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Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences.
- Published in:
- Risk Analysis: An International Journal, 2024, v. 44, n. 6, p. 1498, doi. 10.1111/risa.14245
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- Article
AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography.
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- AI Magazine, 2024, v. 45, n. 1, p. 105, doi. 10.1002/aaai.12160
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- Article
Identifying and Categorizing Bias in AI/ML for Earth Sciences.
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- Bulletin of the American Meteorological Society, 2024, v. 105, n. 3, p. E567, doi. 10.1175/BAMS-D-23-0196.1
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- Article
Estimating Full Longwave and Shortwave Radiative Transfer with Neural Networks of Varying Complexity.
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- Journal of Atmospheric & Oceanic Technology, 2023, v. 40, n. 11, p. 1407, doi. 10.1175/JTECH-D-23-0012.1
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- Article
Trustworthy Artificial Intelligence for Environmental Sciences.
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- Bulletin of the American Meteorological Society, 2023, v. 104, n. 6, p. E1222, doi. 10.1175/BAMS-D-22-0225.1
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- Article
Leveraging spatiotemporal information in meteorological image sequences: From feature engineering to neural networks.
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- Environmental Data Science, 2023, v. 2, p. 1, doi. 10.1017/eds.2023.26
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- Article
NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES).
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- Bulletin of the American Meteorological Society, 2022, v. 103, n. 7, p. E1658, doi. 10.1175/BAMS-D-21-0020.1
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- Article
Detection of Forced Change Within Combined Climate Fields Using Explainable Neural Networks.
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- Journal of Advances in Modeling Earth Systems, 2022, v. 14, n. 7, p. 1, doi. 10.1029/2021MS002941
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- Article
Low Cloud Detection in Multilayer Scenes Using Satellite Imagery with Machine Learning Methods.
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- Journal of Atmospheric & Oceanic Technology, 2022, v. 39, n. 3, p. 319, doi. 10.1175/JTECH-D-21-0084.1
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- Article
Neural network attribution methods for problems in geoscience: A novel synthetic benchmark dataset.
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- Environmental Data Science, 2022, v. 1, p. 1, doi. 10.1017/eds.2022.7
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- Article
Why we need to focus on developing ethical, responsible, and trustworthy artificial intelligence approaches for environmental science.
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- Environmental Data Science, 2022, v. 1, p. 1, doi. 10.1017/eds.2022.5
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- 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
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- Article
Using Deep Learning to Emulate and Accelerate a Radiative Transfer Model.
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- Journal of Atmospheric & Oceanic Technology, 2021, v. 38, n. 10, p. 1673, doi. 10.1175/JTECH-D-21-0007.1
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- Article
Applying machine learning methods to detect convection using Geostationary Operational Environmental Satellite-16 (GOES-16) advanced baseline imager (ABI) data.
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- Atmospheric Measurement Techniques, 2021, v. 14, n. 4, p. 2699, doi. 10.5194/amt-14-2699-2021
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- Article
Strengthened Causal Connections Between the MJO and the North Atlantic With Climate Warming.
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- Geophysical Research Letters, 2021, v. 48, n. 5, p. 1, doi. 10.1029/2020GL091168
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- Article
Development and Interpretation of a Neural-Network-Based Synthetic Radar Reflectivity Estimator Using GOES-R Satellite Observations.
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- Journal of Applied Meteorology & Climatology, 2021, v. 60, n. 1, p. 3, doi. 10.1175/JAMC-D-20-0084.1
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- Article
Evaluation, Tuning, and Interpretation of Neural Networks for Working with Images in Meteorological Applications.
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- Bulletin of the American Meteorological Society, 2020, v. 101, n. 12, p. E2149, doi. 10.1175/BAMS-D-20-0097.1
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- Article
Applying machine learning methods to detect convection using GOES-16 ABI data.
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- 2020
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- Abstract
Indicator Patterns of Forced Change Learned by an Artificial Neural Network.
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- Journal of Advances in Modeling Earth Systems, 2020, v. 12, n. 9, p. 1, doi. 10.1029/2020MS002195
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- Article
Physically Interpretable Neural Networks for the Geosciences: Applications to Earth System Variability.
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- Journal of Advances in Modeling Earth Systems, 2020, v. 12, n. 9, p. 1, doi. 10.1029/2019MS002002
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- Article
A Causality-Based View of the Interaction between Synoptic- and Planetary-Scale Atmospheric Disturbances.
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- Journal of the Atmospheric Sciences, 2020, v. 77, n. 3, p. 925, doi. 10.1175/JAS-D-18-0163.1
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- Article
Bridging sustainability science, earth science, and data science through interdisciplinary education.
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- Sustainability Science, 2020, v. 15, n. 2, p. 647, doi. 10.1007/s11625-019-00735-3
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- Article
Viewing Forced Climate Patterns Through an AI Lens.
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- Geophysical Research Letters, 2019, v. 46, n. 22, p. 13389, doi. 10.1029/2019GL084944
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- Article
New Exploratory Tools for Extremal Dependence: χ Networks and Annual Extremal Networks.
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- Journal of Agricultural, Biological & Environmental Statistics (JABES), 2019, v. 24, n. 3, p. 484, doi. 10.1007/s13253-019-00356-4
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- Article
Tropospheric and Stratospheric Causal Pathways Between the MJO and NAO.
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- Journal of Geophysical Research. Atmospheres, 2019, v. 124, n. 16, p. 9356, doi. 10.1029/2019JD031024
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- Article
Evaluating lossy data compression on climate simulation data within a large ensemble.
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- Geoscientific Model Development, 2016, v. 9, n. 12, p. 4381, doi. 10.5194/gmd-9-4381-2016
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- Article
Evaluating Lossy Data Compression on Climate Simulation Data within a Large Ensemble.
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- 2016
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- Abstract
Weakening of atmospheric information flow in a warming climate in the Community Climate System Model.
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- Geophysical Research Letters, 2014, v. 41, n. 1, p. 193, doi. 10.1002/2013GL058646
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- Article
A new type of climate network based on probabilistic graphical models: Results of boreal winter versus summer.
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- Geophysical Research Letters, 2012, v. 39, n. 19, p. n/a, doi. 10.1029/2012GL053269
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- Article
Causal Discovery for Climate Research Using Graphical Models.
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- Journal of Climate, 2012, v. 25, n. 17, p. 5648, doi. 10.1175/JCLI-D-11-00387.1
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- Article