Articles | Volume 15, issue 23
https://doi.org/10.5194/gmd-15-8931-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-8931-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model experiment description paper
| 
13 Dec 2022
Model experiment description paper |
| 13 Dec 2022
| 13 Dec 2022
Temperature forecasting by deep learning methods
Jülich Supercomputing Centre, Forschungszentrum Jülich, 52425 Jülich, Germany
Michael Langguth
Jülich Supercomputing Centre, Forschungszentrum Jülich, 52425 Jülich, Germany
Jülich Supercomputing Centre, Forschungszentrum Jülich, 52425 Jülich, Germany
Amirpasha Mozaffari
Jülich Supercomputing Centre, Forschungszentrum Jülich, 52425 Jülich, Germany
Scarlet Stadtler
Jülich Supercomputing Centre, Forschungszentrum Jülich, 52425 Jülich, Germany
Karim Mache
Jülich Supercomputing Centre, Forschungszentrum Jülich, 52425 Jülich, Germany
Martin G. Schultz
Jülich Supercomputing Centre, Forschungszentrum Jülich, 52425 Jülich, Germany
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Cited
29 citations as recorded by crossref.
- Stochastic modelling of temperature for pricing weather derivatives B. Gyamfi et al.
- MSLKSTNet: Multi-Scale Large Kernel Spatiotemporal Prediction Neural Network for Air Temperature Prediction F. Gao et al.
- Deep Neural Network with Attention and Station Embeddings for Robust Spatio-Temporal Multisensor Temperature Forecasting K. Abdalgader et al.
- Forecasting temperature and rainfall using deep learning for the challenging climates of Northern India S. Bukhari & K. Ogudo
- Maximum temperature forecasting using deep learning algorithm by hyperparameter optimization P. Matlani et al.
- Generating high-resolution climate data in the Andes using artificial intelligence: A lightweight alternative to the WRF model C. Carhuancho et al.
- CLGAN: a generative adversarial network (GAN)-based video prediction model for precipitation nowcasting Y. Ji et al.
- Improving Weather Forecasting in Remote Regions Through Machine Learning K. Yadav et al.
- Improving multi-variable weather forecasting with spatiotemporal feature interaction and large-kernel modeling Y. Ye et al.
- Precipitation Nowcasting Based on Deep Learning over Guizhou, China D. Kong et al.
- Forecasting maximal and minimal air temperatures using explainable machine learning: Shapley additive explanation versus local interpretable model-agnostic explanations N. Daif et al.
- Earth system modeling on modular supercomputing architecture: coupled atmosphere–ocean simulations with ICON 2.6.6-rc A. Bishnoi et al.
- Improving Dry-Bulb Air Temperature Prediction Using a Hybrid Model Integrating Genetic Algorithms with a Fourier–Bessel Series Expansion-Based LSTM Model H. Alabdally et al.
- Spatiotemporal change of PM2.5 concentration in Beijing-Tianjin-Hebei and its prediction based on machine learning N. Liu et al.
- Land surface information from satellites boost near-surface temperature forecast skill M. Ruiz-Vásquez et al.
- A new automatic forecasting method based on explainable deep dendritic artificial neural network E. Bas & E. Egrioglu
- Development of a Temperature Prediction Method Combining Deep Neural Networks and a Kalman Filter T. INOUE et al.
- Short-Term Forecasting of Total Cloud Cover over the United States and the Texas Gulf Coast with Graph-Based Deep Learning H. Kia et al.
- AI-Driven Predictive Analytics for Sustainable Aviation: Metaheuristic-Optimized XGBoost for Carbon Emission Prediction A. Elarifi & W. Khalifa
- Incremental–decremental data transformation based ensemble deep learning model (IDT-eDL) for temperature prediction V. Kumar & R. Kumar
- Comparative Analysis of LSTM and SARIMA for Global Temperature Forecasting: Impact of Regional Trends and Emissions A. Navodya Gimhani Ranasinghe et al.
- Analyzing urban footprints over four coastal cities of India and the association with rainfall and temperature using deep learning models A. Mukherjee et al.
- Development of hybrid dynamical and machine learning based weather forecasting using a network of dense weather stations N. Kaushik et al.
- Pentad-mean air temperature prediction using spatial autocorrelation and attention-based deep learning model L. Xu et al.
- Designing empirical fourier decomposition reinforced with multiscale increment entropy and deep learning to forecast dry bulb air temperature M. Diykh et al.
- Statistical Downscaling of SEVIRI Land Surface Temperature to WRF Near-Surface Air Temperature Using a Deep Learning Model A. Afshari et al.
