2020年7月1日-2020年7月10日鄱阳湖流域集合预报模拟气象输入数据

FNL (Final Operational Global Analysis) 数据作为模式的初始场和侧边界场资料，是美国国家环境预报中心（NECP)提供的全球再分析资料，其空间精度为1°×1°, 时间分辨率为6小时（00, 06, 12, and 18 UTC），垂直方向34层。通过FNL数据可以了解真实的全球区域气象状况。该产品来自全球数据同化系统（GDAS），不断收集来自全球的观测数据，在空间和时间分辨率上满足模型模拟需要。

The FNL (Final Operational Global Analysis) dataset serves as initial and lateral boundary condition data for numerical models. It is a global reanalysis dataset provided by the National Centers for Environmental Prediction (NECP), with a spatial resolution of 1°×1°, a temporal resolution of 6 hours (at 00, 06, 12, and 18 UTC), and 34 vertical levels. This dataset enables acquisition of realistic global and regional meteorological conditions. Derived from the Global Data Assimilation System (GDAS), it continuously collects observational data from across the globe, and its spatial and temporal resolutions meet the requirements of numerical model simulations.