PAR003 Optical disdrometer data at Erasmus MC in Rotterdam

<strong>Description:</strong> In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by an OTT Parsivel2 disdrometer named "PAR003" on the roof of the Erasmus MC in Rotterdam, at a height of approx. 20 meters. This dataset was collected during the campaign RITA2022, which took place in the city of Rotterdam between August and September 2022. The RITA2022 campaign involved many other sensors from TU Delft and partners of the Ruisdael consortium. Some additional data collected before and after the official campaign dates are included as well.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset.<br><strong>Relevance:</strong> Optical disdrometer data are useful for studying the type, dynamics and microphysics of precipitation from the perspective of a fixed observer on the ground. The data can be used to help calibrate weather radars, improve quantitative precipitation estimates, calculate the absorption/attenuation/propagation of electromagnetic signals through the atmosphere, and quantify important physical quantities such as liquid water content, rain amount, intensity and kinetic energy.

<strong>数据集说明：</strong>本数据集由编号为"PAR003"的OTT Parsivel2雨滴谱仪（OTT Parsivel2 disdrometer）在鹿特丹伊拉斯谟医学中心（Erasmus MC）楼顶约20米高度处原位采集，采集内容包括雨滴尺寸分布、下落速度、雨滴数浓度及地面降雨率。该数据集采集自2022年8月至9月于鹿特丹市开展的RITA2022观测试验，试验期间同步使用了代尔夫特理工大学（TU Delft）与鲁斯代尔（Ruisdael）联盟合作伙伴提供的多款其他传感器。本数据集同时收录了正式试验时段前后采集的部分补充数据。<br><strong>数据格式：</strong>每份NetCDF文件涵盖一整月的观测数据，时间分辨率为1分钟。数据按"原样"提供，未经过任何后处理。NetCDF文件包含所有变量、属性及单位的全部相关信息，其全局属性中存储了传感器类型、记录软件、项目贡献者及数据集历史等重要信息。<br><strong>应用价值：</strong>光学雨滴谱仪数据可用于从地面固定观测视角研究降水的类型、动力学特性与微物理过程。该数据集可辅助气象雷达校准、提升定量降水估算精度、计算电磁信号在大气中的吸收、衰减与传播特性，同时可用于量化液态水含量、降雨量、降雨强度及动能等重要物理量。