Select Conference Presentations and Extended Abstracts Given in 2021
Martinaitis, S. M., M. Simpson, A. Arthur, J. Zhang, and K. Howard, 2021: Performance of MRMS QPEs at different spatial resolutions. 46th Natl. Wea. Assoc. Annual Meeting, Tulsa, OK, 113.
Grams, H. S. A. Upadhyaya, and P. E. Kirstetter, 2021: Exploratory analysis of convolutional neural networks for prediction of precipitation rates from GOES-16. 20th Conf. on Artificial Intelligence, Amer. Meteor. Soc., 818. [Link]
Kirstetter, P., M. Simpson, J. Zhang, S. Martinaitis, J. J. Gourley, H. Grams, N. Indik, and C. Langston, 2021: Probabilistic precipitation retrievals for hazard applications. 11th Conf. on Transition of Research to Operations, Amer. Meteor. Soc., 11.6. [Link]
Martinaitis, S., M. Simpson, A. Arthur, J. Zhang, and K. Howard, 2021: Performance of MRMS QPEs at different spatial resolutions. 35th Conf. on Hydrology, Amer. Meteor. Soc., 730. [Link]
Osborne, A., M. Simpson, J. Zhang, S. Cocks, and K. Howard, 2021: Application of machine learning and physically-based techniques to improve Multi-Radar Multi-Sensor (MRMS) precipitation estimates in complex terrain. 35th Conf. on Hydrology, Amer. Meteor. Soc., 936. [Link]
Reinhart, A. E., J. Brogden, K. Cooper, R. Toomey, C. Langston, N. Indik, H. Grams, K. Howard, and A. Gerard, 2021: The Multi-Radar Multi-Sensor (MRMS) system exploring clouds: Initial foray toward a cloud solution. 37th Conf. on Environmental Information Processing Technologies, Amer. Meteor. Soc., 6.5. [Link]
Santer, H., and H. Grams, 2021: Evaluation and uncertainty of MRMS v12 dual-polarized radar quantitative estimation products. 35th Conf. on Hydrology, Amer. Meteor. Soc., 10.ii.5. [Link]