Precipitation Estimation With NWP Model and Generative Diffusion Model
Abstract Recent advancements in state‐of‐the‐art generative deep‐learning models, particularly diffusion models, have significantly enhanced the capability to produce realistic and diverse synthetic images and videos. These advancements have had a profound impact on fields such as computer vision an...
Saved in:
| Main Authors: | Haolin Liu, Jimmy C. H. Fung, Alexis K. H. Lau, Zhenning Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-04-01
|
| Series: | Geophysical Research Letters |
| Online Access: | https://doi.org/10.1029/2024GL110625 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Evaluation and Correction of Quantitative Precipitation Forecast by Storm-Scale NWP Model in Jiangsu, China
by: Gaili Wang, et al.
Published: (2016-01-01) -
Deep Learning to Estimate Model Biases in an Operational NWP Assimilation System
by: Patrick Laloyaux, et al.
Published: (2022-06-01) -
Higher accuracy estimation of the weighted mean temperature (tm) with the aid of machine learning and NWP model
by: Mingyun Hu, et al.
Published: (2025-12-01) -
Examining the Complementarity of GEO and LEO Hyperspectral Infrared Sounders for NWP
by: Erica L. McGrath‐Spangler, et al.
Published: (2025-03-01) -
Comparison of AI and NWP Models in Operational Severe Weather Forecasting: A Study on Tropical Cyclone Predictions
by: Yang Shi, et al.
Published: (2025-06-01)