Awesome Time Series
Papers
Topics
Trending
Leaderboards
Authors
Datasets
Learn
Ask AI
Map
Tools
Packs
News
Videos
All sections
Browse
Papers
The full index, filterable and sortable.
Topics
The same papers grouped by subject tag.
Trending
What moved this week, and by how much.
Authors
Who publishes here, and who they publish with.
Map
The collection laid out by embedding similarity.
Compare
Leaderboards
Benchmark tables, with the paper behind each number.
Datasets
The datasets these papers train and evaluate on.
Tools
Code and libraries released alongside the papers.
Read
Learn
Ordered routes from background reading to current work.
Ask AI
Ask a question and get answers cited to these papers.
Videos
The most-watched talks and lectures in this field.
Packs
Short curated sets built around one question.
Follow
News
Press and coverage tied back to the papers.
Blogs
Author and lab write-ups of their own work.
Newsletter
Email digest of what changed, on a schedule.
Research Radar
Paste an abstract, get matches across every collection.
Yours
Saved
Papers you bookmarked in this browser.
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
Ask AI
Stephan Rasp — most-cited papers & profile · Time Series
← authors
·
overview
Stephan Rasp
9
papers ·
0
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
An Operational Deep Learning System for Satellite-Based High-Resolution Global Nowcasting
2025
Deep learning to represent sub-grid processes in climate models
2018
Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling
2019
WeatherBench: A benchmark dataset for data-driven weather forecasting
2020
Towards Physically-consistent, Data-driven Models of Convection
2020
Climate-Invariant Machine Learning
2021
Increasing the accuracy and resolution of precipitation forecasts using deep generative models
2022
WeatherBench 2: A benchmark for the next generation of data-driven global weather models
2023
Neural General Circulation Models for Weather and Climate
2023
Top co-authors
Pierre Gentine
· 4
Michael Pritchard
· 3
Tom Beucler
· 3
Aaron Bell
· 2
Alvaro Sanchez-Gonzalez
· 2
Ian Langmore
· 2
Janni Yuval
· 2
Peter Battaglia
· 2
Shreya Agrawal
· 2
Stephan Hoyer
· 2
Aditya Prakash Kakkirala
· 1
Alexander Merose
· 1
Topics
Domain — Energy/Weather
cs.LG
physics.ao-ph
Linear & Patch Models
Foundation Models
Probabilistic
stat.ML
stat.AP
cs.AI
physics.comp-ph