PolarWarmingVille
The following is from a commentary by Gavin Schmidt the director of NASA's Goddard Institute for Space Studies published last week in Nature:
Of course, in answer to my question at the top of the post, the problem with the climate prediction models is not an ideological one.
Instead, it's an issue of missing data.
Missing data that we've got to find, and fast, as Dr. Schmidt explains:
The following is from a commentary by Gavin Schmidt the director of NASA's Goddard Institute for Space Studies published last week in Nature:
"...For the past nine months, mean land and sea surface temperatures have overshot previous records each month by up to 0.2 °C — a huge margin at the planetary scale. A general warming trend is expected because of rising greenhouse-gas emissions, but this sudden heat spike greatly exceeds predictions made by statistical climate models that rely on past observations. Many reasons for this discrepancy have been proposed but, as yet, no combination of them has been able to reconcile our theories with what has happened..."
Of course, in answer to my question at the top of the post, the problem with the climate prediction models is not an ideological one.
Instead, it's an issue of missing data.
Missing data that we've got to find, and fast, as Dr. Schmidt explains:
"...Much of the world’s climate is driven by intricate, long-distance links — known as teleconnections — fuelled by sea and atmospheric currents. If their behaviour is in flux or markedly diverging from previous observations, we need to know about such changes in real time. We need answers for why 2023 turned out to be the warmest year in possibly the past 100,000 years. And we need them quickly."
Imagine that!
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Of course, funding institutions, scientists and projects to collect such data is most definitely a political act and, unfortunately, increasingly viewed by some, quite wrongly in my opinion, as ideological.
