Browsing Artificial Intelligence for the Earth Systems by Title
Now showing items 1-20 of 170
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A 1D CNN-Based Emulator of CMAQ: Predicting NO2 Concentration over the Most Populated Urban Regions in Texas
(American Meteorological Society, 2024) -
A Convolutional Neural Network for Tropical Cyclone Wind Structure Identification in Kilometer-Scale Forecasts
(American Meteorological Society, 2024) -
A Data-Driven Probabilistic Network Approach to Assess Model Similarity in CMIP Ensembles
(American Meteorological Society, 2024) -
A Deep Learning Filter for the Intraseasonal Variability of the Tropics
(American Meteorological Society, 2023) -
A Deep Learning–Based Velocity Dealiasing Algorithm Derived from the WSR-88D Open Radar Product Generator
(American Meteorological Society, 2023) -
A Hybrid Physics–AI Model to Improve Hydrological Forecasts
(American Meteorological Society, 2023) -
A Hybrid Physics–AI Model to Improve Hydrological Forecasts
(American Meteorological Society, 2023) -
A Machine Learning Explainability Tutorial for Atmospheric Sciences
(American Meteorological Society, 2024) -
A New Approach to Predict Tributary Phosphorus Loads Using Machine Learning– and Physics-Based Modeling Systems
(American Meteorological Society, 2023) -
A Primer on Topological Data Analysis to Support Image Analysis Tasks in Environmental Science
(American Meteorological Society, 2023) -
A Primer on Topological Data Analysis to Support Image Analysis Tasks in Environmental Science
(American Meteorological Society, 2023) -
A Real-Time Spatiotemporal Machine Learning Framework for the Prediction of Nearshore Wave Conditions
(American Meteorological Society, 2023) -
A Real-Time Spatiotemporal Machine Learning Framework for the Prediction of Nearshore Wave Conditions
(American Meteorological Society, 2023) -
A Review of Recent and Emerging Machine Learning Applications for Climate Variability and Weather Phenomena
(American Meteorological Society, 2023) -
A Rose by Any Other Name: On Basic Scores from the 2 × 2 Table and the Plethora of Names Attached to Them
(American Meteorological Society, 2024) -
Accurate and Clear Quantitative Precipitation Nowcasting Based on a Deep Learning Model with Consecutive Attention and Rain-Map Discrimination
(American Meteorological Society, 2022)Deep learning models are developed for high-resolution quantitative precipitation nowcasting (QPN) in Taiwan up to 3 h ahead. Many recent works aim to accurately predict relatively rare high-rainfall events with the help ... -
Adaptive Blending of Probabilistic Precipitation Forecasts with Emphasis on Calibration and Temporal Forecast Consistency
(American Meteorological Society, 2022)A wealth of forecasting models is available for operational weather forecasting. Their strengths often depend on the lead time considered, which generates the need for a seamless combination of different forecast methods. ... -
Airborne Radar Quality Control with Machine Learning
(American Meteorological Society, 2024) -
Algorithmic Hallucinations of Near-Surface Winds: Statistical Downscaling with Generative Adversarial Networks to Convection-Permitting Scales
(American Meteorological Society, 2023) -
AMS Publications Support for Open, Transparent, and Equitable Research
(American Meteorological Society, 2023)