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Alpenglow Weather SystemsVerified4.4(3) SwitzerlandDemo listing

Physical climate risk scores for assets under SSP scenarios

Asset-level flood, extreme heat, wildfire, windstorm and drought scores for any address or coordinate, today and under SSP1-2.6, SSP2-4.5 and SSP5-8.5 to 2100.

Climate risk data Free sample Well documented
from $250 per 1,000 assets, all hazards and scenarios

Spec sheet

Data product · Listing updated 11 Nov 2026

Coverage
Global

Worldwide, no country restrictions stated.

History
Since 1981
Update frequency
Yearly

API in real time; portfolio files returned within 24 hours

Volume

Scores for any coordinate; portfolio files up to 10 million assets

Suitable for

Mid-market, Enterprises, Public sector

Delivery methods
  • REST API
  • Amazon S3
  • SFTP
  • Dashboard / web app
Formats
  • CSV
  • Parquet
  • JSON
  • GeoJSON
Data source

CMIP6 climate projections, reanalysis, and flood, wildfire and wind hazard models

Collection method

Statistical downscaling to 1 km, hazard modeling at up to 30 m for flood, annual recalibration

Overview

Physical climate risk for every asset in a portfolio, expressed both as comparable scores and as the underlying hazard metrics.

What's included

  • Scores from 1 to 100 for riverine and coastal flood, pluvial flood, extreme heat, wildfire, windstorm and drought
  • Underlying metrics such as flood depth at the 100-year return period, days above 35 °C and fire weather index
  • Baseline (1981–2010) and future values for 2030, 2050, 2080 and 2100 under SSP1-2.6, SSP2-4.5 and SSP5-8.5
  • Confidence level for each hazard and location
  • Portfolio summaries by country, sector or asset type

How buyers use it

  • Banks and asset managers prepare climate disclosures and stress tests
  • Insurers screen new business and check accumulation by hazard
  • Real estate investors include physical risk in acquisition due diligence
  • Corporates assess sites and suppliers in supply-chain resilience reviews

Coverage and methodology

Climate projections from the CMIP6 model ensemble are statistically downscaled to 1 km and bias-corrected against reanalysis. Flood hazard comes from hydrodynamic models at up to 30 m resolution where terrain data allow, and coastal flood includes sea-level rise scenarios. Scores combine hazard intensity and frequency; they do not account for building-level adaptation such as raised floors, and local flood defences are only partly represented, which we flag where known. Models are recalibrated annually. Results are model estimates with real uncertainty, so the documentation includes validation against historical loss events and recommends using the confidence field.

Data dictionary

12 fields as documented by Alpenglow Weather Systems.

FieldTypeDescriptionExample
asset_idstringYour asset identifier—
latitudenumberAsset latitude—
longitudenumberAsset longitude—
hazardstringflood_riverine, flood_coastal, flood_pluvial, heat, wildfire, wind or drought—
scenariostringbaseline, ssp126, ssp245 or ssp585—
horizon_yearinteger2030, 2050, 2080 or 2100—
scoreintegerRisk score, 1 (low) to 100 (extreme)—
metric_namestringUnderlying hazard metric—
metric_valuenumberValue of the hazard metric—
return_period_yearsintegerReturn period for event-based metrics—
confidencestringhigh, medium or low—
model_versionstringModel release used—

Sample

Free sample available on request

The provider sends a sample file so you can test fit and quality before you buy.

Request a sample

Pricing

Prices in USD, as published by Alpenglow Weather Systems

  • Per record

    per 1,000 assets, all hazards and scenarios

    from $250
  • Yearly licence

    portfolio licence up to 250,000 assets

    from $45,000

Converted amounts use DataStoa display rates and are approximate. Alpenglow Weather Systems quotes the final price, taxes and terms.

Request detailed pricing

Coverage

Worldwide coverage.

Alpenglow Weather Systems lists this as global data without a country-by-country breakdown. Ask about depth of coverage in the countries you need.

Time coverage: 1981 to present.

Quality

Provider-reported

CompletenessShare of expected records present.
99%

Latency: API in real time; portfolio files returned within 24 hours

DataStoa has not audited these figures. Ask the provider how they are measured, or test them on a sample.

Licensing and usage rights

The licence is agreed directly between you and Alpenglow Weather Systems. This summary is provider-reported; the linked terms prevail.

  • Internal analytics
  • Use in commercial products

Not listed: AI / ML model training, AI retrieval and grounding, redistribution allowed, marketing and outreach, research use. Ask Alpenglow Weather Systems if you need any of these.

About Alpenglow Weather Systems

Alpenglow Weather SystemsVerified provider

Weather, climate risk and air quality data for any location on Earth

Alpenglow Weather Systems runs a global weather API, physical climate risk models and a European air-quality service from Zurich. Its forecasts blend national weather service models with machine-learning post-processing, and every historical series is backed by station observations and reanalysis.

Also available on: Snowflake Marketplace, AWS Data Exchange, Databricks Marketplace, Microsoft Azure

Typical reply time
Within 4 hours
Response rate
97%
Certifications
ISO 27001, SOC 2
Privacy compliance
GDPRProvider-reported

Reviews

What buyers say about Alpenglow Weather Systems. Reviews cover the provider, not only this listing.

4.4
4.4

from 3 reviews

Data quality
4.7
Volume and coverage
4.3
Value for money
4.3
Customer service
4.3
  • 4.3 Verified purchaseDemo listing11 Nov 2026

    Degree days improved our summer forecasts

    Adding degree days and the weather-driven demand features to our model noticeably reduced forecast error for heat-sensitive products. Setup took a day since site coordinates were all they needed.

    Data quality
    5/5
    Volume and coverage
    4/5
    Value for money
    4/5
    Customer service
    4/5

    Lukas W., Demand planning manager, Beverage distributor

  • 4.3 Verified purchaseDemo listing11 Nov 2026

    Climate scores with real documentation

    Each hazard score came with the underlying model resolution, the scenario and the time horizon, which let our actuaries decide where to rely on it. Subsidence scores are less granular than flood. Their scientists joined two calls to explain the method.

    Data quality
    4/5
    Volume and coverage
    4/5
    Value for money
    4/5
    Customer service
    5/5

    Isabel T., Catastrophe modeller, Specialty insurer

  • 4.8 Verified purchaseDemo listing11 Nov 2026

    A weather API that just works

    We started on the Starter tier and moved to Business when we launched. Response times are consistently fast, the history endpoint uses the same schema as forecasts, and the docs have examples in three languages.

    Data quality
    5/5
    Volume and coverage
    5/5
    Value for money
    5/5
    Customer service
    4/5

    Noah F., CTO, Agritech start-up

Questions buyers ask