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Day-Ahead Hail Prediction Integrating Machine Learning with Storm-Scale Numerical Weather Models.

D. II, A. McGovern, J. Brotzge, M. Coniglio, J. Jr., and M. Xue. AAAI, page 3954-3960. AAAI Press, (2015)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

David John Cross University of Stuttgart

John Nixon University of Stuttgart

Dr. Marie Davidova University of Stuttgart

Isaac Henderson Johnson Jeyakumar University of Stuttgart

David Krach University of Stuttgart

Digital Rock Physics : A Geological Driven Workflow for the Segmentation of Anisotropic Ruhr SandstoneM. Balcewicz, M. Siegert, M. Gurris, M. Ruf, D. Krach, H. Steeb, and E. Saenger. Frontiers in Earth Science, (2021)Permeability Estimation of Regular Porous Structures : A Benchmark for Comparison of MethodsA. Wagner, E. Eggenweiler, F. Weinhardt, Z. Trivedi, D. Krach, C. Lohrmann, K. Jain, N. Karadimitriou, C. Bringedal, P. Voland and 4 other author(s). Transport in porous media, 138 (1): 1-23 (2021)Simulation of weak-inertia single-phase flow in porous materials using Smoothed Particle HydrodynamicsD. Krach, and H. Steeb. PAMM, 20 (1): e202000289 (2021)

Other publications of authors with the same name

Using spatiotemporal relational random forests to improve our understanding of severe weather processes.A. McGovern, D. II, N. Troutman, R. Brown, J. Basara, and J. Williams. Statistical Analysis and Data Mining, 4 (4): 407-429 (2011)Spatiotemporal Relational Probability Trees: An Introduction.A. McGovern, N. Hiers, M. Collier, D. II, and R. Brown. ICDM, page 935-940. IEEE Computer Society, (2008)Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning.A. McGovern, D. II, J. Williams, R. Brown, and J. Basara. Machine Learning, 95 (1): 27-50 (2014)Day-Ahead Hail Prediction Integrating Machine Learning with Storm-Scale Numerical Weather Models.D. II, A. McGovern, J. Brotzge, M. Coniglio, J. Jr., and M. Xue. AAAI, page 3954-3960. AAAI Press, (2015)Severe Hail Prediction within a Spatiotemporal Relational Data Mining Framework.D. II, A. McGovern, J. Brotzge, and M. Xue. ICDM Workshops, page 994-1001. IEEE Computer Society, (2013)Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model.D. II, H. Christensen, A. Subramanian, and A. Monahan. CoRR, (2019)Severe Weather Processes through Spatiotemporal Relational Random Forests.A. McGovern, T. Supinie, D. II, N. Troutman, M. Collier, R. Brown, J. Basara, and J. Williams. CIDU, page 213-227. NASA Ames Research Center, (2010)Machine learning enhancement of Storm Scale Ensemble precipitation forecasts.D. II, A. McGovern, and M. Xue. CIDU, page 39-46. IEEE, (2012)

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Disambiguation of "II, David John Gagne"

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Day-Ahead Hail Prediction Integrating Machine Learning with Storm-Scale Numerical Weather Models.

Please choose a person to relate this publication to

David John Cross University of Stuttgart

John Nixon University of Stuttgart

Dr. Marie Davidova University of Stuttgart

Isaac Henderson Johnson Jeyakumar University of Stuttgart

David Krach University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "II, David John Gagne"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Day-Ahead Hail Prediction Integrating Machine Learning with Storm-Scale Numerical Weather Models.

Please choose a person to relate this publication to

David John Cross University of Stuttgart

John Nixon University of Stuttgart

Dr. Marie Davidova University of Stuttgart

Isaac Henderson Johnson Jeyakumar University of Stuttgart

David Krach University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Day-Ahead Hail Prediction Integrating Machine Learning with Storm-Scale Numerical Weather Models.