The UrClimate Suite
Comprehensive SaaS products for climate risk assessment, from screening
to financial quantification.
Physical Risk Scoring
UrClimate Score
Location-level hazard scores and financial loss metrics (AAL, PML) for underwriting, portfolio screening and lending decisions, delivered by API or as GeoTIFF rasters.
- 10 meteorological perils, scored 1–100
- Flood, landslide, earthquake and wildfire layers
- Real-time REST API and GeoTIFF rasters
- Four coverage tiers, up to 182 countries
Weather and Climate Risk for Energy Assets
UrClimate Tailor
Site-specific forecasts, live lightning tracking, workability analysis, seasonal outlooks and climate-risk financialisation for wind, solar and hydro plants, in one interface.
- Km-scale hourly site forecasts
- Live lightning tracking and proximity alerts
- Workability windows for maintenance and field work
- Climate-risk financialisation (5 hazards, AAL/NPV)
Physical Climate Risk for Banks
UrClimate Next
Measures physical climate risk across a bank's credit portfolio and translates it into auditable financial impact through PD, LGD and DSCR, with regulation-ready outputs.
- 6 physical hazards, SSP2-4.5 and SSP5-8.5
- PD, LGD and DSCR credit-risk channels
- IFRS 9 ECL and capital (RWA, ICAAP) impact
- TSRS S2, EBA Pillar 3 and BDDK outputs, on-prem
Municipal Climate Platform
UrClimate Kent
GHG inventory, physical climate risks and finance readiness: the climate platform built for municipalities.
- Scope 1–2–3 GHG inventory
- 9 physical hazard maps
- GPC & CDP-ready reporting
- Access to Finance module
Solutions
CFD and building physics services for the built environment, from facade wind loads to climate-resilient data centers.
How it works
We define the problem and the right scale
We clarify the asset or portfolio objective, geographic scope, hazard set (e.g., heatwaves, storm/wind, flooding, wildfire), and performance criteria. At this stage, we determine which decision will be supported (design, investment, insurance, or operations) and define the appropriate spatial/temporal resolution and output format. Step label (desc.): Objective + scope
Step 1
We build a multi-scale modelling framework
We combine climate and meteorological data with topography, land use, urban geometry, and project-specific site inputs. By selecting the appropriate physical approach (e.g., WRF, CFD, hydrologic–hydraulic modelling), we establish a consistent solution chain from macro to micro scales and apply quality control, calibration, and technical verification to ensure reliability. Step label (desc.): Model + validation
Step 2
We translate results into decision outputs
We turn results into decision-ready deliverables: risk indicators, scenario comparisons, sensitivity/exposure insights, and improvement/adaptation options. Where required, we link these outputs to financial impact metrics and deliver them in the format best suited to the use case: report, map, interactive dashboard, or API. Step label (desc.): Report / API / Dashboard
Step 3
LinkedIn Highlights
Selected posts by Güven Fidan and Alkazar; follow both profiles for the full feed.
A warm winter turns snow into rain, brings water forward into winter and takes it away from spring.
The seasonal forecast says this winter will probably not repeat last water year's very wet course. The analysis found no significant link between El Niño and winter rainfall. For hydropower, the question is when the water arrives. Not investment advice.
AlkazarCompany pageEvery data-centre investment asks three questions: How much capacity? How soon? At what risk?
A short film on what a modular data centre is made of, how it goes up on an empty plot and what decides whether it performs. What no drawing shows is the air: external CFD checks how exhaust and warm cooler air move across the site while the layout can still change.
Every new investment has to live not with the climate of the past, but with the change of the future.
Reporting physical climate risk in financial terms has become mandatory under TSRS for companies above a certain size. Data collection and calculation should not stay a reporting chore; they should feed climate adaptation actions and senior management decisions.
AlkazarCompany pageDesign for noise and thermal performance together.
Acoustic screens around condensers and dry coolers cut noise but change the airflow path: hot discharge air can be caught behind the barrier and re-ingested, giving warmer intake air and lower cooling capacity. CFD tests distance, height and louvre area for the site.
When you design a data centre, everything starts with a single number: the design temperature.
Chiller selection, redundancy and operating cost rest on the design temperature, yet that number often comes from a distant station and only recent years of record. A longer record changes the picture. The design condition should be reported with its source.
AlkazarCompany pageModular data centres: the hard problem is outside the box.
Modules arrive factory tested, but the site is not. Chillers, dry coolers and generators placed close together compete for the same ambient air, and wind decides which one wins. External CFD reviews the layout while changes can still be made on paper rather than on site.