次季节气候预测场景定制化服务数据

基于CMME、CFS、CPSv3等模式数据，采用本地化订正模型，逐日制作的四川省任意地区次季节（15-60天）气候预测格点数据集,空间分辨率5km，用于赋能各行各业防灾减灾，趋利避害，降本增利，提质增效。

This is a daily-produced grid dataset of subseasonal (15-60 day) climate predictions for any region in Sichuan Province. It is developed using a localized correction model based on model data such as CMME, CFS and CPSv3, with a spatial resolution of 5 km. This dataset is intended to empower all sectors of society to conduct disaster prevention and mitigation, achieve risk avoidance and benefit utilization, reduce costs and increase profits, as well as improve quality and operational efficiency.

搜集汇总

背景与挑战

背景概述

该数据集专注于次季节气候预测，提供针对特定应用场景的定制化服务数据，可能包括未来几周到几个月的气候变量预测信息，用于支持相关领域的决策和分析。由于详情页面无具体描述，建议参考其他来源获取更详细的数据说明。