ESSI1 – Next-Generation Analytics for Scientific Discovery: Data Science, Machine Learning, AI
EGU23-2843 | ECS | PICO | ESSI1.1
Geography-Aware Masked Autoencoders for Change Detection in Remote SensingEGU23-6818 | ECS | PICO | ESSI1.1
Eddy identification from along-track altimeter data with multi-modal deep learningEGU23-8479 | ECS | PICO | ESSI1.1
Model evaluation strategy impacts the interpretation and performance of machine learning modelsEGU23-11601 | PICO | ESSI1.1
Clustering Geodata Cubes (CGC) and Its Application to Phenological DatasetsEGU23-12773 | PICO | ESSI1.1
Industrial Atmospheric Pollution Estimation Using Gaussian Process RegressionEGU23-12933 | ECS | PICO | ESSI1.1
Estimating vegetation carbon stock components by linking ground databases with Earth observationsEGU23-16768 | PICO | ESSI1.1
Knowledge Representation of Levee Systems - an Environmental Justice PerspectiveEGU23-102 | ECS | Orals | ITS1.14/CL5.8
Inferring Causal Structures to Model and Predict ENSO and Its Effect on Asian Summer MonsoonEGU23-492 | ECS | Posters on site | ITS1.14/CL5.8
Separation of climate models and observations based on daily output using two machine learning classifiersEGU23-753 | ECS | Orals | ITS1.14/CL5.8 | Highlight
Finding regions of similar sea level variability with the help of a Gaussian Mixture ModelEGU23-1135 | ECS | Posters on site | ITS1.14/CL5.8
Curation of High-level Molecular Atmospheric Data for Machine Learning PurposesEGU23-1244 | Posters on site | ITS1.14/CL5.8
Machine learning for non-orographic gravity waves in a climate modelEGU23-1502 | ECS | Orals | ITS1.14/CL5.8
Adapting Transfer Learning for Multiple Channels in Satellite Data ApplicationsEGU23-2541 | ECS | Posters on site | ITS1.14/CL5.8
Machine learning based automated parameter tuning of ICON-A using satellite dataEGU23-3404 | ECS | Posters on site | ITS1.14/CL5.8 | Highlight
Deep learning-based generation of 3D cloud structures from geostationary satellite dataEGU23-3418 | ECS | Posters on site | ITS1.14/CL5.8
Building a physics-constrained, fast and stable machine learning-based radiation emulatorEGU23-3619 | ECS | Posters on site | ITS1.14/CL5.8
TCDetect: A new method of Detecting the Presence of Tropical Cyclones using Deep LearningEGU23-3875 | ECS | Posters on site | ITS1.14/CL5.8
Explainable AI for oceanic carbon cycle analysis of CMIP6EGU23-5431 | ECS | Orals | ITS1.14/CL5.8
Towards Robust Parameterizations in Ecosystem-level Photosynthesis ModelsEGU23-5487 * | ECS | Posters on site | ITS1.14/CL5.8 | Highlight
Harvesting historical spy imagery by evaluating deep learning models for state-wide mapping of land cover changes between 1965-1978EGU23-5583 | ECS | Posters on site | ITS1.14/CL5.8
Identifying and Locating Volcanic Eruptions using Convolutional Neural Networks and Interpretability TechniquesEGU23-5967 | ECS | Posters on site | ITS1.14/CL5.8
Potentials and challenges of using Explainable AI for understanding atmospheric circulationEGU23-6061 | ECS | Orals | ITS1.14/CL5.8 | Highlight
Using reduced representations of atmospheric fields to quantify the causal drivers of air pollutionEGU23-6450 | ECS | Orals | ITS1.14/CL5.8
The key role of causal discovery to improve data-driven parameterizations in climate modelsEGU23-7457 | ECS | Posters on site | ITS1.14/CL5.8
Towards the effective autoencoder architecture to detect weather anomaliesEGU23-7465 | ECS | Posters on site | ITS1.14/CL5.8
Invertible neural networks for satellite retrievals of aerosol optical depthEGU23-7862 | Posters on site | ITS1.14/CL5.8
Predicting spatial precipitation extremes with deep learning models. A comparison of existing model architectures.EGU23-8085 | ECS | Posters on site | ITS1.14/CL5.8
Improving the spatial accuracy of extreme tropical cyclone rainfall in ERA5 using deep learningEGU23-8496 | ECS | Posters on site | ITS1.14/CL5.8
Utilizing AI emulators to Model Stratospheric Aerosol Injections and their Effect on ClimateEGU23-8615 | Orals | ITS1.14/CL5.8 | Highlight
Machine learning applications for weather and climate need greater focus on extremesEGU23-8666 | ECS | Posters on site | ITS1.14/CL5.8
Drivers of Natural Gas Use in United States BuildingsEGU23-8921 | ECS | Posters on site | ITS1.14/CL5.8
Identification of sensitive regions to climate change and anticipation of climate events in BrazilEGU23-9337 | ECS | Posters on site | ITS1.14/CL5.8
