mlsanityData to 7 Oct 2026

EfficientTempNet: Temporal Super-Resolution of Radar Rainfall

arXiv 2303.05552 ↗First posted 9 Mar 2023cs.CV cs.LGcited by 3

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Abstract (arXiv)

Rainfall data collected by various remote sensing instruments such as radars or satellites has different space-time resolutions. This study aims to improve the temporal resolution of radar rainfall products to help with more accurate climate change modeling and studies. In this direction, we introduce a solution based on EfficientNetV2, namely EfficientTempNet, to increase the temporal resolution of radar-based rainfall products from 10 minutes to 5 minutes. We tested EfficientRainNet over a dataset for the state of Iowa, US, and compared its performance to three different baselines to show that EfficientTempNet presents a viable option for better climate change monitoring.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 14 of its 26 references that are in the map. First posted on arXiv 9 Mar 2023.

Builds on

14 of 26 references.

References · 14

  1. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
  2. 2018MobileNetV2: Inverted Residuals and Linear Bottleneckscited by 4,773
  3. 2021EfficientNetV2: Smaller Models and Faster Trainingcited by 1,127
  4. 2019On the Variance of the Adaptive Learning Rate and Beyondcited by 763
  5. 2017Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolationcited by 321
  6. 2019Tackling Climate Change with Machine Learningcited by 264
  7. 2017Video Frame Interpolation via Adaptive Separable Convolutioncited by 211
  8. 2017Video Frame Synthesis using Deep Voxel Flowcited by 209
  9. 2017Video Frame Interpolation via Adaptive Convolutioncited by 158
  10. 2020A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resourcescited by 30
  11. 2021Short-term Hourly Streamflow Prediction with Graph Convolutional GRU Networkscited by 12
  12. 2021IowaRain: A Statewide Rain Event Dataset Based on Weather Radars and Quantitative Precipitation Estimationcited by 10
2 more
  1. 2019Decentralized Flood Forecasting Using Deep Neural Networkscited by 4
  2. 2021TempNet -- Temporal Super Resolution of Radar Rainfall Products with Residual CNNscited by 2

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 0; 2026: 2.

3 papers.

  1. 2024Towards Generalized Hydrological Forecasting using Transformer Models for 120-Hour Streamflow Predictioncited by 1
  2. 2026RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEscited by 1
  3. 2026Learning Continuous Regional Temperature Fields with Lead-Time and Resolution Queriescited by 0