MPD OSSE data

d583101
 
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Abstract:

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.

Temporal Range:
2015-07-15
Variables:
Vertically Resolved Backscatter Light
Data Types:
Grid
Data Contributors:
UCAR/NCAR/EOL
Earth Observing Laboratory, National Center for Atmospheric Research, University Corporation for Atmospheric Research
Total Volume:
302.56 MB
Data Formats:
HDF5/NetCDF4
Metadata Record:
Data License:
Data LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.
Citation counts are compiled through information provided by publicly-accessible APIs according to the guidelines developed through the https://makedatacount.org/ project. If journals do not provide citation information to these publicly-accessible services, then this citation information will not be included in RDA citation counts. Additionally citations that include dataset DOIs are the only types included in these counts, so legacy citations without DOIs, references found in publication acknowledgements, or references to a related publication that describes a dataset will not be included in these counts.