Climate Science, Machine Learning, Earth System Modeling, High Performance Computing
Joined May 2010
- Tweets 20
- Following 50
- Followers 55
- Likes 10
2 Photos and videos
27 Apr 2023
I'm heading to the Austrian Academy of Sciences for the #egu2023 public lecture presenting our AI/ML research at #DKRZ in downtown Vienna
oeaw.ac.at/en/detail/event/k…
6
368
Christopher Kadow retweeted
15 Feb 2023
What is CLINT doing? An #AI framework composed of #MachineLearning techniques & #algorithms to process big climate datasets for improving #ClimateScience in the detection, causation, and attribution of #ExtremeEvents
Discover more with @hydroaholics
youtu.be/BvJiHvwFfsg
8
21
920
Christopher Kadow retweeted
6 Oct 2022
The CLINT #GeneralAssembly just started with @hydroaholics opening & welcoming 50 participants from 15 institutions, meeting today in Villa del Grumello on the Lake Como shores to discuss how to improve #ClimateScience & #ClimateServices for #extremes using #MachineLearning #AI
11
17
30 Sep 2022
Today #EWK ! Presenting our DKRZ AI/ML technology on diverse climate and weather applications done on our new high performance computer - Extreme Weather Congress in Hamburg
1
2
23 Sep 2022
We have an exciting job vacancy for a Computational Research Scientist / Software Engineer (all genders) using machine learning techniques to apply Super-Resolution on ocean model output in our AI/ML group. Pls share.
See details:
dkrz.de/en/about-en/vacancie…
Christopher Kadow retweeted
30 Aug 2022
Postdoc opportunity to study Explainable AI (#XAI) for Weather and Climate Science with the Barnes Group! Backgrounds in machine learning and/or geoscience are both welcome - but desire to work in weather climate is required! Open until filled. Please RT. shorturl.at/wyU23
1
75
176
Christopher Kadow retweeted
26 Aug 2022
❗Climate Intelligence 👉 designing new #MachineLearning #algorithms to process big climatological data sets to strengthen EU climate-related policies.
#AI
Discover more: climateintelligence.eu/proje…
1
4
23 May 2022
Looking forward to start in-person @EuroGeosciences today! #EGU22 I've prepared some colorful slides for the evening event - see you there @EGU_ESSI
Today at #EGU22 #vEGU22
Ian McHarg Medal Lecture by Mikhail Kanevski & ESSI Division Outstanding ECS Award Lecture by Christopher Kadow
19:00–20:00 (CEST)
meetingorganizer.copernicus.…
#ArtificialIntelligence #MachineLearning
2
2
30 Nov 2021
It is so cool to be part of the @NVIDIA I-AM-AI video! #DKRZ @NVIDIAGTC Details behind the 7 seconds: rdcu.be/b4ysS
youtube.com/watch?v=EDQeVhG-…
2
5 Oct 2021
Indeed!
5 Oct 2021
We are speechless!🎉🙃😃🎉🎉🙃😃🤗🙃☺️🙃🙂😄🎉#NobelPrizePhysics 2021 😀🙃🎉☺️Klaus Hasselmann @MPI_Meteo😃🎉😃😀🙃😀🎉😊🙂🙃😀😄🎉@maxplanckpress🙂🙂🙂🙂🙂🙂🙂🙂🙂🙂🙂🙂🙂🙂🙂🙂🙂🙂🙂🙂🎉🙂🎉☺️🙃🎉🙂😀☺️🙃🎉🙂😀☺️🙃😀🙃😂😀🎉 😊🙂🙃😊😀😊🙃
Christopher Kadow retweeted
18 Aug 2021
I am happy to share our Perspective Paper on the future of #MachineLearning in Earth and #climate sciences, which has been published in @NatMachIntell! @ClimateChangeAI rdcu.be/cuyuV
7
11
ClimateChange 2021: the Physical Science Basis - provides the most updated physical understanding of the climate system and #climatechange, combining the latest advances in climate science, and multiple lines of evidence.
➡️ bit.ly/WGICC2021
➡️ bit.ly/WGICC2021PR
278
4,863
6,823
30 Apr 2021
Getting ready to present and discuss our ML@Climate study on infilling missing observations (rdcu.be/b4ysS) at #vEGU21: Machine learning for Earth system modelling 11am (EGU time)
meetingorganizer.copernicus.…
@EGU_Atmos @EGU_ESSI @EGU_Climate @NVIDIAAI
#MachineLearning
1
3
14 Dec 2020
Going forward! Next step: adding some ML...
Christopher Kadow retweeted
8 Oct 2020
Day #4 at @ECMWF @ESA_EO ws on Machine Learning for Earth System Observation & Prediction: Happy to have chaired WG Observations with Alan Geer! (with @rochelle_sds, @ckadow and many others)
Feedback about SOA, impact and challenges in the livestream: ecmwfevents.com/i/e1f887db-5…
3
10
Christopher Kadow retweeted
28 Aug 2020
Have a look at our new study published in Geophysical Research Letters: #ArtificialIntelligence learns continental hydrology from satellite observations and numerical modelling. #GRACE #GRACEFO #AGUpubs @theAGU agupubs.onlinelibrary.wiley.…
1
1