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Spatial characteristics of the dayside auroral ionosphere observed by Incoherent Scatter Radar https://egusphere.copernicus.org/preprints/2025/egusphere-2025-6188/

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Daily Drought Prediction in the Huaihe River Basin Using VMD-informer-LSTM https://egusphere.copernicus.org/preprints/2025/egusphere-2025-5645/

Abstract. Accurate drought prediction is a key challenge in water resource management and agricultural planning. This study proposes a novel drought prediction framework that integrates Variational Mode Decomposition (VMD), Informer, and Long Short-Term Memory (LSTM) networks to enhance hydrological ...

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Advances in Monitoring Black Sea Dynamics: A New Multidecadal High-Resolution Reanalysis https://egusphere.copernicus.org/preprints/2025/egusphere-2025-2114/

Abstract. The Black Sea regional reanalysis serves as an essential tool for understanding the Black Sea’s response to climate variability and advancing regional ocean monitoring efforts. In particular, the Black Sea reanalysis (BLK-REA) is built with high spatial resolution, 1/40° horizontal ...

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EGUsphere - Bayesian analysis of early warning signals using a time-dependent model https://egusphere.copernicus.org/preprints/2024/egusphere-2024-436/

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Machine Learning vs. Conventional Methods for X-Band Radar Rainfall Estimation in Cyprus https://egusphere.copernicus.org/preprints/2026/egusphere-2026-445/

Abstract. Polarimetric X-band radars offer high-resolution precipitation observations that are often challenged by attenuation, calibration errors, and absence of routine correction procedures, which limit reliable quantitative precipitation estimation (QPE). This study proposes a two-stage machine ...

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Characterizing low and high flow spells and their temporal transitions using baseflow estimates https://egusphere.copernicus.org/preprints/2026/egusphere-2025-6333/

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Diagnosing Dissolved Organic Carbon Simulation of SWAT-C model Using Machine Learning Approaches https://egusphere.copernicus.org/preprints/2025/egusphere-2025-5503/

Abstract. Dissolved organic carbon (DOC) plays a critical role in the terrestrial carbon cycle, and accurate simulation of its dynamics is essential for understanding carbon balance and climate change mitigation. However, DOC simulations still involve large uncertainty under complex environmental ...

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Improved Comparability and System-Wide Verification to Support a Scalable Carbon Credit Market https://egusphere.copernicus.org/preprints/2026/egusphere-2025-6457/

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Impact of Sentinel-5 SWIR Detector Persistence on Trace Gas Retrievals https://egusphere.copernicus.org/preprints/2026/egusphere-2025-6328/

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EGUsphere - Horizontal transport on the continental shelf driven by periodic rotary wind stress https://egusphere.copernicus.org/preprints/2025/egusphere-2025-5187/

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Sodium Thiosulfate-Coated Ceramic Denuders for Ozone Removal in Ultrafine Particle Sampling https://egusphere.copernicus.org/preprints/2026/egusphere-2025-6287/

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Maximum Certainty Principle applied to rainfall modelling and regionalisation in Ecuador https://egusphere.copernicus.org/preprints/2026/egusphere-2026-1317/

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European runoff drought event types: From historical classification to projected future changes https://egusphere.copernicus.org/preprints/2026/egusphere-2026-973/

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Characterisation of cloud shadow transition signatures using a dense pyranometer network https://egusphere.copernicus.org/preprints/2025/egusphere-2025-5808/

Abstract. Small-scale variability of solar radiation including 3D radiative effects is poorly observed and understood. In this study, we characterise the transition of global solar horizontal irradiance from sunshine to cloud shadow and attribute the transition signature to 3D radiative effects. ...

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Unified Patterns of Topological Structure of Hydrological Characteristics in Global River Networks https://egusphere.copernicus.org/preprints/2026/egusphere-2026-1128/

Abstract. Unravelling the coupling between river network structure and hydrological fluxes is essential for understanding basin-scale dynamics. While traditional ordering methods describe macro-scale patterns, they often obscure local functional variations. This study quantifies the universal ...