MPD OSSE data
d583101
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.
dataset
https://rda.ucar.edu/datasets/d583101/
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https://rda.ucar.edu/datasets/d583101/dataaccess/
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climatologyMeteorologyAtmosphere
dataset
revision
2014-10-16
WRF > Weather Research and Forecasting (WRF) Model
revision
2025-06-10
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR PROFILES > VERTICALLY RESOLVED BACKSCATTER LIGHT
revision
2025-05-23
2015-07-15
2015-07-15
publication
2025-06-17
notPlanned
Creative Commons Attribution 4.0 International License
None
UCAR/NCAR - Research Data Archive
National Center for Atmospheric Research
CISL/DECS
P.O. Box 3000
Boulder
80307
U.S.A.
(303)-497-1833
303-497-1291
pointOfContact
NCAR Research Data Archive
National Center for Atmospheric Research
CISL/DECS
P.O. Box 3000
Boulder
80307
U.S.A.
303-497-1291
name: NCAR Research Data Archive
description: The Research Data Archive (RDA), managed by the Data Engineering and Curation Section (DECS) of the Computational and Information Systems Laboratory (CISL) at NCAR, contains a large and diverse collection of meteorological and oceanographic observations, operational and reanalysis model outputs, and remote sensing datasets to support atmospheric and geosciences research, along with ancillary datasets, such as topography/bathymetry, vegetation, and land use.
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pointOfContact
2025-06-18T21:05:02Z