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A Path to Better Science Through Co‐Creation and Open Infrastructure
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A Counterintuitive Path to Carbon Storage: Leveraging EOR to Future‐Proof US Oilfields for Geologic Carbon Sequestration
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Multi‐Species Constraints Resolve Methane Source Versus Sink Changes: Lessons From 2020
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Can streamflow observations constrain snow mass reconstructions? Lessons from two synthetic numerical experiments
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MESMER v1.0.0: consolidating the modular Earth system model emulator into a sustainable research software package
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Applying corrective machine learning in the E3SM atmosphere model in C+ + (EAMxx)
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Strongly Coupled Data Assimilation for Paleoclimate Reconstruction Using Deep Learning‐Based Models
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Global climate modeling with improved precipitation characteristics by learning physics (GRIST-MPS v1.0) from global storm-resolving modeling
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An example for transatlantic hitchhiking by macrozoobenthic organisms with a research vessel
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AIFS Single 1.1.0: an update to ECMWF's machine-learned weather forecast model AIFS
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Deep learning-based chlorophyll prediction: comparison with a dynamic model and applications to fish catch forecasting
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Comparative assessment of knowledge-based and machine learning models using Brihat Samhita insights for monsoon rainfall forecasting
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Modelling the Livelihood Vulnerability Index (LVI-IPCC) with Machine Learning in Agro-Ecological Region I of Southern Zambia
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Researchers' Well‐Being Through My Academic Career in Japan, Germany and USA
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Global Research Trends on Plant Growth-Promoting Rhizobacteria in Maize (Zea mays L.): A Bibliometric Analysis
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Sigma Gamma Epsilon student research poster session, Geological Society of America Connects 2024, Anaheim, California, USA
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Make the invisible visible: reveal the magnetic field and air pollution to foster engagement in a community-based participatory research project
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Sigma Gamma Epsilon student research poster session, Geological Society of America Annual Meeting 2023, Pittsburgh, Pennsylvania, USA
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Sigma Gamma Epsilon student research poster session, Geological Society of America Annual Meeting 2025, San Antonio, Texas, USA
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Unsupervised Deep Representation Learning for Infrasound Phase Identification
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Observational Uncertainty in Deep Learning Climate Downscaling and Projections
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Meta-modelling of carbon fluxes from crop and grassland multi-model outputs
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Direction‐Informed Deep Learning With Topographic Fusion for 10m Wind Downscaling
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Improving terrestrial carbon flux simulations with machine learning and global Earth observations
