Explore >> Select a destination
|
You are here 
|
publications.copernicus.org | ||
| | | | |
gmd.copernicus.org
|
|
| | | | | Abstract. Forecasting heavy precipitation accurately is a challenging task for most deep learning (DL)-based models. To address this, we present a novel DL architecture called multi-scale feature fusion (MFF) that can forecast precipitation with a lead time of up to 3?h. The MFF model uses convolution kernels with varying sizes to create multi-scale receptive fields. This helps to capture the movement features of precipitation systems, such as their shape, movement direction, and speed. Additionally, the... | |
| | | | |
www.copernicus.org
|
|
| | | | | ||
| | | | |
www.nature.com
|
|
| | | | | Journal Information | |
| | | | |
tallbloke.wordpress.com
|
|
| | | A while ago I posted a tongue in cheek thread about the old Keihl and Trenberth Earth energy budget diagram and the new shiny all colour one NASA now has on their website. Here they are again for comparison: The major difference between these diagrams is the 'surface radiation' from the surface to the atmosphere... | ||
