Climate-risk evidence

Case studies from Arasense climate-risk workflows.

Each example shows how Arasense evaluates climate-model trust, reports flood, heat, or drought signals, and communicates the level of model agreement behind the result.

Arasense climate-risk console screenshot
At a glance

Sample outputs and regional applications

Bologna rainfall +14.2%

Full-ensemble mid-century change in maximum 1-day precipitation under SSP2-4.5.

Italian portfolio Rome #1

Sample ranking places Rome highest for worsening max 1-day rainfall among five Italian cities.

Bari / Puglia Regional use case

Climate-risk evidence packs can support rainfall, heat, infrastructure, and adaptation planning.

Open regional application

Case 1

Bologna flood-driving rainfall

This case shows maximum 1-day precipitation, historical 1995-2014 vs future 2040-2059. Arasense first scores model trust, then projects the hazard using the skill-weighted models.

Historical: 40.23 mm
Future: 45.97 mm
Change: +5.73 mm (+14.2%)
Model trust: 32 of 34 models passed skill screening
Agreement: 78% trusted-model weight agreeing on increase
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
Case 2

Italian flood-exposure portfolio

A portfolio view makes the product easier for asset owners, consultants, and risk teams to understand. Instead of one location, Arasense ranks several places by worsening flood-driving rainfall signal.

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%
Case 3

Bari / Puglia regional application

The Arasense workflow can be applied to Bari and selected Puglia locations to support adaptation planning, infrastructure resilience, and climate-risk communication.

Regional question

Where is climate-model evidence strongest?

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

Evidence pack

One evidence pack

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

Buyer fit

Public and advisory teams

Useful for municipalities, infrastructure owners, engineering firms, and climate consultants.

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.