Machine Learning for Climate Science
Co-organized by AS5/ESSI1/NP4
Convener:
Duncan Watson-Parris
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Co-conveners:
Katarzyna (Kasia) TokarskaECSECS,
Marlene KretschmerECSECS,
Sebastian Sippel,
Gustau Camps-Valls
Orals
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Fri, 28 Apr, 08:30–12:25 (CEST), 14:00–15:40 (CEST) Room N1
Posters on site
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Attendance Fri, 28 Apr, 16:15–18:00 (CEST) Hall X5
Posters virtual
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Attendance Fri, 28 Apr, 16:15–18:00 (CEST) vHall CL
This session aims to provide a venue to present the latest progress in the use of ML applied to all aspects of climate science and we welcome abstracts focussed on, but not limited to:
- Causal discovery and inference: causal impact assessment, interventions, counterfactual analysis
- Learning (causal) process and feature representations in observations or across models and observations
- Hybrid models (physically informed ML, emulation, data-model integration)
- Novel detection and attribution approaches
- Probabilistic modelling and uncertainty quantification
- Explainable AI applications to climate data science and climate modelling
- Distributional robustness, transfer learning and/or out-of-distribution generalisation tasks in climate science
Please note that a companion session “ML for Earth System modelling” focuses specifically on ML for model improvement, particularly for near-term time-scales (including seasonal and decadal) forecasting, and related abstracts should be submitted there.
Explainable and Interpretable Machine Learning for Climate
08:30–08:40
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EGU23-15000
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ECS
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Highlight
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On-site presentation
08:50–09:00
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EGU23-6061
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ECS
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Highlight
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On-site presentation
09:00–09:10
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EGU23-6450
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ECS
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On-site presentation
09:20–09:30
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EGU23-10568
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ECS
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On-site presentation
09:40–09:50
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EGU23-102
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ECS
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On-site presentation
09:50–10:00
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EGU23-3457
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Virtual presentation
10:00–10:10
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EGU23-6306
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ECS
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Highlight
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On-site presentation
Coffee break
Chairpersons: Marlene Kretschmer, Gustau Camps-Valls
General Session
11:05–11:15
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EGU23-4044
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ECS
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On-site presentation
11:15–11:25
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EGU23-1502
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ECS
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On-site presentation
11:25–11:35
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EGU23-14856
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ECS
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Virtual presentation
11:35–11:45
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EGU23-10431
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On-site presentation
11:55–12:05
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EGU23-12889
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On-site presentation
12:05–12:15
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EGU23-849
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ECS
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On-site presentation
12:15–12:25
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EGU23-753
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ECS
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Highlight
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On-site presentation
Lunch break
Chairpersons: Sebastian Sippel, Marlene Kretschmer
Extreme Events and Climate Hazards
14:00–14:10
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EGU23-8615
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Highlight
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On-site presentation
14:10–14:20
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EGU23-12657
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Highlight
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On-site presentation
14:20–14:30
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EGU23-16443
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ECS
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On-site presentation
14:30–14:40
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EGU23-984
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ECS
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On-site presentation
14:40–14:50
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EGU23-12948
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ECS
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On-site presentation
15:00–15:10
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EGU23-16449
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On-site presentation
15:10–15:20
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EGU23-14493
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ECS
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On-site presentation
15:20–15:30
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EGU23-9810
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ECS
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On-site presentation
15:30–15:40
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EGU23-11238
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ECS
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Highlight
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Virtual presentation
X5.228
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EGU23-2986
Measuring atmospheric turbulence using Background Oriented Schlieren and machine learning
(withdrawn)
X5.230
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EGU23-3418
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ECS
X5.231
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EGU23-3619
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ECS
X5.233
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EGU23-4432
Climatic micro-zonation of Naples (Italy) through Landsat and machine learning
(withdrawn)
X5.234
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EGU23-5487
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ECS
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Highlight
X5.236
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EGU23-8496
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ECS
X5.238
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EGU23-9434
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ECS
X5.241
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EGU23-15540
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ECS
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Highlight
X5.247
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EGU23-2541
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ECS
X5.248
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EGU23-4296
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ECS
Towards Super-Resolution SAR Tomography of Forest Areas using Deep Learning-Assisted Compressive Sensing
(withdrawn)
X5.251
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EGU23-7465
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ECS
X5.252
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EGU23-8085
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ECS