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About An independent scientific visualisation platform, by lelama.digital

lelama.digital

Born of a curiosity about the Sun

An independent observatory, designed and built by lelama.digital, to look at the great natural phenomena through their data.

Why this observatory

The Observatory of natural phenomena is designed and built by lelama.digital. It grew out of a long-standing curiosity about natural phenomena, and above all about the role our Sun plays: its cycle of about eleven years, its flares, the solar wind that constantly shapes the magnetosphere, and the way this activity reaches all the way to the Earth, from aurorae to disturbances of the magnetic field.

For years I followed the YouTube channel Suspicious0bservers with passion. Its daily space weather reports taught me to look at the Sun differently: reading a Kp index, watching for a coronal mass ejection, following a coronal hole, and above all asking questions about the possible links between solar activity, the Earth’s magnetic field, earthquakes or climate.

That passion led to a simple wish: to bring together in one place the data published by the major scientific institutions (NOAA, NASA, USGS, SILSO, IERS…), to make them beautiful and readable, and to let everyone judge for themselves. That is the spirit of this site: show the measurements as they are, with their sources and uncertainties, and put ideas to the test of the numbers. The Correspondences pages test, with classical statistical methods, hypotheses that circulate about these links, whether they hold up or not.

The site is independent, ad-free, and will keep growing: coronal mass ejections, tropical cyclones and other series are already on the list. Comments and suggestions are welcome.

The Observatory gathers, on separate pages, large-scale natural phenomena: solar activity and space weather, earthquakes and volcanoes, the ocean and the climate, the Moon, tides and Earth rotation, and the motion of the magnetic poles. Each page relies on series published by scientific institutions, imported reproducibly (address, SHA-256 hash and retrieval date recorded) and shown with their units and uncertainties.

The “Correspondences” pages compare series with common statistical methods (alignment, lagged correlation, superposed epochs, resampling). Results come with their confidence interval, the number of points, literature references, and a systematic reminder: a correlation does not establish causation.

Scientific rules
  • A model result is always distinguished from an observation.
  • Two models are never joined into one continuous series.
  • Units, uncertainties and instrument changes are displayed.
  • Every value links to its source, licence and retrieval date.
Privacy
Fonts, libraries, textures and map tiles are served by the site. Google Analytics audience measurement (_ga cookies) is loaded only if you accept it; your choice is kept for six months in the obs_consent cookie and can be changed with the “Manage cookies” link at the bottom of the page. Refusing removes the Google Analytics cookies. The OpenStreetMap layer of the maps, if you choose it, queries the OpenStreetMap tile servers.
Credits

Data: see the Data sources page for each provider’s licence and citation.

Design and development: lelama.digital.

Visuals: three.js, NASA Blue Marble, NASA CGI Moon Kit (LRO), OpenStreetMap (optional layer).

Interface: CYBER theme (Sean Ngu, ThemeForest licence), Bootstrap 5, ApexCharts, Leaflet, Bootstrap Icons, Noto fonts (SIL OFL).