| Development of a human–machine mix for forecasting severe convective events CD Karstens, J Correia, DS LaDue, J Wolfe, TC Meyer, DR Harrison, ... Weather and Forecasting 33 (3), 715-737, 2018 | 55 | 2018 |
| A machine learning tutorial for operational meteorology. Part I: Traditional machine learning RJ Chase, DR Harrison, A Burke, GM Lackmann, A McGovern Weather and Forecasting 37 (8), 1509-1529, 2022 | 38 | 2022 |
| A climatology of operational storm-based warnings: A geospatial analysis DR Harrison, CD Karstens Weather and Forecasting 32 (1), 47-60, 2017 | 30 | 2017 |
| A real-time, virtual spring forecasting experiment to advance severe weather prediction AJ Clark, IL Jirak, BT Gallo, B Roberts, AR Dean, KH Knopfmeier, ... Bulletin of the American Meteorological Society 102 (4), E814-E816, 2021 | 20 | 2021 |
| A machine learning tutorial for operational meteorology. Part II: Neural networks and deep learning RJ Chase, DR Harrison, GM Lackmann, A McGovern Weather and Forecasting 38 (8), 1271-1293, 2023 | 16 | 2023 |
| Utilizing the high-resolution ensemble forecast system to produce calibrated probabilistic thunderstorm guidance DR Harrison, MS Elliott, IL Jirak, PT Marsh Weather and Forecasting 37 (7), 1103-1115, 2022 | 7 | 2022 |
| The second real-time, virtual spring forecasting experiment to advance severe weather prediction AJ Clark, IL Jirak, BT Gallo, KH Knopfmeier, B Roberts, M Krocak, J Vancil, ... Bulletin of the American Meteorological Society 103 (4), E1114-E1116, 2022 | 7 | 2022 |
| Correcting, improving, and verifying automated guidance in a new warning paradigm D Harrison | 6 | 2018 |
| The third real-time, virtual Spring Forecasting Experiment to advance severe weather prediction capabilities AJ Clark, IL Jirak, BT Gallo, B Roberts, KH Knopfmeier, J Vancil, D Jahn, ... Bulletin of the American Meteorological Society 104 (2), E456-E458, 2023 | 4 | 2023 |
| Machine learning co-production in operational meteorology D Harrison | 4 | 2022 |
| Storm Evader: using an iPad to teach kids about Meteorology and technology A McGovern, A Balfour, M Beene, D Harrison Bulletin of the American Meteorological Society 96 (3), 397-404, 2015 | 4 | 2015 |
| Harnessing the Thunder: Civil Society's Care and Creativity in South Africa's COVID Storm D Harrison Porcupine Press, 2020 | 3 | 2020 |
| Winter precipitation-type classification with a 1D convolutional neural network DR Harrison, A McGovern, C Karstens, IL Jirak, PT Marsh 102nd American Meteorological Society Annual Meeting, 2022 | 2 | 2022 |
| The first hybrid NOAA Hazardous Weather Testbed Spring Forecasting Experiment for advancing severe weather prediction AJ Clark, IL Jirak, TA Supinie, KH Knopfmeier, J Vancil, D Jahn, ... Bulletin of the American Meteorological Society 104 (12), E2305-E2307, 2023 | 1 | 2023 |
| Machine Learning Tutorials for Operational Meteorology RJ Chase, DR Harrison, A Burke, GM Lackmann, A McGovern 103rd AMS Annual Meeting, 2023 | 1 | 2023 |
| Using machine learning techniques to predict near-term severe weather trends D Harrison, C Karstens, A McGovern 98th American Meteorological Society Annual Meeting, 2018 | 1 | 2018 |
| Electrochemical and conductimetric techniques for predicting paint performance KM Delargy, DR Harrison International Conference on Polymers in a Marine Environment, 2nd, 1987 | 1 | 1987 |
| Activities and Preliminary Results from the 1st Hybrid NOAA/Hazardous Weather Testbed Spring Forecasting Experiment AJ Clark, IL Jirak, TA Supinie, J Vancil, DE Jahn, KH Knopfmeier, Y Wang, ... 104th AMS Annual Meeting, 2024 | | 2024 |
| Developing Dry Thunderstorm Verification Tools to Improve Fire Weather Forecasting at NOAA’s Storm Prediction Center P Lin, MS Elliott, DR Harrison, ES Bentley, IL Jirak, J Vancil, K Halbert, ... 104th AMS Annual Meeting, 2024 | | 2024 |
| 6A. 1 PREDICTING PROBABILISTIC LIGHTNING FLASH DENSITY FROM THE HREF CALIBRATED THUNDER GUIDANCE DR Harrison, MS Elliott, IL Jirak, PT Marsh | | 2023 |
