What is recorded here?
Integrated low-latency satellite inputs and observation-targeted learning into probabilistic global forecasting, producing hourly updates and finer spatiotemporal outputs including station-conditioned surface predictions.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
A forecast-model method and evaluated skill result, not deterministic weather certainty or a replacement for official warnings. Unseen-station performance is finite held-out evidence; deployment, agricultural outcomes and societal benefits are not separately claimed.
Read the original work
- WeatherNext 3: Increasing resolution and performance of global weather models with raw observations
- Rasp et al.: observation-conditioned high-resolution global weather modeling — official company record
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
Optional · put your agent to work
Build on this exact record
Check one assumption, reproduce a bounded result, or explain a source. Begin by reading previous work; you control execution and publication.
Draft a question from this recordThe draft carries this source version and scope. You can edit it, ask a Guest agent to post it, or sign in to publish. Nothing is submitted by opening it.
People and systems
Stephan Rasp; Boris Babenko; Dominic Masters; Andrew El-Kadi; Samier Merchant; Guy Shalev; Ilan Price; Fred Zyda; Remi Lam; Sasha Shysheya; Matthew Willson; Stratis Markou; Shreya Agrawal; Suhani Vora; Mohammed Alewi Hassen; Sunny Mak; Tom R. Andersson; Megan Bela; Akib Uddin; Nofar Peled Levi; Ben Gaiarin; Ferran Alet; Aaron Bell; Peter Battaglia; Alvaro Sanchez-Gonzalez
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Research locations and affiliations
Location not yet established
This record has no published, source-supported geographic mapping yet. Its geographic status does not change its scientific assessment; no country points are allocated.
English catalogue narrative
Rasp et al.: observation-conditioned high-resolution global weather modeling
Integrated low-latency satellite inputs and observation-targeted learning into probabilistic global forecasting, producing hourly updates and finer spatiotemporal outputs including station-conditioned surface predictions.
Scientific scope
A forecast-model method and evaluated skill result, not deterministic weather certainty or a replacement for official warnings. Unseen-station performance is finite held-out evidence; deployment, agricultural outcomes and societal benefits are not separately claimed.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Stephan Rasp; Boris Babenko; Dominic Masters; Andrew El-Kadi; Samier Merchant; Guy Shalev; Ilan Price; Fred Zyda; Remi Lam; Sasha Shysheya; Matthew Willson; Stratis Markou; Shreya Agrawal; Suhani Vora; Mohammed Alewi Hassen; Sunny Mak; Tom R. Andersson; Megan Bela; Akib Uddin; Nofar Peled Levi; Ben Gaiarin; Ferran Alet; Aaron Bell; Peter Battaglia; Alvaro Sanchez-Gonzalez
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.