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Peter Pfleiderer

@klimapeter.bsky.social

Climate researcher at Leipzig University - Climate Causality & Attribution group (https://lim-climate-causality.github.io) interested in atmospheric circulation and weather extremes | cloud lover

585 Followers  |  160 Following  |  72 Posts  |  Joined: 17.10.2023  |  2.0743

Latest posts by klimapeter.bsky.social on Bluesky

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How well can we quantify when 1.5 °C of global warming has been exceeded? Abstract. Parties to the 2015 Paris Agreement agreed to limit the long-term increase in global average temperature to well below 2 °C and pursue efforts to keep temperatures below 1.5 °C relative to p...

New discussion paper just dropped that’s taken shall we say a little work to get this far … essd.copernicus.org/preprints/es... please be kind. Not on an at all sensitive topic in the slightest.

28.01.2026 08:48 — 👍 127    🔁 68    💬 8    📌 6
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D & A style attribution with fair and HadCRUT5 updated to 2025 (emissions extrapolated beyond 2022, but should make little difference)

[code: github.com/chrisroadmap...

27.01.2026 13:56 — 👍 18    🔁 5    💬 1    📌 0

Very nice, thanks for doing this! Can you quickly explain why the natural forcing is generally positive except a few dips?

27.01.2026 15:31 — 👍 1    🔁 0    💬 1    📌 0

This was a joint effort with:
Anna Merrifield, István Dunkl, Homer Durand, Enora Cariou, Julien Cattiaux, Gustau Camps-Valls, @sebastian-sippel.bsky.social

15.01.2026 08:50 — 👍 3    🔁 0    💬 0    📌 0

Decomposing a temperature signal into a "thermodynamic" and a "circulation-induced" part is a strong simplification and designing a benchmark dataset (-> nudged simulations) is not straight forward. A summary of our discussion on these challenges is in the paper. We are looking forward to your ideas

15.01.2026 08:50 — 👍 3    🔁 0    💬 1    📌 0

The decomposition methods adequately identify the spatial trend pattern. However, they all tend to underestimate the magnitude of the trend pattern. This shows that such evaluation efforts are crucial: By just comparing different methods we cannot identify biases that they all share.

15.01.2026 08:50 — 👍 3    🔁 0    💬 1    📌 0
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We evaluate the statistical and machine learning decomposition methods against nudged circulation simulations: we apply the decomposition to a freely running simulation and compare it's estimated dynamical component to a simulation without GHG forcing but circulation nudged to the tested simulation

15.01.2026 08:50 — 👍 3    🔁 0    💬 1    📌 0
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Emerging Climate Change Signals in Atmospheric Circulation Long term trends in atmospheric circulation are emerging across different regions and seasons with some attributed to human activities Many circulation signals have been linked to dynamical mecha...

We do not investigate to which extent this circulation induced warming is forced. Given that a changes in atmospheric circulation have been attributed to climate change, we assume that part of this signal is forced. More research is required to quantify the forced part. doi.org/10.1029/2024...

15.01.2026 08:50 — 👍 3    🔁 0    💬 1    📌 0
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Over the period 1979-2023 circulation changes have contributed considerably to the warming of European summers. Over the mid-latitudes, a wavelike pattern is apparent with alternating regions of circulation induced warming and cooling.

15.01.2026 08:50 — 👍 2    🔁 0    💬 1    📌 0
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Considerable yet contrasting regional imprint of circulation change on summer temperature trends across the Northern hemisphere mid-latitudes Abstract. Rising summer temperatures and more frequent heat extremes are well-documented outcomes of anthropogenic climate change. However, the extent to which atmospheric circulation changes contribu...

Summer temperatures have strongly been influenced by circulation changes in the northern mid-latitudes.

In our new study we evaluate and compare 4 statistical and ML methods that decompose trends into a "thermodynamical" and a "circulation induced" part.
wcd.copernicus.org/articles/7/8...

15.01.2026 08:50 — 👍 12    🔁 4    💬 1    📌 1
Graph that shows black dots for the annual average mean temperature (rising from 1970 to 2025) and the underlying contributions from GHGs in various shades of red.

Graph that shows black dots for the annual average mean temperature (rising from 1970 to 2025) and the underlying contributions from GHGs in various shades of red.

5 Panels that schematically show the contribution to the global temperature change during the last 10 years. Red and blue colours indicate warming or cooling contributions

5 Panels that schematically show the contribution to the global temperature change during the last 10 years. Red and blue colours indicate warming or cooling contributions

[...] We consider it more likely that the recent rate of global warming has been larger than anticipated, exceeding both the previous trend and what would be expected when considering only the observed pattern of greenhouse gas emissions.

berkeleyearth.org/global-tempe...

14.01.2026 13:23 — 👍 16    🔁 8    💬 1    📌 0
Multi-dataset comparison of global temperatures from 1850-2025, with 2025 values highlighted in a separate panel for each individual dataset. Baseline is a combination of 1850-1900 means.

Multi-dataset comparison of global temperatures from 1850-2025, with 2025 values highlighted in a separate panel for each individual dataset. Baseline is a combination of 1850-1900 means.

Most 2025 global temperatures are now out (degrees C above 1850-1900 baseline)

1.41 HadCRUT5
1.44 Berkeley
1.46 JRA-3Q
1.47 Copernicus
1.53 DCENT-I

NOAA and NASA GISS values will be public at 2pm UK time and but based on already public Jan-Nov data they will likely be between 1.3 and 1.4 degC.

