YanTian: An Application Platform for AI Global Weather Forecasting Models

TL;DR

YanTian is a flexible application platform designed to enhance AI global weather forecasting models by providing modular, user-friendly tools that improve forecast accuracy, resolution, and accessibility for meteorologists without requiring AI expertise.

Contribution

The paper introduces YanTian, a novel adaptable platform with a plug-in architecture that significantly improves the operational usability and capabilities of existing open-source AI weather forecasting models.

Findings

Enhanced forecast accuracy and resolution

User-friendly visual interface for meteorologists

Supports deployment on GPU-enabled PCs

Abstract

To promote the practical application of AI Global Weather Forecasting Models (AIGWFM), we have developed an adaptable application platform named 'YanTian'. This platform enhances existing open-source AIGWFM with a suite of capability-enhancing modules and is constructed by a "loosely coupled" plug-in architecture. The goal of 'YanTian' is to address the limitations of current open-source AIGWFM in operational application, including improving local forecast accuracy, providing spatial high-resolution forecasts, increasing density of forecast intervals, and generating diverse products with the provision of AIGC capabilities. 'YianTian' also provides a simple, visualized user interface, allowing meteorologists easily access both basic and extended capabilities of the platform by simply configuring the platform UI. Users do not need to possess the complex artificial intelligence knowledge and the coding techniques. Additionally, 'YianTian' can be deployed on a PC with GPUs. We hope 'YianTian' can facilitate the operational widespread adoption of AIGWFMs.