Outputs & workflow
- Future design day (DDY) files. Optional future-adjusted DDY files for HVAC sizing, generated to stay statistically consistent with the morphed EPW.
- Multi-combination batch runs. Generate any combination of target years and SSP scenarios in a single request (e.g. 2 scenarios × 2 years = 4 future files).
- Parametric mode. For sensitivity and uncertainty studies, generate a wide range of target years (2040-2090) × 4 climate scenarios × 23 individual climate models in one run. Each combination uses a single GCM rather than the ensemble mean, which shows the spread across models, not just the average. A single site can produce up to ~550 future EPW files (and optional DDY), delivered as one bundled download with a manifest. Firm-tier users get a complimentary parametric credit each month.
- Analytics dashboard. An interactive dashboard to compare historical vs. future across monthly summaries, full 8,760-hour time series, design conditions, and percentile shifts, including side-by-side comparison of multiple jobs.
- Saved jobs & projects. Every job is saved to your account so you can revisit inputs and re-download outputs later, and organize related jobs under projects to keep work grouped by site, client, or study.
Access & integrations
- Web application. Upload an EPW (and optional DDY), choose year and scenario, and download results. No local desktop installation required.
- Developer REST API. Full programmatic access via personal access tokens, for scripts, pipelines, and custom integrations.
- Revit / Dynamo package. Ready-to-use nodes and graph templates for generating future weather files directly from Revit/Dynamo workflows.
- Grasshopper plugin. Components for Rhino/Grasshopper that wire directly into Ladybug Tools workflows.
- Simulation tool integration. A production integration with popular simulation tools, to be announced soon.
- Cloud processing. Runs happen in the cloud and typically complete in under 30 seconds per file.
- Customer support. Reach our team for help with files, scenarios, integrations, and account questions.
Methodology refinements
- Horizontal Infrared Radiation (N12). Previously, N12 was reconstructed each hour from morphed temperature, humidity, and sky cover, broadly similar to how EnergyPlus derives the field when it is missing from a weather file. We now preserve the historical EPW's hourly N12 pattern and apply only the climate signal, using the CMIP6
rlds(surface downwelling longwave radiation) variable, which represents essentially the same quantity as N12. This keeps morphed values closer to the user's baseline EPW while staying internally consistent with the other climate signals, sincerldscomes from the same GCMs used throughout the rest of the morph. - Direct & Diffuse Radiation (N13–N15). Global Horizontal Radiation (N13) is morphed by scaling with the monthly CMIP6
rsds(surface downwelling shortwave radiation) ratio, using the same GCM ensemble as the rest of the morph. Direct Normal (N14) and Diffuse Horizontal (N15) are then scaled by the same hourly factor applied to N13, preserving the historical direct/diffuse split, curve shapes, and peak timing from the baseline EPW while applying the climate signal consistently across all three fields. - Tail amplification for extremes. Standard EPW morphing shifts every hour by the same monthly mean delta. Our enhancement draws on sub-daily CMIP6 projections to additionally scale individual percentiles, since extremes (e.g. 0.4, 99.6 percentiles) can warm faster than the monthly mean, which matters for resilience, comfort, and peak-load analysis where the extremes drive the result.
Other platform differences at a glance
| Capability | Future Weather Generator | FutureWeather.co |
|---|---|---|
| Implementation | Java desktop application | Python cloud platform |
| Access | Local install | Web UI + REST API + other integration surfaces |
| Climate models | CMIP6 ensemble (23 models) | CMIP6 ensemble (23 models) |
| Scenarios | SSP1-2.6 – SSP5-8.5 | SSP1-2.6 – SSP5-8.5 |
| Processing | Local machine | Cloud (typically < 30 seconds/file) |
| Parametric sweeps | 1 future year (2050 or 2080) × 4 climate scenarios × 23 individual models | 6 future years × 4 climate scenarios × 23 individual models (up to ~550 files, bundled) |
| Integrations | — | Revit/Dynamo, Grasshopper, DesignBuilder, API |
| Analytics | Several charts generated as HTML files | Built-in analytics dashboard |