed spot, shade alone adds 4 percentage points of comfortable time, while wind shelter alone adds 8 points. Together, shade and wind shelter raise comfort to 52% of hours. Provide layered, adjustable protection so spaces can be tuned to season and time of day.

climate data

Annual Wind Rose Diagram

Maps the frequency, direction, and speed of wind across the year, with speed bands linked to which outdoor activities remain comfortable.

energy data

Solar Radiation

Displays the solar energy reaching the site across its three components (direct normal, diffuse horizontal, and global horizontal), interpreted for photovoltaic generation potential.

climate data

Precipitation Event Intensity

Shows how intense individual rainfall events are, useful for understanding storm severity and drainage needs.

design direction

Optimal PV Panel Orientation

Recommends the best tilt and azimuth for solar panels to maximise annual energy capture, along with an effective range and expected yield.

climate data

Monthly Daytime Cloud Coverage Overview

Shows average daytime sky cloudiness each month, from clear sky through to overcast, informing daylighting and solar decisions.

climate data

Precipitation Overview

Shows how intense individual rainfall events are (rainfall per day), useful for understanding storm severity and drainage/water-management needs.

climate data

Outdoor Comfort - UTCI

Uses the Universal Thermal Climate Index to map outdoor thermal comfort by season and time of day, highlighting cold- and heat-stress hours.

climate data

Location Information and Data Summary

An overview of the project site, including coordinates, elevation, the reference weather station, and the available data inventory, shown alongside an interactive map.

climate data

Typical Hourly Outdoor Temperature, Humidity, And Adaptive Comfort Conditions

Shows how temperature and humidity vary across the hours of a typical day, month by month, plotted against an adaptive comfort range. One of the most useful references for early-stage passive design.

energy data

PV Energy: Aggregate Yearly Potential

Compares annual solar radiation across surface orientations and tilts to give a first indication of photovoltaic generation potential.

climate data

Sun Path Diagrams

Visualizes the sun's trajectory across the sky at key dates for the specific location, essential for understanding when and where sunlight reaches each facade.

climate data

Daily Wind Rose Diagram

Wind analysis broken into four times of day by season, showing how wind shifts through a typical day.

energy data

Geothermal Potential

Estimates the ground temperature at depth relative to seasonal air temperatures, giving a preliminary sense of the site's suitability for geothermal heating and cooling.

climate data

Climate Zone

Classifies the site using recognised systems (Köppen-Geiger and ANSI/ASHRAE), with reference maps and legends explaining each climate class and zone.

energy data

Country Grid Carbon Intensity Assessment

Shows the carbon intensity of the national electricity grid, benchmarks it against other countries, and breaks down the electricity generation mix by source.

design direction

Comfort Strategies for Outdoor Environments

Tests outdoor interventions such as shade and wind shelter, showing how each one raises the share of comfortable hours by season and time of day.

climate data

Annual Wind Rose Diagram

Maps the frequency, direction, and speed of wind across the year, with speed bands linked to which outdoor activities remain comfortable.

energy data

Solar Radiation

Displays the solar energy reaching the site across its three components (direct normal, diffuse horizontal, and global horizontal), interpreted for photovoltaic generation potential.

climate data

Precipitation Event Intensity

Shows how intense individual rainfall events are, useful for understanding storm severity and drainage needs.

design direction

Optimal PV Panel Orientation

Recommends the best tilt and azimuth for solar panels to maximise annual energy capture, along with an effective range and expected yield.

climate data

Monthly Daytime Cloud Coverage Overview

Shows average daytime sky cloudiness each month, from clear sky through to overcast, informing daylighting and solar decisions.

climate data

Precipitation Overview

Shows how intense individual rainfall events are (rainfall per day), useful for understanding storm severity and drainage/water-management needs.

climate data

Outdoor Comfort - UTCI

Uses the Universal Thermal Climate Index to map outdoor thermal comfort by season and time of day, highlighting cold- and heat-stress hours.

what C4B does

Read the location. Build the data. Design with it.

Three capabilities, running on one location.

data analysis

Compile data

Historic climate data for variables including temperature, humidity, cloud cover, precipitation- pulled from the most granular climate databases we can find.

data manipulation

Assess and develop graphics

Weather files compiled to your own specification and morphed forward to future climate. Graphics ready for presentation to clients- instantly.

design direction

Preliminary design direction

Massing and orientation advice, passive design strategies, outdoor comfort interventions, and the reasoning behind each one- written for your project and ready to defend.

energy data

Solar radiation report chart showing the solar energy reaching the site.

Solar Radiation

Displays the solar energy reaching the site across its three components (direct normal, diffuse horizontal, and global horizontal), interpreted for photovoltaic generation potential.

design direction

Outdoor comfort strategy matrix comparing shading and wind protection across the four seasons.

Comfort Strategies for Outdoor Environments

It tests how design interventions affect outdoor thermal comfort using the UTCI index. It's a matrix of strategies (exposing or protecting a space from wind and/or sun) across the four seasons, where each cell shows an hourly heatmap from cold stress to comfortable to heat stress, plus a comfort percentage, revealing which mix of shading and wind protection best improves year-round comfort.

climate data

Daily wind rose diagrams showing how wind shifts through a typical day by season.

Daily Wind Rose Diagram

Wind analysis broken into four times of day by season, showing how wind shifts through a typical day.

platform

Everything your site tells you, in one place.

Every project runs the same four categories of analysis, for any coordinates in the world. Each output is turned into graphic, explained, and ready to use.

Climate Data

Energy Data

Design Direction

Technical Design

Product demo · 3:08

Four places where C4B goes further.

Finding weather data is sometimes the easy part. These four capabilities change what you can actually do with it.

01

Weather station vs. site-specific data

Use the nearest station, or a dataset interpolated to your exact coordinates. Switch between the two and see the difference.

