MPD OSSE data

This numerical simulation data set is prepared for manuscript submission to the the Monthly Weather Review journal of the American Meteorological Society (AMS).The National Center for Atmospheric Research (NCAR) and Montana State University jointly developed water vapor MicroPulse Differential absorption lidars (MPDs) that are a significant advance in eye-safe, unattended, lidar-based water vapor remote sensing. We perform Observation System Simulation Experiments (OSSEs) to investigate MPD observation impact and its scientific significance of MPDs for convective weather analysis and predictions. In this study, the Data Assimilation Research Testbed (DART) and the Advanced Research version of the Weather Research and Forecasting model (WRF-ARW) are used to conduct OSSEs for a case study of a mesoscale convective system (MCS). We will submit OSSE results to the Monthly Weather Review journal of the American Meteorological Society (AMS). As this Journal is committed to the FAIR principles, all data used in the manuscript must be archived and cited/referenced properly. The dataset also have persistent identifiers such as DOIs.

本数值模拟数据集专为提交至美国气象学会（American Meteorological Society, AMS）旗下《气象月刊（Monthly Weather Review）》的稿件而制备。美国国家大气研究中心（National Center for Atmospheric Research, NCAR）与蒙大拿州立大学联合研发了水汽微脉冲差分吸收激光雷达（water vapor MicroPulse Differential absorption lidars, MPDs），该设备在人眼安全、无人值守的基于激光雷达的水汽遥感技术领域实现了重大突破。本研究开展观测系统模拟试验（Observation System Simulation Experiments, OSSEs），以探究MPDs在对流天气分析与预报中的观测影响及其科学意义。本次研究采用数据同化研究测试平台（Data Assimilation Research Testbed, DART）与天气研究与预报模型高级研究版本（Weather Research and Forecasting model Advanced Research version, WRF-ARW），针对一次中尺度对流系统（mesoscale convective system, MCS）的个例实施OSSEs。我们将把本次OSSEs的研究结果提交至美国气象学会旗下的《气象月刊（Monthly Weather Review）》。鉴于该期刊遵循FAIR数据原则，稿件中使用的所有数据均需进行规范归档与合理引用。本数据集还配备了DOI等持久标识符。