Waves and currents Data, Global Open Efficiency Prizes
Amin Chabchoub @DrAminChabchoub Our new Geophysical Research Letters #AGUpubs @theAGU work led by @YanLi_PhD elaborates also on the connection between extremely large ocean waves and Langmuir circulation dynamics . Enjoy the read! 🤓 https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2023GL107381 https://pic.twitter.com/lrvc3ZsLjW
Replying to @DrAminChabchoub @theAGU and @YanLi_PhDIt seems you need better ways to image, record and model these flows at all scales. Looking at the 269,000 entry points for (“langmuir” “waves” “currents” “imaging”) I see plenty of activity. ( “langmuir” “waves” “currents” “imaging” “data” ) is 145,000 entry points and “sharing” starts to emerge.
Replying to @DrAminChabchoub @theAGU and @YanLi_PhDIt seems you need better ways to image, record and model these flows at all scales. Looking at the 269,000 entry points for (“langmuir” “waves” “currents” “imaging”) I see plenty of activity. ( “langmuir” “waves” “currents” “imaging” “data” ) is 145,000 entry points and “sharing” starts to emerge.
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(“langmuir” “waves” “currents” “imaging” “data”) ( “sharing” “global” “integrated”) reduced to 65,900.
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That seems like a lot but it is not – for what is a global effort and continuing interest. The overlap with plasma and many other fields it not coincidental. The parameter space is that large in order to see all the possible cases.
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But hundreds of separate groups continue to use local bits and pieces and do not put enough effort into indexing, recording, lossless sharing and data engineering at internet scale.
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Even ( “waves” “currents” ) is only 37.5 Million entry points. But will @Google and @xai help document and make that variously encoded knowledge and its sources useful to all in the field, and learning? Not really. Their mindset is not “service” at all.
When you add up the waste and in-efficiency in the current systems, “service to all” evolves into new global integrative AI-assisted data industries.
I filed this under “Waves and currents Data, Global Open Efficiency Prizes”.
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Richard Collins, The Internet Foundation
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