How It’s Made Recap: 19 Blog Posts that Reveal How Your Weather Forecast is Made
Do you still rely on freely available weather forecasts? Sure, sometimes, looking at the weather app on your phone is sufficient. But when it comes to making informed business decisions, companies typically turn to professional meteorologists, trained in weather forecasting to ensure their forecast is as accurate and reliable as possible.
So what is the difference between the free weather app on your phone and a high-quality professional forecasting service? The answer comes down to how the forecast is made.
To help you understand all the categories that create a highly accurate forecast, we’ve curated together 19 blog posts from How It’s Made: the series that doesn’t just tell you the forecast is accurat; it explains how it’s done!
Category One: Weather observations
You can tell a lot about the weather outside by looking out your window. Meteorologists do something similar. Except, instead of using only their eyes, they employ thousands of weather stations and other sensors all around the world to find out exactly what’s going on.
Monitoring the weather is part of many people’s daily routine at work. They do this to understand the safety risks for colleagues, how the weather can impact operations, and understand steps required to keep the business running profitably.
Discover how the weather experts improve data from weather stations to help create accurate and reliable weather forecasts.
Weather experts improve available weather radar data using these five methods. Find out more here.
Data from weather satellites are used to monitor conditions of the atmosphere, clouds, and the Earth’s surface - and helps to create reliable forecasts for businesses.
Lightning detection is one of the weather observation techniques used to
create accurate weather forecasts. Find out here how the weather experts use it.
Category Two: Meteorological and oceanographic (metocean) models
Experts use weather and oceanographic models to forecast weather conditions, waves, and currents in the coming hours, days, and weeks. These models are often complex, as they’re built on the laws of physics, chemistry and fluid motion, and a coordinate system that divides the Earth into a 3D grid.
Want to know more about MetOcean models and how they’re used by the weather experts to create your forecast? Find out more here.
Find out more about the external MetOcean models that are available in the market and, importantly, how they’re used by the weather experts to make your forecast.
In-house MetOcean models are part of the toolkit used by weather experts to create your forecast. Find out more here.
Category Three: Statistical post-processing
By combining several weather models and conducting statistical analyses on them, meteorologists can create an optimized forecasting system. Such a forecasting system is the foundation for predicting future weather conditions and can be adapted to specific requirements.
Statistical post processing is used by weather experts to enhance and improve their forecasts. Discover more about how they use the statistical methodologies here.
Model Output Statistics (MOS) is a real showpiece at the heart of creating your forecasts. Discover how it’s used by the weather experts to help create your weather forecast.
The Road & Route models are used to identify situations where the weather poses a risk on the roads, including supporting gritting decisions and, increasingly, supporting autonomous vehicle initiatives.
Scalable downscaling is useful where localized weather effects mean
standard weather model data can’t take into account the impact of local conditions.
Nautical MeteoBase (NMB) is a forecast data engine that feeds all marine-
related products (both shipping and offshore). Find out more here.
Category Four: Quality control and data management
All the different forms of weather data need to be structured and organized, so it can be analyzed and transformed into valuable information. As data volumes grow and technology gets better every day, there should always be data specialists looking for new technological solutions to handle future data volumes in a fast and reliable way.
Alongside this, securing quality over all elements of the forecasting process can be a challenge when it comes to something as variable as the weather, meaning there’s a strong need for quality control.
Quality control and data management of weather data are worth the investment. But what do meteorologists check and how? We’ll tell you in this article.
Discover how Data Provisioning ensures weather data used to make your weather forecast is as accurate as possible.
If the weather is important to your business, you’re going to care about the quality of your weather data. Discover how the experts ensure.
Category Five: Meteorological expertise
To truly “know” the weather, you first need both weather forecasters and data specialists. Second, you need a services team that deals with customer feedback and draw up reports. Third, you need a research team that innovates new scientific and technical methods, develops customer-specific solutions, and defines algorithms to verify forecasting quality. Combined together, these teams deliver the meteorological expertise that is essential for your forecast.
One person alone cannot do everything that’s needed. In this article, we tell you about the five teams that together form the ultimate weather forecasting squad.
When it comes to the weather, different industries have different challenges and different needs. How do weather experts improve data and how do they work with different industries? Find out here.
Bonus Post: Weather forecasting glossary
There are so many unique terms used in modern weather forecasting that it can feel like the weather experts have their own language. To help you get to grips with the terminology, we’ve curated together 38 weather forecasting terms that you need to know.
From ensemble forecasting to spatial resolution, here are definitions you need in one, handy blog post.
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