Result of Assimilating Ground-Based MLT Winds into WACCM
d010103
<p>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.</p> <p>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.</p>
dataset
https://gdex.ucar.edu/datasets/d010103/
protocol: https
name: Dataset Description
description: Related Link
function: information
https://gdex.ucar.edu/datasets/d010103/dataaccess/
protocol: https
name: Data Access
description: Related Link
function: download
climatologyMeteorologyAtmosphere
dataset
revision
2021-03-30
DART > Data Assimilation Research Testbed
revision
2025-10-03
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE > SURFACE PRESSURE
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > UPPER LEVEL WINDS > U/V WIND COMPONENTS
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR INDICATORS > HUMIDITY > SPECIFIC HUMIDITY
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > UPPER AIR TEMPERATURE
revision
2025-10-03
-180.0
180.0
90.0
-90.0
2018-12-10T0100+00
2019-01-31T0000+00
publication
2025-09-29
notPlanned
Creative Commons Attribution 4.0 International License
None
pointOfContact
NSF NCAR Geoscience Data Exchange
name: NSF NCAR Geoscience Data Exchange
description: The Geoscience Data Exchange (GDEX), managed by the Computational and Information Systems Laboratory (CISL) at NSF NCAR, contains a large collection of meteorological, atmospheric composition, and oceanographic observations, and operational and reanalysis model outputs, integrated with NSF NCAR High Performance Compute services to support atmospheric and geosciences research.
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pointOfContact
2025-10-09T01:46:00Z