Modeling landscape-scale vegetation response to climate: Synthesis of the EarthNet challengeEGU23-9434 | ECS | Posters on site | ITS1.14/CL5.8
Enhancing environmental sensor data quality control with graph neural networksEGU23-9810 | ECS | Orals | ITS1.14/CL5.8
Integration of a deep-learning-based fire model into a global land surface modelEGU23-10219 | ECS | Posters on site | ITS1.14/CL5.8
Identifying compound weather prototypes of forest mortality with β-VAEEGU23-10391 | ECS | Posters virtual | ITS1.14/CL5.8
Simulation and reconstruction of global monthly runoff based on hydrological models and machine learning modelsEGU23-10568 | ECS | Orals | ITS1.14/CL5.8
Extended-range predictability of stratospheric extreme events using explainable neural networksEGU23-11238 | ECS | Orals | ITS1.14/CL5.8 | Highlight
Seasonal forecasts of wildfire frequency and burned area in the western United States using a stochastic machine learning fire modelEGU23-11355 | Posters on site | ITS1.14/CL5.8
Estimation of Fine Dust Concentration from BGR Images in Surveillance CamerasEGU23-12137 | ECS | Posters on site | ITS1.14/CL5.8
Identifying mechanisms of low-level jets near coast of Kurzeme using Principal Component AnalysisEGU23-12657 | Orals | ITS1.14/CL5.8 | Highlight
DeepExtremes: Explainable Earth Surface Forecasting Under Extreme Climate ConditionsEGU23-12948 | ECS | Orals | ITS1.14/CL5.8
Identifying drivers of river floods using causal inferenceEGU23-13250 | ECS | Posters on site | ITS1.14/CL5.8
From MODIS cloud properties to cloud types using semi-supervised learningEGU23-14493 | ECS | Orals | ITS1.14/CL5.8
Interpretable probabilistic forecast of extreme heat wavesEGU23-14856 | ECS | Orals | ITS1.14/CL5.8
Classification of Indoor Air Pollution Using Low-cost Sensors by Machine LearningEGU23-15000 | ECS | Orals | ITS1.14/CL5.8 | Highlight
Causal inference to study food insecurity in AfricaEGU23-15185 | ECS | Posters on site | ITS1.14/CL5.8
Deep learning to support ocean data quality controlEGU23-15286 | ECS | Orals | ITS1.14/CL5.8
Spatio-temporal downscaling of precipitation data using a conditional generative adversarial networkEGU23-15540 | ECS | Posters on site | ITS1.14/CL5.8 | Highlight
USCC: A Benchmark Dataset for Crop Yield Prediction under Climate ExtremesEGU23-15817 | ECS | Posters on site | ITS1.14/CL5.8
Evaluating the generalization ability of a deep learning model trained to detect cloud-to-ground lightning on raw ERA5 dataEGU23-16098 | Posters on site | ITS1.14/CL5.8
Identifying Lightning Processes in ERA5 Soundings with Deep LearningEGU23-16163 | ECS | Posters on site | ITS1.14/CL5.8
A comparison of methods for determining the number of classes in unsupervised classification of climate modelsEGU23-16186 | ECS | Posters on site | ITS1.14/CL5.8
A review of deep learning for weather predictionEGU23-16443 | ECS | Orals | ITS1.14/CL5.8
Hybrid machine learning model of coupled carbon and water cyclesEGU23-17082 | ECS | Posters on site | ITS1.14/CL5.8
A statistical approach on rapid estimations of climate change indices by monthly instead of daily dataEGU23-17197 | Posters on site | ITS1.14/CL5.8
Machine learning workflow for deriving regional geoclimatic clusters from high-dimensional dataEGU23-17333 | ECS | Posters on site | ITS1.14/CL5.8
Emulating the regional temperature responses (RTPs) of short-lived climate forcersEGU23-542 | ECS | Posters on site | ESSI1.3
Electron Temperature Inference from Fixed Bias Langmuir Probes Set-Ups in Ionospheric ConditionsEGU23-3379 | ECS | Posters on site | ESSI1.3
Estimation and Prediction of Solar Wind Propagation from L1 Point to Earth’s Bow ShockEGU23-4069 | ECS | Posters on site | ESSI1.3
Plasma-Sheet Bubble Identification Using Muitivariate Time Series ClassificationEGU23-6968 | ECS | Posters on site | ESSI1.3
Forecasting solar wind speed by machine learning based on coronal hole characteristicsEGU23-7529 | ECS | Posters on site | ESSI1.3
Landform detection on Mars using image segmentation with a u-net convolutional neural network architectureEGU23-7761 | ECS | Posters virtual | ESSI1.3
Comparison study on the deep-learning-based detection of Mars cratersEGU23-8676 | Posters on site | ESSI1.3
Software solution for detecting asteroids using machine learning techniquesEGU23-8946 | Posters on site | ESSI1.3
Using Artificial Intelligence/Computer Vision for Automated Plot ValidationEGU23-10654 | ECS | Orals | ESSI1.3
