#climateprediction
Live, measured metrics for the hashtag #climateprediction from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #climateprediction
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mastodon.online (Mastodon public tags API) · fetched 2026-10-14 20:57 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-10-14 20:57 UTCNo related tags with measured usage found for #climateprediction.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-14 20:57 UTCEverything below is measured over the latest 13 public posts (spanning ~34052 hours).
Posting hours (UTC) — busiest: 11:00
Languages: English (12) · French (1)
Avg boosts / post: 1.7
Top of the latest posts
Our #NortheastMonsoon outlook, issued 10 months ahead, indicated normal seasonal #rainfall over #TamilNadu consistent with IMD's broader outlook for South Peninsular India. These results highlight the potential of long-range climate predict
Southwest #Monsoon 2026: 🔹 CTCS #forecast (January 2026): 761 mm (12.5% below normal) 🔹 IMD observation: 759.4 mm (13% below normal) Generated 5 months ahead, our forecast closely matched the observed seasonal #rainfall. 📄 IMD report: ht
🌧️ A milestone in long-range #MonsoonForecasting! The CTCS Climate Platform's Southwest Monsoon 2026 forecast, issued 5 months in advance, showed close agreement with observed #rainfall over India 🌐 https://ctcs-climate.in #CTCS #ComplexS
What “climateprediction” means
Wikipediaclimateprediction.net (CPDN) is a volunteer computing project to investigate and reduce uncertainties in climate modelling. It aims to do this by running hundreds of thousands of different models using the donated idle time of ordinary personal computers, thereby leading to a better understanding of how models are affected by small changes in the many parameters known to influence the global climate.
“Climateprediction.net” on Wikipedia (CC BY-SA) →#climateprediction across platforms
every network with a public tag surfaceFollow #climateprediction straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/climateprediction