Rapid retrieval and assimilation of ground based GPS precipitable water observations at the NOAA Forecast Systems Laboratory: Impact on weather forecasts SI Gutman, SR Sahm, SG Benjamin, BE Schwartz, KL Holub, JQ Stewart, ... Journal of the Meteorological Society of Japan. Ser. II 82 (1B), 351-360, 2004 | 147 | 2004 |
A climatological study of thermally driven wind systems of the US Intermountain West JQ Stewart, CD Whiteman, WJ Steenburgh, X Bian Bulletin of the American Meteorological Society 83 (5), 699-708, 2002 | 121 | 2002 |
Leveraging modern artificial intelligence for remote sensing and NWP: Benefits and challenges SA Boukabara, V Krasnopolsky, JQ Stewart, ES Maddy, N Shahroudi, ... Bulletin of the American Meteorological Society 100 (12), ES473-ES491, 2019 | 88 | 2019 |
Outlook for exploiting artificial intelligence in the earth and environmental sciences SA Boukabara, V Krasnopolsky, SG Penny, JQ Stewart, A McGovern, ... Bulletin of the American Meteorological Society, 1-53, 2020 | 61 | 2020 |
Tropical and extratropical cyclone detection using deep learning C Kumler-Bonfanti, J Stewart, D Hall, M Govett Journal of Applied Meteorology and Climatology 59 (12), 1971-1985, 2020 | 41 | 2020 |
Using deep learning to emulate and accelerate a radiative transfer model R Lagerquist, D Turner, I Ebert-Uphoff, J Stewart, V Hagerty Journal of Atmospheric and Oceanic Technology 38 (10), 1673-1696, 2021 | 36 | 2021 |
5.2 A NEW COMPOSITE OBSERVING SYSTEM STRATEGY FOR GROUND-BASED GPS METEOROLOGY SI Gutman, S Sahm, SB Jebb Stewart, T Smith, B Schwartz | 33 | 2003 |
Using Deep Learning to Nowcast the Spatial Coverage of Convection from Himawari-8 Satellite Data R Lagerquist, JQ Stewart, I Ebert-Uphoff, C Kumler Monthly Weather Review 149 (12), 3897-3921, 2021 | 32 | 2021 |
CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences--Version 1 I Ebert-Uphoff, R Lagerquist, K Hilburn, Y Lee, K Haynes, J Stock, ... arXiv preprint arXiv:2106.09757, 2021 | 26 | 2021 |
Machine learning for targeted assimilation of satellite data YJ Lee, D Hall, J Stewart, M Govett Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019 | 19 | 2019 |
Machine learning: Defining worldwide cyclone labels for training C Bonfanti, L Trailovic, J Stewart, M Govett 2018 21st International Conference on Information Fusion (FUSION), 753-760, 2018 | 15 | 2018 |
NSF AI institute for research on trustworthy AI in weather, climate, and coastal oceanography (AI2ES) A McGovern, A Bostrom, P Davis, JL Demuth, I Ebert-Uphoff, R He, ... Bulletin of the American Meteorological Society 103 (7), E1658-E1668, 2022 | 8 | 2022 |
Artificial intelligence may be key to better weather forecasts SA Boukabara, V Krasnopolsky, JQ Stewart, SG Penny, RN Hoffman, ... Eos, 2019 | 8 | 2019 |
DUNE FD Interface Document: Installation to Calibration Task Force S Gollapinni, E James, K Mahn, J Stewart DUNE doc 6847, 2019 | 7 | 2019 |
DUNE FD Interface Document: Installation Interfaces to SP Photon Detector E James, E Segreto, J Stewart, D Warner DUNE doc 6997, 2018 | 7 | 2018 |
DUNE FD Interface Document: Installation to DUNE Software and Computing E James, A Norman, H Schellman, J Stewart DUNE doc 6853, 2019 | 6 | 2019 |
Using deep learning for targeted data selection, improving satellite observation utilization for model initialization YJ Lee, CE Bonfanti, L Trailovic, B Etherton, M Govett, J Stewart AGU Fall Meeting Abstracts 2017, NG33A-0184, 2017 | 6 | 2017 |
Rapid retrieval and assimilation of ground based GPS-met observations at the NOAA Forecast Systems Laboratory: Impact on weather forecasts SI Gutman, KL Holub, SR Sahm, JQ Stewart, TL Smith, SG Benjamin, ... Proceedings of the International Workshop on GPS Meteorology—GPS …, 2003 | 5 | 2003 |
High performance real-time interactive exploration and visualization of discrete geospatial data in time and space E Hackathorn, J Stewart, J Smith, J Lynge US Patent App. 14/866,716, 2016 | 4 | 2016 |
A new composite observing system strategy for ground-based GPS meteorology, paper presented at the 12th Symposium on Meteorological Observations and Instrumentation SI Gutman, SR Sahm, J Stewart, S Benjamin, T Smith, B Schwartz Am. Meteorol. Soc., Boston, Mass, 2003 | 4 | 2003 |