roter

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I saw a note from an earlier year's discussion saying the css has been changed over the years. Perhaps it was easier then to discern fact or myth, truth or fiction.

... potential collapse of the Atlantic Gulf Stream, also known as the Atlantic Meridional Overturning Circulation or AMOC.

The Gulf Stream is not also known as the AMOC. The nature of the Gulf Stream (intense surface current flowing off the eastern coast of North America) is largely driven by wind torque (westerlies in the mid-latitudes, easterlies in the tropics and polar regions) with the intensification due to Coriolis and coastal friction. What we're talking about collapsing is the overturning part largely driven by the differences in salt & temperature between the surface and the abyss. This overturning intensifies the heat transport from tropics to poles and pulls the Gulf Stream farther north:

  All Ireland is washed by the Gulf Stream
  -- Ulysses, James Joyce

Somewhat similar for Canada:

https://worktree.ca/taffer/canadian-alternatives

Browsing is slow. Can browse folders but can't open individual files. Pink unicorns with fiery manes.

Hitting the "I'd Buy" button gets me "Your bank account is filing a restraining order". Lovely.

Isn't the main reason because you're not eating?

The whispey ones are largely transparent to incoming shortwave radiation but largely opaque to outgoing longwave radiation. You just need to put on your ~10 micron wavelength goggles.

The pros for heat pumps are numerous. There is the issue of resilience to extreme weather. ASHRAE is funding a project, just getting underway, to create a map, first of the USA but anticipated to be expanded to worldwide, of heat pump resilience in the face of an expected change in the frequency of extreme events. Those wanting to learn more:

https://www.ashrae.org/file%20library/technical%20resources/...

And I went straight to storing large numerical arrays, i.e. replacement for Zarr, NetCDF, HDF, etc

There is also the theory that the British just had more practice at gunnery and sailhandling while blockading the French/Spanish in the various ports.

http://archive.today/dalBp

Clouds have two main impacts: reflect incoming, shortwave radiation back to space and absorb (and re-radiation up and down) outgoing, longwave radiation from the surface. The interplay and relative proportion between these two impacts has long been a challenge and depends upon the cloud altitude (low/high), composition (water,ice), and optical depth.

Units provided were power not energy. The number provided is just the product of the solar constant and the cross-sectional area of Earth [0], roughly.

[0] https://bionumbers.hms.harvard.edu/bionumber.aspx?id=100943

I always found this 2/3rds statistic hard to believe but it counts all coastlines as a border zone [0].

As a Canadian, I'm more concerned with the vast percentage of us who live within 100 miles of the US border.

[0] https://www.aclu.org/know-your-rights/border-zone

https://archive.is/m3TcW/share

Very interesting and promising package.

I especially like that there is a PyQt interface which might provide an alternative to another great package: pyqtgraph[0].

[0] https://github.com/pyqtgraph/pyqtgraph

One of his (Sir Terry) sources for inspiration was Brewer's Dictionary of Phrase and Fable [0]. Indeed he wrote a foreword for one of them.

[0] Brewer's Dictionary of Phrase and Fable

How do you stop so you don't go whizzing past Alpha Centauri at near light speed? :)

When running Orbit on the comments in this page:

The Orbit add-on by Mozilla is a new AI-powered tool that summarizes and answers queries about web content, including articles and videos. It uses a Mistral LLM (Mistral 7B) hosted on Mozilla's GCP instance. The add-on is free to use and works on various websites, including Gmail, Wikipedia, NY Times, YouTube, and more. However, some users have raised concerns about the size of the model and its privacy implications, as well as the fact that it requires an internet connection to function. Additionally, some users have suggested that Mozilla should focus on improving the browser itself rather than developing new add-ons.

s/malice/avarice.

There is support for the OP's statement, in the case of Celsius at least [0], emphasis mine:

Because of this dual usage, one must not rely upon the unit name or its symbol to denote that a quantity is a temperature interval; it must be unambiguous through context or explicit statement that the quantity is an interval. This is sometimes solved by using the symbol °C (pronounced "degrees Celsius") for a temperature, and C° (pronounced "Celsius degrees") for a temperature interval, although this usage is non-standard. Another way to express the same is "40 °C ± 3 K", which can be commonly found in literature.

[0] https://en.wikipedia.org/wiki/Celsius#Temperatures_and_inter...

Rankine.

I remember having more luck at Bakka Books back in the 80s when it was on Queen St. Looks like it still exists in perhaps a reduced form [0].

[0] https://en.wikipedia.org/wiki/Bakka-Phoenix

I too need to do percentiles. One option is loop through the grids but bin/histogram it. You'll get a really good 99% from a 1 Kelvin bin width.

Also, I've found the diurnal profile from ERA5 analysis can be abysmal in some locations. ERA5-Land is much better, high resolution, though only available over... er... land.

To your point about not relying on cloud. Noted in the Google option [1] link above:

Update Frequency: The ERA5 dataset is currently not refreshed in the Google Cloud Public Dataset Program. The program provides ERA5 data spanning from 1940 to May 2023.

Another alternative, Amazon [2], also deprecated:

The provider of this dataset will no longer maintain this dataset. We are open to talking with anyone else who might be willing to provide this dataset to the community.

[2] https://registry.opendata.aws/ecmwf-era5/

I too use the ERA5 reanalysis data and I too need quick time series. As the data comes in [lat, lon] grids, stacked by whatever period you've chosen, e.g. [month of hourly data, lat, lon], it becomes a massive matrix transpose problem if you want 20+ years.

What I do is download each netCDF file, transpose, and insert into a massive 3D HDF file organized as [lat, lon, hour]. On my workstation it takes about 30 minutes to create one year for one variable (no parallel I/O or processes) but then takes milliseconds to pull a single (lat, lon) location. Initial pain for long-term gain. Simplistic, but I'm just a climatologist not a database guru.

If I read correctly, they are using the ERA5 dataset [0]. It is freely available and can be downloaded through a Python API called cdsapi.

[0] https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysi...

To help improve Daft, we collect non-identifiable data.

To disable this behavior, set the following environment variable: DAFT_ANALYTICS_ENABLED=0

[0] In short, we collect the following:

On import, we track system information such as the runner being used, version of Daft, OS, Python version, etc.

On calls of public methods on the DataFrame object, we track metadata about the execution: the name of the method, the walltime for execution and the class of error raised (if any). Function parameters and stacktraces are not logged, ensuring that user data remains private.

Is this telemetry really necessary?

[0] https://www.getdaft.io/projects/docs/en/latest/faq/telemetry...

For those wanting to see it in action [0].

[0] https://www.youtube.com/watch?v=RV9P0w8vZi8

And a beautiful little extension [0] (I use the Firefox one) to click when you visit a page that you want to Archive.is or Wayback.

[0] https://github.com/dessant/web-archives