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Weather risk data

The data foundation for parametric insurance and risk

  • Vast library of quality-controlled datasets
  • High underwriting confidence from standardization
  • Faster underwriting turnaround with data access and analytics

Decision-grade weather data, forecasts, and proprietary indices for quants, structurers, and risk teams in parametric insurance and weather-linked markets, built on the Speedwell SuperPack legacy.

Data trusted by the parametric insurance market for over two decades

The weather risk portfolio provides the validated weather records and standardized indices that insurers, reinsurers, brokers, and risk managers rely on to build and settle parametric contracts. Global surface observations, production indices, and settlement data, all sourced and cleaned to financial-grade standards.

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global reference sites

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proprietary weather indices

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index families: agriculture, renewable, energy

$ 0 billion

in global risk transfer

Standardized weather indices for energy and agriculture

Widely traded market indices for OTC risk transfer for over 25 years. Used as hedging tools, trading strategies, and for efficient risk transfer solutions.

  • Energy production for wind and solar
  • Demand for energy and power
  • Temperature and precipitation for crops
Table with numbers for different days

Cleaned records, forecasts, and indices for risk transfer

The weather risk data offering consolidates historical observations, forecasts, and proprietary indices into a single source for parametric insurance and risk structuring.

  • Meteorological surface observations
  • Gridded climate datasets
  • Index data

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Easy-to-understand production indices for all major power markets and long time series data enhanced by supplementary forecasts.

Forecast demand

Create proxies for heating and cooling demand and improve the estimation and pricing of power consumption.

Hedge risk

Quantify the weather impact on agricultural risks and support efficient risk transfer solutions.

Proprietary weather indices for economic advantage

Weather risk data is the cornerstone of weather derivatives, weather hedging, and parametric insurance.

Agriculture indices

Agriculture indices

Agriculture weighted indices monitor weather impacts on crop-growing regions, helping users assess weather-related stresses such as heat, cold, and drought.

Historical observations, climatologies, ongoing observation updates, and forecasts are available for 25 crops across 40 countries (in total 240 crop regions).

Monitored crops include: Barley, Cattle, Citrus, Cocoa, Coffee, Corn, Cotton, Grapes, Hogs, Nuts and fruits, Oats, Palm Oil, Potatoes, Rapeseed / Canola, Rice, Rye, Sorghum, Soybean, Sugar Beet, Sugarcane, Sunflower, Tobacco, Wheat (Spring), Wheat (Winter), Wheat Durum

Aerial view of lush, green coffee plantation fields with mountainous landscape in the background under a clear sky.
Renewable indices

Renewable indices

Purpose-built indices representing theoretical wind and solar power production, designed specifically for risk management and risk transfer. Built on robust meteorological models and continuously validated against observed generation, they deliver consistent, transparent, and bankable benchmarks trusted by the market.

A full end-to-end solution for trading and insurance applications, including long-term historical data for pricing and structuring, forward-looking forecasts to anticipate index outcomes, and independent settlement data to determine final payouts.

From grid-level exposure to tailored portfolio views, our indices capture the true variability of renewable output.

Rows of solar panels in a desert landscape, bordered by mountains under a cloudy sky.
Energy indices

Energy indices

Power demand indices translate weather into an indication of real-world energy consumption, using population-weighted baskets of high-quality weather stations to capture how temperature impacts load across key markets.

Using advanced geospatial optimization, these indices reflect where demand actually occurs, delivering a far more representative signal than traditional approaches.

With long-term historical consistency, daily updates, and integrated forecast capabilities, they provide transparent, bankable benchmarks for pricing, hedging, and settlement.

From regional load exposure to portfolio-level demand risk, our indices enable market participants to quantify and manage weather-driven demand variability with confidence.

Data integrity is the foundation. Every dataset follows a documented workflow from sourcing to delivery.

01
Source

Data is sourced from a licensed network of national meteorological services and private providers. Longstanding partnerships ensure reliable access to station-level observations worldwide.

02
Clean

Statistical review is combined with analyst oversight to identify errors or missing data, with clear, auditable quality checks for financial risk use.

03
Document and audit

Every data version is tracked: what was received, when it was received, and how it was processed. Full audit trails support regulatory and counterparty review.

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Deliver in your format

Data is delivered through API, FTP, and web-based interfaces in user-specified formats. Scheduled delivery and on-demand access serve operational and analytical workflows.

Support for underwriting, hedging, and trading

Xweather works alongside clients as a long-term partner and trusted supplier, combining deep domain expertise with practical tools.

Expert-led data partnership

We work with you to identify the right datasets, recommend appropriate methodologies, and manage data sourcing, cleaning, and ongoing updates.

  • Better hedging and underwriting outcomes

  • High-quality weather data tailored to underwriting and hedging needs

Modeling tools for deeper understanding

Compare recent conditions against long-term norms, identify analogue years, and analyze commonly used weather indices such as heating degree days, cooling degree days, and growing degree days.

  • Better-informed pricing and structuring decisions

  • Optimized structuring of accumulated risk in portfolios

Seamless access and integration

The standardized, integrated data access is designed to fit directly into your workflows. Data is available through API, FTP, and web-based delivery

  • Immediate access to decision-ready data

  • Lean operations without sacrificing reliability

Built on the Speedwell SuperPack legacy

For over two decades, the Speedwell name has been the recognized standard in weather risk data for parametric insurance and derivatives markets.

The weather risk data portfolio was strengthened through Vaisala's acquisition of Speedwell Climate, combining Speedwell's deep index expertise and client relationships with Xweather's global data infrastructure and meteorological capabilities.

For existing Speedwell clients, continuity is a core commitment: the same data quality, index methodologies, and specialist support continue under Xweather.

For new clients, the combined offering provides access to a broader data portfolio, expanded geographic coverage, and the operational reliability of Vaisala's infrastructure.

This is a specialist market where relationships and trust matter as much as data quality. The Xweather weather risk data team understands both.

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Economic resilience

Purpose-driven weather data

Risk transfer and better business results

Decision data and tradable risk structures

Let's talk

Protect your business: contact our weather risk analysts and hedging specialists.

Speak with our risk data specialists

Discuss your data requirements, index needs, and structuring support with the team that has served the weather risk market for over two decades.

  • Formerly Speedwell SuperPack
  • Trusted by reinsurers globally
  • Agriculture, renewable, and energy indices

Frequently asked questions

Weather risk data is designed for professional integration into existing tools and workflows. Deliverables are provided via standard delivery mechanisms, including FTP, API, email, or secure web download, and are formatted as data feeds and files suitable for quantitative analysis, pricing models, and trading systems.

It is not a conventional SaaS product with a graphical user interface; instead, customers typically integrate the data directly into their own modeling, trading, and reporting environments.