Mark Muetzelfeldt retweeted
V proud to finally share this new analysis
Revealed: How colonial rule radically shifts historical responsibility for climate change
🇺🇸 530GtCO2
(🇪🇺+🇬🇧 478, +28%)
🇨🇳 309
🇷🇺 239 +41%*
🇬🇧 130 +70%
🇧🇷 115
🇩🇪 92
🇮🇳 74 -15%
🇯🇵 73
🇮🇩 68 -24%
—
🇳🇱 35 +181%
🧵
carbonbrief.org/revealed-how…
Mark Muetzelfeldt retweeted
My story is pretty straightforward - the UAE planned to use the COP28 climate talks to make oil deals. bbc.co.uk/news/science-envir…
Mark Muetzelfeldt retweeted
Heard about all them new-fangled AI NWP systems like "GraphCast", "PanguWeather", and "FourCastNet" and want to try them out yourself? Let me help you with that -> github.com/darothen/ai-model…
This is just a quick preview release; see README for details. Feedback very welcome!
Mark Muetzelfeldt retweeted
📢PhD studentship alert! An exciting opportunity to study the role of wetlands during flood events over East Africa using satellite data with the INFLOW team at @UniofReading and @Makerere ! Deadline 15th Dec. #PhD findaphd.com/phds/project/un…
Mark Muetzelfeldt retweeted
We're hiring at DMI in my group 🚀🛰️🌍😀! If you're into scientific machine learning and/or atmospheric fluid dynamics come work with me and the rest of the team in Copenhagen 🇩🇰
ML: candidate.hr-manager.net/App…
NWP: candidate.hr-manager.net/App…
#weather #MachineLearning
Mark Muetzelfeldt retweeted
New article about #WesCon2023, our exciting convection field campaign which took place this summer.
Did you hear about our campaign in the clouds to improve forecasts of extreme weather in the UK?
#WesCon2023 involved 30 days of intense observations to enhance our understanding of convection 🌧️
Learn more ⤵️
@metoffice @NERCscience @faam146 @Paul_bazBarrett
Mark Muetzelfeldt retweeted
Fully-funded @SCENARIO_DTP PhD project on boundary layer #turbulence over mountains.
Co-supervised with Bob Plant @UniRdg_Met , Steve Derbyshire @metoffice and @ivyintheclouds @uniinnsbruck.
Partnership with teamx-programme.org/.
Deadline: 12/1/2024
research.reading.ac.uk/scena…
Mark Muetzelfeldt retweeted
Khalil was a researcher who drew attention to the impacts of climate change on the Gaza Strip before being killed by Israel’s bombs
climatechangenews.com/2023/1…
Mark Muetzelfeldt retweeted
"Escape From Model Land" is coming out in #paperback next week - if you've been waiting and haven't ordered it yet, now's a good time! Also in #hardback, #Kindle and #audiobook for every kind of reader...
Lovely cover too, ideal Christmas gift for that hard-to-buy-for relative!
Mark Muetzelfeldt retweeted
Curious why GPM data products have stopped flowing? This is because on Nov 7-8 the spacecraft was 'boosted' to a higher orbit to hopefully extend GPM's lifetime till the 2030s. Data should start flowing again next year. Read more about it here: gpm.nasa.gov/missions/gpm/or…
Mark Muetzelfeldt retweeted
As the police in central London work to contain the far-right, and everyone starts to blame Suella Braverman, just remember who chose to not only give her the job but also chose not to sack her.
Rishi Sunak is as, if not more, responsible for what happens today.
Mark Muetzelfeldt retweeted
Why stable cross-party consensus on climate policy is so important to ensure certainty and inward investment into the UK.
From my speech in Parliament yesterday:
Mark Muetzelfeldt retweeted
If yo use Python, you're a Pythonista. Please fill out the PSF's annual Python Developers Survey here: survey.alchemer.com/s3/75541…
Mark Muetzelfeldt retweeted
October 2023 wasn't just the warmest October on record, it was the moistest on record too...
You have probably heard about October 2023 being the warmest October on record by a wide margin, but what about atmospheric moisture? 💧
A warmer world is a moister world and that's evidenced by a weather variable called "total column water" or "precipitable water", the total moisture amount in a column of air, from the ground all the way up to the top of the atmosphere.
In October 2023, total column water was above normal across 67% of the planet, shaded blue (🔵) on this map.
Higher atmospheric moisture content loads the dice toward extreme rainfall events 🌧️
We track global monthly temperature rankings in near real-time, so why not atmospheric moisture too?
To help bridge this gap, I am making available a global moisture anomaly map and ranking chart, updated once a month around the 7th.
🗺️ Global atmospheric moisture anomaly map: raw.githubusercontent.com/Be…
📈 Global atmospheric moisture ranking chart: raw.githubusercontent.com/Be…
Using the links above, you are welcome to download the high resolution imagery and/or embed the graphics on a webpage.
Happy moisture tracking!
Mark Muetzelfeldt retweeted
FINAL CALL! Closing date: 31 October
Seeking a PostDoc to work on theory, data processing and numerical modelling of fluid flow instability and turbulence generation, at @UniRdg_Met, in partnership with @metoffice and @uniinnsbruck. Closing date: 31/10/2023. More details & application link: jobs.reading.ac.uk/Job/JobDe…
Mark Muetzelfeldt retweeted
Replying to @PaulKnightley
Yes, Paul- this was a compelling and fascinating event to study! The result was my presentation at the #AMS20Meso conference:
ams.confex.com/ams/WAFNWPMS/…. I'll be posting some new imagery from this event in the @TorroUK forum later today! @markmuetz
Mark Muetzelfeldt retweeted
Didn't even occur to check until @danholley_ mentioned it, it's actually the wettest month on record for any month, beating November 1970 (156.2mm). And we are only 2/3 through!
#Rainfall at #Wattisham in #Suffolk off the scale... up to 196.4mm for the month so far now (not including today), trashing the old #October record of 138.7mm dating back to 1960. #StormBabet
@danholley_
Mark Muetzelfeldt retweeted
Unfortunately Brechin flood defences were overtopped in the early hours of the morning.
Completed in 2016, they protect against 1 in 200 year flood and were hailed as a scheme to protect the town for generations to come.
Not in today’s climate I’m afraid.
Why on earth have I just found out about @matplotlib constrained layouts - matplotlib.org/stable/users/…? All your subplots with no overlapping titles, ticks, xlabels etc. So useful and works nicely with plt.subplot_mosaic.


































