Physics Guided Machine Learning Methods for Hydrology
Fuente:
arXiv
Saved in:
| Main Authors: | Khandelwal, Ankush, Xu, Shaoming, Li, Xiang, Jia, Xiaowei, Stienbach, Michael, Duffy, Christopher, Nieber, John, Kumar, Vipin |
|---|---|
| Format: | Preprint |
| Published: |
2020
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Task Aware Modulation Using Representation Learning for Upsaling of Terrestrial Carbon Fluxes
by: Rozanov, Aleksei, et al.
Published: (2026)
by: Rozanov, Aleksei, et al.
Published: (2026)
CarbonBench: A Global Benchmark for Upscaling of Carbon Fluxes Using Zero-Shot Learning
by: Rozanov, Aleksei, et al.
Published: (2026)
by: Rozanov, Aleksei, et al.
Published: (2026)
Winter Precipitation Type Diagnosis and Uncertainty Quantification with a Physically Consistent Machine Learning Method
by: Becker, Charlie, et al.
Published: (2025)
by: Becker, Charlie, et al.
Published: (2025)
Modeling Snow on Sea Ice using Physics Guided Machine Learning
by: Prasad, Ayush, et al.
Published: (2024)
by: Prasad, Ayush, et al.
Published: (2024)
Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling
by: Pathak, Jaideep, et al.
Published: (2024)
by: Pathak, Jaideep, et al.
Published: (2024)
Evaluating Deep Learning Approaches for Predictions in Unmonitored Basins with Continental-scale Stream Temperature Models
by: Willard, Jared D., et al.
Published: (2024)
by: Willard, Jared D., et al.
Published: (2024)
Physics-Informed Lightweight Machine Learning for Aviation Visibility Nowcasting Across Multiple Climatic Regimes
by: Castillo, Marcelo Cerda
Published: (2025)
by: Castillo, Marcelo Cerda
Published: (2025)
Hydrologic Cycle Weakening in Hothouse Climates
by: Liu, Jiachen, et al.
Published: (2024)
by: Liu, Jiachen, et al.
Published: (2024)
Machine Learning for Cloud Detection in IASI Measurements: A Data-Driven SVM Approach with Physical Constraints
by: Zugarini, Chiara, et al.
Published: (2025)
by: Zugarini, Chiara, et al.
Published: (2025)
Machine Learning for Stochastic Parametrisation
by: Christensen, Hannah M., et al.
Published: (2024)
by: Christensen, Hannah M., et al.
Published: (2024)
Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System Model
by: Wang, Chenggong, et al.
Published: (2024)
by: Wang, Chenggong, et al.
Published: (2024)
Comparing Ocean Forecasts Driven with Machine Learning-based and Physics-based Atmospheric Forcings
by: Zhou, Xiaobing, et al.
Published: (2026)
by: Zhou, Xiaobing, et al.
Published: (2026)
Global atmospheric data assimilation with multi-modal masked autoencoders
by: Vandal, Thomas J., et al.
Published: (2024)
by: Vandal, Thomas J., et al.
Published: (2024)
Examining Fast Radiatively Driven Responses Using Machine-Learning Weather Emulators
by: Mahesh, Ankur, et al.
Published: (2026)
by: Mahesh, Ankur, et al.
Published: (2026)
Machine Learning Techniques for Data Reduction of Climate Applications
by: Li, Xiao, et al.
Published: (2024)
by: Li, Xiao, et al.
Published: (2024)
Atmospheric Predictability Beyond 30 Days with Machine Learning
by: Vonich, P. Trent, et al.
Published: (2025)
by: Vonich, P. Trent, et al.
Published: (2025)
On the Methodology for Assessing Vegetation Impacts on the Atmospheric Branch of the Hydrological Cycle
by: Makarieva, A. M., et al.
Published: (2026)
by: Makarieva, A. M., et al.
Published: (2026)
CloudCast -- Total Cloud Cover Nowcasting with Machine Learning
by: Partio, Mikko, et al.
Published: (2024)
by: Partio, Mikko, et al.
Published: (2024)
Exploring the Use of Machine Learning Weather Models in Data Assimilation
by: Tian, Xiaoxu, et al.
Published: (2024)
by: Tian, Xiaoxu, et al.
Published: (2024)
Probabilistic Emulation of the Community Radiative Transfer Model Using Machine Learning
by: Howard, Lucas, et al.
Published: (2025)
by: Howard, Lucas, et al.
Published: (2025)
CERA: A Framework for Improved Generalization of Machine Learning Models to Changed Climates
by: Liu, Shuchang, et al.
Published: (2025)
by: Liu, Shuchang, et al.
Published: (2025)
Site-specific Deterministic Temperature and Humidity Forecasts with Explainable and Reliable Machine Learning
by: Han, MengMeng, et al.
