Works matching IS 23335084 AND DT 2024 AND VI 11 AND IP 3
Results: 28
Global Predicted Bathymetry Using Neural Networks.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA003199
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High‐ and Low‐Frequency Waveform Analysis the Marsquake of Sol 1222: Focal Mechanism, Centroid Moment Tensor Inversion and Source Time Function.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA003272
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Subduction Within the Proto‐Tethys Ocean Revealed by Recognition of the Earliest Phanerozoic Intra‐Oceanic Arc, Northern Tibetan Plateau.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA002985
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Harnessing the Power of Graph Representation in Climate Forecasting: Predicting Global Monthly Mean Sea Surface Temperatures and Anomalies.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA003455
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The Impact of Lightning NOx Production on Ground‐Level Ozone in Tehran.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA003372
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Probabilistic Petrophysical Reconstruction of Danta's Alpine Peatland via Electromagnetic Induction Data.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA003457
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A Deep Learning Method for Dynamic Process Modeling of Real Landslides Based on Fourier Neural Operator.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA003417
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Attributing Extreme Precipitation Characteristics in South China Pearl River Delta Region to Anthropogenic Influences Based on Pseudo Global Warming.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA003266
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The Spatiotemporal Clustering of Short‐Duration Rainstorms in Shanghai City Using a Sub‐Hourly Gauge Network.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA003442
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The Middle Niger Basin in Nigeria Has a Rift Origin, as Revealed by the Inversion and Modeling of Gravity and Magnetic Data.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA003025
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Satellite NO<sub>2</sub> Trends and Hotspots Over Offshore Oil and Gas Operations in the Gulf of Mexico.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA003165
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Multi‐Spacecraft Magnetic Field Reconstructions: A Cross‐Scale Comparison of Methods.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA003369
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ML‐Based Hybrid SAR and Optical Image LULC Mapping and Change Analysis With Variations in the Air Quality of the Imphal Valley, North‐East India.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA003176
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Improving Mountain Snowpack Estimation Using Machine Learning With Sentinel‐1, the Airborne Snow Observatory, and University of Arizona Snowpack Data.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA002964
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Multi‐Platform Observations of Severe Typhoon Koinu.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA003366
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Advancements in Individual Tree Detection and Forest Structural Attributes Estimation From LiDAR Data: MSITD and SAFER Approaches.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA003306
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Structural Controls of the Expansion of Small‐Scale Artisanal Gold of Bouda Area (Kaya‐Goren Green Belt, Burkina Faso) From Remote Sensing.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA003217
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Calibration of Swarm Ion Density, Drift, and Effective Mass Measurements.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA003463
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A Theory of Maximum Entropy Production and Its Application to Microwave Remote Sensing—Simultaneous Retrieval of Soil Moisture and Vegetation Water Content.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA003119
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Prediction of Tsunami Alert Levels Using Deep Learning.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA003385
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Machine Learning‐Based Wave Model With High Spatial Resolution in Chesapeake Bay.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA003303
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On the Non‐Linear Nature of Long‐Term Sea Surface Temperature Global Trends.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA003302
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Ground Heat Flux Reconstruction Using Bayesian Uncertainty Quantification Machinery and Surrogate Modeling.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA003435
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Leveraging Spatial Metadata in Machine Learning for Improved Objective Quantification of Geological Drill Core.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA003220
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Improving GNSS PPP Performance in the South China Under Different Weather Conditions by Using the Weather Research and Forecasting (WRF) Model‐Derived Wet Delay Corrections.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA003136
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Oriented Bedrock Samples Drilled by the Perseverance Rover on Mars.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA003322
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Drought‐Induced Vertical Displacements and Water Loss in the Po River Basin (Northern Italy) From GNSS Measurements.
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- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1029/2023EA003326
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Issue Information.
- Published in:
- Earth & Space Science, 2024, v. 11, n. 3, p. 1, doi. 10.1002/ess2.1472
- Publication type:
- Article