- Home
- Publications
- Publication Search
- Publication Details
Title
Can deep learning beat numerical weather prediction?
Authors
Keywords
-
Journal
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
Volume 379, Issue 2194, Pages 20200097
Publisher
The Royal Society
Online
2021-02-16
DOI
10.1098/rsta.2020.0097
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- WeatherBench: A benchmark dataset for data‐driven weather forecasting
- (2020) Stephan Rasp et al. Journal of Advances in Modeling Earth Systems
- Deep Learning Based Multistep Solar Forecasting for PV Ramp-Rate Control Using Sky Images
- (2020) Haoran Wen et al. IEEE Transactions on Industrial Informatics
- Unmasking Clever Hans predictors and assessing what machines really learn
- (2019) Sebastian Lapuschkin et al. Nature Communications
- Deep learning and process understanding for data-driven Earth system science
- (2019) Markus Reichstein et al. NATURE
- Advancements in Hurricane Prediction With NOAA's Next‐Generation Forecast System
- (2019) Jan‐Huey Chen et al. GEOPHYSICAL RESEARCH LETTERS
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
- (2019) Yinhao Zhu et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms
- (2019) David John Gagne et al. MONTHLY WEATHER REVIEW
- Probabilistic spatiotemporal wind speed forecasting based on a variational Bayesian deep learning model
- (2019) Yongqi Liu et al. APPLIED ENERGY
- Deep learning for physical processes: incorporating prior scientific knowledge
- (2019) Emmanuel de Bézenac et al. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
- The set-up of the Mesoscale Verification Inter-Comparison over Complex Terrain (MesoVICT) Project
- (2018) Manfred Dorninger et al. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
- Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM
- (2018) Xiangyun Qing et al. ENERGY
- Discretization of generalized Coriolis and friction terms on the deformed hexagonal C-grid
- (2018) Almut Gassmann QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
- Intercomparison of machine learning methods for statistical downscaling: the case of daily and extreme precipitation
- (2018) Thomas Vandal et al. THEORETICAL AND APPLIED CLIMATOLOGY
- Neural Networks for Postprocessing Ensemble Weather Forecasts
- (2018) Stephan Rasp et al. MONTHLY WEATHER REVIEW
- Using Machine Learning to Parameterize Moist Convection: Potential for Modeling of Climate, Climate Change, and Extreme Events
- (2018) Paul A. O'Gorman et al. Journal of Advances in Modeling Earth Systems
- Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
- (2018) M. Raissi et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data
- (2017) Anuj Karpatne et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- A Mass-Flux Cumulus Parameterization Scheme across Gray-Zone Resolutions
- (2017) Young Cheol Kwon et al. MONTHLY WEATHER REVIEW
- A review of operational methods of variational and ensemble-variational data assimilation
- (2017) R. N. Bannister QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
- The growing impact of satellite observations sensitive to humidity, cloud and precipitation
- (2017) A. J. Geer et al. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
- Forecaster’s Dilemma: Extreme Events and Forecast Evaluation
- (2017) Sebastian Lerch et al. STATISTICAL SCIENCE
- Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources
- (2017) Xiao Xiang Zhu et al. IEEE Geoscience and Remote Sensing Magazine
- Polarimetric SAR Image Classification Using Deep Convolutional Neural Networks
- (2016) Yu Zhou et al. IEEE Geoscience and Remote Sensing Letters
- Towards Bayesian Deep Learning: A Framework and Some Existing Methods
- (2016) Hao Wang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Mastering the game of Go with deep neural networks and tree search
- (2016) David Silver et al. NATURE
- Kilometre-scale ensemble data assimilation for the COSMO model (KENDA)
- (2016) C. Schraff et al. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
- Spatial verification using wavelet transforms: a review
- (2016) Michael Weniger et al. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
