SBU Meteorological Station IMPACTS V1

The SBU Meteorological Station IMPACTS dataset consists of weather station data collected at two Stony Brook University (SBU) weather stations (1 mobile radar truck and 1 stationary site in Manhattan, New York City, New York) during 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 advance prediction capabilities significantly. The surface meteorological data variables include temperature, dew point, relative humidity, absolute humidity, mixing ratio, air pressure, windspeed, and wind direction. The dataset files are available from January 1, 2020, through January 25, 2023, in netCDF-4 and ASCII-CSV formats.

SBU气象站IMPACTS数据集由位于纽约州纽约市曼哈顿的两处斯托尼布鲁克大学（SBU）气象站（1辆移动雷达卡车和1个固定站点）收集的气象数据组成，这些数据是在对大西洋沿岸威胁性暴风雪的微物理和降水进行调查研究（IMPACTS）现场活动期间收集的。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年）。该活动旨在（1）提供对理解雪带形成、组织和演变的机制至关重要的观测；（2）考察雪粒的微物理特征及其可能的增长机制在雪带间的差异；（3）提高降雪远程传感的解释和建模，以显著提升预测能力。地表气象数据变量包括温度、露点、相对湿度、绝对湿度、混合比、气压、风速和风向。数据集文件从2020年1月1日至2023年1月25日，以netCDF-4和ASCII-CSV格式提供。