2019年8-9月青海大柴旦试验10-100km全球预报数据集

结合多源观测数据Aura/MLS和GFS分析数据的驱动,利用10-100km临近空间环境全球数值预报技术,形成临近空间10-100km的7天全球数值预报数据产品包括大气温度、密度、纬向风、经向风。为2019年8月11日-9月5日青海大柴旦试验提供预报数据,为高空气球放飞窗口决策提供支撑。(协议共享）

Driven by combined multi-source observational data including Aura/MLS and GFS analysis datasets, this dataset was developed using global numerical forecasting technology for the near-space environment (10–100 km) to produce 7-day global numerical forecasting data products for the 10–100 km near-space region. The products cover atmospheric temperature, density, zonal wind, and meridional wind. This dataset provided forecasting support for the Da Qaidam experiment in Qinghai Province from August 11 to September 5, 2019, to assist decision-making for stratospheric balloon launch windows. (Shared under agreement)