Work

Res: A lightweight Deep Learning model for Quantitative Precipitation Nowcasting Based on New Transformer Customized for Remote Sensing Data

Year: 2023

Type: article

Abstract: This is the source code of Res, which is a new transformer model we designed for QPN tasks. The manuscript is currently under review, and we do not upload a preprint version, so it is partially accessible. You can apply for it if meet the following conditions. Once our manuscript be accepted, we will make it open source and upload another version. If you are interested in our work, please stay tuned for this repository.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.7708534

Author: Li, Dawei

Language: English

Topic: Precipitation Measurement and Analysis

Subfield: Atmospheric Science

Field: Earth and Planetary Sciences

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4323557166

FWCI:

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