Case studies

Every number here can be interrogated.

Three worked examples of the Arasense workflow: model trust scored first, hazards projected second, and uncertainty reported instead of hidden.

Case 01

Bologna · flood-driving rainfall

METRIC · MAX 1-DAY PRECIPITATION (RX1DAY) BASELINE · 1995–2014 FUTURE · 2040–2059 SCENARIO · SSP2-4.5

All 34 CMIP6 models were scored against observed climate for the Bologna region before any projection was made. 32 passed skill screening; the projection uses only those, weighted by measured skill.

40.2 → 46.0 mmHistorical vs mid-century maximum 1-day precipitation.
+5.7 mm (+14.2%)Trust-weighted change, spread −0.3 to +11.7 mm.
78%Trusted-model weight agreeing on an increase.

The full trusted ensemble: every model, every vote

Each column is one trusted model's projected change in Bologna's maximum 1-day rainfall. Most vote for heavier rain; a handful disagree, and the disagreement is shown, not averaged away. Hover any column.

Top contributing models

ModelWeightHistorical2050Change
CESM24%48.30 mm49.93 mm+1.64 mm
CMCC-CM2-SR54%44.75 mm54.12 mm+9.37 mm
ACCESS-CM24%48.58 mm49.80 mm+1.23 mm
GFDL-ESM43%46.58 mm56.32 mm+9.74 mm

The full report lists every trusted and rejected model with its weight; see the live visual on the homepage for all 32 trusted models, or sample evidence for the scenario comparison.


Case 02

Italian flood-exposure portfolio

The same trust-first workflow applied across five cities, ranked by worsening flood-driving rainfall signal. This is how asset owners, consultants, and risk teams compare exposures with one consistent method.

RankLocationToday2050ChangeAgreement
1Rome39.91 mm47.40 mm+7.49 mm (+19%)100%
2Milan63.90 mm72.10 mm+8.20 mm (+13%)79%
3Florence46.17 mm51.45 mm+5.28 mm (+11%)80%
4Bologna44.20 mm48.95 mm+4.75 mm (+11%)100%
5Venice52.96 mm54.70 mm+1.74 mm (+3%)56%

Note how the agreement column changes the story: Venice's +3% carries only 56% model agreement, a signal to treat with caution, and exactly the kind of nuance a single ranking score would bury.


Case 03

Bari / Puglia · regional application

The workflow applied to Bari and selected Puglia locations for adaptation planning, infrastructure resilience, and climate-risk communication.

Regional question

Where is model evidence strongest?

Bari and selected Puglia locations run through rainfall, heat, and drought diagnostics.

Deliverable

One evidence pack

Map, model-trust table, 2050 hazard signal, uncertainty range, and short interpretation.

Buyer fit

Public & advisory teams

Municipalities, infrastructure owners, engineering firms, and climate consultants.


Scope note. Flood-screening outputs are validation-stage evidence interpreted alongside local data, field knowledge, and engineering analysis. The core Arasense value is transparent model-trust intelligence for climate-risk decisions.

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