Predicting the 1 AU Arrival Time of Coronal Mass Ejections Based on Convolutional Neural NetworkEGU23-12354 | ECS | Posters on site | ESSI1.3
Key Signatures of Prominence Materials and Category of Unknown-origin Cold Materials identified by Machine Learning ClassifierEGU23-14927 | ECS | Orals | ESSI1.3
Automatically Calculating Depths of Martian and Lunar Pits with Satellite ImageryEGU23-15160 | ECS | Orals | ESSI1.3
Detecting the magnetopause of Mercury by neural network — using MESSENGER data to train for BepiColombo.EGU23-16941 | ECS | Orals | ESSI1.3
Mars Perseverance Panoramic Image for Self-Determination Mission AlgorithmEGU23-2909 | Posters on site | ESSI1.5
Long-Term Forecasting of Environment variables of MERRA2 based on TransformersEGU23-6060 | ECS | Posters on site | ESSI1.5
A machine learning-powered Digital Twin for extreme weather events analysisEGU23-10092 | Posters on site | ESSI1.5
An Information Management Framework for Environmental Digital Twins (IMFe) as a concept and pilotEGU23-10138 | Orals | ESSI1.5 | Highlight
Open-Source Framework For Earth System Digital Twins Applied to Surface Water HydrologyEGU23-10488 | ECS | Orals | ESSI1.5
Statistical downscaling of precipitation with deep neural networksEGU23-11489 | Posters on site | ESSI1.5
Towards a benchmark dataset for statistical downscaling of meteorological fieldsEGU23-12333 | ECS | Posters virtual | ESSI1.5
An AI hybrid predictive tool for extreme hurricane forecastingEGU23-13106 | Posters virtual | ESSI1.5
An Unsupervised Anomaly Detection Problem in Urban InSAR-PSP Long Time-seriesEGU23-15688 | Posters virtual | ESSI1.5
Digital Twins of the Ocean – Opportunities to Inform Sustainable Ocean GovernanceEGU23-973 | Posters virtual | HS3.5
Clustering aggregation model for statistical forecasting of multiphase flow problemsEGU23-3891 | Posters on site | HS3.5
Estimating groundwater response time in humid climate by using spectral analysisEGU23-3933 | Posters on site | HS3.5
Towards identification of dominant hydrological mechanisms in ungauged catchmentsEGU23-5100 | ECS | Orals | HS3.5
Characterising errors using satellite metadata for eco-hydrological modellingEGU23-5635 | ECS | Orals | HS3.5
Spectral analysis of groundwater level time series reveals hydrogeological parametersEGU23-10510 | ECS | Posters on site | HS3.5
Uncertainty Quantification in Hydrological and Environmental Modeling based on Polynomial Chaos ExpansionEGU23-13104 | Posters on site | HS3.5
Combining water and pesticide data with coupled surface/subsurface hydrological modeling to reduce its uncertainty.EGU23-13589 | Orals | HS3.5 | Highlight
A comparison of sensitivity analysis methods and their value for comparing denitrification modelsEGU23-13981 | Posters on site | HS3.5
Sensitivity analysis of water balance components under climate change in SaxonyEGU23-15689 | ECS | Posters on site | HS3.5
Adaptive Surrogate Likelihood Function for Blended Hydrologic ModelsEGU23-1668 | Posters virtual | ESSI1.7
Assessing the retrieval accuracy of SMOS soil moisture product in a Greek agricultural settingEGU23-1761 | ECS | Posters virtual | ESSI1.7
Exploring the synergy of EnMAP hyperspectral imagery with Machine Learning for land use- land cover mapping in a Mediterranean settingEGU23-3434 | ECS | Orals | ESSI1.7
The benefit of textural features for SAR-based tropical forest disturbance mappingEGU23-8451 | Orals | ESSI1.7
Enhanced and gap-free Sentinel-2 reflectance data at vast scales with GEEEGU23-8825 | ECS | Orals | ESSI1.7
PASSION: a workflow for the estimation of rooftop photovoltaic potential from satellite imagery.EGU23-8916 | ECS | Orals | ESSI1.7
Separating tree systems in agricultural lands from forests using Deep learningEGU23-13610 | ECS | Orals | ESSI1.7
Unsupervised Segmentation Of Microwave Brightness Temperatures To Study The Changes In The Water CycleEGU23-14137 | ECS | Posters virtual | ESSI1.7
The Global Distribution and Trajectory of Aquaculture PondsEGU23-14375 | ECS | Orals | ESSI1.7
Self-Supervised Contrastive Model for Flood Mapping and Monitoring on SAR Time-SeriesEGU23-15020 | ECS | Orals | ESSI1.7
Transfer Learning for LULC Classification on multi-modal data in the Amazon BasinEGU23-888 | ECS | PICO | ESSI1.8
Generating self-labeled geological datasets for semantic segmentation using pretrained GANsEGU23-12352 | ECS | PICO | ESSI1.8
