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A 'nowcast' is a type of weather forecast which makes predictions in the very short term, typically less than two hours - a period in which traditional numerical weather prediction can be limited.
VideoFlow: A Flow-Based Generative Model for Video
M. Kumar, M. Babaeizadeh, D. Erhan, C. Finn, S. Levine, L. Dinh, and D. Kingma · 1903
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Short-term risk forecasts of heavy rainfall
W. Schmid, S. Mecklenburg, and J. Joss · 1909
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Generalization and Equilibrium in Generative Adversarial Nets (GANs)
S. Arora, R. Ge, Y. Liang, T. Ma, and Y. Zhang · 1938
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Stochastic Video Generation with a Learned Prior
E. Denton and R. Fergus · 1938
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Video Pixel Networks
N. Kalchbrenner, A. v. d. Oord, K. Simonyan, I. Danihelka, O. Vinyals, A. Graves, and K. Kavukcuoglu · 1938
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On the Application of Trajectory Methods in Numerical Forecasting
A. Wiin-Nielsen · 1959
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A semi-Lagrangian Method of Solving the Vorticity Advection Equation
J. S. Sawyer · 1963
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The use of digital weather radar records for short term precipitation forecasting
G. L. Austin and A. Bellon · 1974
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The Evaluation of Two Years of Real-Time Operation of a Short-Term Precipitation Forecasting Procedure (SHARP) History of Meteorology View project
G. Austin · 1978
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Three-dimensional storm motion detection by conventional weather radar
R. E. Rinehart and E. T. Garvey · 1978
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Review Lecture: Local Weather Forecasting
K. A. Browning · 1980
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Determining Optical Flow
B. K. P. Horn and B. G. Schunck · 1981
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Physical Modeling and Analysis of Rain and Clouds by Anisotropic Scaling Multiplicative Processes
D. Schertzer and S. Lovejoy · 1987
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Determination of the Boundary Layer Airflow from a Single Doppler Radar
J. D. Tuttle and G. B. Foote · 1990
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A model for probability nowcasts of accumulated precipitation using radar
T. Andersson and K.-I. Ivarsson · 1991
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TITAN: thunderstorm identification, tracking, analysis, and nowcasting — a radar-based methodology
M. Dixon and G. Weiner · 1993
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A Variational Analysis Method for Retrieval of Three-Dimensional Wind Field from Single-Doppler Radar Data
S. Laroche and I. Zawadzki · 1994
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Retrievals of Horizontal Winds from Single-Doppler Clear-Air Data by Methods of Cross Correlation and Variational Analysis
S. Laroche and I. Zawadzki · 1995
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Nowcasting of Motion and Growth of Precipitation with Radar over a Complex Orography
L. Li, W. Schmid, and J. Joss · 1995
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An Object-oriented Technique for Nowcasting Heavy Showers and Thunderstorms
W. H. Hand · 1996
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Long Short-term Memory
S. Hochreiter and J. Schmidhuber · 1997
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Dynamical and microphysical retrieval from doppler radar observations using a cloud model and its adjoint. part i: Model development and simulated data experiments
J. Sun and N. A. Crook · 1997
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The Storm Cell Identification and Tracking Algorithm: An Enhanced WSR-88D Algorithm
J. T. Johnson, P. L. MacKeen, A. Witt, E. D. W. Mitchell, G. J. Stumpf, M. D. Eilts, and K. W. Thomas · 1998
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Cell Tracking and Warning Indicators derived from Operational Radar Products
P. Lang · 2001
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Scale-Dependence of the Predictability of Precipitation from Continental Radar Images. Part I: Description of the Methodology
U. Germann and I. Zawadzki · 2002
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Cell tracking with TRACE3D - A new algorithm
J. Handwerker · 2002
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Development of a precipitation nowcasting algorithm based upon optical flow techniques
N. E. Bowler, C. E. Pierce, and A. Seed · 2003
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NCAR Auto-Nowcast System
C. Mueller, T. Saxen, R. Roberts, J. Wilson, T. Betancourt, S. Dettling, N. Oien, and J. Yee · 2003
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Nowcasting Storm Initiation and Growth Using GOES-8 and WSR-88D Data
R. D. Roberts and S. Rutledge · 2003
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A Dynamic and Spatial Scaling Approach to Advection Forecasting
A. W. Seed · 2003
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An Introduction to Semi-Lagrangian Methods for Geophysical Scale Flows
L. Bonaventura · 2004
Cited alongside, same era.
Scale Dependence of the Predictability of Precipitation from Continental Radar Images. Part II: Probability Forecasts
U. Germann and I. Zawadzki · 2004
Cited alongside, same era.
Predictability of Precipitation from Continental Radar Images. Part III: Operational Nowcasting Implementation (MAPLE)
B. J. Turner and I. Zawadzki · 2004
Cited alongside, same era.
Sydney 2000 Forecast Demonstration Project: Convective Storm Nowcasting
J. W. Wilson, E. E. Ebert, T. R. Saxen, R. D. Roberts, C. K. Mueller, M. Sleigh, C. E. Pierce, and A. Seed · 2004
Cited alongside, same era.
A Bayesian Quantitative Precipitation Nowcast Scheme
N. I. Fox and C. K. Wikle · 2005
Cited alongside, same era.