- Fast atmospheric response to a sudden thinning of Arctic sea ice
- (2015) Tido Semmler et al. CLIMATE DYNAMICS
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- The quiet revolution of numerical weather prediction
- (2015) Peter Bauer et al. NATURE
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- Human-level concept learning through probabilistic program induction
- (2015) B. M. Lake et al. SCIENCE
- A Unified Representation of Deep Moist Convection in Numerical Modeling of the Atmosphere. Part II
- (2014) Chien-Ming Wu et al. JOURNAL OF THE ATMOSPHERIC SCIENCES
- The ICON (ICOsahedral Non-hydrostatic) modelling framework of DWD and MPI-M: Description of the non-hydrostatic dynamical core
- (2014) Günther Zängl et al. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
- The Parable of Google Flu: Traps in Big Data Analysis
- (2014) D. Lazer et al. SCIENCE
- Forecasting Daily Precipitation Using Hybrid Model of Wavelet-Artificial Neural Network and Comparison with Adaptive Neurofuzzy Inference System (Case Study: Verayneh Station, Nahavand)
- (2014) Abazar Solgi et al. Advances in Civil Engineering
- A Unified Representation of Deep Moist Convection in Numerical Modeling of the Atmosphere. Part I
- (2013) Akio Arakawa et al. JOURNAL OF THE ATMOSPHERIC SCIENCES
- Representing Equilibrium and Nonequilibrium Convection in Large-Scale Models
- (2013) Peter Bechtold et al. JOURNAL OF THE ATMOSPHERIC SCIENCES
- Radar Data Assimilation with WRF 4D-Var. Part I: System Development and Preliminary Testing
- (2013) Hongli Wang et al. MONTHLY WEATHER REVIEW
- An inherently mass-conserving semi-implicit semi-Lagrangian discretization of the deep-atmosphere global non-hydrostatic equations
- (2013) Nigel Wood et al. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
- Monthly Rainfall Prediction Using Wavelet Neural Network Analysis
- (2013) R. Venkata Ramana et al. WATER RESOURCES MANAGEMENT
- MCore: A non-hydrostatic atmospheric dynamical core utilizing high-order finite-volume methods
- (2012) Paul A. Ullrich et al. JOURNAL OF COMPUTATIONAL PHYSICS
- A Neural Network Nonlinear Multimodel Ensemble to Improve Precipitation Forecasts over Continental US
- (2012) Vladimir M. Krasnopolsky et al. Advances in Meteorology
- Precipitation forecasting by using wavelet-support vector machine conjunction model
- (2011) Ozgur Kisi et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Solar and photovoltaic forecasting through post-processing of the Global Environmental Multiscale numerical weather prediction model
- (2011) Sophie Pelland et al. PROGRESS IN PHOTOVOLTAICS
- Review of the use of Numerical Weather Prediction (NWP) Models for wind energy assessment
- (2010) Sultan Al-Yahyai et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Coupling ensemble Kalman filter with four-dimensional variational data assimilation
- (2009) Fuqing Zhang et al. ADVANCES IN ATMOSPHERIC SCIENCES
- A unified approach to energy conservation and potential vorticity dynamics for arbitrarily-structured C-grids
- (2009) T.D. Ringler et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Intercomparison of Spatial Forecast Verification Methods
- (2009) Eric Gilleland et al. WEATHER AND FORECASTING
- A Dual Mass Flux Framework for Boundary Layer Convection. Part I: Transport
- (2008) Roel A. J. Neggers et al. JOURNAL OF THE ATMOSPHERIC SCIENCES
- Guest editor’s introduction: special issue on inductive transfer learning
- (2008) Daniel L. Silver et al. MACHINE LEARNING
- Forecast verification: current status and future directions
- (2008) B. Casati et al. METEOROLOGICAL APPLICATIONS
- Fuzzy verification of high-resolution gridded forecasts: a review and proposed framework
- (2008) Elizabeth E. Ebert METEOROLOGICAL APPLICATIONS
- Scale-Selective Verification of Rainfall Accumulations from High-Resolution Forecasts of Convective Events
- (2008) Nigel M. Roberts et al. MONTHLY WEATHER REVIEW
- The origins of computer weather prediction and climate modeling
- (2007) Peter Lynch JOURNAL OF COMPUTATIONAL PHYSICS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now