Weather Research and Forecasting (WRF) Model IMPACTS

The Weather Research and Forecasting (WRF) Model IMPACTS dataset includes model data simulated by the Weather Research and Forecasting (WRF) model for the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The WRF model provided simulations of the precipitation events that were observed during the campaign using initial and boundary conditions from the Global Forecast System (GFS) model and the North American Mesoscale Forecast System (NAM). The WRF IMPACTS dataset files are available from January 12, 2020, through March 4, 2023, in netCDF-3 format.

《天气研究与预报（WRF）模型IMPACTS数据集》收录了为调查大西洋沿岸威胁性暴风雪的微物理与降水机制（IMPACTS）实地考察而由天气研究与预报（WRF）模型模拟的模型数据。IMPACTS是一项为期三年的冬季部署序列，旨在研究美国大西洋沿岸的暴风雪（2020-2023）。该考察旨在（1）提供对雪带形成、组织与演化的机制理解至关重要的观测数据；（2）考察雪粒子在雪带中的微物理特征及其可能的增长机制如何变化；（3）提升降雪远程传感解释与建模，以显著推进预测能力。WRF模型利用全球预报系统（GFS）模型和北美中尺度预报系统（NAM）的初始和边界条件，对考察期间观测到的降水事件进行了模拟。WRF IMPACTS数据集的文件自2020年1月12日起至2023年3月4日止，均以netCDF-3格式提供。