Improving global weather and ocean wave forecast with large artificial intelligence models
The rapid advancement of artificial intelligence technologies, particularly in recent years,
has led to the emergence of several large parameter artificial intelligence weather forecast …
has led to the emergence of several large parameter artificial intelligence weather forecast …
Mambads: Near-surface meteorological field downscaling with topography constrained selective state space modeling
In an era of frequent extreme weather and global warming, obtaining precise, fine-grained
near-surface weather forecasts is increasingly essential for human activities. Downscaling …
near-surface weather forecasts is increasingly essential for human activities. Downscaling …
Fitv2: Scalable and improved flexible vision transformer for diffusion model
\textit {Nature is infinitely resolution-free}. In the context of this reality, existing diffusion
models, such as Diffusion Transformers, often face challenges when processing image …
models, such as Diffusion Transformers, often face challenges when processing image …
A reliable generative adversarial network approach for climate downscaling and weather generation
Anticipating climate impacts and risks in present or future climates requires predicting the
statistics of high‐impact weather events at fine‐scales. Direct numerical simulations of fine …
statistics of high‐impact weather events at fine‐scales. Direct numerical simulations of fine …
[HTML][HTML] Current Progress in Subseasonal-to-Decadal Prediction based on Machine Learning
The application of machine learning (ML) techniques to climate science has received
significant attention, particularly in the field of climate predictions, ranging from sub-seasonal …
significant attention, particularly in the field of climate predictions, ranging from sub-seasonal …
Exploring Topography Downscaling Methods for Hyper‐Resolution Land Surface Modeling
Hyper‐resolution land surface modeling provides an unprecedented opportunity to simulate
locally relevant water and energy cycles. However, the available meteorological forcing data …
locally relevant water and energy cycles. However, the available meteorological forcing data …
CloudDiff: Super-resolution ensemble retrieval of cloud properties for all day using the generative diffusion model
H **ao, F Zhang, L Wang, W Li, B Guo, J Li - arxiv preprint arxiv …, 2024 - arxiv.org
Clouds play a crucial role in the Earth's water and energy cycles, underscoring the
importance of high spatiotemporal resolution data on cloud phase and properties for …
importance of high spatiotemporal resolution data on cloud phase and properties for …