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Michael Goodliff
Michael Goodliff
Verified email at riken.jp
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Cited by
Year
Cloud banding and winds in intense European cyclones: Results from the DIAMET project
G Vaughan, J Methven, D Anderson, B Antonescu, L Baker, TP Baker, ...
Bulletin of the American Meteorological Society 96 (2), 249-265, 2015
422015
Comparing hybrid data assimilation methods on the Lorenz 1963 model with increasing non-linearity
M Goodliff, J Amezcua, PJ Van Leeuwen
Tellus A: Dynamic Meteorology and Oceanography 67 (1), 26928, 2015
342015
Integrating recurrent neural networks with data assimilation for scalable data‐driven state estimation
SG Penny, TA Smith, TC Chen, JA Platt, HY Lin, M Goodliff, ...
Journal of Advances in Modeling Earth Systems 14 (3), e2021MS002843, 2022
322022
A weak-constraint 4DEnsembleVar. Part I: formulation and simple model experiments
J Amezcua, M Goodliff, PJ Van Leeuwen
Tellus A: dynamic meteorology and oceanography 69 (1), 1271564, 2017
242017
Temperature assimilation into a coastal ocean-biogeochemical model: assessment of weakly and strongly coupled data assimilation
M Goodliff, T Bruening, F Schwichtenberg, X Li, A Lindenthal, I Lorkowski, ...
Ocean Dynamics 69, 1217-1237, 2019
192019
A weak-constraint 4DEnsembleVar. Part II: experiments with larger models
M Goodliff, J Amezcua, PJ Van Leeuwen
Tellus A: Dynamic Meteorology and Oceanography 69 (1), 1271565, 2017
132017
Detection of Non‐Gaussian Behavior Using Machine Learning Techniques: A Case Study on the Lorenz 63 Model
M Goodliff, S Fletcher, A Kliewer, J Forsythe, A Jones
Journal of Geophysical Research: Atmospheres 125 (2), e2019JD031551, 2020
92020
Detection of non‐Gaussian Behaviour using Machine Learning Techniques: A Case Study on the Lorenz‐63 Model
M Goodliff, S Fletcher, A Kliewer, J Forsythe, A Jones
Journal of Geophysical Research: Atmospheres, 0
9*
Lognormal and Mixed Gaussian–Lognormal Kalman Filters
SJ Fletcher, M Zupanski, MR Goodliff, AJ Kliewer, AS Jones, JM Forsythe, ...
Monthly Weather Review 151 (3), 761-774, 2023
52023
Non‐Gaussian Detection Using Machine Learning With Data Assimilation Applications
MR Goodliff, SJ Fletcher, AJ Kliewer, AS Jones, JM Forsythe
Earth and Space Science 9 (4), e2021EA001908, 2022
32022
Developing 4D-Var for strongly coupled data assimilation using a coupled atmosphere–ocean quasigeostrophic model
M Goodliff, SG Penny
Monthly Weather Review 150 (9), 2443-2458, 2022
22022
Non-Gaussian Hybrid Variational Data Assimilation
S Fletcher, M Goodliff, J Hossen, A Kliewer, M Zupanski, TC Wu
AGU Fall Meeting Abstracts 2021, NG25A-0486, 2021
12021
Using Machine learning techniques to switch background error distributions to improve data assimilation
J Hossen, S Fletcher, M Goodliff
AGU Fall Meeting Abstracts 2021, NG25A-0490, 2021
12021
Integrative Hydrometeorological Applications with Precipitation, Soil Moisture, and Water Vapor Using Phone Apps, GIS, and Data Assimilation
AS Jones, AA Andales, A Burzynski, JL Chávez, O David, SJ Fletcher, ...
100th American Meteorological Society Annual Meeting, 2020
12020
Advances in Non-Gaussian Based Data Assimilation
SJ Fletcher, S Van Loon, MJ Hossen, M Goodliff, M Zupanski, A Kliewer, ...
103rd AMS Annual Meeting, 2023
2023
Integration of AI/ML with Data Assimilation for Earth System Prediction
SG Penny, HY Lin, M Goodliff, TC Chen, T Smith
Artificial Intelligence for Earth System Predictability (AI4ESP …, 2021
2021
Evaluation of Non-Gaussian Data Assimilation Behaviors in Tropical Storm Chris in 2006
AS Jones, M Goodliff, SJ Fletcher, JM Forsythe, A Kliewer
AGU Fall Meeting 2019, 2019
2019
Non-Gaussian, 1DVAR Passive Microwave Retrievals of Water Vapor in Near Realtime
JM Forsythe, SJ Fletcher, A Kliewer, AS Jones, M Goodliff
AGU Fall Meeting 2019, 2019
2019
Online Observation of Non-Gaussian and Lognormal Probability Distributions within GFS Forecasts
A Kliewer, SJ Fletcher, JM Forsythe, AS Jones, M Goodliff
AGU Fall Meeting 2019, 2019
2019
Evaluation of Non-Gaussian Data Assimilation Behaviors in Tropical Storm Chris in 2006
M Goodliff, AS Jones, SJ Fletcher, JM Forsythe, A Kliewer
AGU Fall Meeting Abstracts 2019, NG21B-0924, 2019
2019
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