Point-Cloud Class Separability: Identifying the Most Discriminative FeaturesEGU23-3441 | Posters on site | ESSI1.9
A Programming Model for Geospatial Machine-Learning with Scalability in Hybrid MulticloudsEGU23-3501 | ECS | Posters on site | ESSI1.9
EarthNets: An Open Deep Learning Platform for Earth ObservationEGU23-7233 | Posters on site | ESSI1.9
A flexible, scalable, cloud-native framework for geospatial modellingEGU23-11709 | Posters on site | ESSI1.9
Microservice architecture to enable fast assessment of the NatCat events based on EO and geospatial dataEGU23-13481 | Posters on site | ESSI1.9
Satellite data as a predictor for monitoring tree health and stress in reforestation projectsEGU23-13852 | Posters on site | ESSI1.9
Can machine learning help us to create improved and trustworthy satellite-based precipitation products?EGU23-14353 | Posters on site | ESSI1.9
MLOps in practice: how to scale your geospatial practice with cloud-based shared MLOps platformEGU23-16802 | Posters on site | ESSI1.9
eo-grow - Earth Observation framework for scaled-up processing in PythonEGU23-17046 | ECS | Posters on site | ESSI1.9
Wayang AgoraEO Plugin: The Framework for Scalable EO WorkflowsEGU23-339 | ECS | Posters on site | HS3.3
Effectiveness of Satellite-based Vegetation Index for Simulating Watershed Response Using an LSTM-based model in a Distributed FrameworkEGU23-1218 | Posters on site | HS3.3
Exploring the Value of Natural Language Processing for Urban Water ResearchEGU23-1278 | ECS | Orals | HS3.3
Evaluating Machine Learning Approach for Regional Flood Frequency Analysis in Data-sparse RegionsEGU23-2382 | Posters virtual | HS3.3
Reconstruct karst spring discharge data with hybrid deep learning models and ensemble empirical mode decomposition methodEGU23-4137 | ECS | Orals | HS3.3
Sequential optimization of temperature measurements to estimate groundwater-surface water interactionsEGU23-4177 | ECS | Posters virtual | HS3.3
Evaluation of regional Rainfall-Runoff modelling using convolutional long short-term memory: CAMELS dataset in US as a case study.EGU23-4801 | Posters on site | HS3.3
Improving Streamflow Predictions over Indian Catchments using Long Short Term Memory NetworksEGU23-4842 | ECS | Orals | HS3.3
Introducing DL-GLOBWB: a deep-learning surrogate of a process-based global hydrological modelEGU23-4970 | ECS | Posters on site | HS3.3
Use of Long-Short Term Memory network (LSTM) in the reconstruction of missing water level data in the Seine River.EGU23-5044 | Orals | HS3.3
The role of ensemble learning in multi-optimization for streamflow predictionEGU23-5199 | ECS | Posters virtual | HS3.3
How do machine learning models deal with inter-catchment groundwater flows?EGU23-5445 | ECS | Posters on site | HS3.3
Physics-Informed Neural Networks for Statistical Emulation of Hydrodynamical Numerical ModelsEGU23-5736 | ECS | Orals | HS3.3
A Novel Workflow for Streamflow Prediction in the Presence of Missing Gauge ObservationsEGU23-7828 | ECS | Posters on site | HS3.3
Sub-seasonal daily precipitation forecasting based on Long Short-Term Memory (LSTM) modelsEGU23-8746 | ECS | Posters on site | HS3.3
A large sample study of the effects of upstream hydrometeorological input features for LSTM-based daily flow forecasting in Canadian catchmentsEGU23-9726 | ECS | Posters on site | HS3.3
Flood Forecasting with Deep Learning LSTM Networks: Local vs. Regional Network Training Based on Hourly DataEGU23-10317 | ECS | Posters on site | HS3.3
A convolutional LSTM model with high accuracy to predict extreme precipitation space-time fieldsEGU23-12952 | ECS | Orals | HS3.3
On the generalization of hydraulic-inspired graph neural networks for spatio-temporal flood simulationsEGU23-13493 | ECS | Posters on site | HS3.3
Comparison of a conceptual rainfall-runoff model with an artificial neural network model for streamflow predictionEGU23-15604 | ECS | Posters on site | HS3.3
Forecasting discharges through explainable machine learning approaches at an alpine karst springEGU23-15629 | ECS | Posters virtual | HS3.3
Peak Hydrological Event Simulation with Deep Learning AlgorithmEGU23-16658 | ECS | Orals | HS3.3
Improving large-basin streamflow simulation using a modular, differentiable, learnable graph model for routingEGU23-582 | ECS | Posters on site | ITS1.13/AS5.2
Modeling the Variability of Terrestrial Carbon Fluxes using TransformersEGU23-3117 | Orals | ITS1.13/AS5.2
