Inaccurate Weather Allowances
Programmes carry weather contingencies based on rules of thumb rather than site-specific historical analysis, leading to under- or over-estimation.
For Estimators
WeatherWise for Estimators
Historical weather analysis and probabilistic modelling for accurate weather contingency in every construction estimate.
Challenges You Face Every Day
Planning teams rely on weather assumptions that are rarely grounded in data. These gaps create risk across your entire portfolio.
Reactive Schedule Adjustments
Without forward visibility of weather disruption, schedule revisions happen after delays occur rather than in advance.
No Portfolio Weather Visibility
Understanding the weather impact across multiple projects and regions requires manual aggregation from disparate data sources.
Manual Weather Data Collection
Planning teams spend hours gathering weather data from generic forecast sites that lack construction-relevant thresholds.
Inconsistent Contingency Calculations
Each planner applies different assumptions for weather allowances, producing inconsistent programmes across the business.
Inability to Forecast Seasonal Disruption
Seasonal weather patterns are understood qualitatively but not quantified, making it impossible to plan around peak disruption months.
How WeatherWise Helps
A four-step workflow that turns raw weather data into actionable planning intelligence.
1
Import Your Schedule
Upload from P6, Asta Powerproject, Oracle Primavera Cloud, or MS Project. Activity types are mapped automatically.
2
Weather Calendars Generated
WeatherWise auto-calculates working days lost to weather for every activity, using 45+ years of site-specific historical data.
3
Probabilistic Forecasting
See risk windows ahead with P50 and P80 completion dates that account for seasonal weather probability distributions.
4
QSRA Integration
Weather risk outputs feed directly into Monte Carlo analysis tools like Safran Risk and Acumen Risk for comprehensive schedule risk assessment.
What You'll See in WeatherWise
Purpose-built features for planning professionals who need weather intelligence embedded in their workflow.
Weather Calendar Overlays
Day-by-day weather calendars overlay directly onto your Gantt chart, showing expected non-working days for each activity type.
Seasonal Productivity Curves
Visualise how productivity changes month-by-month for each activity type based on historical weather patterns at your site.
P50/P80 Completion Dates
Probabilistic completion forecasts that give you confidence levels for programme milestones, factoring in weather risk distributions.
Portfolio Weather Dashboards
See weather risk exposure across all your projects in one view, with aggregated metrics and comparison tools.
Automated Weekly Reports
Weekly weather impact summaries generated automatically, ready for programme review meetings and stakeholder updates.
Schedule Import/Export
Seamless integration with P6, Asta Powerproject, Oracle Primavera Cloud, and MS Project. Import schedules and export weather-adjusted programmes.
Frequently Asked Questions
How does WeatherWise integrate with P6 and Asta? +
WeatherWise provides direct import/export with Primavera P6 (.xer, .xml), Asta Powerproject (.pp), Oracle Primavera Cloud, and Microsoft Project (.mpp). Upload your schedule and weather calendars are automatically generated for every activity, reflecting site-specific weather probabilities.
How are weather allowances calculated? +
WeatherWise uses 45+ years of ERA-5 reanalysis data to calculate probabilistic weather allowances. The system analyses historical weather at your exact site coordinates and applies activity-specific thresholds to calculate expected lost days at P50 and P80 confidence levels.
Can I model different scenarios? +
Yes. WeatherWise supports scenario modelling so you can compare different programme start dates, durations, and seasonal strategies. See how shifting a programme changes the weather risk profile and total expected lost days.
What data resolution is available? +
WeatherWise provides hourly weather data at approximately 30km grid resolution using ERA-5 reanalysis. For forecasting, resolution increases with higher-fidelity models. All data covers any location on Earth with 80+ weather variables.
How does it handle multi-year programmes? +
Multi-year programmes are fully supported. WeatherWise generates weather calendars for the entire duration, accounting for seasonal variation year-on-year. Climate trend adjustments can be applied so future weather expectations reflect evolving conditions.
Related Resources
For Risk Managers
Quantified weather risk for QSRA and risk registers.
For Estimators
Historical weather analysis for accurate contingency.
For Digital Construction
API-first integration with your digital ecosystem.
Weather Calendars
Day-by-day weather impact on your programme.
QSRA Integration
Monte Carlo weather inputs for schedule risk analysis.
Ready to Price Weather Risk Accurately?
See how WeatherWise gives estimators the historical data and probabilistic tools to build defensible weather contingency into every tender.