14.01.2026 10:03 — 👍 94    🔁 57    💬 6    📌 4
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🌡️ 2025 was the third-warmest year on record, with a global average temperature 0.59°C above the 1991–2020 average & 1.47°C above the 1850–1900 pre-industrial level. It was 0.13°C below 2024, the warmest year on record, and only 0.01°C cooler than 2023.
@ecmwf.int

⬇️

14.01.2026 09:02 — 👍 78    🔁 63    💬 1    📌 8

🙀 Don't forget to submit your abstract for #EGU26

And please consider submitting to our nice session on Synoptic and Large-Scale Circulation Dynamics 😻

www.egu26.eu/session/56938

05.01.2026 14:32 — 👍 0    🔁 0    💬 0    📌 0
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I'm to announce our session on Synoptic and Large-Scale Circulation Dynamics at #EGU26

www.egu26.eu/session/56938

... and I'm looking forward to read your abstracts together with
@mittermeierm.bsky.social
Jan Stryhal, Christoph Beck, Ileana Bladé

19.11.2025 16:35 — 👍 3    🔁 2    💬 0    📌 1

great enough :)

05.01.2026 14:28 — 👍 2    🔁 0    💬 0    📌 0

Nice graph! Is the colorscale stopping at 2? 0_o

05.01.2026 07:59 — 👍 0    🔁 0    💬 1    📌 0

Interesting update on SSTs and the state of warming:

15.12.2025 11:27 — 👍 2    🔁 0    💬 0    📌 0
Climate Causality & Attribution

I developed the model as part of my PhD at @climateanalytics.org together with @carlschleussner.bsky.social @marleneclimate.bsky.social and Tobias Geiger in 2020.
Since then, I'm doing the forecasts every year. Now from the climate causality and attribution group (lim-climate-causality.github.io)

20.11.2025 21:48 — 👍 5    🔁 0    💬 0    📌 0
Climate Causality & Attribution

Here is the model the description of the model: wcd.copernicus.org/articles/1/3...

20.11.2025 21:48 — 👍 3    🔁 0    💬 1    📌 0
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2025 was again a severe #hurricane season with 4 major hurricanes (3 cat 5 hurricanes).
In terms of accumulated cyclone energy (ACE) it was slightly above a normal season.
Seasonal forecasts (including ours 🥳) predicted the ACE well this year 💪

20.11.2025 21:48 — 👍 8    🔁 4    💬 1    📌 0
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The slightly above average ACE matches very well with seasonal forecasts 🥳

seasonalhurricanepredictions.bsc.es/forecast/sea...

20.11.2025 21:17 — 👍 1    🔁 0    💬 0    📌 0
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I'm to announce our session on Synoptic and Large-Scale Circulation Dynamics at #EGU26

www.egu26.eu/session/56938

... and I'm looking forward to read your abstracts together with
@mittermeierm.bsky.social
Jan Stryhal, Christoph Beck, Ileana Bladé

19.11.2025 16:35 — 👍 3    🔁 2    💬 0    📌 1

.. and as a fundamental innovation also enabling us to investigate compound hazards.

Great work @shrutinath97.bsky.social @carlschleussner.bsky.social
@klimapeter.bsky.social J. Carreau & P. Naveau

@iiasa.ac.at @lamont.columbia.edu

10.11.2025 13:42 — 👍 7    🔁 1    💬 0    📌 0
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MERCURY: A Fast and Versatile Multi‐Resolution Based Global Emulator of Compound Climate Hazards Climate model emulators traditionally generate global fields amounting to Peta-Bytes of data We introduce the emulator MERCURY, that employs a lifting scheme based on image compression techniques...

Climate emulators are a great tool to explore a wide range of possible climate futures. Here comes MERCURY - utilising the power of image-compression-based techniques for memory-efficient emulation. Fantastic work led by @shrutinath97.bsky.social agupubs.onlinelibrary.wiley.com/doi/10.1029/...

10.11.2025 13:36 — 👍 10    🔁 4    💬 0    📌 1
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“Heat pumps are superior in efficiency to condensing boilers, even if the heat pumps are powered by electricity from a power station burning natural gas.”

Not me saying that but the late Prof Sir David MacKay.

More in my @carbonbrief.org article 👇

interactive.carbonbrief.org/factcheck/he...

09.11.2025 21:05 — 👍 1356    🔁 304    💬 42    📌 9
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METEORv1.0.1: a novel framework for emulating multi-timescale regional climate responses Abstract. Resolved spatial information for climate change projections is critical to any robust assessment of climate impacts and adaptation options. However, the range of spatially resolved future sc...

Want to get gridded temperature and precipitation responses to any future climate scenarios, including overshoot?
--> check out METEOR - a framework for emulating multi-timescale regional climate responses, with Marit Sandstad, Susanne Baur and @benmsanderson.bsky.social.

doi.org/10.5194/gmd-...

06.11.2025 13:28 — 👍 4    🔁 1    💬 0    📌 0
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Hurricanes feed off of warm water. Watch how quickly the eye of #Melissa collapsed as it moved onto land and over the mountainous terrain of Jamaica, and how quickly it is reforming now that it has moved back over water! I will be adding this radar loop to my earth science lectures.

29.10.2025 01:20 — 👍 524    🔁 158    💬 12    📌 11
Screenshot that says "Melissa has passed over waters made 1.4°C warmer, on average, by climate change." and "Climate change made the ocean temperatures along Melissa's path 500 to 900 times more likely." along with a map of Hurricane Melissa's path.

Screenshot that says "Melissa has passed over waters made 1.4°C warmer, on average, by climate change." and "Climate change made the ocean temperatures along Melissa's path 500 to 900 times more likely." along with a map of Hurricane Melissa's path.

To understand the climate connection to Hurricane Melissa, check out our real-time attribution page at @climatecentral.org: www.climatecentral.org/tropical-cyc...

"Climate change made the ocean temperatures along Melissa's path 500 to 900 times more likely."

28.10.2025 15:25 — 👍 355    🔁 185    💬 6    📌 11

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