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Jebb Q Stewart
Jebb Q Stewart
NOAA's Global Systems Laboratory
Verifierad e-postadress på noaa.gov
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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
1472004
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
1212002
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
882019
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
612020
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
412020
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
362021
5.2 A NEW COMPOSITE OBSERVING SYSTEM STRATEGY FOR GROUND-BASED GPS METEOROLOGY
SI Gutman, S Sahm, SB Jebb Stewart, T Smith, B Schwartz
332003
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
322021
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
262021
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
192019
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
152018
Artificial intelligence may be key to better weather forecasts
SA Boukabara, V Krasnopolsky, JQ Stewart, SG Penny, RN Hoffman, ...
Eos, 2019
82019
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
72022
DUNE FD Interface Document: Installation to Calibration Task Force
S Gollapinni, E James, K Mahn, J Stewart
DUNE doc 6847, 2019
72019
DUNE FD Interface Document: Installation Interfaces to SP Photon Detector
E James, E Segreto, J Stewart, D Warner
DUNE doc 6997, 2018
72018
DUNE FD Interface Document: Installation to DUNE Software and Computing
E James, A Norman, H Schellman, J Stewart
DUNE doc 6853, 2019
62019
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
62017
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
52003
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
42016
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
42003
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Artiklar 1–20