131 results on '"Rasp, Stephan"'
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2. Climate-invariant machine learning.
3. Neural General Circulation Models for Weather and Climate
4. WeatherBench 2: A benchmark for the next generation of data-driven global weather models
5. The role of internal variability in global climate projections of extreme events
6. WeatherBench Probability: A benchmark dataset for probabilistic medium-range weather forecasting along with deep learning baseline models
7. Increasing the accuracy and resolution of precipitation forecasts using deep generative models
8. Internal variability plays a dominant role in global climate projections of temperature and precipitation extremes
9. Climate-Invariant Machine Learning
10. Data-driven medium-range weather prediction with a Resnet pretrained on climate simulations: A new model for WeatherBench
11. Towards Physically-consistent, Data-driven Models of Convection
12. WeatherBench: A benchmark dataset for data-driven weather forecasting
13. Enforcing Analytic Constraints in Neural-Networks Emulating Physical Systems
14. Coupled online learning as a way to tackle instabilities and biases in neural network parameterizations
15. Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling
16. Combining crowd-sourcing and deep learning to explore the meso-scale organization of shallow convection
17. Deep learning to represent sub-grid processes in climate models
18. Neural networks for post-processing ensemble weather forecasts
19. Do Computers Daydream of Electric Fish, Flowers, Sugar, Gravel in the and Clouds? : Crowdsourcing and Deep Learning to Explore the Mesoscale Organization of Shallow Convection
20. Combining Crowdsourcing and Deep Learning to Explore the Mesoscale Organization of Shallow Convection
21. Deep learning to represent subgrid processes in climate models
22. WeatherBench 2: A Benchmark for the Next Generation of Data‐Driven Global Weather Models.
23. Using weak constrained neural networks to improve simulations in the gray zone
24. The role of internal variability in global climate projections of extreme events
25. Using neural networks to improve simulations in the gray zone
26. Data‐Driven Medium‐Range Weather Prediction With a Resnet Pretrained on Climate Simulations: A New Model for WeatherBench
27. Using neural networks to improve simulations in the gray zone
28. Machine Learning for Clouds and Climate (Invited Chapter for the AGU Geophysical Monograph Series "Clouds and Climate")
29. Do Computers Daydream of Electric Fish, Flowers, Sugar, and Gravel in the Clouds? Crowdsourcing and Deep Learning to Explore the Mesoscale Organization of Shallow Convection
30. WeatherBench Probability: Medium-range weather forecasts with probabilistic machine learning methods.
31. Enforcing Analytic Constraints in Neural Networks Emulating Physical Systems
32. Training a convolutional neural network to conserve mass in data assimilation
33. WeatherBench: A Benchmark Data Set for Data-Driven Weather Forecasting
34. WeatherBench: A Benchmark Data Set for Data‐Driven Weather Forecasting
35. Potential and Limitations of Machine Learning for Modeling Warm‐Rain Cloud Microphysical Processes
36. WeatherBench: A Benchmark Data Set for Data‐Driven Weather Forecasting
37. Towards Physically-Consistent, Data-Driven Models of Convection
38. Training a convolutional neural network to conserve mass in data assimilation
39. Comparison of Methods Accounting for Subgrid-Scale Model Error in Convective-Scale Data Assimilation
40. Coupled online learning as a way to tackle instabilities and biases in neural network parameterizations: general algorithms and Lorenz 96 case study (v1.0)
41. Author Reply
42. Deep Learning based cloud parametrization for the Community Atmosphere Model
43. Coupled online learning as a way to tackle instabilities and biases in neural network parameterizations: general algorithms and Lorenz96 case study (v1.0)
44. Statistical methods and machine learning in weather and climate modeling
45. Using neural networks to improve simulations in the gray zone.
46. Could machine learning break the convection parametrization deadlock?
47. Stochastic Parameterization of Processes Leading to Convective Initiation in Kilometer-Scale Models
48. Relative contribution of soil moisture, boundary‐layer and microphysical perturbations on convective predictability in different weather regimes
49. Zero-Touch Provisioning of Distributed Video Analytics in a Software-Defined Metro-Haul Network with P4 Processing
50. Training a convolutional neural network to conserve mass in data assimilation.
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