Frederik Kratzert

I present the most interesting graph ever made.

HUMAN ON BICYCLE beats every other living thing.
www.scientificamerican.com/article/a-hu...

Interesting read and something I have been thinking about recently. How fit is our education system for the new era and what does this mean for _learning_ (especially learning to learn), if students/pupils over rely on LLMs. What does this mean for my kids (2nd grade and kindergarten)...?

What are your thoughts on this article. It also has been a while since I came across Tim's name, but I remember from my early days of ML how he was already publishing hardware benchmarks for ML setups and that I read them carefully whenever I upgrade my home setup.

Some updates on NeuralHydrology and I'll also use this opportunity to give a shout-out to @gauchm.bsky.social for his continuous support and maintenance of NH

Are you working in large-sample hydrology?

If so, we invite you to submit an abstract to our session for EGU 2026:

HS2.4.2 "Large-Sample Hydrology: Advancing dataset developments, enhancing process understanding, and unifying insights through catchment modeling"

Dezember 8, 2025 :)

Or, if your model outputs uncertainty bounds, at least you learn/model the uncertainty of the task that you care about.

For those of you who are still undecided.

Stuffed Fables Live the story of a child's stuffed toys, saving her from monsters under the bed.

We (wife, 7 y/o, myself) spent New Years Eve playing "Stuffed Fables"

boardgamegeek.com/boardgame/23...

My wife's first roleplay game and also the most complex game we played so far with our oldest. Time was flying and we only made it to the start of the second chapter 😅

No, I was not thinking about FM models in this context. One easy example: if you want a model that forecasts flood warnings, why train the model to predict streamflow? Under ideal conditions, you could simply train the model to forecast "send alert/ no alert"

Hydrology Paper of the Day @kratzert.bsky.social on integrating water quality observations into the Caravan dataset: the need for proper metadata and processing of observations; a new river network with water quality stations; catchment delineation; and validation and flagging of suspect data.

Interesting point. I've been thinking about this as well in the past and I think, especially with ML, we have the opportunity to optimize for what we really want to know from the model, instead of training it on some proxy task

game screenshot showing an amsterdam-like city with the title "tramstertram" above it

since everyone in Brazil's lost Twitter, I'm gonna try to make sure anything I post there is posted here too 🥲
here's a free building game I shared there a few weeks ago! mattstark.itch.io/tramstertram

Very cool. Congratulations and surely deserved 💐

the success of the user-created For You feed while the official Discover feed flops is actually a pretty major win for Bluesky — it literally is the embodiment of their goal to decentralize feed generation and give users more control/autonomy

Kid #2 got sick in time for Christmas and it seems I caught whatever he has, too. For the last three years we had at least one kid sick at Christmas.

Happy Holidays 🎄

A world map with red and blue dots. Each dot denotes a water quality measurement station that is included in Caravan-Qual. Red dots are stations with additional streamflow observations. Blue dots are stations without streamflow observations.

Excited to unveil Caravan-Qual! 🌊

We've expanded the Caravan framework to bridge the gap between water quantity and quality.

This new open dataset features: 🔹 ~70M observations 🔹137k stations 🔹 100 constituents 🔹 Linked streamflow, forcing & attributes

Links in 🧵

All credits for data collection and standardizing go to Ed. He did all of the hard work!

@rarakihydro.bsky.social leads an exiting new preprint that maps dominant hydrologic processes across >14k US watersheds using streamflow signatures + ML. It’s been such fun following Ryoko and Hilary’s leadership alongside Admin, Anne and Gemma.

egusphere.copernicus.org/preprints/20...

It is so wild how all academics seem to have decided that LinkedIn is the new platform. Essentially the same announcement receives 100x the engagement.. On a job market platform.

In the good old days of Twitter, this was different and it's kinda sad that not more researchers decided to join BlueSky

Right?

📦 Full Data: doi.org/10.24416/UU0...
📂 Lite (CSV): zenodo.org/records/1778...
💻 Code: github.com/SustainableW...

📖Preprint: eartharxiv.org/repository/v...

#OpenScience #Hydrology #WaterQuality

A world map with red and blue dots. Each dot denotes a water quality measurement station that is included in Caravan-Qual. Red dots are stations with additional streamflow observations. Blue dots are stations without streamflow observations.

Excited to unveil Caravan-Qual! 🌊

We've expanded the Caravan framework to bridge the gap between water quantity and quality.

This new open dataset features: 🔹 ~70M observations 🔹137k stations 🔹 100 constituents 🔹 Linked streamflow, forcing & attributes

Links in 🧵

First time in years that I won't attend #AGU

Inspiring week for everyone who attends and I hope you all stay safe.

This looks amazing 😲

Deserved first bookmark on bluesky

Back by popular demand: At #EGU26 we'll organize another BUGS session: Blunders, Unexpected Glitches, and Surprises!

Submit abstracts on ideas that seemed great but didn't work, errors and bugs that led to new insights (or funny stories), or any other unexpected results.

www.egu26.eu/session/56997

Quick shout-out for an #EGU26 session that I'm not involved in but think is worth sharing:

EOS4.4 BUGS: Blunders, Unexpected Glitches, and Surprises

For a detailed session description, see www.egu26.eu/session/56997

Wow, so cool. Congratulations to her achievement

Haha :)

What do people do when their taxi driver is a) speeding like crazy and b) interacting with his phone all the time while driving. Not sure if I'm unlucky but this happens 4/5 times to me when taking the airport taxi back home...