Identification

Title

SuperDARN assimilative mapping

Abstract

An assimilative mapping procedure is developed to optimally combine information from Super Dual Auroral Radar Network (SuperDARN) plasma drift observations and a background statistical convection model to derive global distributions of electrostatic potential. This procedure takes into account statistical properties of the background model errors, obtained through the empirical orthogonal function analysis technique described in a companion paper. The assimilative mapping procedure is evaluated quantitatively using cross-validation and is found to reduce median prediction errors by up to 43% as compared to the existing linear regression-based SuperDARN mapping procedure. Furthermore, the mapped results from the assimilative procedure show a greater dynamic range in convection strength than do those of the regression-based procedure (i.e., the cross-polar cap potential is smaller for weak driving conditions and larger for strong driving conditions). The application of the assimilative procedure is demonstrated for a case study containing a geomagnetic storm. It is shown that, qualitatively, the results of the assimilative procedure appear more smooth and consistent across both data-dense and data-sparse regions than do those of the regression-based procedure.

Resource type

document

Resource locator

Unique resource identifier

code

http://n2t.net/ark:/85065/d75t3mdx

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

2013-12-01T00:00:00Z

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