⚠ No Simulation Data Found
Run a simulation on the Simulator page first, then return here to view your report.
Max Simulated
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Highest value across all simulations (baseline).
Threshold Status
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Whether the design threshold was exceeded. Threshold is based on structure type + municipality offset. The 4,064 mm/yr annual baseline = 11.1 mm/day.
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Avg Simulated
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Mean simulated rainfall (baseline scenario).
People Affected
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Estimated population at risk (baseline).
CC-Adjusted Max
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Clausius-Clapeyron adjusted max: Base × (1 + 0.07 × ΔT) where ΔT was set in the Simulator.
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At climate sensitivity setting
Vuln. Index
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Composite 0–100 risk score.
Historical Annual Maxima
Observed peak daily rainfall per year vs. predicted values. Dashed red = infrastructure threshold.
Return Levels (Gumbel EVT)
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Dashed line = infrastructure threshold. Bars exceeding it = design capacity risk. Colors indicate impact class.
Estimated extreme rainfall per return period. Dashed = threshold.
Vulnerability by Scenario — All Climate Scenarios
| Scenario | P(Exceed/yr) | P(≥1 in 10yr) | Simulated p95 | CC-Adj p95 | Impact | People | Assets (₱) | Vuln. |
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Annual Anomaly Detection
vs PAGASA baseline 4,064 mm/yr
| Year | Observed (mm) | Δ from 4,064mm Baseline | Status |
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Monthly Seasonal Rainfall Distribution
Average daily rainfall per month from simulation input data. Color-coded against infrastructure threshold to identify safe planning windows.
💡 DPWH: Schedule major construction during LOW months.
Farmers: Avoid planting in HIGH / CRITICAL months.
Threshold: —
No monthly data available. Run simulation with daily CSV data.
Monthly Rainfall Profile (avg mm/day)
Return Period vs. Exceedance Probability
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A 5-year return period does NOT mean the event will only happen once every 5 years. It means there is a 20% annual probability of being exceeded. Over 5 years, P(≥1 occurrence) = 67.2%.
Clear breakdown of what return periods mean in terms of annual and multi-year exceedance probabilities.
| Return Period (T) | Annual P (1/T) | P(≥1 in T yrs) | P(≥1 in 10 yrs) | Gumbel RL (mm/day) | CC-Adjusted RL | vs. Threshold |
|---|---|---|---|---|---|---|
| No data loaded. | ||||||
How to read: A 5-yr return level has a 20% annual exceedance probability. Over 5 years, P(≥1 occurrence) = 67.2%. Over 10 years = 89.3%. This is why critical infrastructure should be designed to 25–50 year standards.
CC-Adjusted column applies the Clausius-Clapeyron relation at the ΔT setting used in the last simulation: Adjusted RL = Base RL × (1 + 0.07 × ΔT).
CC-Adjusted column applies the Clausius-Clapeyron relation at the ΔT setting used in the last simulation: Adjusted RL = Base RL × (1 + 0.07 × ΔT).
Return Period vs. Return Level Curve
Statistical Test Results
Wilcoxon W: —
z: —
p-value: —
Spearman ρ: —
CV (Obs): —
CV (Sim): —
McNemar χ²: —
McNemar p: —
Load simulation data to populate statistical tests.
Wilcoxon Signed-Rank — Per-Year Detail
Non-zero differences only ranked
| # | Year | Observed | Predicted | Diff | |Diff| | Rank | W− | W+ |
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| Sum → | — | — | ||||||
Observed Annual Maxima — Full Table
| Year | Observed (mm) | Predicted (mm) | Difference |
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Validation & Back-testing Report
Gumbel model statistics and observed vs. predicted annual maxima. Back-testing demonstrates model accuracy and supports the McNemar test reporting.
Model Performance Statistics
No data loaded.
Observed vs. Predicted Annual Maxima
Gumbel Q-Q Probability Plot
Points near the diagonal = good Gumbel fit. Deviation at tails shows model uncertainty for rare events.