StormGeo - Offshore Weather Forecasting Software
From Oil & Gas
StormGeo delivers highly accurate weather forecasts to any location, oil and gas field or wind farm project, globally. Send us an inquiry and a sales representative will contact you right away.
StormGeo operates seven weather centers that provide regional forecast expertise around the globe to allow for the best in both global forecasting models as well as regional in-house models. A team of scientists works continuously to advance quality and customer support in meteorological services.
Our forecasting allows you to find the correct weather window to save time and costs from the planning stage of your project to full cycle project operations. We also assist you in assessing whether timelines set for projects are realistic.
Our high quality global forecasts have a uniform standard of delivery for offshore operations. The forecasts are delivered through highly intuitive products, making technical data easy to understand and empowering clients to manage their weather risk with confidence at every level.
StormGeo’s Offshore Weather Forecasting provides advanced, flexible and continuous decision support to offshore operations anywhere in the world. We have supported thousands of offshore projects in locations worldwide, accompanied by millions of point forecasts.
Our Offshore Weather Forecasting solution uses the best global meteorological models, which we enhance with regional, in-house, high-resolution models. An international team of meteorologists and researchers oversees and validates all forecasts. Experts are always available, day and night, worldwide to answer any customer inquiries.
We deliver weather forecasts in text, table and plot form, easily accessible via your dedicated web portal as well as an emailed PDF file. We match frequency and required outlook timeframe to your needs.
Forecasts can be provided in consideration of operational limits presented in a traffic light format for planning operations and looking for the all-important weather window.