#earthsystemmodels — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #earthsystemmodels, aggregated by home.social.
-
💡 New Paper!
Can AI improve how #EarthSystemModels represent clouds? ☁️We present a hybrid ML radiation scheme that learns the radiative impact of subgrid-scale clouds from 5 km storm-resolving simulations while retaining a conventional physics-based clear-sky calculation.
✅ 4–10× lower errors than conventional coarse-resolution radiation schemes.
A promising step toward more accurate next-generation Earth System Models.
👉 https://doi.org/10.5194/gmd-19-3875-2026 -
Study Highlights Growing Importance Of Multi-Day Storms In Future U.S. Flood Risk
--
https://news.okstate.edu/articles/engineering-architecture-technology/2026/study-highlights-growing-importance-of-multi-day-storms-in-future-u.s.-flood-risk <-- shared technical article
--
https://doi.org/10.1088/2752-5295/ae4f14 <-- shared paper
--
“Extreme rainfall is projected to intensify as the climate warms, yet whether the greatest increases will occur in multi-day or single-day events remains uncertain. This knowledge gap is particularly pressing given recent catastrophic floods triggered by multi-day rainfall events, prompting the question of whether multi-day events could, in fact, intensify more than their daily counterparts, and by how much. This study addresses this question using an ensemble of 34 downscaled Earth System Models under two Shared Socioeconomic Pathways (SSP2-4.5 and SSP5-8.5), focusing on changes in extreme rainfall by the end of the century across ten regions of the contiguous United States. [Their] statistical framework evaluates model agreement, ensemble-mean changes, and the significance of these changes for both daily and multi-day rainfall extremes. Results show that extreme rainfall amounts are expected to increase for most regions and durations. The degree of intensification, however, depends strongly on event rarity and regional climate characteristics. Notably, in the U.S. western Gulf Coast region, very rare multi-day events (e.g., 500 year return period) are projected to intensify more than their daily counterparts, a phenomenon that could be explained by increased stalling of tropical cyclones, which can prolong heavy rainfall over multiple days. These results challenge the assumption that daily extremes dominate future risk and highlight the need to consider event duration when updating flood-hazard maps, design standards, and adaptation planning…”
#Flooding #FloodRisk #FloodInsurance #FloodAwareness #Explore #FloodPreparedness #FlashFlooding #ClimateResilience #climatechange #extremeweather #DisasterPreparedness #StormwaterManagement #FloodSafety #CommunityResilience #risk #hazard #model #modeling #floodrisk #multiday #rainfall #precipitation #storm #water #hydrology #hydrography #planning #policy #regulations #climatemodel #CONUS #USA #publicsafety #cost #economics #damage #loss #infrastructure #spatiotemporal #spatialanalysis #earthsystemmodels #forecasting #meteorology #designstandards #floodmapping #mitigation #flood -
3 days, 9 models, 1 goal: benchmarking mortality in #EarthSystemModels 🌍
From data & model overviews to hands-on coding sessions, we worked toward a shared framework, common metrics, and first results for a joint paper.
Great collaboration across teams & time zones! 🚀
-
Integrating Characteristic Arctic Vegetation In A Land Surface Model Improves Representation Of Carbon Dynamics Across A Tundra Landscape
--
https://doi.org/10.1029/2025JG009039 <-- shared paper
--
[ https://doi.org/10.3390/land14091839 <-- shared paper ]
--
#tundra #arctic #vegetation #spatialanalysis #arcticwarming #warming #climate #carbon #carbonsink #carbonsource #carbondynamics #carboncycle #EnergyExascale #earthsystemmodels #ESM #model #modeling #plant #functional #PFT #Alaska #Seward #Peninsula #casestudy #biomass #ecosystem #remotesensing #scaling #drone #aircraft #insitu #GIS #spatial #sampling #earthsystem -
#AI4PEX postdoc position available at @unituebingen developing #MachineLearning approaches to improve #EarthSystemModels!
👉Join our team: https://uni-tuebingen.de/de/290466
-
🌍 New series: Meet the #EarthSystemModels powering our project!
Over the next weeks we’ll share 5 unique #ESMs — what makes them special, the science they enable, & how we’ll advance them.
🚀 ICON-ESM, UKESM, CNRM-ESM, EC-EARTH, IPSL-CM.
-
💡 New paper!
Droughts are complex hydrometeorological phenomena driven by large-scale land–atmosphere feedbacks. Using a new parametric calibration algorithm improves Deep Learning framework reliability in drought detection as showcased on European drought events.👉 Find out more: https://www.sciencedirect.com/science/article/pii/S1569843225002109
-
🚀 First General Assembly for #AI4PEX in Lund!
Last month partners from across Europe met to advance #EarthSystemModels with #AI, #ML & #EarthObservation. 4 days packed with:
✨ Shaping benchmarking tools
🛠 Reviewing progress & syncing milestones
🌍 Boosting outreach & community building
🤝 Hands-on collaborationBig thanks to Lund University for hosting & to all driving this forward!
👉 www.ai4pex.org -
💡 New Paper Out!
#MachineLearning (ML) improves #EarthSystemModels, but explaining its added value is tough. Inspired by climate model hierarchies, we propose using Pareto-optimal models to distill ML's added value in representing cloud cover, radiative transfer and tropical precipitation.
