Deep Learning for Spatially Explicit Prediction of Synoptic-Scale Fronts von Lagerquist, Ryan, McGovern, Amy, Gagne II, David John

Volltext

Increasing the Reproducibility and Replicability of Supervised AI/ML in the Earth Systems Science by Leveraging Social Science Methods von Wirz, Christopher D., Sutter, Carly, Demuth, Julie L., Mayer, Kirsten J., Chapman, William E., Cains, Mariana Goodall, Radford, Jacob, Przybylo, Vanessa, Evans, Aaron, Martin, Thomas, Gaudet, Lauriana C., Sulia, Kara, Bostrom, Ann, Gagne, David John, Bassill, Nick, Schumacher, Andrea, Thorncroft, Christopher

Volltext

A Hybrid Analog-Ensemble–Convolutional-Neural-Network Method for Postprocessing Precipitation Forecasts von Sha, Yingkai, Gagne, David John, West, Gregory, Stull, Roland

Volltext

Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model von Gagne, David John, Christensen, Hannah M., Subramanian, Aneesh C., Monahan, Adam H.

Volltext

SOLAR ENERGY PREDICTION: An International Contest to Initiate Interdisciplinary Research on Compelling Meteorological Problems von McGovern, Amy, John Gagne, David, Basara, Jeffrey, Hamill, Thomas M., Margolin, David

Volltext

Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms von Gagne II, David John, Haupt, Sue Ellen, Nychka, Douglas W., Thompson, Gregory

Volltext

Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain. Part I: Daily Maximum and Minimum 2-m Temperature von Sha, Yingkai, Gagne, David John, West, Gregory, Stull, Roland

Volltext

Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain. Part II: Daily Precipitation von Sha, Yingkai, Gagne, David John, West, Gregory, Stull, Roland

Volltext

Deep Learning on Three-Dimensional Multiscale Data for Next-Hour Tornado Prediction von Lagerquist, Ryan, McGovern, Amy, Homeyer, Cameron R., Gagne II, David John, Smith, Travis

Volltext

Calibration of Machine Learning–Based Probabilistic Hail Predictions for Operational Forecasting von Burke, Amanda, Snook, Nathan, Gagne II, David John, McCorkle, Sarah, McGovern, Amy

Volltext

Identifying and Categorizing Bias in AI/ML for Earth Sciences von McGovern, Amy, Bostrom, Ann, McGraw, Marie, Chase, Randy J., Gagne, David John, Ebert-Uphoff, Imme, Musgrave, Kate D., Schumacher, Andrea

Volltext

Evaluation of statistical learning configurations for gridded solar irradiance forecasting von Gagne, David John, McGovern, Amy, Haupt, Sue Ellen, Williams, John K.

Volltext

Probabilistic Machine Learning Estimation of Ocean Mixed Layer Depth from Dense Satellite and Sparse In-Situ Observations von Foster, Dallas, II, David John Gagne, Whitt, Daniel B

Volltext

A hybrid analog-ensemble, convolutional-neural-network method for post-processing precipitation forecasts von Sha, Yingkai, Gagne II, David John, West, Gregory, Stull, Roland

Volltext

NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES) von McGovern, Amy, Bostrom, Ann, Davis, Phillip, Demuth, Julie L., Ebert-Uphoff, Imme, He, Ruoying, Hickey, Jason, Gagne, David John, Snook, Nathan, Stewart, Jebb Q., Thorncroft, Christopher, Tissot, Philippe, Williams, John K.

Volltext

USING ARTIFICIAL INTELLIGENCE TO IMPROVE REAL-TIME DECISION-MAKING FOR HIGH-IMPACT WEATHER: Modern artificial intelligence techniques can aid forecasters on a wide variety of high-... von McGovern, Amy, Elmore, Kimberly L, Gagne, David John, II, Haupt, Sue Ellen, Karstens, Christopher D, Lagerquist, Ryan, Smith, Travis, Williams, John K

Volltext

Classification of Convective Areas Using Decision Trees von Gagne, David John, McGovern, Amy, Brotzge, Jerry

Volltext

Using spatiotemporal relational random forests to improve our understanding of severe weather processes von McGovern, Amy, John Gagne II, David, Troutman, Nathaniel, Brown, Rodger A., Basara, Jeffrey, Williams, John K.

Volltext

Coupling Data Science Techniques and Numerical Weather Prediction Models for High-Impact Weather Prediction von Gagne, David John II

Volltext bestellen

Probabilistic Machine Learning Estimation of Ocean Mixed Layer Depth from Dense Satellite and Sparse In-Situ Observations: Preprocessed Satellite and In-situ observation datasets von Foster, Dallas, Gagne II, David John, Whitt, Daniel

Volltext bestellen