Precipitation Forecasting

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

19 shown of 19 papers with code (36 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics
  19 Nov 2018 4 repositories listed
  Natural spatiotemporal processes can be highly non-stationary in many ways, e.
• W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecasting
  18 Apr 2023 2 repositories listed
  On the temporal scale, we fine-tune the pre-trained W-MAE to predict the future states of meteorological variables, thereby modeling the temporal dependencies present in weather data.
• Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks
  14 Nov 2021 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  An emerging class of weather models based on neural networks represents a paradigm shift in weather forecasting: the models learn the required transformations from data instead of relying on hand-coded physics and are…
• MetNet: A Neural Weather Model for Precipitation Forecasting
  24 Mar 2020 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Weather forecasting is a long standing scientific challenge with direct social and economic impact.
• Localized Weather Prediction Using Kolmogorov-Arnold Network-Based Models and Deep RNNs
  27 May 2025 1 repository listed
  This study benchmarks deep recurrent neural networks such as LSTM, GRU, BiLSTM, BiGRU, and Kolmogorov-Arnold-based models (KAN and TKAN) for daily forecasting of temperature, precipitation, and pressure in two tropical…
• Data-driven Precipitation Nowcasting Using Satellite Imagery
  16 Dec 2024 1 repository listed Syntology ran 1 of 13 samples · 12 unverified · 13 pointer-only (licence)
  Accurate precipitation forecasting is crucial for early warnings of disasters, such as floods and landslides.
• Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability Estimation
  8 Dec 2024 1 repository listed
  Numerical weather prediction (NWP) models are fundamental in meteorology for simulating and forecasting the behavior of various atmospheric variables.
• TCP-Diffusion: A Multi-modal Diffusion Model for Global Tropical Cyclone Precipitation Forecasting with Change Awareness
  17 Oct 2024 1 repository listed Syntology ran 6 of 11 samples · 5 unverified · 11 pointer-only (licence)
  Second, these methods overlook the importance of meteorological factors in TC rainfall and their integration with the numerical weather prediction (NWP) model.
• SRNDiff: Short-term Rainfall Nowcasting with Condition Diffusion Model
  21 Feb 2024 1 repository listed
  Diffusion models are widely used in image generation because they can generate high-quality and realistic samples.
• Graph Dual-stream Convolutional Attention Fusion for Precipitation Nowcasting
  15 Jan 2024 1 repository listed
  This capability enables handling complex, high-dimensional data and exploiting higher-order correlations between data dimensions.
• Short-term Precipitation Forecasting in The Netherlands: An Application of Convolutional LSTM neural networks to weather radar data
  2 Dec 2023 1 repository listed
  This work addresses the challenge of short-term precipitation forecasting by applying Convolutional Long Short-Term Memory (ConvLSTM) neural networks to weather radar data from the Royal Netherlands Meteorological…
• Learning Robust Precipitation Forecaster by Temporal Frame Interpolation
  30 Nov 2023 1 repository listed Syntology ran 11 of 16 samples · 5 unverified · 16 pointer-only (licence)
  This achievement not only underscores the effectiveness of our methodologies but also establishes a new standard for deep learning applications in weather forecasting.
• PostRainBench: A comprehensive benchmark and a new model for precipitation forecasting
  4 Oct 2023 1 repository listed
  Accurate precipitation forecasting is a vital challenge of societal importance.
• PreDiff: Precipitation Nowcasting with Latent Diffusion Models
  19 Jul 2023 1 repository listed Syntology ran 8 of 12 samples · 4 unverified
  We conduct empirical studies on two datasets: N-body MNIST, a synthetic dataset with chaotic behavior, and SEVIR, a real-world precipitation nowcasting dataset.
• Koopman neural operator as a mesh-free solver of non-linear partial differential equations
  24 Jan 2023 1 repository listed
  By approximating the Koopman operator, an infinite-dimensional operator governing all possible observations of the dynamic system, to act on the flow mapping of the dynamic system, we can equivalently learn the solution…
• Adaptive Bias Correction for Improved Subseasonal Forecasting
  21 Sep 2022 1 repository listed Syntology ran 1 of 2 samples · 1 unverified
  Subseasonal forecasting -- predicting temperature and precipitation 2 to 6 weeks ahead -- is critical for effective water allocation, wildfire management, and drought and flood mitigation.
• Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction
  30 Jun 2022 1 repository listed
  Historically, this challenge has been tackled using numerical weather prediction (NWP) models, grounded on physics-based simulations.
• Short-term daily precipitation forecasting with seasonally-integrated autoencoder
  23 Jan 2021 1 repository listed
  On the other hand, deep learning models are good at learning nonlinear interactions, but they are not designed to deal with the seasonality in time series.
• Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods
  1 Oct 2018 1 repository listed
  For autonomous agents to successfully operate in the real world, the ability to anticipate future scene states is a key competence.

Syntology lines on 7 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.