#EarthSystemModel #modelExperiment #analysis #ClimateChange Van Vuuren et al. 07 Apr 2026, Geoscientific Model Development 19(7):2627-56 The Scenario Model Intercomparison Project for CMIP7 (ScenarioMIP-CMIP7) doi.org/10.5194/gmd-... #climate #ClimateScience

The Scenario Model Intercompar...
The Scenario Model Intercomparison Project for CMIP7 (ScenarioMIP-CMIP7)

Abstract. Scenarios serve as a critical tool in climate change analysis, enabling the exploration of future evolution of the climate system, climate impacts, and the human system (including mitigation and adaptation actions). This paper describes the scenario framework for ScenarioMIP as part of CMIP7. The design process has involved various rounds of interaction with the research community and user groups at large. The proposal covers a set of scenarios exploring high levels of climate change (to explore high-end climate risks), medium levels of climate change (anchored to current policy), and low levels of climate change (aligned with current international agreements). These scenarios follow very different trajectories in terms of emissions, with some likely to experience peaks and subsequent declines in greenhouse gas concentrations in this century. An important innovation is that most scenarios are intended to be run, if possible, in emission-driven mode, providing a better representation of the Earth system uncertainty space. The proposal also includes plans for long-term extensions (up to 2500 AD) to study long-term impacts, climate change-related processes on long timescales, and (ir)reversibility. This proposal forms the basis for further implementation of the framework in terms of the derivation of emissions and land use pathways for use by Earth system models and additional variants for adaptation and mitigation studies.

#EarthSystemModel #modelExperiment #analysis #ClimateChange

Van Vuuren et al. 07 Apr 2026, Geoscientific Model Development 19(7):2627-56

The Scenario Model Intercomparison Project for CMIP7 (ScenarioMIP-CMIP7)

https://doi.org/10.5194/gmd-19-2627-2026

#climate #ClimateScience

The Scenario Model Intercomparison Project for CMIP7 (ScenarioMIP-CMIP7)

Abstract. Scenarios serve as a critical tool in climate change analysis, enabling the exploration of future evolution of the climate system, climate impacts, and the human system (including mitigation and adaptation actions). This paper describes the scenario framework for ScenarioMIP as part of CMIP7. The design process has involved various rounds of interaction with the research community and user groups at large. The proposal covers a set of scenarios exploring high levels of climate change (to explore high-end climate risks), medium levels of climate change (anchored to current policy), and low levels of climate change (aligned with current international agreements). These scenarios follow very different trajectories in terms of emissions, with some likely to experience peaks and subsequent declines in greenhouse gas concentrations in this century. An important innovation is that most scenarios are intended to be run, if possible, in emission-driven mode, providing a better representation of the Earth system uncertainty space. The proposal also includes plans for long-term extensions (up to 2500 AD) to study long-term impacts, climate change-related processes on long timescales, and (ir)reversibility. This proposal forms the basis for further implementation of the framework in terms of the derivation of emissions and land use pathways for use by Earth system models and additional variants for adaptation and mitigation studies.

So, #ClimateSky, solve an argument between co-authors: When writing a paper specificalyy using outputs from #CMIP6 models, do you prefer to use GCM or ESM as descriptor? #GlobalClimateModel #EarthSystemModel
Ancient lakes and rivers unearthed in Arabia's vast desert

The desert that we see today in Arabia was once a region that repeatedly underwent "green" periods in the past, as a result of periods of high rainfall, resulting in the formation of lakes and rivers about 9,000 years ago.

What if we could start a weather simulation and let it run over seasons, years, decades, centuries ...
This is at the heart of the ICON-Seamless Project developing a new #EarthSystemModel suitable for #weather and #climate forecasts.

This new ICON-XPP model is our working horse for the upcoming CMIP7 climate projections. It will also remain the horse we are working on 😉

At an all-hands workshop at the Seewetteramt #Hamburg last week we discussed progress and challenges.
@DeutscherWetterdienst

Please spread this #Job Opening in my group at Universität #Hamburg: Postdoctoral | #Research Associate in the Project “CAP7”.

The focus is to enhance the representation of ocean biogeochemical processes, carbon-climate feedbacks, and ocean carbon storage under changing emissions in the new generation #EarthSystemModel ICON-XPP.

These novel simulations will contribute to #CMIP7 and the next #IPCC assessment of #climatechange.

See how to apply 👇
https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=2e0d47c3b6870aeb6c73a893985cc286d4d924d6

Ausschreibung

Acceleration of #climatechange is taking place due to our failure to cut increasing CO2 emissions.

Any impact of Arctic coastal #permafrost erosion on the global #climate through increasing atmospheric CO2 concentrations until 2100 is comparatively small.

Yet, this new #EarthSystemModel component allows for a better quantification of the carbon budget, necessary for carbon monitoring under #decarbonisation .

Read more in this press release 👇
https://www.uni-hamburg.de/en/newsroom/presse/2024/pm40.html
#ilyinaScience

In years to come, the Arctic Ocean will absorb less CO2 than expected

In a #newpaper from my group, led by David Nielsen, we incorporated coastal permafrost as a new component of an #EarthSystemModel.

This allowed us to quantify that #coastal #permafrost erosion weakens the Arctic Ocean #CO2 uptake from the atmosphere by 7-14%.

This exerts a positive biogeochemical feedback on #climate, increasing atmospheric CO2 by 1–2 TgC yr−1 per °C of increase in global surface air temperature.

Find out more here👇
https://www.nature.com/articles/s41558-024-02074-3
#ilyinaScience

Reduced Arctic Ocean CO2 uptake due to coastal permafrost erosion - Nature Climate Change

The rate of Arctic coastal permafrost erosion is predicted to increase up to 3 times by 2100. Here the authors model how organic matter released from coastal permafrost erosion will reduce the CO2 sink capacity of the Arctic Ocean and lead to positive feedbacks on climate.

Nature

"Collaboration instead of academic competition" - my motto for the interview on the recent World Climate Research Program Workshop - "a climate modeling summit" - which we hosted in Hamburg. Find out why I believe so👇

https://www.cliccs.uni-hamburg.de/about-cliccs/news/2024-news/2024-05-03-esmo-meeting.html

#EarthSystemModel #climatescience #WCRP

Hamburg Hosts Climate Modelling Summit

The first WCRP-ESMO meeting took place in Hamburg, where Earth System Modelling Scientists talked about their future research. An interview with Professor Tatiana Ilyina.

Universität Hamburg

What happens after a snowball Earth melts?

With the new #EarthSystemModel ICON, we find that the supergreenhouse climate was not necessarily a stable and hot climate over hundreds of thousands of years. It is also possible that the temperatures were moderate and even declined rapidly, on a time scale of just a few thousand years, in response to changes in the ocean C-cycle.

Find out in this news piece👇
https://mpimet.mpg.de/en/communication/news/was-passiert-wenn-eine-schneeball-erde-schmilzt

with more details in our new paper👇
https://doi.org/10.1038/s41467-024-47873-6

What happens after a snowball Earth melts?

When a snowball Earth deglaciates, the planet transitions rapidly into a hot "supergreenhouse" climate that persists for a hundred thousand years or more - according to the classic snowball Earth theory. In a new publication, MPI-M scientists Lennart Ramme, Tatiana Ilyina and Jochem Marotzke show that this concept is too simplified, as the ocean transformations after a snowball Earth drive strong carbon cycle dynamics, which alter the evolution of atmospheric CO2. In fact, scenarios ranging from a rapid decline to a further intensification of the supergreenhouse climate are possible, depending on the chemical conditions at the start of the snowball Earth deglaciation.