02

Future Climate Scenarios

Run the same site under future climate projections and see what design advice still holds.

03

Custom EPW Generator

Manipulate and download a weather file, ready to drop straight into your simulation workflow. Typical years, extreme years, hot years- you choose the parameters.

04

Intelligence

Every module comes with a written insight of what it means for your site. Mostly automated, selectively AI-assisted.

01 | site specific data

Your actual site, not the nearest weather station.

Many readily available weather files are tied to the closest weather station, which can be kilometers away from your site, at a different elevation, in a different microclimate. In some contexts this gap is fine, but in others the difference in weather data is substantial.

C4B builds a dataset interpolated to your project’s exact coordinates, so the climate you design against represents the site itself, not a proxy some distance away.

Map comparing weather readings 16.5 kilometers apart in Bruges, Belgium: the nearest weather station versus the project site, each with its own temperature, wind, and solar radiation readout.

Bruges, Belgium · Data from 12:00PM on June 21st, 2020

02 | future climate scenarios

Test the design against the climate it will actually live in.

Five IPCC Emissions Scenarios

Very Low

SSP1-1.9

~1.5 °C by 2100

Low

SSP1-2.6

~1.8 °C by 2100

Intermediate

SSP2-4.5

current trajectory · ~2.7 °C

High

SSP3-7.0

~3.6 °C by 2100

Very High

SSP5-8.5

~4.4 °C by 2100

A building drawn today will stand through decades of a changing climate. Historical weather data tells you where the site has been, not where it will be.

Set the completion year and the building lifespan. C4B morphs the site’s weather file to the building’s mid-life year and generates one EPW per emissions scenario, ready to run in any module or download for your own tools.

03 | custom EPW builder

Customize your weather file.

Most projects run on whatever EPW happens to exist nearby: compiled by someone else, from a period someone else chose, describing the kind of year someone else decided was typical. The Custom EPW Builder hands those decisions back to you.

dataset

Which reanalysis the hours come from.

ERA5-Land, global at 9 km and still tracking the present. Or CERRA, finer at 5.5 km across Europe, through 2020.

data window

How many years feed the compilation.

The latest 30, the latest 15, or a custom range of your own from five years up.

scoring method

How candidate years are ranked.

Traditional, TMYx or Entropy, so the method matches what the analysis is for.

compilation preset

What kind of year you want described.

Typical (TMY), hot year, cold year, seasonal extremes or extreme (EMY). Overheating is not usually tied to a typical year.

The Custom EPW Builder module: compile settings on the left, the twelve monthly workstation cards, the weather file preview charts and the validated EPW download.

04 | intelligence

The data, read for you.

Across your project overview and inside every module, each graphic comes with a written interpretation: what it’s showing, and what it means for your site.

Every insight is generated only from your project’s own data, drawn from the results on the page, so it stays grounded in your site and nothing else.

Most interpretations are generated automatically from your project’s own results. A few are AI-assisted, where the reading genuinely benefits from it. Either way, every insight is drawn only from your project’s data, never from outside sources.

climate data

Annual Wind Rose Diagram

Wind most often blows from the northwest, covering 16% of the year’s hours. Light winds of 1.5–3.3 m/s account for 48% of hours and moderate winds of 3.3–5.5 m/s for 27%; fresh winds of 5.5–8.0 m/s reach 5%, and winds above 8.0 m/s occur in 0% of hours, so windbreaks can be lightweight.

insights

how it works

Enter a location. Get clear data.

No scripts. No weather-file wrangling. C4B automatically collects and processes site-specific climate, energy and comfort data into a report you, and the rest of your team, can actually read.

step 01

drop a pin

Type an address or click a map. We pull historical weather, regional grid intensity, and local solar & wind resource for the exact coordinates.

step 02

we compute

Sun paths, wind roses, UTCI comfort, PV potential, geothermal feasibility. A full climate & energy stack, site-specific.

step 03

you design

Receive a curated set of diagrams and design directions, ready to drop into a competition, a brief, or the first conversation with a client.

mission

From your first sketch, not your final review.

Climate and energy information is usually consulted after the design is drawn, to validate it. At C4B, we think it belongs at the start, shaping the design instead of checking it.

Not a sustainability checkbox at the end, but part of the process itself.

Common practice

Common practice process: design, climate data analysis, validation, redesign, and delivery.

with C4B

C4B process: design direction and climate energy data inform design before validation and delivery.

who it is for

Find your case

architects

Good architecture already understands where it stands.

Bring your site's climate into the very first sketch, not the final review. C4B turns the raw climatic conditions of any location into design direction you can act on: passive design strategies, outdoor comfort strategies, and the climate context (solar path, wind roses, UTCI comfort) that shapes a considered response from day one. Then export it as a report your team and your client can actually read.

engineers and sustainability specialists

Reliable climate and energy data from any location on the globe.

Pull a consistent, technically sound climate and energy stack for any coordinates worldwide: EPW files, psychrometric analysis, solar radiation, PV and wind potential, and grid carbon intensity. Built to sit alongside your expertise, turning hours of data-gathering into minutes, not to replace the judgment you bring to it.

developers

Climate and energy insight, ready for the decisions that come first.

Understand the site's climate and energy profile early, before the big decisions are made, in a format you can put in front of a board or a client without a technical translator. Readable reports covering local conditions, on-site energy generation potential and grid carbon intensity give you an early, defensible read on where a project stands.

universities and institutions

Teach climate-responsive design, not software

Give a whole studio the same climate baseline for any site in the world, in minutes. Students spend the semester on design decisions instead of hunting weather files and learning a simulation tool. Research teams get a consistent climate and energy stack they can apply across sites and compare.

pricing

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Projects

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Price per project€350.00
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