AtmoRep: Large Scale Representation Learning for Atmospheric DataEGU23-3128 | ECS | Orals | ITS1.13/AS5.2 | Highlight
Improving global CMIP6 Earth system model precipitation output with generative adversarial networks for unpaired image-to-image translationEGU23-3256 | Orals | ITS1.13/AS5.2
Emulating radiative transfer in a numerical weather prediction modelEGU23-3321 | ECS | Orals | ITS1.13/AS5.2
Using machine learning to improve dynamical predictions in a coupled modelEGU23-3340 | ECS | Orals | ITS1.13/AS5.2
An iterative data-driven emulator of an ocean general circulation modelEGU23-4337 | Orals | ITS1.13/AS5.2 | Highlight
Towards a new surrogate model for predicting short-term NOx-O3 effects from aviation using Gaussian processesEGU23-4695 | Posters on site | ITS1.13/AS5.2
Development of PBL Parameterization Emulator using Neural NetworksEGU23-4817 | ECS | Posters on site | ITS1.13/AS5.2
Algorithmic optimisation of key parameters of OpenIFSEGU23-5003 | ECS | Posters on site | ITS1.13/AS5.2
Towards machine-learning calibration of cloud parameters in the kilometre-resolution ICON atmosphere modelEGU23-5149 | ECS | Posters on site | ITS1.13/AS5.2
Machine Learning Parameterization for Super-droplet Cloud Microphysics SchemeEGU23-5523 | ECS | Orals | ITS1.13/AS5.2
Using weak constrained neural networks to improve simulations in the gray zoneEGU23-5766 | ECS | Orals | ITS1.13/AS5.2
Best Practices for Fortran-Python Bridges to Integrate Neural Networks in Earth System ModelsEGU23-6836 | ECS | Posters on site | ITS1.13/AS5.2
Parameterising melt at the base of Antarctic ice shelves with a feedforward neural networkEGU23-7281 | ECS | Posters on site | ITS1.13/AS5.2
Neural network surrogate models for multiple scattering: Application to OMPS LP simulationsEGU23-7368 | ECS | Posters on site | ITS1.13/AS5.2
Comparison of Methods for Learning Differential Equations from DataEGU23-7391 | ECS | Posters on site | ITS1.13/AS5.2
Learning fluid dynamical statistics using stochastic neural networksEGU23-7492 | Posters on site | ITS1.13/AS5.2
Machine Learning and Microseism as a Tool for Sea Wave MonitoringEGU23-7561 | ECS | Posters on site | ITS1.13/AS5.2
Deep Learning guided statistical downscaling of climate projections for use in hydrological impact modeling in Danish peatlandsEGU23-9285 | ECS | Orals | ITS1.13/AS5.2
Stabilized Neural Differential Equations for Hybrid Modeling with Conservation LawsEGU23-10135 | ECS | Orals | ITS1.13/AS5.2
Exploring physics-informed machine learning for accelerated simulation of permafrost processesEGU23-10256 | ECS | Posters on site | ITS1.13/AS5.2
Foehn Wind Analysis using Unsupervised Deep Anomaly DetectionEGU23-10351 | ECS | Orals | ITS1.13/AS5.2
Deep learning of systematic sea ice model errors from data assimilation incrementsEGU23-10394 | ECS | Posters on site | ITS1.13/AS5.2
Mitigate forecast error in surface wind speed using an offline single-column model with optimal ground forcingEGU23-10726 | Posters virtual | ITS1.13/AS5.2
A hybrid VMD-WT-InceptionTime model for multi-horizon short-term air temperature forecasting in AlaskaEGU23-10810 | ECS | Orals | ITS1.13/AS5.2
Oceanfourcast: Emulating Ocean Models with Transformers for Adjoint-based Data AssimilationEGU23-10904 | ECS | Posters on site | ITS1.13/AS5.2
On the choice of turbulence eddy fluxes to learn from in data-driven methodsEGU23-11293 | ECS | Posters on site | ITS1.13/AS5.2
National scale agricultural development dynamics under socio-political drivers in Saudi Arabia since 1990EGU23-11687 | ECS | Orals | ITS1.13/AS5.2
Objectively Determining the Number of Similar Hydrographic Clusters with Unsupervised Machine LearningEGU23-11906 | ECS | Orals | ITS1.13/AS5.2
Untapping the potential of geostationary EO data to understand drought impacts with XAIEGU23-11958 | ECS | Posters on site | ITS1.13/AS5.2
Modelling Soil Temperature and Soil Moisture in Space, Depth, and Time with Machine Learning TechniquesEGU23-12218 | Posters on site | ITS1.13/AS5.2
Bias correction of aircraft temperature observations in the Korean Integrated Model based on a deep learning approachEGU23-12355 | ECS | Orals | ITS1.13/AS5.2
Comparison of NWP Models Used in Training Surrogate Wave ModelsEGU23-12403 | ECS | Orals | ITS1.13/AS5.2
PseudoSpectralNet: A hybrid neural differential equation for atmosphere modelsEGU23-12458 | ECS | Posters on site | ITS1.13/AS5.2
