LS-NTP: Unifying long- and short-range spatial correlations for near-surface temperature prediction

[1]  Guangshe Zhao,et al.  Modeling learnable electrical synapse for high precision spatio-temporal recognition , 2022, Neural Networks.

[2]  Muhammad Zakarya,et al.  Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction , 2021, Neural Networks.

[3]  Si Wu,et al.  A brain-inspired computational model for spatio-temporal information processing , 2021, Neural Networks.

[4]  M. G. Schultz,et al.  Can deep learning beat numerical weather prediction? , 2021, Philosophical Transactions of the Royal Society A.

[5]  Xiaoyong Li,et al.  Deep Learning-Based Weather Prediction: A Survey , 2021, Big Data Res..

[6]  Huadong Guo,et al.  Spatiotemporal Variation of Surface Urban Heat Islands in Relation to Land Cover Composition and Configuration: A Multi-Scale Case Study of Xi'an, China , 2020, Remote. Sens..

[7]  Jianjie Wang,et al.  Research and Operational Development of Numerical Weather Prediction in China , 2020, Journal of Meteorological Research.

[8]  Dan Zeng,et al.  A Deep Neural Network Combined CNN and GCN for Remote Sensing Scene Classification , 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[9]  Lina Yao,et al.  Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting , 2020, NeurIPS.

[10]  Alexander Bihlo,et al.  A generative adversarial network approach to (ensemble) weather prediction , 2020, Neural Networks.

[11]  S. Vannitsem,et al.  Statistical Postprocessing for Weather Forecasts: Review, Challenges, and Avenues in a Big Data World , 2020, Bulletin of the American Meteorological Society.

[12]  Jonathan D. Rosenblatt,et al.  Estimating near‐surface air temperature across Israel using a machine learning based hybrid approach , 2020, International Journal of Climatology.

[13]  Maomao Li,et al.  Self-Attention ConvLSTM for Spatiotemporal Prediction , 2020, AAAI.

[14]  Zahra Karevan,et al.  Transductive LSTM for time-series prediction: An application to weather forecasting , 2020, Neural Networks.

[15]  J. Kurths,et al.  Complex networks reveal global pattern of extreme-rainfall teleconnections , 2019, Nature.

[16]  F. Molteni,et al.  Climate model configurations of the ECMWF Integrated Forecasting System (ECMWF-IFS cycle 43r1) for HighResMIP , 2018, Geoscientific Model Development.

[17]  Philip S. Yu,et al.  PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs , 2017, NIPS.

[18]  Zhaohui Wu,et al.  Deep Learning of Graphs with Ngram Convolutional Neural Networks , 2017, IEEE Transactions on Knowledge and Data Engineering.

[19]  Dit-Yan Yeung,et al.  Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model , 2017, NIPS.

[20]  Martin Jägersand,et al.  Convolutional gated recurrent networks for video segmentation , 2016, 2017 IEEE International Conference on Image Processing (ICIP).

[21]  V. Tallapragada,et al.  An Early Assessment of Medium Range Monsoon Precipitation Forecasts from the Latest High-Resolution NCEP-GFS (T1534) Model over South Asia , 2016, Pure and Applied Geophysics.

[22]  Peter Bauer,et al.  The quiet revolution of numerical weather prediction , 2015, Nature.

[23]  Dit-Yan Yeung,et al.  Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting , 2015, NIPS.

[24]  Vladimir M. Krasnopolsky,et al.  Complex hybrid models combining deterministic and machine learning components for numerical climate modeling and weather prediction , 2006, Neural Networks.

[25]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[26]  R. Reynolds,et al.  The NCEP/NCAR 40-Year Reanalysis Project , 1996, Renewable Energy.

[27]  Tian Hu,et al.  Monitoring agricultural drought in Australia using MTSAT-2 land surface temperature retrievals , 2020 .