E-LIB Suche - Ergebnisse für: Gagne, David John

1

A Machine Learning‐Based Approach to Quantify ENSO Sources ..:

Colfescu, Ioana ; Christensen, Hannah ; Gagne, David John
Geophysical Research Letters. 51 (2024) 13 - p. , 2024

Link: https://doi.org/10.1029/..

2

Mimicking non-ideal instrument behavior for hologram proces..:

Schreck, John ; Hayman, Matthew ; Gantos, Gabrielle..
Optics Express. , 2023

Link: https://doi.org/10.1364/..

3

Machine Learning and VIIRS Satellite Retrievals for Skillfu..:

Schreck, John S. ; Petzke, William ; Jiménez, Pedro A....
Remote Sensing. 15 (2023) 13 - p. 3372 , 2023

Link: https://doi.org/10.3390/..

4

Lessons learned in coupling atmospheric models across scale..:

Haupt, Sue Ellen ; Kosović, Branko ; Berg, Larry K....
Wind Energy Science. 8 (2023) 8 - p. 1251-1275 , 2023

Link: https://doi.org/10.5194/..

5

Neural Network Emulation of the Formation of Organic Aeroso..:

Schreck, John S. ; Becker, Charles ; Gagne, David John...
Journal of Advances in Modeling Earth Systems. 14 (2022) 10 - p. , 2022

Link: https://doi.org/10.1029/..

6

Machine Learning for Improving Surface-Layer-Flux Estimates:

McCandless, Tyler ; Gagne, David John ; Kosović, Branko...
Boundary-Layer Meteorology. 185 (2022) 2 - p. 199-228 , 2022

Link: https://doi.org/10.1007/..

7

Neural network processing of holographic images:

Schreck, John S. ; Gantos, Gabrielle ; Hayman, Matthew..
Atmospheric Measurement Techniques. 15 (2022) 19 - p. 5793-5819 , 2022

Link: https://doi.org/10.5194/..

8

A Benchmark to Test Generalization Capabilities of Deep Lea..:

Molina, Maria J. ; Gagne, David John ; Prein, Andreas F.
Earth and Space Science. 8 (2021) 9 - p. , 2021

Link: https://doi.org/10.1029/..

9

Increasing the Reproducibility and Replicability of Supervi..:

Wirz, Christopher D. ; Sutter, Carly ; Demuth, Julie L....
Earth and Space Science. 11 (2024) 7 - p. , 2024

Link: https://doi.org/10.1029/..

10

Trust and trustworthy artificial intelligence: A research a..:

Bostrom, Ann ; Demuth, Julie L. ; Wirz, Christopher D....
Risk Analysis. 44 (2023) 6 - p. 1498-1513 , 2023

Link: https://doi.org/10.1111/..

11

On the Application of an Observations‐Based Machine Learnin..:

Muñoz‐Esparza, Domingo ; Becker, Charlie ; Sauer, Jeremy A....
Journal of Geophysical Research: Atmospheres. 127 (2022) 16 - p. , 2022

Link: https://doi.org/10.1029/..

12

Why we need to focus on developing ethical, responsible, an..:

McGovern, Amy ; Ebert-Uphoff, Imme ; Gagne II, David John.
Environmental Data Science. 1 (2022) - p. , 2022

Link: https://doi.org/10.1017/..

13

Probabilistic Machine Learning Estimation of Ocean Mixed La..:

Foster, Dallas ; Gagne II, David John ; Whitt, Daniel B.
Journal of Advances in Modeling Earth Systems. 13 (2021) 12 - p. , 2021

Link: https://doi.org/10.1029/..

14

Deep-Learning-Based Gridded Downscaling of Surface Meteorol..:

Sha, Yingkai ; Gagne II, David John ; West, Gregory.
Journal of Applied Meteorology and Climatology. 59 (2020) 12 - p. 2057-2073 , 2020

Link: https://www.jstor.org/st..

15

Machine Learning for Stochastic Parameterization: Generativ..:

Gagne II, David John ; Christensen, Hannah M. ; Subramanian, Aneesh C..
Journal of Advances in Modeling Earth Systems. 12 (2020) 3 - p. , 2020

Link: https://doi.org/10.1029/..