Works matching AU Ebert-Uphoff, Imme

Results: 32

Leveraging spatiotemporal information in meteorological image sequences: From feature engineering to neural networks.

Published in:

Environmental Data Science, 2023, v. 2, p. 1, doi. 10.1017/eds.2023.26

By:

Bansal, Akansha S.;
Yoonjin Lee;
Hilburn, Kyle;
Ebert-Uphoff, Imme

Publication type:

Article

Why we need to focus on developing ethical, responsible, and trustworthy artificial intelligence approaches for environmental science.

Published in:

Environmental Data Science, 2022, v. 1, p. 1, doi. 10.1017/eds.2022.5

By:

McGovern, Amy;
Ebert-Uphoff, Imme;
Gagne II, David John;
Bostrom, Ann

Publication type:

Article

Neural network attribution methods for problems in geoscience: A novel synthetic benchmark dataset.

Published in:

Environmental Data Science, 2022, v. 1, p. 1, doi. 10.1017/eds.2022.7

By:

Mamalakis, Antonios;
Ebert-Uphoff, Imme;
Barnes, Elizabeth A.

Publication type:

Article

Applying machine learning methods to detect convection using Geostationary Operational Environmental Satellite-16 (GOES-16) advanced baseline imager (ABI) data.

Published in:

Atmospheric Measurement Techniques, 2021, v. 14, n. 4, p. 2699, doi. 10.5194/amt-14-2699-2021

By:

Lee, Yoonjin;
Kummerow, Christian D.;
Ebert-Uphoff, Imme

Publication type:

Article

Causal Discovery for Climate Research Using Graphical Models.

Published in:

Journal of Climate, 2012, v. 25, n. 17, p. 5648, doi. 10.1175/JCLI-D-11-00387.1

By:

Ebert-Uphoff, Imme;
Yi Deng

Publication type:

Article

New Exploratory Tools for Extremal Dependence: χ Networks and Annual Extremal Networks.

Published in:

Journal of Agricultural, Biological & Environmental Statistics (JABES), 2019, v. 24, n. 3, p. 484, doi. 10.1007/s13253-019-00356-4

By:

Huang, Whitney K.;
Cooley, Daniel S.;
Ebert-Uphoff, Imme;
Chen, Chen;
Chatterjee, Snigdhansu

Publication type:

Article

Evaluating Lossy Data Compression on Climate Simulation Data within a Large Ensemble.

Published in:

2016

By:

Baker, Allison H.;
Hammerling, Dorit M.;
Mickleson, Sheri A.;
Haiying Xu;
Stolpe, Martin B.;
Naveau, Phillipe;
Sanderson, Ben;
Ebert-Uphoff, Imme;
Samarasinghe, Savini;
De Simone, Francesco;
Carbone, Francesco;
Gencarelli, Christian N.;
Dennis, John M.;
Kay, Jennifer E.;
Lindstrom, Peter

Publication type:

Abstract

Evaluating lossy data compression on climate simulation data within a large ensemble.

Published in:

Geoscientific Model Development, 2016, v. 9, n. 12, p. 4381, doi. 10.5194/gmd-9-4381-2016

By:

Baker, Allison H.;
Hammerling, Dorit M.;
Mickelson, Sheri A.;
Haiying Xu;
Stolpe, Martin B.;
Naveau, Phillipe;
Sanderson, Ben;
Ebert-Uphoff, Imme;
Samarasinghe, Savini;
De Simone, Francesco;
Carbone, Francesco;
Gencarelli, Christian N.;
Dennis, John M.;
Kay, Jennifer E.;
Lindstrom, Peter

Publication type:

Article

Bridging sustainability science, earth science, and data science through interdisciplinary education.

Published in:

Sustainability Science, 2020, v. 15, n. 2, p. 647, doi. 10.1007/s11625-019-00735-3

By:

Pennington, Deana;
Ebert-Uphoff, Imme;
Freed, Natalie;
Martin, Jo;
Pierce, Suzanne A.

Publication type:

Article

A Causality-Based View of the Interaction between Synoptic- and Planetary-Scale Atmospheric Disturbances.

Published in:

Journal of the Atmospheric Sciences, 2020, v. 77, n. 3, p. 925, doi. 10.1175/JAS-D-18-0163.1

By:

Samarasinghe, Savini M.;
Deng, Yi;
Ebert-Uphoff, Imme

Publication type:

Article

Detection of Forced Change Within Combined Climate Fields Using Explainable Neural Networks.