Nowcasting Thunderstorms in Complex Cases using Radar Data
Action-Conditional Video Prediction using Deep Networks in Atari Games
J. Oh, X. Guo, H. Lee, R. Lewis, and S. Singh · 2015
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Variational Inference with Normalizing Flows
D. J. Rezende and S. Mohamed · 2015
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Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
X. Shi, Z. Chen, H. Wang, D.-Y. Yeung, W.-K. Wong, and W.-c. Woo · 2015
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Probabilistic Forecasts of Mesoscale Convective System Initiation Using the Random Forest Data Mining Technique
D. Ahijevych, J. O. Pinto, J. K. Williams, and M. Steiner · 2016
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A Recurrent Latent Variable Model for Sequential Data
J. Chung, K. Kastner, L. Dinh, K. Goel, A. Courville, and Y. Bengio · 2016
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A. M. Hering, S. Sénési, P. Ambrosetti, and I. Bernard-Bouissières · 2005
Cited alongside, same era.
The Czech Hydrometeorological Institute’s severe storm nowcasting system
P. Novak · 2005
Cited alongside, same era.
A Kernel-based Spatio-temporal Dynamical Model for Nowcasting weather radar reflectivities
K. Xu, C. K. Wikle, and N. I. Fox · 2005
Cited alongside, same era.
A Review of the Initiation of Precipitating Convection in the United Kingdom, 2006
L. J. Bennett, K. A. Browning, A. M. Blyth, D. J. Parker, and P. A. Clark · 2006
Cited alongside, same era.
STEPS: A probabilistic precipitation forecasting scheme which merges an extrapolation nowcast with downscaled NWP
N. E. Bowler, C. E. Pierce, and A. W. Seed · 2006
Cited alongside, same era.
Improved nowcasting of precipitation based on convective analysis fields
M. Steinheimer and T. Haiden · 2007
Cited alongside, same era.
Error propagation of radar rainfall nowcasting fields through a fully distributed flood forecasting model
E. R. Vivoni, D. Entekhabi, and R. N. Hoffman · 2007
Cited alongside, same era.
B. De Brabandere, X. Jia, T. Tuytelaars, and L. Van Gool · 2016
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Density estimation using Real NVP
L. Dinh, J. Sohl-Dickstein, and S. Bengio · 2016
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Unsupervised Learning for Physical Interaction through Video Prediction
C. Finn, I. Goodfellow, and S. Levine · 2016
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Statement of guidance for nowcasting and very short range forecasting
WMO · 2016
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Stochastic Variational Video Prediction
M. Babaeizadeh, C. Finn, D. Erhan, R. H. Campbell, and S. Levine · 2017
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Enhanced object-based tracking algorithm for convective rain storms and cells
C. Muñoz, L. P. Wang, and P. Willems · 2017
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A non-stationary stochastic ensemble generator for radar rainfall fields based on the short-space Fourier transform
D. Nerini, N. Besic, I. Sideris, U. Germann, and L. Foresti · 2017
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A Classification-Based Study of Covariate Shift in GAN Distributions
S. Santurkar, L. Schmidt, and A. Ma̧dry · 2017
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Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
X. Shi, Z. Gao, L. Lausen, H. Wang, D.-Y. Yeung, W.-k. Wong, and W.-c. Woo · 2017
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An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
S. Bai, J. Z. Kolter, and V. Koltun · 2018
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Video Prediction with Appearance and Motion Conditions
Y. Jang, G. Kim, and Y. Song · 2018
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A Probabilistic U-Net for Segmentation of Ambiguous Images
S. A. A. Kohl, B. Romera-Paredes, C. Meyer, J. De Fauw, J. R. Ledsam, K. H. Maier-Hein, S. M. A. Eslami, D. J. Rezende, and O. Ronneberger · 2018
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Machine Learning for Spatiotemporal Sequence Forecasting: A Survey
X. Shi and D.-Y. Yeung · 2018
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PredCNN: Predictive learning with cascade convolutions
Z. Xu, Y. Wang, M. Long, and J. Wang · 2018
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Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks
T. Xue, J. Wu, K. L. Bouman, and W. T. Freeman · 2018
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Scientific challenges of convective-scale numerical weather prediction
J.-I. Yano, M. Z. Ziemiański, M. Cullen, P. Termonia, J. Onvlee, L. Bengtsson, A. Carrassi, R. Davy, A. Deluca, S. L. Gray, V. Homar, M. Köhler, S. Krichak, S. Michaelides, V. T. J. Phillips, P. M. M. Soares, and A. A. Wyszogrodzki · 2018
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Machine learning for precipitation nowcasting from radar images, 2019
S. Agrawal, L. Barrington, C. Bromberg, J. Burge, C. Gazen, and J. Hickey · 2019
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Learning dynamical systems from partial observations, 2019
I. Ayed, E. de Bezenac, A. Pajot, J. Brajard, and P. Gallinari · 2019
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Deep learning for physical processes: Incorporating prior scientific knowledge
E. de Bezenac, A. Pajot, and P. Gallinari · 2019
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Using a 10-year radar archive for nowcasting precipitation growth and decay: A probabilistic machine learning approach
L. Foresti, I. V. Sideris, D. Nerini, L. Beusch, and U. Germann · 2019
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Towards GAN Benchmarks Which Require Generalization
I. Gulrajani, C. Raffel, and L. Metz · 2019
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Making the black box more transparent: Understanding the physical implications of machine learning
A. McGovern, R. Lagerquist, D. John Gagne, G. E. Jergensen, K. L. Elmore, C. R. Homeyer, and T. Smith · 2019
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Improved rainfall nowcasting using burgers equation
S. Ryu, G. Lyu, Y. Do, and G. Lee · 2019
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Metnet: A neural weather model for precipitation forecasting, 2020
C. K. Sonderby, L. Espeholt, J. Heek, M. Dehghani, A. Oliver, T. Salimans, S. Agrawal, J. Hickey, and N. Kalchbrenner · 2020
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Precipitation nowcasting with orographic enhanced stacked generalization: Improving deep learning predictions on extreme events
G. Franch, D. Nerini, M. Pendesini, L. Coviello, G. Jurman, and C. Furlanello · 2073
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