Published: (2024)
by: Han, MengMeng, et al.
Published: (2024)
Recommendations for Comprehensive and Independent Evaluation of Machine Learning-Based Earth System Models
by: Ullrich, Paul A., et al.
Published: (2024)
by: Ullrich, Paul A., et al.
Published: (2024)
Geographic Transferability of Machine Learning Models for Short-Term Airport Fog Forecasting
by: Castillo, Marcelo Cerda
Published: (2025)
by: Castillo, Marcelo Cerda
Published: (2025)
Machine Learning Reveals Large-scale Impact of Posidonia Oceanica on Mediterranean Sea Water
by: Trois, Celio, et al.
Published: (2024)
by: Trois, Celio, et al.
Published: (2024)
A Temporal Stochastic Bias Correction using a Machine Learning Attention model
by: Nivron, Omer, et al.
Published: (2024)
by: Nivron, Omer, et al.
Published: (2024)
The Equilibrium Response of Atmospheric Machine-Learning Models to Uniform Sea Surface Temperature Warming
by: Zhang, Bosong, et al.
Published: (2025)
by: Zhang, Bosong, et al.
Published: (2025)
Interpretable Machine Learning for Urban Heat Mitigation: Attribution and Weighting of Multi-Scale Drivers
by: Tschan, David, et al.
Published: (2025)
by: Tschan, David, et al.
Published: (2025)
Effective Benchmarks for Optical Turbulence Modeling
by: Jellen, Christopher, et al.
Published: (2024)
by: Jellen, Christopher, et al.
Published: (2024)
Multi-Year-to-Decadal Temperature Prediction using a Machine Learning Model-Analog Framework
by: Fernandez, M. A., et al.
Published: (2025)
by: Fernandez, M. A., et al.
Published: (2025)
mloz: A Highly Efficient Machine Learning-Based Ozone Parameterization for Climate Sensitivity Simulations
by: Ma, Yiling, et al.
Published: (2025)
by: Ma, Yiling, et al.
Published: (2025)
Building Machine Learning Limited Area Models: Kilometer-Scale Weather Forecasting in Realistic Settings
by: Adamov, Simon, et al.
Published: (2025)
by: Adamov, Simon, et al.
Published: (2025)
Multi-stability of Atlantic and Pacific overturning: The role of Freshwater Forcing Asymmetries and the Hydrological Cycle
by: Vanderborght, Elian, et al.
Published: (2026)
by: Vanderborght, Elian, et al.
Published: (2026)
CloudSense: A Model for Cloud Type Identification using Machine Learning from Radar data
by: Nizar, Mehzooz, et al.
Published: (2024)
by: Nizar, Mehzooz, et al.
Published: (2024)
U-Net Kalman Filter (UNetKF): An Example of Machine Learning-assisted Ensemble Data Assimilation
by: Lu, Feiyu
Published: (2024)
by: Lu, Feiyu
Published: (2024)
A Comparison of Machine Learning Algorithms for Predicting Sea Surface Temperature in the Great Barrier Reef Region
by: Quayesam, Dennis, et al.
Published: (2024)
by: Quayesam, Dennis, et al.
Published: (2024)
Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves
by: Lovo, Alessandro, et al.
Published: (2024)
by: Lovo, Alessandro, et al.
Published: (2024)
Storm Surge Modeling in the AI ERA: Using LSTM-based Machine Learning for Enhancing Forecasting Accuracy
by: Giaremis, Stefanos, et al.
Published: (2024)
by: Giaremis, Stefanos, et al.
Published: (2024)
Towards Physically Consistent Deep Learning For Climate Model Parameterizations
by: Kühbacher, Birgit, et al.
Published: (2024)
by: Kühbacher, Birgit, et al.
Published: (2024)
Physically Consistent Global Atmospheric Data Assimilation with Machine Learning in Latent Space
by: Fan, Hang, et al.
Published: (2025)
by: Fan, Hang, et al.
Published: (2025)
Similar Items
-
Task Aware Modulation Using Representation Learning for Upsaling of Terrestrial Carbon Fluxes
by: Rozanov, Aleksei, et al.
Published: (2026) -
CarbonBench: A Global Benchmark for Upscaling of Carbon Fluxes Using Zero-Shot Learning
by: Rozanov, Aleksei, et al.
Published: (2026) -
Winter Precipitation Type Diagnosis and Uncertainty Quantification with a Physically Consistent Machine Learning Method
by: Becker, Charlie, et al.
Published: (2025) -
Modeling Snow on Sea Ice using Physics Guided Machine Learning
by: Prasad, Ayush, et al.
Published: (2024) -
Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling
by: Pathak, Jaideep, et al.
Published: (2024)