Introducing FutureWeather.co: Future weather files for building performance and resilience workflows (web UI + API + Revit Dynamo package)

Hi everyone,

I wanted to share a tool we’ve been developing that you might find useful in your Ladybug-based workflows or other climate analysis or building simulation workflows. FutureWeather.co is a service for generating future climate-adjusted weather files using the latest generation of climate models (CMIP6).

What it does

FutureWeather takes a historical EPW file and morphs it into a future climate-adjusted EPW, plus an optional matching DDY file and STAT report, for any combination of target year (between 2035 and 2090) and climate scenario (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5). If your workflow already uses EPWs for climate analysis, energy simulation, or comfort and resilience studies, future-adjusted files slot in directly.

The core outputs are:

  • EPW: future-adjusted hourly weather file for annual simulation

  • DDY: future design day file for HVAC sizing, statistically consistent with the morphed EPW

  • STAT: climate statistics report in the standard format

Jobs typically complete in under a minute per run. You can also run multi-combo jobs (e.g. 2 different climate scenarios x 2 future years = 4 future EPW files, along with STAT and optional DDY files).

Technical details

  • Morphing methodology: Rodrigues et al. (2023), peer-reviewed, 180+ citations, developed in partnership with the CURA Lab at the University of Coimbra

  • Climate model ensemble: 23 CMIP6 models, monthly change factors applied across all four SSP scenarios

  • Variables morphed: dry-bulb temperature, dew point, humidity, pressure, solar radiation, and related parameters

  • Tail amplification: standard EPW morphing shifts all hours by the same monthly mean delta. Our enhancement draws on sub-daily CMIP6 projections to additionally scale individual percentiles — so extreme hours (e.g. the 99.6th percentile) can warm significantly faster than the monthly mean. This matters for resilience, comfort, and peak load analysis where the extremes drive the result

  • For more details, a technical (non-commercial) presentation on the methodology was recently delivered to ASHRAE Technical Committee 4.2 (Climatic Conditions) and is available for download on the FutureWeather website

How to use it

Web UI — Upload your EPW (and DDY if desired), choose a target year and climate scenario, and download your files. No local install needed. Available at app.futureweather[dot]co.

REST API — The full platform is accessible via a developer API using a personal access token (PAT). This is the right path if you want to generate future weather files programmatically — for example, inside a Python script, a Grasshopper/CPython workflow, or as part of an automated analysis pipeline. Full API docs: futureweather[dot]co/publicApiPage.html

Revit/Dynamo package — For teams whose workflow starts in Revit, we’ve also published a Dynamo package (FutureWeather in the Dynamo Package Manager) with ready-to-use graph templates for single jobs, batch jobs, and DDY generation. Details: futureweather[dot]co/revit/

Python packagepip install futureweather gives you a zero-dependency
Python client for generating future weather files programmatically. Works in
any Python environment — Jupyter notebooks, OpenStudio scripting workflows,
Grasshopper CPython components, or your own automation pipelines. Five lines
of code to go from a historical EPW to a future-adjusted one.

Integrations

We currently have one integration with a popular building simulation tool that we’ll be announcing soon. If you have requests for other integrations, or are interested in building one, please reach out (email below) or reply in this thread.

Getting started

  1. Create an account at app.futureweather[dot]co

  2. For a limited time, new users can get 5 free credits via this promo link: https://app.futureweather.co/?promo=LADYBUG5

  3. Upload your EPW, choose a future year and scenario, and run

Pricing

Each credit covers one full run: EPW + STAT report, with an optional DDY if you provide a historical one.

  • 1 credit — $50 ($50/credit): single output, e.g. EPW + DDY for 2080 under SSP5-8.5

  • 4 credits — $100 ($25/credit): forecast bundle, e.g. 2050 and 2075 each under SSP2-4.5 and SSP5-8.5 (4 files)

  • 8 credits — $160 ($20/credit): multi-scenario study, e.g. 2055, 2065, 2075, and 2085 across SSP2-4.5 and SSP5-8.5 (8 files)

  • 10 or more credits — from $170 ($17/credit): larger studies, multi-scenario portfolios

Subscriptions and enterprise pricing

Get in touch if you’d like to inquire about subscription or enterprise pricing: support [at] futureweather [dot] co.

Pilot program

We’re also running a pilot for users willing to provide structured feedback that helps us continue improving the product. If you’re interested in free credits in exchange for feedback, please get in touch at support [at] futureweather [dot] co or reply here.


Happy to answer any questions in this thread or via email at support [at] futureweather [dot] co.

Rowan Schmidt

Head of Product, FutureWeather[dot]co

CEO, Radbridge Incorporated