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Writer's pictureDr. Hansi Singh

The Challenge of Subseasonal Forecasting

Subseasonal Forecasting from 2 Weeks to 6 Weeks

There's a lot of talk (and confusion) about different types of environmental forecasting. We're all familiar with daily weather forecasts, and many of us have heard about long-term climate projections. But what about the murky middle ground between these two extremes? That's where subseasonal forecasting comes in, and it's one of the most exciting - and challenging - frontiers in Earth system prediction.


Subseasonal forecasts 2-6 weeks

Subseasonal forecasting covers a time frame from 2-6 weeks into the future. It's a unique beast in the world of predictions, sitting right at the intersection of weather and seasonal outlooks. This time horizon is too far out for traditional weather models to handle, but too short-term for seasonal prediction methods to tackle effectively.



Why is it so important, and why does it give scientists such headaches?

Let's start with why it matters. Subseasonal forecasts could be game-changers for a whole host of sectors. Imagine if farmers could get a heads up about a dry spell a month in advance, or if energy companies could better predict heat waves and cold snaps several weeks out. These forecasts could revolutionize how we prepare for and respond to weather patterns that aren't quite day-to-day weather, but aren't long-range climate trends either.


The biggest hurdle is that subseasonal forecasting is tough. Really tough. It relies on a complex interplay of initial conditions from the ocean, atmosphere, and land surface. Unlike weather forecasting, which primarily depends on the atmosphere's initial state, or seasonal to decadal predictions, which lean heavily on ocean memory, subseasonal forecasting needs to juggle all these factors simultaneously.


What makes this time horizon so tricky is that it's right where the chaotic nature of weather starts to give way to longer-term patterns. The atmosphere, with its relatively short memory, is still a major player. But the ocean, with its longer-term memory, is starting to exert its influence too. Add in the wildcard of land surface conditions, and you've got a prediction puzzle that's keeping scientists on their toes.

Despite these challenges, we're making progress. Researchers are hard at work developing new models and techniques to crack the subseasonal code. They're looking at everything from sudden stratospheric warmings to soil moisture levels, trying to identify the key drivers of weather patterns in this 2-6 week window.


One exciting area of research is the connection between subseasonal patterns and larger climate phenomena. For instance, the Madden-Julian Oscillation (MJO), a major fluctuation in tropical weather on weekly to monthly timescales, can have significant impacts on subseasonal forecasts. By better understanding these connections, scientists hope to improve the accuracy and reliability of subseasonal predictions.


The surface and upper-atmosphere structure of the Madden–Julian oscillation (MJO) for a period when the enhanced convective phase (thunderstorm cloud) is centered across the Indian Ocean and the suppressed convective phase is centered over the west-central Pacific Ocean.
Credit: Fiona Martin, Public Domain, via Wikimedia Commons

It's worth noting that, just like with weather forecasts, the skill of subseasonal predictions can vary by region and time of year. Some areas of the globe are easier to forecast than others, and certain seasons might offer more predictability than others.


As we push the boundaries of Earth systems predictability, subseasonal forecasting is a critical bridge between the short-term weather forecasts we rely on day-to-day and the longer-range seasonal predictions that inform climate adaptation strategies.

Planette’s subseasonal prediction models outperform all existing models. We deliver environmental forecasts for temperature, precipitation, 100-m wind, solar irradiance, humidity and extreme weather events in the critical 2-6 week time horizon with up to 90% accuracy over a 25-km grid, worldwide. If you’re in an industry that could benefit from highly accurate subseasonal forecasts, request an account today.

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