Training Deep Data Assimilation Networks on Sparse and Noisy ObservationsEGU23-12566 | Posters on site | ITS1.13/AS5.2
Comparison of PM2.5 concentrations prediction model performance using Artificial IntelligenceEGU23-13013 | ECS | Posters on site | ITS1.13/AS5.2
Using cGAN for cloud classification from RGB picturesEGU23-13143 | ECS | Posters on site | ITS1.13/AS5.2
Comparison of LSTM, GraphNN, and IrradPhyDNet based Approaches for High-resolution Solar Irradiance NowcastingEGU23-13367 | ECS | Posters on site | ITS1.13/AS5.2
Framework for creating daily semantic segmentation maps of classified eddies using SLA along-track altimetry dataEGU23-14051 | ECS | Posters on site | ITS1.13/AS5.2
Multi-modal data assimilation of sea surface currents from AIS data streams and satellite altimetry using 4DVARNetEGU23-15183 | ECS | Orals | ITS1.13/AS5.2
Deep learning approximations of a CFD model for operational wind and turbulence forecastingEGU23-15684 | ECS | Posters on site | ITS1.13/AS5.2
Semi-supervised feature-based learning for prediction of Mass Accumulation Rate of sedimentsEGU23-15756 | ECS | Posters on site | ITS1.13/AS5.2
Physiography improvements in numerical weather prediction digital twin enginesEGU23-15892 | ECS | Posters on site | ITS1.13/AS5.2
Towards emulated Lagrangian particle dispersion model footprints for satellite observationsEGU23-15994 | ECS | Posters on site | ITS1.13/AS5.2
Uncertainty quantification in variational data assimilation with deep learningEGU23-16287 | ECS | Posters on site | ITS1.13/AS5.2
A machine learning emulator for forest carbon stocks and fluxesEGU23-16597 | Posters on site | ITS1.13/AS5.2 | Highlight
Global Decadal Sea Surface Height Forecast with Conformal PredictionEGU23-338 | ECS | Posters virtual | ITS1.1/NH0.1
A Stacking Ensemble Deep Learning Approach for Post Disaster Building Assessment using UAV ImageryEGU23-2564 | ECS | Posters on site | ITS1.1/NH0.1
Investigating the Correlation between the Characteristics of Seismic Activity and Environmental Variables in TaiwanEGU23-2996 | ECS | Posters virtual | ITS1.1/NH0.1
Development of a Rapid Seismic Loss Prediction Model for Residential Buildings using Machine Learning - Christchurch, New ZealandEGU23-4455 | ECS | Posters virtual | ITS1.1/NH0.1
Traffic Monitoring System Design considering Multi-Hazard Disaster RisksEGU23-4757 | Posters on site | ITS1.1/NH0.1
Machine Learning-based Site Classification System for Earthquake-Induced Multi-Hazard in South KoreaEGU23-4816 | ECS | Posters on site | ITS1.1/NH0.1
XAIDA4Detection: A Toolbox for the Detection and Characterization of Spatio-Temporal Extreme EventsEGU23-5581 | Posters on site | ITS1.1/NH0.1
Vision Transformers for building damage assessment after natural disastersEGU23-6790 | ECS | Posters on site | ITS1.1/NH0.1
Deep learning for automatic flood mapping from high resolution SAR imagesEGU23-8419 | ECS | Orals | ITS1.1/NH0.1
Synthetic Generation of Extra-Tropical Cyclones’ fields with Generative Adversarial NetworksEGU23-8944 | ECS | Orals | ITS1.1/NH0.1
Towards probabilistic impact-based drought risk analysis – a case study on the Volta BasinEGU23-9426 | ECS | Orals | ITS1.1/NH0.1
Fire hazard modelling with remote sensing data for South AmericaEGU23-11636 | ECS | Posters on site | ITS1.1/NH0.1
State-of-the-Art Review of Machine Learning Models in Civil Engineering: Based on DAMIE Classification TreeEGU23-11756 * | Orals | ITS1.1/NH0.1 | Highlight
Digital twin computing for enhancing resilience of disaster response systemEGU23-12240 | ECS | Posters on site | ITS1.1/NH0.1
Classification Seismic Spectrograms from Deep Neural Network: Application to Alarm System of Post-failure LandslidesEGU23-12716 | ECS | Posters on site | ITS1.1/NH0.1
Investigating causal effects of anthropogenic factors on global fire modelingEGU23-16626 | ECS | Posters on site | ITS1.1/NH0.1
Danish national early warning system for flash floods based on a gradient boosting machine learning frameworkEGU23-112 | ECS | Orals | NH3.11
A hybrid MPM-CFD model for simulating earthquake-induced submarine landslidesEGU23-1131 | ECS | Orals | NH3.11
Landsifier: A python library to estimate likely triggers and types of landslidesEGU23-4428 | Orals | NH3.11
From Dense Flows to Powder Cloud Simulations: The OpenFOAM Avalanche ModuleEGU23-4715 | Posters on site | NH3.11
MultiResUNet, VGG16, and U-Net applications for landslide detectionEGU23-5177 | ECS | Posters virtual | NH3.11
