Lol, why
KinNectar
"By using non-parametric trends30,31 and considering an ensemble of 146 CMIP533 and CMIP634 climate model runs (Tables S1 and S2), we identify regions where wetting and drying patterns converge across the globe. Our trend-based approach aligns with the continuous nature of radiative forcing35, provides flexibility and robustness in detecting and quantifying global warming-induced changes, and effectively controls for natural variability36.
Our innovative approach (see “Methods”) evaluates the entire time-series using no interannual averaging and combines information from the fullest range of GCM projections available to determine their agreement and the extent of precipitation impacts with no ensemble aggregation. This is important because each set of simulations provides a plausible storyline of future precipitation patterns under elevated global warming, rather than using aggregated data which can obscure important trends and patterns."
Read the methods before commenting on them please. This study uses 146 different simulation models and takes a non-averaged median projected value to generate the final projections.
Vaselgel is too cheap to manufacture to get the funding it needs to bring it to market, that's why they have been trying for 20 years and haven't succeeded yet. In the US the rights are owned by a non profit Parsemu Foundation formed to fund it. It looks like their private partner NEXT Life Sciences is actually set to come to market with a vaselgel product in 2026 they are calling Plan A.
Interesting marketing choice comparing it to the Plan B pill.
Bring in the military to feed my kids some vegetables.
That is the definition of an authoritarian position.
Wasn't there an Olympics in China not so long ago?
4rm the indigenous!
"Meanwhile, Screen Effects’ “vibrant animations that will transform your words into dazzling visual displays” "
Please don't.
Nice to learn about the SI standard notation KiB, MiB, etc. I had no idea.
Isn't Popcorn time dead these days?
Copyright issues aside, can we talk about how this implies accurate recall of an image from a never before achievable data compression ratio? If these models can actually recall the images they have been fed this could be a quantum leap in compression technology.