Fetching the paper…
Reading the bibliography…
High-resolution nowcasting is an essential tool needed for effective adaptation to climate change, particularly for extreme weather.
The wsr-88d and the wsr-88d operational support facility
Timothy D. Crum and Ron L. Alberty · 1993
Earlier work this paper cites.
Optical flow estimation
David J. Fleet and Y. Weiss · 2006
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Earlier work this paper cites.
Convolutional LSTM network: A machine learning approach for precipitation nowcasting
Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, and Wang-chun Woo · 2015
Earlier work this paper cites.
A north american hourly assimilation and model forecast cycle: The rapid refresh
Stanley G. Benjamin, Stephen S. Weygandt, John M. Brown, Ming Hu, Curtis R. Alexander, Tatiana G. Smirnova, Joseph B. Olson, Eric P. James, David C. Dowell, Georg A. Grell, Haidao Lin, Steven E. Peckham, Tracy Lorraine Smith, William R. Moninger, Jaymes S. Kenyon, and Geoffrey S. Manikin · 2016
Earlier work this paper cites.
The importance of skip connections in biomedical image segmentation
Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand, Samuel Kadoury, and Chris Pal · 2016
Cited alongside, same era.
Rainfall prediction: A deep learning approach
Emilcy Hernandez, Víctor Sanchez-Anguix, Vicente Julián, J Palanca, and Néstor Duque · 2016
Cited alongside, same era.
Multi-radar multi-sensor (mrms) quantitative precipitation estimation: Initial operating capabilities
Jian Zhang, Kenneth Howard, Carrie Langston, Brian Kaney, Youcun Qi, Lin Tang, Heather Grams, Yadong Wang, Stephen Cocks, Steven Martinaitis, Ami Arthur, Karen Cooper, Jeff Brogden, and David Kitzmiller · 2016
Cited alongside, same era.
Wasserstein gan, 2017
Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
Cited alongside, same era.
A short-term rainfall prediction model using multi-task convolutional neural networks
M. Qiu, P. Zhao, K. Zhang, J. Huang, X. Shi, X. Wang, and W. Chu · 2017
Cited alongside, same era.
Deep learning for precipitation nowcasting: A benchmark and a new model
Xingjian Shi, Zhihan Gao, Leonard Lausen, Hao Wang, Dit-Yan Yeung, Wai-kin Wong, and Wang-chun WOO · 2017
Later among the works it cites.
All convolutional neural networks for radar-based precipitation nowcasting
G. Ayzel, M. Heistermann, A. Sorokin, O. Nikitin, and O. Lukyanova · 2018
Later among the works it cites.
Short-term precipitation prediction with skip-connected prednet
Ryoma Sato, Hisashi Kashima, and Takehiro Yamamoto · 2018
Later among the works it cites.
Precipitation nowcasting with satellite imagery
Vadim Lebedev, Vladimir Ivashkin, Irina Rudenko, Alexander Ganshin, Alexander Molchanov, Sergey Ovcharenko, Ruslan Grokhovetskiy, Ivan Bushmarinov, and Dmitry Solomentsev · 2019
Closest in time.
Pysteps: an open-source python library for probabilistic precipitation nowcasting (v1.0)
S. Pulkkinen, D. Nerini, A. A. Pérez Hortal, C. Velasco-Forero, A. Seed, U. Germann, and L. Foresti · 2019
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…