Old Weather Forum

Earth is wobbling and days are getting longer — and humans are to blame

New studies, which utilized AI to monitor the effects of climate change on Earth's spin, have shown that our days are getting increasingly longer and that our planet will get more wobbly in the future.
These changes could have major implications for humanity's future.


Earth's magnetic poles (blue) will begin to wobble around the planet's spin axis (yellow) as the latter begins to move as a result of climate change.
(Image credit: ETH Zurich)

Full article: https://www.livescience.com/planet-eart ... ength-tktk

HAPPY BIRTHDAY DEAN

Happy Birthday Dean

Happy Birthday, Dean!

Hope you have a great day.

Just came across this 2016 article mentioned in the New Scientist 13th July 2024 edition.

https://www.eenews.net/articles/on-kodi ... -99-8-out/

Neat idea about using the flywheel.

Model mixes AI and physics to do global forecasts


Image of some of the atmospheric circulation seen during NeuralGCM runs. (credit: Google)

Right now, the world's best weather forecast model is a General Circulation Model, or GCM, put together by the European Center for Medium-Range Weather Forecasts.
A GCM is in part based on code that calculates the physics of various atmospheric processes that we understand well.
For a lot of the rest, GCMs rely on what's termed "parameterization," which attempts to use empirically determined relationships to approximate what's going on with processes where we don't fully understand the physics.

Lately, GCMs have faced some competition from machine-learning techniques, which train AI systems to recognize patterns in meteorological data and use those to predict the conditions that will result over the next few days.
Their forecasts, however, tend to get a bit vague after more than a few days and can't deal with the sort of long-term factors that need to be considered when GCMs are used to study climate change.

On Monday, a team from Google's AI group and the European Centre for Medium-Range Weather Forecasts are announcing NeuralGCM, a system that mixes physics-based atmospheric circulation with AI parameterization of other meteorological influences.
Neural GCM is computationally efficient and performs very well in weather forecast benchmarks.
Strikingly, it can also produce reasonable-looking output for runs that cover decades, potentially allowing it to address some climate-relevant questions.
While it can't handle a lot of what we use climate models for, there are some obvious routes for potential improvements.

Full article: https://arstechnica.com/?p=2038449

Facebook has reminded me that I posted this 12 years ago today:

The Royal Navy logs are complete: 302 ships, 1,090,690 pages. US logs coming soon!
https://oldweather.wordpress.com/2012/0 ... ervations/

Not sure where those figures came from. It was a long time ago!
On Naval-History.Net, we have published the edited logs of 314 WWI-era Royal Navy ships.

Happy Birthday, Joke_Slayer!

OOO, something good should be in a pot like that! Cake's not bad either. May you have many more happy and healthy Birthdays to come.

For further details see this link. No joke, it will slay you.
https://www.smh.com.au/technology/aussi ... xwbip.html

(As an aside see also, https://cosmosmagazine.com/earth/water/ ... re-flavour)

and https://developer.mozilla.org/en-US/doc ... Status/418