2018-2022年NCEP-GFS分析预报数据集

该套数据集由美国气象环境预报中心（NCEP）和美国国家大气研究中心（NCAR）联合制作的，采用了当今最先进的全球资料同化系统和完善的数据库，对多种来源的观测资料进行质量控制和同化处理，包含的要素多，范围广，且延伸的时段长。来源：网络下载。用途：天气背景分析，作为WRF预报提供初始场。

This dataset was jointly developed by the National Centers for Environmental Prediction (NCEP) and the National Center for Atmospheric Research (NCAR). It adopts the state-of-the-art global data assimilation system and a comprehensive database, performing quality control and assimilation processing on observational data from multiple sources. It contains a rich variety of elements, has wide coverage, and a long temporal span. Source: Downloaded from the internet. Usage: For weather background analysis, and as initial conditions for WRF forecasting.

搜集汇总

背景与挑战

背景概述

该数据集是2018年至2022年间的全球气象分析预报数据，覆盖全球范围，空间分辨率为0.5°经纬度网格，垂直方向包含41层标准气压层。它由美国NCAR和NCEP联合生产，采用先进的数据同化系统整合多源观测，主要用于天气背景分析和作为WRF数值预报的初始场。