Fetching the paper…
Reading the bibliography…
We present the encoder-forecaster convolutional long short-term memory (LSTM) deep-learning model that powers Microsoft Weather's operational precipitation nowcasting product.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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, et al · 2016
Earlier work this paper cites.
Thunderstorms do not get butterflies
Dale R Durran and Jonathan A Weyn · 2016
Earlier work this paper cites.
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, et al · 2016
Earlier work this paper cites.
Global projections of river flood risk in a warmer world
Lorenzo Alfieri, Berny Bisselink, Francesco Dottori, Gustavo Naumann, Ad de Roo, Peter Salamon, Klaus Wyser, and Luc Feyen · 2017
Earlier work this paper cites.
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
Cited alongside, same era.
Averaging weights leads to wider optima and better generalization
Pavel Izmailov, Dmitrii Podoprikhin, Timur Garipov, Dmitry P. Vetrov, and Andrew Gordon Wilson · 2018
Cited alongside, same era.
Loss surfaces, mode connectivity, and fast ensembling of dnns
Timur Garipov, Pavel Izmailov, Dmitrii Podoprikhin, Dmitry P. Vetrov, and Andrew Gordon Wilson · 2018
Cited alongside, same era.
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
Cited alongside, same era.
Axial attention in multidimensional transformers
Jonathan Ho, Nal Kalchbrenner, Dirk Weissenborn, and Tim Salimans · 2019
Cited alongside, same era.
Rainnet v1. 0: a convolutional neural network for radar-based precipitation nowcasting
Georgy Ayzel, Tobias Scheffer, and Maik Heistermann · 2020
Later among the works it cites.
A deep learning-based methodology for precipitation nowcasting with radar
Lei Chen, Yuan Cao, Leiming Ma, and Junping Zhang · 2020
Later among the works it cites.
Sevir: A storm event imagery dataset for deep learning applications in radar and satellite meteorology
Mark Veillette, Siddharth Samsi, and Chris Mattioli · 2020
Later among the works it cites.
Metnet: A neural weather model for precipitation forecasting
Casper Kaae Sønderby, Lasse Espeholt, Jonathan Heek, Mostafa Dehghani, Avital Oliver, Tim Salimans, Shreya Agrawal, Jason Hickey, and Nal Kalchbrenner · 2020
Later among the works it cites.
Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters
Jeff Rasley, Samyam Rajbhandari, Olatunji Ruwase, and Yuxiong He · 2020
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Optical flow models as an open benchmark for radar-based precipitation nowcasting (rainymotion v0.1)
Georgy Ayzel, Maik Heistermann, and Tanja Winterrath · 2019
Cited alongside, same era.
Later among the works it cites.
Skilful precipitation nowcasting using deep generative models of radar
Suman Ravuri, Karel Lenc, Matthew Willson, Dmitry Kangin, Remi Lam, Piotr Mirowski, Megan Fitzsimons, Maria Athanassiadou, Sheleem Kashem, Sam Madge, Rachel Prudden, Amol Mandhane, Aidan Clark, Andrew Brock, Karen Simonyan, Raia Hadsell, Niall Robinson, Ellen Clancy, Alberto Arribas, and Shakir Mohamed · 2021
Closest in time.