Hoe klimaatmodellen de ekstremen hieltyd ferkeard ynsjatte
March 8, 2026 · Frisian News
Climate scientists have built ever more complex computer models to predict future weather, yet these systems consistently underestimate extreme heat, cold, and storms. New research shows the models miss crucial feedback loops that make disasters worse than their forecasts suggest.
FryskFerline simmer registrearren waarstasjes yn it noardlike healrûn temperatueren dy't klimaatmodellen net foarsizze soenen oant 2040 of letter. Waarmtekoepels oer Noard-Amearika, Jeropa en Aazje bruts rekords dy't desennia stânhielden, mar klimaatwittenskippers stelden fêst dat har meast avansearre modellen dizze ekstremen gewoanwei net sjen oankommen hienen. It gat tusken foarsizzing en wurklikheid ropt in drege fraach op: as de modellen te koart sjitte by barrens dy't no plakfine, hoefolle fertrouwen kinne wy stelle yn har foarsizzingen foar 2050 of 2100?
It probleem giet djippar as allinnich rekkensflaters. Klimaatmodellen wurkje troch de ierde yn in raster te ferdielen en te berekkenje hoe lucht, wetter en waarmte troch elk fakje bewege. Mar de rasterfakken binne enoarm, faak grut genôch om in lyts lân te bedekkjen. Lokale effekten dy't stoarmen fersterkje, waarmtegolven fêstsette en reinfall fergrutsje, wurde glêdstreken. In tongerbuie dy't yn de iene stêd fiif sintimeter rein smyt en nergens oars wat falt, wurdt in modelgemiddelde fan twa sintimeter rein oeral.
Weromkeppelingslussen foarmje in nochris dreger probleem. Wannear see-iis smelt, absorbearet tsjusterder oseaanwetter mear waarmte, wat mear iis docht smelte. Wannear grûn ûtdrûget, ferwelkje planten, wat feroaret hoefolle sinljocht nei de romte weromkaatst wurdt, wat de grûn fierder ûtdrûget. Modellen nimme guon fan dizze lussen op, mar gisse nei har sterkte en timing. Resint ûndersyk toant oan dat dizze weromkeppelingseffekten ekstreem waar folle mear fersterkje as modellen foarsizze, wêrtroch in min seizoen yn in rampspoadich seizoen feroaret.
Wittenskippers oan ferskate universiteiten hawwe modellen mei hegere resolúsje en mear detaillearre weromkeppelingsregels boud. Earste resultaten suggerearje dat ekstreme barrens harder en faker taslaen sille as eardere foarsizzingen warskôgen. Dit soe wichtich wêze moatte foar beliedsmakers dy't fertrouwe op klimaatmodellen om miljarden euro's te rjochtfeardigjen foar oanpassing en enerzjybelied. As de modellen ekstremen mei in grutte marzje ûnderskatten, kin it iepenbiere jild dat foar previnsje útjûn wurdt min rjochte wêze.
It earlike antwurd is dat klimaatmodellen brûkbere ynstruminten bliuwe, mar stompe. Se toanne de lange-termyntrend korrekt genôch. Se fale slim by it foarsizzen fan wannear en wêr it slimste taslaen sil. Oant wittenskippers dizze gatten fúlje, leit elkenien dy't mei wissichheid beweart te witten wat it waar yn 2070 dwaan sil tsjin it bewiis yn.
Last summer, weather stations across the northern hemisphere recorded temperatures that climate models predicted would not occur until 2040 or later. Heat domes over North America, Europe, and Asia broke records that stood for decades, yet climate scientists found their most sophisticated models had simply not seen these extremes coming. The gap between forecast and fact raises a hard question: if the models fail on events happening now, how much faith can we place in their predictions for 2050 or 2100?
The problem runs deeper than mere calculation errors. Climate models work by dividing the Earth into a grid and computing how air, water, and heat move through each cell. But the grid boxes are huge, often covering an area the size of a small country. Local effects that intensify storms, lock in heat waves, and amplify rainfall get smoothed away. A thunderstorm that dumps five inches of rain in one town and nothing in the next becomes a model average of two inches of rain everywhere.
Feedback loops pose an even trickier issue. When sea ice melts, darker ocean water absorbs more heat, which melts more ice. When soil dries out, plants wilt, which changes how much sunlight reflects back to space, which dries the soil further. Models include some of these loops, but they guess at the strength and timing. Recent studies show that these feedback effects amplify extreme weather far more than the models predict, turning a bad season into a catastrophic one.
Scientists at several universities have begun building models with higher resolution and more detailed feedback rules. Early results suggest that extreme events will hit harder and more often than earlier forecasts warned. This should matter to policymakers who rely on climate models to justify billion-dollar spending on adaptation and energy policy. If the models underestimate extremes by a large margin, the public money spent on preventing them may be badly aimed.
The honest answer is that climate models remain useful tools, but they are blunt ones. They show the long-term trend correctly enough. They fail badly at predicting when and where the worst will strike. Until scientists fix these gaps, anyone claiming to know with certainty what the weather will do in 2070 is talking past the evidence.
Published March 8, 2026 · Frisian News · Ljouwert, Fryslân