On the use of modified Taylor diagrams to compare ionospheric assimilation models

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On the use of modified Taylor diagrams to compare ionospheric assimilation models. / Elvidge, S.; Angling, Matthew; Nava, B.

In: Radio Science, Vol. 49, No. 9, 01.09.2014, p. 737-745.

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@article{d0c6fe71544c4fe9bdb5f99d31285485,
title = "On the use of modified Taylor diagrams to compare ionospheric assimilation models",
abstract = "This paper describes the construction and use of {"}modified Taylor diagrams{"} and the comparison of three real-time assimilative ionospheric models. The paper expands on the work by McNamara et al. (2013) and serves as an addendum to that work. Modified Taylor diagrams provide an easy way of visualizing and comparing statistical information about a number of models, and for multiple parameters, simultaneously. Using modified Taylor diagrams has led to new conclusions about the models tested in McNamara et al. (2013); also, the comparison of the data ingestion version of NeQuick is included. It is shown that the modified NeQuick model performs comparably with the data assimilation models from McNamara et al. (2013) and in multiple cases also shows considerable improvement, such as in hmF2 at the Hermanus Digisonde station. Key Points New data visualization technique is constructed and describedThree data assimilation and one empirical ionospheric model are comparedNew conclusion from McNamara et al. (2013) data is drawn",
keywords = "data assimilation, data visualization, ionosphere",
author = "S. Elvidge and Matthew Angling and B. Nava",
year = "2014",
month = sep,
day = "1",
doi = "10.1002/2014RS005435",
language = "English",
volume = "49",
pages = "737--745",
journal = "Radio Science",
issn = "0048-6604",
publisher = "American Geophysical Union",
number = "9",

}

RIS

TY - JOUR

T1 - On the use of modified Taylor diagrams to compare ionospheric assimilation models

AU - Elvidge, S.

AU - Angling, Matthew

AU - Nava, B.

PY - 2014/9/1

Y1 - 2014/9/1

N2 - This paper describes the construction and use of "modified Taylor diagrams" and the comparison of three real-time assimilative ionospheric models. The paper expands on the work by McNamara et al. (2013) and serves as an addendum to that work. Modified Taylor diagrams provide an easy way of visualizing and comparing statistical information about a number of models, and for multiple parameters, simultaneously. Using modified Taylor diagrams has led to new conclusions about the models tested in McNamara et al. (2013); also, the comparison of the data ingestion version of NeQuick is included. It is shown that the modified NeQuick model performs comparably with the data assimilation models from McNamara et al. (2013) and in multiple cases also shows considerable improvement, such as in hmF2 at the Hermanus Digisonde station. Key Points New data visualization technique is constructed and describedThree data assimilation and one empirical ionospheric model are comparedNew conclusion from McNamara et al. (2013) data is drawn

AB - This paper describes the construction and use of "modified Taylor diagrams" and the comparison of three real-time assimilative ionospheric models. The paper expands on the work by McNamara et al. (2013) and serves as an addendum to that work. Modified Taylor diagrams provide an easy way of visualizing and comparing statistical information about a number of models, and for multiple parameters, simultaneously. Using modified Taylor diagrams has led to new conclusions about the models tested in McNamara et al. (2013); also, the comparison of the data ingestion version of NeQuick is included. It is shown that the modified NeQuick model performs comparably with the data assimilation models from McNamara et al. (2013) and in multiple cases also shows considerable improvement, such as in hmF2 at the Hermanus Digisonde station. Key Points New data visualization technique is constructed and describedThree data assimilation and one empirical ionospheric model are comparedNew conclusion from McNamara et al. (2013) data is drawn

KW - data assimilation

KW - data visualization

KW - ionosphere

UR - http://www.scopus.com/inward/record.url?scp=84907900096&partnerID=8YFLogxK

U2 - 10.1002/2014RS005435

DO - 10.1002/2014RS005435

M3 - Article

AN - SCOPUS:84907900096

VL - 49

SP - 737

EP - 745

JO - Radio Science

JF - Radio Science

SN - 0048-6604

IS - 9

ER -