👉 Find out more: https://arxiv.org/abs/2408.02161#
#ClimateResearch -
What are the climate models we are working on? Land model number 3:
ORCHIDEE (Organising Carbon and Hydrology In Dynamic Ecosystems), the land surface model of the IPSL #EarthSystemModels, where our focus is especially on the hydrological processes.
👉 Learn more: https://buff.ly/83X23ho -
What are the climate models we are working on? Let’s start with the land models:
JULES, the Joint UK Land Environment Simulator: a community land surface model that can be coupled to the Met Office Unified Model where we will build high-dimensional emulators to calibrate land surface behavior.
👉Learn more: https://buff.ly/ZJY5eZJ -
What are the climate models we are working on? Let’s start with the land models:
LPJ-GUESS from Lund University, is a process-based dynamic vegetation-terrestrial ecosystem model where we focus on forest dynamics.
👉 Learn more: https://buff.ly/kJQxy5H -
📢Exciting news! #AI4PEX is now on Bluesky!
👉Connect with us at ai4pex.bsky.social for the latest project news and stay up to date with our research.
#ClimateResearch #HorizonEU #Bluesky #EarthObservation #EarthSystemModels
-
It's a powerful endorsement of model fidelity and utility when such features emerge as a natural result of model operation.
"CMIP6 models and ECCO are in agreement at the surface with supergyres connected across all basins but present some differences at depth in both position and strength."
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2024JC021140?af=R
-
#AI4PEX research focus 2: Model Development
To develop better #EarthSystemModels we will expand the use of #EarthObservation in combination with #MachineLearning. We focus on explainability of #AI models and causality to better identify model-observations mismatch.
-
#AI4PEX research focus 1: #EarthObservation
We use existing in-situ observations and satellite data to generate new upscaled #MachineLearning-based products, and cross-check for with the #Copernicus land, ocean and atmospheric datasets.
-
🌊Nowadays, #EarthSystemModels allow #ClimateScientists to simulate various ocean processes, including swirling currents called eddies. This advancement is thanks to improved model resolution🌀
🔎Studying high-resolution simulations is crucial for understanding #ocean dynamics. A recent blog post, for example, explored a study that sheds light on how human-induced #ClimateChange impacts #OceanEddyActivity
🤔 Intrigued? Read our full article here: https://buff.ly/49mc7iw
-
🌐 Global simulations developed by #nextGEMS at the km scale are being used to understand critical Earth System dynamics in the land-based water cycle. These simulations capture details like rainfall patterns and the resulting river discharges🌧️ , which serve to evaluate the water balance of specific regions, such as the Rhine basin.
📽️ Learn more about our #EarthSystemModels in this Science Explainer.
-
📣 #AI4PEX just launched its new website 🚀.
Check it out 👉 https://ai4pex.org/ -
#AI4PEX is a transnational #ClimateResearch project funded by #Horizon2EU #CINEA. We will deliver enhanced knowledge on the Earth System by integrating #EarthObservation, #ArtificialIntelligence and #MachineLearning into Earth System modelling.
-
Welcome to the new #HorizonEU project AI4PEX.
#AI4PEX aims to harness AI to improve Earth System modelling to increase the accuracy of #ClimateChange projections and support for implementation of the Paris Climate Agreement and the #EUGreenDeal. 🌱
🚀 Join us on this journey. Follow for updates and insights!
-
My expert hour at #egu24 at 12-13:00 today at the #DKRZ booth.
Happy to talk about the global carbon cycle and the #ocean #carbonsinks and how we model all this with our #EarthSystemModels.
#CLICCS -
✅ Our 4th km-scale #Hackathon has officially finished! Lots of successes to celebrate and challenges ahead, but we’re happy to see our community growing and developing unbelievable tools for #ClimateScience 🌐
As part of the closing sessions, participants engaged and shared their opinions or concerns regarding the #EarthSystemModels, future publications, and collaborations between #ClimateModelling projects in an open discussion panel, as well as after the event at @MPI_Meteo
-
🔵 As Friday starts, the #nextGEMS #hackathon comes to an end. After five fruitful days of observations, programming, and modelling, the thematic groups shared their observations, analysis, challenges, and suggestions in the closing session. 🌐
Thorsten Mauritsen, from the Storms & Radiation team, shared an astonishing graphical demonstration made with the #ICON model, showing how sand storms form in the Sahara region. 🌍
#ClimateModeling #ClimateScience #EarthSystemModels #StormResolving
-
🔵 The #hackathon opening continues!
Scientists Rohit Gosh and Dian Putrasaham shared the current state of the #EarthSystemModels used in the #EERIE project, while highlighting the relevance of the #nextGEMS hackathon in understanding the climate impacts of ocean mesoscale processes. 🌊
-
#TreeMortality is often neglected in #EarthSystemModels. Global veg models are often very satellite driven leading to detailed #photosynthesis models (dependent on in solar radiation, temperature, and moisture) but less detailed tree death (often just proportional to biomass).
Yu etal 2022 ( https://www.nature.com/articles/s41467-022-29619-4 ) used #MachineLearning to better estimate tree mortality. => Generally reduced expected #LandCarbonStocks.
-
The #PalMod project investigates the #climate system and its variability during the last #glacial cycle using complex #EarthSystemModels. Read more about the project here: https://mpimet.mpg.de/en/communication/focus-on/translate-to-englisch-grossforschungsprojekt-palmod-was-haben-wir-gelernt
F. Ziemen from the German Climate Computing Center #DKRZ created this animation, which shows the development of sea surface salinity.