GLOBGM v1.0: a parallel implementation of a 30 arcsec PCR-GLOBWB-MODFLOW global-scale groundwater model

Cloud detection from multi-angular polarimetric satellite measurements using a neural network ensemble approach

Traded Plastic, Traded Impacts?: Designing Counterfactual Scenarios to Assess Environmental Impacts of Global Plastic Waste Trade

A gridded air quality forecast through fusing site-available machine learning predictions from RFSML v1.0 and chemical transport model results from GEOS-Chem v13.1.0 using the ensemble Kalman filter

Advecting Superspecies: Efficiently Modeling Transport of Organic Aerosol With a Mass-Conserving Dimensionality Reduction Method

Synchronization of power systems under stochastic disturbances

Community-Based Influence Maximization Using Network Embedding in Dynamic Heterogeneous Social Networks

Synchronization of Coupled Phase Oscillators with Stochastic Disturbances and the Cycle Space of the Graph

4DEnVar-based inversion system for ammonia emission estimation in China through assimilating IASI ammonia retrievals

Increasing the synchronization stability in complex networks

Dust storm forecasting through coupling LOTOS-EUROS with localized ensemble Kalman filter

ricME: Long-Read Based Mobile Element Variant Detection Using Sequence Realignment and Identity Calculation

Data-assimilation-based parameter estimation of bathymetry and bottom friction coefficient to improve coastal accuracy in a global tide model

Assessing the Potential of the Strategic Formation of Urban Platoons for Shared Automated Vehicle Fleets

Parameter estimation for a global tide and surge model with a memory-efficient order reduction approach

Metal Requirements for Building Electrical Grid Systems of Global Wind Power and Utility-Scale Solar Photovoltaic until 2050

Development of a regional feature selection-based machine learning system (RFSML v1.0) for air pollution forecasting over China

Surrogate-assisted inversion for large-scale history matching: Comparative study between projection-based reduced-order modeling and deep neural network

Inverse modeling of the 2021 spring super dust storms in East Asia

Modeling the competition between multiple Automated Mobility on-Demand operators: An agent-based approach