- Analysis and Recommendation of Outdoor Activities for Smart City Users Based on Real-Time Contextual Data S. Sekhar et al.
- Research on the Analysis Method and Application of Spacecraft Test Data Based on TSPU-Net 寒. 邵
- Uncertainty Quantification of Complex Weather Dynamics Using a Novel Functional Autoregressive Model I. Shah et al.
29 citations as recorded by crossref.
- Stochastic modelling of temperature for pricing weather derivatives B. Gyamfi et al.
- MSLKSTNet: Multi-Scale Large Kernel Spatiotemporal Prediction Neural Network for Air Temperature Prediction F. Gao et al.
- Deep Neural Network with Attention and Station Embeddings for Robust Spatio-Temporal Multisensor Temperature Forecasting K. Abdalgader et al.
- Forecasting temperature and rainfall using deep learning for the challenging climates of Northern India S. Bukhari & K. Ogudo
- Maximum temperature forecasting using deep learning algorithm by hyperparameter optimization P. Matlani et al.
- Generating high-resolution climate data in the Andes using artificial intelligence: A lightweight alternative to the WRF model C. Carhuancho et al.
- CLGAN: a generative adversarial network (GAN)-based video prediction model for precipitation nowcasting Y. Ji et al.
- Improving Weather Forecasting in Remote Regions Through Machine Learning K. Yadav et al.
- Improving multi-variable weather forecasting with spatiotemporal feature interaction and large-kernel modeling Y. Ye et al.
- Precipitation Nowcasting Based on Deep Learning over Guizhou, China D. Kong et al.
- Forecasting maximal and minimal air temperatures using explainable machine learning: Shapley additive explanation versus local interpretable model-agnostic explanations N. Daif et al.
- Earth system modeling on modular supercomputing architecture: coupled atmosphere–ocean simulations with ICON 2.6.6-rc A. Bishnoi et al.
- Improving Dry-Bulb Air Temperature Prediction Using a Hybrid Model Integrating Genetic Algorithms with a Fourier–Bessel Series Expansion-Based LSTM Model H. Alabdally et al.
- Spatiotemporal change of PM2.5 concentration in Beijing-Tianjin-Hebei and its prediction based on machine learning N. Liu et al.
- Land surface information from satellites boost near-surface temperature forecast skill M. Ruiz-Vásquez et al.
- A new automatic forecasting method based on explainable deep dendritic artificial neural network E. Bas & E. Egrioglu
- Development of a Temperature Prediction Method Combining Deep Neural Networks and a Kalman Filter T. INOUE et al.
- Short-Term Forecasting of Total Cloud Cover over the United States and the Texas Gulf Coast with Graph-Based Deep Learning H. Kia et al.
- AI-Driven Predictive Analytics for Sustainable Aviation: Metaheuristic-Optimized XGBoost for Carbon Emission Prediction A. Elarifi & W. Khalifa
- Incremental–decremental data transformation based ensemble deep learning model (IDT-eDL) for temperature prediction V. Kumar & R. Kumar
- Comparative Analysis of LSTM and SARIMA for Global Temperature Forecasting: Impact of Regional Trends and Emissions A. Navodya Gimhani Ranasinghe et al.
- Analyzing urban footprints over four coastal cities of India and the association with rainfall and temperature using deep learning models A. Mukherjee et al.
- Development of hybrid dynamical and machine learning based weather forecasting using a network of dense weather stations N. Kaushik et al.
- Pentad-mean air temperature prediction using spatial autocorrelation and attention-based deep learning model L. Xu et al.
- Designing empirical fourier decomposition reinforced with multiscale increment entropy and deep learning to forecast dry bulb air temperature M. Diykh et al.
- Statistical Downscaling of SEVIRI Land Surface Temperature to WRF Near-Surface Air Temperature Using a Deep Learning Model A. Afshari et al.
- Analysis and Recommendation of Outdoor Activities for Smart City Users Based on Real-Time Contextual Data S. Sekhar et al.
- Research on the Analysis Method and Application of Spacecraft Test Data Based on TSPU-Net 寒. 邵
- Uncertainty Quantification of Complex Weather Dynamics Using a Novel Functional Autoregressive Model I. Shah et al.
Saved (final revised paper)
Latest update: 28 Apr 2026
Short summary
Inspired by the success of deep learning in various domains, we test the applicability of video prediction methods by generative adversarial network (GAN)-based deep learning to predict the 2 m temperature over Europe. Our video prediction models have skill in predicting the diurnal cycle of 2 m temperature up to 12 h ahead. Complemented by probing the relevance of several model parameters, this study confirms the potential of deep learning in meteorological forecasting applications.
Inspired by the success of deep learning in various domains, we test the applicability of video...
