We need help to pay for our backups. This is a yearly funding campaign that we do, so if you can help us please see here tromsite.com/trom-backup/ - we only need 300 Euros for a full year of 4TB encrypted backups.
This means everything from our videos and documentaries, books, websites, including trom.tf (meaning all of the files that users have uploaded to our services - from Peertube videos to Nextcloud files). Everything!
300 Euros to make sure that we have everything backed-up in a secure place.
Please help if you can and thanks a lot for doing that!
All data are referenced at My visualizations: Arctic Climate Seasonality and Variability Arctic Sea Ice Extent and Concentration Arctic Sea Ice Volume and Thickness Arctic Temperatures Antarctic Se…
There are 4 services that we use for TROM.tf via @YunoHost that are either broken or not updated in some time. I will try to look more into, but these are :
If anyone can help out that'd be awesome, because it would help us all. If not at least support Yunohost financially if you can afford that donate.yunohost.org/
Yunohost is a fantastic project that allows us to provide so many trade-free services for everyone.
I hope they/we can find a solution for these packages....
TLDR We can't burn the human power as we did in '23. We're requesting a "staff" donation goal in the hopes the community will back RFF going all in for '24. If not we'll scale back offerings and initiatives.
Either way we still need more help from the community for station direction and community building and outreach out in the feeds.
With the amazing images coming back from Juno's flyby of Io, I finally took a stab at processing some JunoCam images. This image shows Io's north polar region from 2839km distance.
JNCE_2023364_57C00022_V01 Capture time: 2023-12-30 08:37 UT Height above surface: 2839.6 km Jupiter's innermost moon Io as captured by the JunoCam instrument during Perijove 57.
I processed this image from the individual framelets, which I preprocessed with a python script and then assembled in PTGui. This allowed me to retain the complete horizon which is often lost with JunoCam images.
I also developed a color calibration for the JunoCam filters based on the CIE1931 color system. This allowed me to process the image in approximate true colors as the human eye would see them.
However, this wasn't an easy task because the JunoCam RGB filters don't match the spectral response of the human eye very well. Particularly the red filter is way too sensitive in the near infrared and Io's surface is especially reflective there.
In addition to the common ColorChecker 24 spectral target I used an Io reflectance spectrum (Spencer et. al. 1995), so I could better fit my calibration matrix to the spectral characteristics of Io.
Even with weighting the Io spectrum, my calibration only managed a dE of the Io reference target of 8.3 which really isn't great. That's why I'm only calling it an "approximate" true color image for now. There is probably room for improvement by using more representative spectra.
Even with those compromises my image still looks rather similar to @volcanopele's Galileo true color processing of Io. I might try to process/calibrate some Galileo and Voyager images in the future. planetary.org/articles/2629
Thanks to its active volcanic activity and sulfur-rich surface, Io is one of the most colorful worlds yet seen in the Solar System, save the Earth of course
what are the red in the upper right part of the image? Looks like wind spread it in lines? Oh oh and what is the orange/yellow ring in the lower right part?
We’ve never had a major city completely devastated by a surprise weather event before and people don’t even seem to register it happened for the most part.
It won’t be the last time a city is destroyed for that reason, either.
Thanks for sharing the message and all we can is hope that "WE" do something. I suspect we won't as the economy will take a hit worldwide and conceivably trigger a great, great depression. At least that is the fear. So - lip service and hope for a silver bullet?
So much of the $$$ backing RW candidates is coming from the #FossilFuel & beef industries. When you fight climate change you're also fighting fascism & theocracy.
ok, there are illusions but they are not arbitrary as your discussion implies. I your example, the brightness, not color, illusion is due to the surrounding intensities and how the visual system emphasizes relative ove absolute intensity. Necessary as most objects only reflect light and relative intensity is what is more important than absolute intensity. So this illusion illustrates a visual strength not weakness.
Karl Schwartz, Artist advocate
in reply to Zack Labe • • •Thank you. Can't call myself good at graph interpretation, but there appears to be a significant change in the plotted slope.
The loss of glacier ice loss appears to be accelerating!
#climatchange #news