Effects of Spacing Distance between Cylindrical Obstacles on Granular Shock Interactions in Gravity-Driven Experimental FlowsEGU23-5309 | ECS | Orals | NH3.11
Impacts of flow path water-saturation for debris-flow erosion modelling at Illgraben (Switzerland)EGU23-6411 | ECS | Posters virtual | NH3.11 | Highlight
Importance of water and water producing processes in cascading events in mountainous regionsEGU23-6718 | ECS | Posters on site | NH3.11 | Highlight
Generating multi-temporal landslide inventories through a general deep transfer learning strategy using HR EO dataEGU23-8446 | ECS | Orals | NH3.11 | Highlight
Automatic detection of landslides from satellite images using a range of training eventsEGU23-8596 | ECS | Posters virtual | NH3.11 | Highlight
Evaluating effects of topographies on explicit hydromechanical solvers using procedural generationEGU23-8895 | ECS | Orals | NH3.11
Application of SOSlope to shallow landslide triggering in Rüdlingen (Switzerland)EGU23-9956 | ECS | Orals | NH3.11
A surrogate model for depth-averaged erosion and deposition closures using deep learningEGU23-10159 | ECS | Posters on site | NH3.11
Unravelling the complex dynamic of slow-moving landslides in the Flysch zone region, Lower Austria. A case study of the Hofermühle catchment.EGU23-10269 | Posters on site | NH3.11
Detecting Landslide Affected Areas Using Deep Learning of Bi-Temporal Satellite Imagery DatasetsEGU23-11135 | ECS | Posters virtual | NH3.11
Soil depth Prediction in a landslide prone tropical river basin under data-sparse conditions using machine-learning techniqueEGU23-13333 | ECS | Orals | NH3.11
Geophysical mass flow over complex micro-topography: from grain-scale mechanics to continuum modelingEGU23-13523 | ECS | Posters on site | NH3.11
Automatic landslide detection using Sentinel-1 and -2 images - a glacial case studyEGU23-14546 | ECS | Orals | NH3.11
ML-based characterization of PS-InSAR multi-mission point clouds for ground deformation classificationEGU23-14639 | ECS | Posters on site | NH3.11
Performance analysis of a U-Net landslide detection modelEGU23-16166 | Posters on site | NH3.11 | Highlight
Numerical modelling of mudflows impacting settlements: a case studyEGU23-16501 | Posters on site | NH3.11
Assessment of landslide susceptibility in the rocky coast subsystem of Essaouira, MoroccoEGU23-17563 | Orals | NH3.11 | Highlight
Impact of a debris flow surge on a vertical wall oblique with respect to flow directionEGU23-295 | ECS | Posters on site | GM3.3
GIS-FSLAM-FORM: A QGIS plugin for fa t probabilistic susceptibility assessment of rainfall-induced landslides at regional scaleEGU23-733 | ECS | Orals | GM3.3
Landslide Susceptibility Model based on Random Forest classificationEGU23-2283 | ECS | Orals | GM3.3
Application of the LAND-SUITE software with a benchmark dataset for landslide susceptibility zonationEGU23-3566 | ECS | Posters on site | GM3.3 | Highlight
Landslide Susceptibility within the binomial Generalized Additive ModelEGU23-4851 | Posters virtual | GM3.3
Resolution of data, type of inventory and data splitting in machine learning-based landslide susceptibility mappingEGU23-5755 | ECS | Orals | GM3.3
A slope units based landslide susceptibility analyses using Weight of Evidence and Random ForestEGU23-6053 | ECS | Posters on site | GM3.3
Landslide Susceptibility Mapping via binomial Generalized Additive ModelEGU23-9623 | ECS | Posters on site | GM3.3
Can AI-generated landslide inventories replace humans' cognitive abilities in hazard and risk scenarios?EGU23-9988 | Posters virtual | GM3.3
Comparing the performance of Machine Learning Methods in landslide susceptibility modellingEGU23-1059 | ECS | Orals | EMRP1.6
Seismic reflectivity of fractures: the impact of secondary connected fracturesEGU23-1115 | ECS | Posters virtual | EMRP1.6
Bauxite Reservoir Characteristics of Taiyuan Formation in Zhengning Area of Southwest Ordos BasinEGU23-1152 | ECS | Posters virtual | EMRP1.6
Shale oil mobility and pore size-associated wettability under capillary pressuresEGU23-1838 | ECS | Orals | EMRP1.6
Organic matter matters - The imaginary conductivity of sediments rich in solid organic carbonEGU23-2834 | ECS | Orals | EMRP1.6
Access for free: How to get free-of-charge access to Dutch Earth scientific research labs through EPOS-NLEGU23-3347 | Posters on site | EMRP1.6