Published in:

Journal of Advances in Modeling Earth Systems, 2022, v. 14, n. 7, p. 1, doi. 10.1029/2021MS002941

By:

Rader, Jamin K.;
Barnes, Elizabeth A.;
Ebert‐Uphoff, Imme;
Anderson, Chuck

Publication type:

Article

Indicator Patterns of Forced Change Learned by an Artificial Neural Network.

Published in:

Journal of Advances in Modeling Earth Systems, 2020, v. 12, n. 9, p. 1, doi. 10.1029/2020MS002195

By:

Barnes, Elizabeth A.;
Toms, Benjamin;
Hurrell, James W.;
Ebert‐Uphoff, Imme;
Anderson, Chuck;
Anderson, David

Publication type:

Article

Physically Interpretable Neural Networks for the Geosciences: Applications to Earth System Variability.

Published in:

Journal of Advances in Modeling Earth Systems, 2020, v. 12, n. 9, p. 1, doi. 10.1029/2019MS002002

By:

Toms, Benjamin A.;
Barnes, Elizabeth A.;
Ebert‐Uphoff, Imme

Publication type:

Article

AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography.

Published in:

AI Magazine, 2024, v. 45, n. 1, p. 105, doi. 10.1002/aaai.12160

By:

McGovern, Amy;
Ebert‐Uphoff, Imme;
Barnes, Elizabeth A.;
Bostrom, Ann;
Cains, Mariana G.;
Davis, Phillip;
Demuth, Julie L.;
Diochnos, Dimitrios I.;
Fagg, Andrew H.;
Tissot, Philippe;
Williams, John K.;
Wirz, Christopher D.

Publication type:

Article

Development and Interpretation of a Neural-Network-Based Synthetic Radar Reflectivity Estimator Using GOES-R Satellite Observations.

Published in:

Journal of Applied Meteorology & Climatology, 2021, v. 60, n. 1, p. 3, doi. 10.1175/JAMC-D-20-0084.1

By:

Hilburn, Kyle A.;
Ebert-Uphoff, Imme;
Miller, Steven D.

Publication type:

Article

A Comparison of AI Weather Prediction and Numerical Weather Prediction Models for 1–7-Day Precipitation Forecasts.

Published in:

Weather & Forecasting, 2025, v. 40, n. 4, p. 561, doi. 10.1175/WAF-D-24-0081.1

By:

Radford, Jacob T.;
Ebert-Uphoff, Imme;
Stewart, Jebb Q.

Publication type:

Article

Emulating Daytime ABI Cloud Optical Properties at Night With Machine Learning.

Published in:

Journal of Geophysical Research. Atmospheres, 2025, v. 130, n. 12, p. 1, doi. 10.1029/2024JD042829

By:

White, Charles H.;
Noh, Yoo‐Jeong;
Haynes, John M.;
Ebert‐Uphoff, Imme

Publication type:

Article

Using Deep Learning to Nowcast the Spatial Coverage of Convection from Himawari-8 Satellite Data.

Published in:

Monthly Weather Review, 2021, v. 149, n. 12, p. 3897, doi. 10.1175/MWR-D-21-0096.1

By:

Lagerquist, Ryan;
Stewart, Jebb Q.;
Ebert-Uphoff, Imme;
Kumler, Christina

Publication type:

Article

Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences.

Published in:

2024

By:

Bostrom, Ann;
Demuth, Julie L.;
Wirz, Christopher D.;
Cains, Mariana G.;
Schumacher, Andrea;
Madlambayan, Deianna;
Bansal, Akansha Singh;
Bearth, Angela;
Chase, Randy;
Crosman, Katherine M.;
Ebert‐Uphoff, Imme;
Gagne, David John;
Guikema, Seth;
Hoffman, Robert;
Johnson, Branden B.;
Kumler‐Bonfanti, Christina;
Lee, John D.;
Lowe, Anna;
McGovern, Amy;
Przybylo, Vanessa

Publication type:

Literature Review

Strengthened Causal Connections Between the MJO and the North Atlantic With Climate Warming.

Published in:

Geophysical Research Letters, 2021, v. 48, n. 5, p. 1, doi. 10.1029/2020GL091168

By:

Samarasinghe, Savini M.;
Connolly, Charlotte;
Barnes, Elizabeth A.;
Ebert‐Uphoff, Imme;
Sun, Lantao

Publication type:

Article

Viewing Forced Climate Patterns Through an AI Lens.

Published in:

Geophysical Research Letters, 2019, v. 46, n. 22, p. 13389, doi. 10.1029/2019GL084944

By:

Barnes, Elizabeth A.;
Hurrell, James W.;
Ebert‐Uphoff, Imme;
Anderson, Chuck;
Anderson, David

Publication type:

Article

Applying machine learning methods to detect convection using GOES-16 ABI data.

