Identification

Title

Data‐driven ensemble modeling of equatorial ionospheric electrodynamics: A case study during a minor storm period under solar minimum conditions

Abstract

The dayside equatorial ionospheric electrodynamics exhibit strong variability driven simultaneously by highly changeable external forcings that originate from the solar extreme ultraviolet (EUV), magnetosphere, and lower atmosphere. We investigate this variability by carrying out comprehensive data-driven ensemble modeling using a coupled model of the thermosphere and ionosphere, with the focus on the vertical E x B drift variability during a solar minimum and minor storm period. The variability of vertical E x B drift in response to the changes and uncertainty of primary forcings (i.e., solar EUV, high-latitude plasma convection and auroral particle precipitation, and loweratmospheric tide and wave forcing) is investigated by ensemble forcing sensitivity experiments that incorporate data-driven stochastic perturbations of these forcings into the model. Second, the impact of assimilating FORMOsa SATellite-3/Constellation Observing System for Meteorology, Ionosphere, and Climate (FORMOSAT-3/COSMIC) electron density profiles (EDPs) on the reduction of uncertainty of the modeled vertical E x B drift variability resulting from inadequately specified external forcing is revealed. The Communication and Navigation Outage Forecasting System (C/NOFS) ion drift velocity observations are used for validation. The validation results support the importance of the use of a datadriven forcing perturbation methods in ensemble modeling and data assimilation. In conclusion, the solar EUV dominates the global-scale day-to-day variability, while the lower atmosphere tide and wave forcing is critical to determining the regional variability. The modeled vertical E x B drift is also sensitive to the magnetospheric forcing. The ensemble data assimilation of FORMOSAT-3/COSMIC EDPs helps to reduce the uncertainty and improves agreement of the modeled vertical E x B drifts with C/NOFS observations.

Resource type

document

Resource locator

Unique resource identifier

code

http://n2t.net/ark:/85065/d7c250tw

codeSpace

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

geoscientificInformation

Keywords

Keyword set

keyword value

Text

originating controlled vocabulary

title

Resource Type

reference date

date type

publication

effective date

2016-01-01T00:00:00Z

Geographic location

West bounding longitude

East bounding longitude

North bounding latitude

South bounding latitude

Temporal reference

Temporal extent

Begin position

End position

Dataset reference date

date type

publication

effective date

2021-02-01T00:00:00Z

Frequency of update

Quality and validity

Lineage

Conformity

Data format

name of format

version of format

Constraints related to access and use

Constraint set

Use constraints

Limitations on public access

None

Responsible organisations

Responsible party

contact position

OpenSky Support

organisation name

UCAR/NCAR - Library

full postal address

PO Box 3000

Boulder

80307-3000

email address

opensky@ucar.edu

web address

http://opensky.ucar.edu/

name: homepage

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact