Weather Risk Data for Your QSRA
Generate statistically rigorous, location-specific weather risk distributions that plug directly into Acumen Risk and Safran Risk. Replace guesswork with real data.
Generic Assumptions Undermine Your Risk Analysis
Risk analysts add weather to QSRAs using flat percentages or gut-feel distributions that don't reflect actual site conditions. A 10% weather allowance applied uniformly across every activity ignores the reality that earthworks in January face very different risks than steelwork in July.
The result is Monte Carlo outputs that look rigorous but are built on foundations of guesswork. Your P50 and P80 completion dates are only as good as the distributions that feed them.
How It Works
Four steps from programme upload to QSRA-ready weather risk distributions.
Upload Programme
Import your schedule from P6, Asta, MS Project, or Excel. WeatherWise reads activities, durations, and site coordinates.
Calculate Impact
WeatherWise analyses 45+ years of ERA-5 data at your exact location and calculates probabilistic weather impact for each activity.
Export Distributions
Export risk distributions directly to Acumen Risk or Safran Risk in the format your QSRA tool expects.
Run Monte Carlo
Run your Monte Carlo simulation with real, location-specific weather data instead of generic assumptions.
Key Features
Rigorous weather risk data designed specifically for quantitative schedule risk analysis.
Probabilistic Distributions
Real probability distributions derived from decades of climate data, not flat percentages. Your Monte Carlo gets the shape and spread of actual weather risk.
Location-Specific Data
Based on 45+ years of ERA-5 data at your exact site coordinates. No regional averages or generic climate zones.
Direct QSRA Export
Export weather risk distributions directly to Acumen Risk and Safran Risk in the native formats these tools expect. No manual data transformation.
Activity-Level Granularity
Weather risk is calculated per activity, not as a blanket allowance. Earthworks, crane operations, and concrete pours each get distributions that reflect their specific weather sensitivity.
Correlation Modelling
Built-in correlation modelling between weather variables ensures distributions accurately represent real-world relationships. Wind and rain correlate; your risk model should too.
Minutes, Not Days
Upload your programme and get QSRA-ready outputs in minutes. No manual research, no spreadsheet modelling, no waiting for external consultants.
Trusted by Risk Analysts on Major Infrastructure Projects
See how leading contractors replaced weather guesswork in their QSRAs with data-driven distributions from WeatherWise.
Frequently Asked Questions
Can't find what you're looking for? Book a demo and we'll walk you through it.
What QSRA tools does WeatherWise integrate with?▾
How does it improve on manual weather allowances?▾
Does it handle correlations between weather variables?▾
Can it work alongside existing risk registers?▾
How quickly can I generate outputs?▾
Explore More
Replace Weather Guesswork in Your QSRA
No card required. Upload your programme and get QSRA-ready weather risk distributions in minutes.