Published in:

2020

By:

Yoonjin Lee;
Kummerow, Christian D.;
Ebert-Uphoff, Imme

Publication type:

Abstract

Estimating Full Longwave and Shortwave Radiative Transfer with Neural Networks of Varying Complexity.

Published in:

Journal of Atmospheric & Oceanic Technology, 2023, v. 40, n. 11, p. 1407, doi. 10.1175/JTECH-D-23-0012.1

By:

Lagerquist, Ryan;
Turner, David D.;
Ebert-Uphoff, Imme;
Stewart, Jebb Q.

Publication type:

Article

Low Cloud Detection in Multilayer Scenes Using Satellite Imagery with Machine Learning Methods.

Published in:

Journal of Atmospheric & Oceanic Technology, 2022, v. 39, n. 3, p. 319, doi. 10.1175/JTECH-D-21-0084.1

By:

Haynes, John M.;
Noh, Yoo-Jeong;
Miller, Steven D.;
Haynes, Katherine D.;
Ebert-Uphoff, Imme;
Heidinger, Andrew

Publication type:

Article

Using Deep Learning to Emulate and Accelerate a Radiative Transfer Model.

Published in:

Journal of Atmospheric & Oceanic Technology, 2021, v. 38, n. 10, p. 1673, doi. 10.1175/JTECH-D-21-0007.1

By:

Lagerquist, Ryan;
Turner, David;
Ebert-Uphoff, Imme;
Stewart, Jebb;
Hagerty, Venita

Publication type:

Article

Identifying and Categorizing Bias in AI/ML for Earth Sciences.

Published in:

Bulletin of the American Meteorological Society, 2024, v. 105, n. 3, p. E567, doi. 10.1175/BAMS-D-23-0196.1

By:

McGovern, Amy;
Bostrom, Ann;
McGraw, Marie;
Chase, Randy J.;
Gagne II, David John;
Ebert-Uphoff, Imme;
Musgrave, Kate D.;
Schumacher, Andrea

Publication type:

Article

Trustworthy Artificial Intelligence for Environmental Sciences.

Published in:

Bulletin of the American Meteorological Society, 2023, v. 104, n. 6, p. E1222, doi. 10.1175/BAMS-D-22-0225.1

By:

McGovern, Amy;
Gagne II, David John;
Wirz, Christopher D.;
Ebert-Uphoff, Imme;
Bostrom, Ann;
Rao, Yuhan;
Schumacher, Andrea;
Flora, Montgomery;
Chase, Randy;
Mamalakis, Antonios;
McGraw, Marie;
Lagerquist, Ryan;
Redmon, Robert J.;
Peterson, Taysia

Publication type:

Article

NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES).

Published in:

Bulletin of the American Meteorological Society, 2022, v. 103, n. 7, p. E1658, doi. 10.1175/BAMS-D-21-0020.1

By:

McGovern, Amy;
Bostrom, Ann;
Davis, Phillip;
Demuth, Julie L.;
Ebert-Uphoff, Imme;
Ruoying He;
Hickey, Jason;
Gagne, David John;
Snook, Nathan;
Stewart, Jebb Q.;
Thorncroft, Christopher;
Tissot, Philippe;
Williams, John K.

Publication type:

Article

Evaluation, Tuning, and Interpretation of Neural Networks for Working with Images in Meteorological Applications.

Published in:

Bulletin of the American Meteorological Society, 2020, v. 101, n. 12, p. E2149, doi. 10.1175/BAMS-D-20-0097.1

By:

Ebert-Uphoff, Imme;
Hilburn, Kyle

Publication type:

Article

Tropospheric and Stratospheric Causal Pathways Between the MJO and NAO.

Published in:

Journal of Geophysical Research. Atmospheres, 2019, v. 124, n. 16, p. 9356, doi. 10.1029/2019JD031024

By:

Barnes, Elizabeth A.;
Samarasinghe, Savini M.;
Ebert‐Uphoff, Imme;
Furtado, Jason C.

Publication type:

Article

Weakening of atmospheric information flow in a warming climate in the Community Climate System Model.

Published in:

Geophysical Research Letters, 2014, v. 41, n. 1, p. 193, doi. 10.1002/2013GL058646

By:

Deng, Yi;
Ebert-Uphoff, Imme

Publication type:

Article

A new type of climate network based on probabilistic graphical models: Results of boreal winter versus summer.

Published in:

Geophysical Research Letters, 2012, v. 39, n. 19, p. n/a, doi. 10.1029/2012GL053269

By:

Ebert-Uphoff, Imme;
Deng, Yi

Publication type:

Article