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Testing discharge assimilation strategies to enhance short-range AI-based operational rainfall–runoff forecasts
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Assimilation of Fullness to Improve the Intensity and Structure of Tropical Cyclone Forecasting
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Wildfire, Suppression, and Federal Spending, 2020–2100
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Impact of reduced non-Gaussianity on analysis and forecast accuracy by assimilating every-30 s radar observation with ensemble Kalman filter: idealized experiments of deep convection
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Impact of Observation Errors on All‐Sky Satellite Microwave Data Assimilation. Part II: Refining Variational Bias Correction (VarBC) for Improved Analysis and Forecast in GFDL SHiELD
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Exploring the influence of spatio-temporal scale differences in coupled data assimilation
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Strongly Coupled Data Assimilation for Paleoclimate Reconstruction Using Deep Learning‐Based Models
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Decadal Amplification of Wildfire‐Induced Perturbations in Summer Surface Energy Partitioning Across the Boreal Forest Biome
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Development and preliminary validation of an EnKF-like image assimilation system for the Common Land Model
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On process-oriented conditional targeted covariance inflation (TCI) for 3D-volume radar data assimilation
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Development of the TCWA2 bulk cloud microphysics scheme and its integration with a dual-polarization radar operator for forecasting applications
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Representation of East Pacific Easterly Waves in Subseasonal‐To‐Seasonal Forecasts of the Unified Forecast System
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Observational Uncertainty in Deep Learning Climate Downscaling and Projections
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Assimilation of Satellite‐Based Forest Biomass, Productivity and Leaf Area Index in a Global Land Model Incorporating Parameter Spatial Variations and Age Effects
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Effects of Wintertime Snow Depth Assimilation on Summertime Sea Ice Prediction Experiments Utilizing a Fully Coupled Regional Arctic Model With Perfect Boundary Conditions
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Impact of Observation Errors on All‐Sky Satellite Microwave Data Assimilation. Part I: Interplay Between Observation Error and Variational Bias Correction (VarBC)
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Technical note: Benchmarking large-domain model performance under sampling uncertainty
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Multi-site learning for hydrological uncertainty prediction: the case of quantile random forests
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Assessing Dominant Uncertainties in Future Precipitation Projections for a Hurricane‐Prone Region
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Evaluating modifications to Tiedtke cumulus parameterization for improving summer precipitation forecasts in the nested grid of Taiwan Global Forecast System (TGFS v1.1)
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Evaluation of Ensemble‐Based Extreme Forecast Diagnostics for Zonda Wind Prediction
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A self-supervised precipitation forecast verification based on contrastive learning
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Rederivation of the centroid formulation in a second-order conservative remapping scheme on spherical coordinates
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OIRF-LEnKF v1.0: a novel data assimilation system by integrating incremental machine learning with a localized EnKF for enhanced PM2.5 chemical component simulation and reanalysis