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AI for climate impacts: applications in flood risk
In recent years there has been a surge of interest in the potential of Artificial Intelligence (AI) to address the global threat of climate change....
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Physics-informed deep learning framework to model intense precipitation events at super resolution
Physical modeling of precipitation at fine (sub-kilometer) spatial scales is computationally very expensive. This study develops a highly efficient...
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Ensembles of climate simulations to anticipate worst case heatwaves during the Paris 2024 Olympics
The Summer Olympic Games in 2024 will take place during the apex of the temperature seasonal cycle in the Paris Area. The mid-latitudes of the...
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MieAI: a neural network for calculating optical properties of internally mixed aerosol in atmospheric models
Aerosols influence weather and climate by interacting with radiation through absorption and scattering. These effects heavily rely on the optical...
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Regional storm surge hazard quantification using Gaussian process metamodeling techniques
The recent, very active hurricane seasons, as well as emerging concerns related to the future effects of sea-level rise, hurricane intensification,...
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Mechanism-learning coupling paradigms for parameter inversion and simulation in earth surface systems
Building the physics-driven mechanism model has always been the core scientific paradigm for parameter estimation in Earth surface systems, and...
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A hybrid numerical–probabilistic approach for machine learning-based prediction of liquefaction-induced settlement using CPT data
Traditional deterministic approaches for estimating liquefaction-induced settlement (LIS) do not account for uncertainties associated with earthquake...
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Assessing the Pyroclastic Density Current Hazards at Merapi: From Field Data to Numerical Simulations and Hazard Maps
Merapi is considered as the most active and the most frequently eruptive volcano in Indonesia and is responsible for more than 5200 casualties since...
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A surrogate-assisted uncertainty-aware Bayesian validation framework and its application to coupling free flow and porous-medium flow
Existing model validation studies in geoscience often disregard or partly account for uncertainties in observations, model choices, and input...
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Emulation of CPU-demanding reactive transport models: a comparison of Gaussian processes, polynomial chaos expansion, and deep neural networks
This paper presents a detailed comparison between 3 methods for emulating CPU-intensive reactive transport models (RTMs): Gaussian processes (GPs),...
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Applying kriging proxies for Markov chain Monte Carlo in reservoir simulation
One way to quantify the uncertainty in Bayesian inverse problems arising in the engineering domain is to generate samples from the posterior...
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A Hybrid Surrogate Modelling Strategy for Simplification of Detailed Urban Drainage Simulators
Urban drainage modelling typically requires development of highly detailed simulators due to the nature of various underlying surface and drainage...
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Revisiting development strategy under climate uncertainty: case study of Malawi
This paper analyzes the effectiveness of agriculture-led versus non-agriculture-led development strategies under climate-induced economic...
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Finding plausible and diverse variants of a climate model. Part II: development and validation of methodology
The usefulness of a set of climate change projections largely depends on how well it spans a range of outcomes consistent with known uncertainties....
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Improvements in storm surge surrogate modeling for synthetic storm parameterization, node condition classification and implementation to small size databases
Surrogate models are becoming increasingly popular for storm surge predictions. Using existing databases of storm simulations, developed typically...
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Surface warming and wetting due to methane’s long-wave radiative effects muted by short-wave absorption
Although greenhouse gases absorb primarily long-wave radiation, they also absorb short-wave radiation. Recent studies have highlighted the importance...
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A perturbed parameter ensemble of HadGEM3-GC3.05 coupled model projections: part 1: selecting the parameter combinations
This is the first of two papers that describe the generation of a 25-member perturbed parameter ensemble (PPE) of high-resolution, global coupled...
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Submarine landslide tsunami hazard assessment for the western Makran based on a deterministic approach
The Makran region, which borders southern Iran and Pakistan along the Gulf of Oman, has experienced multiple tsunamis in the last century, with some...
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Incorporation of sea level rise in storm surge surrogate modeling
In order to accommodate the computational burden of high-fidelity storm surge numerical models, surrogate modeling (metamodeling) techniques have...
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Near surface ocean temperature uncertainty related to initial condition uncertainty
Contributions to climate uncertainty in the modeling of the near surface temperature of the ocean come from several sources: the knowledge of the...
