Result of Assimilating Ground-Based MLT Winds into WACCM

d010103
| DOI: 10.5065/ZHN4-BC51
 
Abstract:

This dataset contains the outputs from assimilating MLT wind observations from ground-based Super Dual Auroral Radar Network (SuperDARN) and meteor radar networks into the Whole Atmosphere Community Climate Model (WACCM) using the Ensemble Adjustment Kalman Filter (EAKF) within the Data Assimilation Research Testbed (DART). Two Observing System Simulation Experiments (OSSEs) were conducted for the 2018/2019 Northern Hemisphere winter. In the first OSSE, Experiment 09, synthetic observations of lower atmospheric state variables and SABER and MLS neutral temperatures are assimilated. In the second OSSE, Experiment 08, additional synthetic ground-based MLT wind measurements were assimilated to assess their added value.

The data includes the hourly output of the ensemble mean of prior neutral temperature, neutral zonal wind, and neutral meridional wind as well as the synthetic observation files.

Temporal Range:
2018-12-10 01:00 +0000 to 2019-01-31 00:00 +0000
Variables:
Specific Humidity Surface Pressure U/V Wind Components Upper Air Temperature
Vertical Levels:
See the detailed metadata for level information.
Data Types:
Grid
Spatial Coverage:
Longitude Range: Westernmost=180W Easternmost=180E
Latitude Range: Southernmost=90S Northernmost=90N Detailed coverage information
Data Contributors:
UCAR/NCAR/HAO
High Altitude Observatory, National Center for Atmospheric Research, University Corporation for Atmospheric Research
Total Volume:
361.31 GB (Entire dataset) Volume details by dataset product
Data Formats:
More Details:
View a more detailed summary of the data, including specific date ranges and locations by parameter
Metadata Record:
Data 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 GDEX 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.