Peter Battaglia ✓
@PeterWBattaglia · joined 10 Oct 2013
Research Scientist, DeepMind
21 063Followers
347Following
139Posts total
287.9KViews on collected posts
Latest posts
Looking for new posts…
It’s been an amazing few years for AI weather forecasting, and it was a pleasure to chat about it with @FryRsquared for the @GoogleDeepMind podcast.
We spoke about the real-world impact it’s having now, like our work with the National Hurricane Center, and forecasting of https:/
393 views · 8 likes
· 1 reposts · 1 replies
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1:02
I’m excited to share WeatherNext 3, our most powerful AI forecasting model yet.
WeatherNext 3 generates forecasts each hour and at high-resolution, giving timely and more localized predictions. It’s trained on new data sources, like live satellites, and achieves state-of-the-art
12.5K views · 213 likes
· 24 reposts · 10 replies
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@PeterWBattaglia @GoogleDeepMind @GoogleResearch But can it actually predict the weather correctly?
905 views · 3 likes
· 0 reposts · 0 replies
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We're announcing a major update to Weather Lab, our interactive website for sharing Google’s AI weather models from @GoogleDeepMind and @GoogleResearch: https://t.co/7vCH7Qw2Fo https://t.co/EOnX9Ubjb5
180.9K views · 1.4K likes
· 200 reposts · 46 replies
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0:20
Here's what's new:
🌎Global weather forecasts from WeatherNext 2 and MetNet
📅Historical forecasts up to 15 days ago
📍Point forecasts for a specific location
🌀View cyclone tracks alongside weather forecasts
💧Maps for temperature, precipitation, pressure and wind speed
4.4K views · 24 likes
· 2 reposts · 2 replies
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@PeterWBattaglia La dependencia de las cadenas de suministro y grids energéticas en predicciones precisas es masiva. Un error de horas en el forecast puede costar millones. WeatherNext 2 convirtiendo esto en ciencia exacta en minutos es el tipo de aplicación de IA que realmente i
243 views · 1 likes
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Now available on Earth Engine, BigQuery, and soon Vertex AI, WeatherNext 2 generates hundreds of weather scenarios 8x faster with hourly resolution, beating our previous model on 99.9% of targets.
Huge thanks to the @GoogleDeepMind and @GoogleResearch teams!
2.5K views · 21 likes
· 2 reposts · 1 replies
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We rely on accurate weather predictions for critical decisions - from supply chains to energy grids to crop planning. AI is transforming how we forecast weather.
Thrilled to share WeatherNext 2 - our latest work in groundbreaking forecasting technology!
Learn more:
66.5K views · 226 likes
· 31 reposts · 10 replies
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We're hiring a Research Engineer in AI for Sustainability @GoogleDeepMind (San Francisco / Mountain View).
Seeking strong engineers at the interface of machine learning, environmental sustainability, weather, dynamical systems, and/or remote sensing: https://t.co/DqpCe2hUGr
19.6K views · 156 likes
· 24 reposts · 8 replies
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Against accounts of the same size
5 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.
Median views4 435this account949median for 10K–100K
Reach, %21.06%this account3.31%median for 10K–100K
Engagement, %0.90%this account1.88%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 4 435 | 949 | 4.67× |
| Reach (views ÷ followers) | 21.06% | 3.31% | 6.36× |
| Engagement rate | 0.90% | 1.88% | 0.48× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
19.6K24 Mar
66.5K17 Nov
2.5K
243
4.4K17 Jul
180.9K
905
12.5K3 Sep
3939 Sep
Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.96%24 Mar
0.40%17 Nov
0.98%
0.41%
0.63%17 Jul
0.90%
0.33%
1.98%3 Sep
2.54%9 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.88%.
What the audience does
Likes56.5%2 039 in total
Reposts7.9%284 in total
Replies2.2%78 in total
Bookmarks33.4%1 205 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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