Estimation of normal and shear compliance for inclined fractures from full-waveform sonic log dataEGU23-3630 | ECS | Posters on site | EMRP1.6
Fluid diffusion and pore-pressure distribution in microcracked rocksEGU23-4452 | Posters on site | EMRP1.6
IP signature of metallic particles: lessons learnt from field and laboratory experimentsEGU23-6941 | ECS | Posters on site | EMRP1.6
Reviewing numerical simulation methods of nuclear magnetic resonance signals in porous media.EGU23-7902 | ECS | Posters on site | EMRP1.6
Impact of chemical subprocesses during calcite precipitation in sandstones on the measured SIP response and their identificationEGU23-8629 | Posters virtual | EMRP1.6
Oil saturation quantitative evaluation in lacustrine shale: A novel insight from NMR T1-T2 experimentsEGU23-8860 | ECS | Orals | EMRP1.6
Effective seismic properties of fractured rocks: the role played by fracture scaling characteristicsEGU23-16816 | ECS | Posters on site | EMRP1.6
Correlating Seismic Wave Velocities with the Physicomechanical Properties of Carbonate RocksEGU23-1562 | ECS | Posters virtual | GI2.1
A new finite-difference stress modeling method governed by elastic wave equationsEGU23-2228 | ECS | Posters on site | GI2.1
Non-destructive geophysical damage analysis of medieval plaster in the cloister of the St. Petri Cathedral Schleswig (Germany)EGU23-2347 | ECS | Posters on site | GI2.1
Non-destructive testing methods and numerical development for enhancing airfield pavement managementEGU23-8667 | ECS | Posters on site | GI2.1
An Investigation into the Acquisition Parameters for GB-SAR Assessment of Bridge Structural ComponentsEGU23-10874 | ECS | Orals | GI2.1
Ground subsidence risk mapping and assessment along Shanghai metro lines by PS-InSAR and LightGBMEGU23-13720 | ECS | Posters on site | GI2.1
A fully customizable data management system for Built Cultural Heritage surveys through NDTEGU23-14899 | ECS | Orals | GI2.1
Fusion of in-situ and spaceborne sensing for environmental monitoringEGU23-16471 | ECS | Orals | GI2.1
Hydrogen isotope fractionation between leaf wax compounds and source water in tropical angiospermsEGU23-16632 | ECS | Orals | GI2.1
Development of a flexible 2D DC Resistivity modelling technique for use in space domainEGU23-16864 | Posters on site | GI2.1
Data fusion in civil engineering: personal experience, vision and historical considerationsEGU23-2540 | Posters on site | GI2.2
Hydrological setting control 137Cs and 90Sr concentration at headwater catchments in the Chornobyl Exclusion ZoneEGU23-2561 | Posters on site | GI2.2
Dispersion of particle-reactive elements caused by the phase transitions in scavengingEGU23-3049 | ECS | Posters on site | GI2.2
Changes in Air Dose Rates due to Soil Water Content in Forests in Fukushima Prefecture, JapanEGU23-4925 | Posters on site | GI2.2
Verification of reproductivity of 137Cs activity concentration in the database by an ocean general circulation modelEGU23-4947 | ECS | Posters on site | GI2.2
Vertical distribution of radioactive cesium-rich microparticles in forest soil of Hamadori area, Fukushima PrefectureEGU23-10093 | Posters on site | GI2.2
Riverine 137Cs dynamics and remoralization in coastal waters during high flow eventsEGU23-10539 | Posters on site | GI2.2 | Highlight
Long-term dynamics of 137Cs accumulation at an urban pondEGU23-10868 | Posters on site | GI2.2
Estimation of annual Cesium-137 influx from the FDNPP to the coastal waterEGU23-11671 | Posters on site | GI2.2
Changes in Cs-137 concentrations in river-bottom sediments and their factors in Fukushima Prefecture riversEGU23-13486 | ECS | Posters virtual | GI2.2
Distributions of tritium in the marine water and biota around Rokkasho Reprocessing PlantEGU23-15515 | Posters on site | GI2.2
137Cs transport flux to surface water due to shallow groundwater discharge from forest hillslopeESSI2 – Data, Software and Computing Infrastructures across Earth and space sciences
EGU23-2454 | ECS | Orals | ESSI2.2
The future of NASA Earth Science in the commercial cloud: Challenges and opportunitiesEGU23-7074 | ECS | Posters on site | ESSI2.2
An EOSC-enabled Data Space environment for the climate communityEGU23-7786 | Posters on site | ESSI2.2
Constructing a Searchable Knowledge Repository for FAIR Climate DataEGU23-7842 | Orals | ESSI2.2 | Highlight
Destination Earth - Processing Near Data and Massive Data Handling