#FloodForecasting
Live, measured metrics for the hashtag #FloodForecasting from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #floodforecasting
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 2026-10-19 22:55 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 2026-10-19 22:55 UTCNo related tags with measured usage found for #floodforecasting.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-19 22:55 UTCEverything below is measured over the latest 8 public posts (spanning ~29668 hours).
Posting hours (UTC)
Languages: English (7) · German (1)
Avg boosts / post: 0.4
Top of the latest posts
🌟 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐢𝐧𝐠 [Google Research’s] 𝐆𝐫𝐨𝐮𝐧𝐝𝐬𝐨𝐮𝐫𝐜𝐞 - 𝐀𝐧 𝐨𝐩𝐞𝐧 𝐬𝐨𝐮𝐫𝐜𝐞 𝐝𝐚𝐭𝐚𝐬𝐞𝐭 𝐨𝐟 𝐡𝐢𝐬𝐭𝐨𝐫𝐢𝐜 𝐟𝐥𝐨𝐨𝐝 𝐞𝐯𝐞𝐧𝐭𝐬 𝐟𝐫𝐨𝐦 𝐧𝐞𝐰𝐬 𝐚𝐫𝐭𝐢𝐜𝐥𝐞𝐬. -- https://doi.org/10.31223/X5RR2K / https:
📢 New preprint! Introducing DROP 💧 a physically informed deep learning framework for river discharge prediction. By combining AI with explicit river routing, DROP delivers: ✅ Strong spatial generalization ✅ Better flood peak prediction ✅
U.S. Companies to Help Kazakhstan Improve Snow Monitoring and Flood Forecasting https://web.brid.gy/r/https://timesca.com/u-s-companies-to-help-kazakhstan-improve-snow-monitoring-and-flood-forecasting/
The Times Of Central Asia | Eurasian Publication & News Online [Unofficial]@timesca.com@web.brid.gy♥ 0↻ 02026-06-29 13:45 UTCView post →
#floodforecasting across platforms
every network with a public tag surfaceFollow #floodforecasting 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/floodforecasting