CEDAR‐GEM Challenge for Systematic Assessment of Ionosphere/Thermosphere Models in Predicting TEC During the 2006 December Storm Event

Shim, J. S.; Rastätter, L.; Kuznetsova, M.; Bilitza, D.; Codrescu, M.; Coster, A. J.; Emery, B. A.; Fedrizzi, M.; Förster, M.; Fuller‐Rowell, T. J.; Gardner, L. C.; Goncharenko, L.; Huba, J.; McDonald, S. E.; Mannucci, A. J.; Namgaladze, A. A.; Pi, X.; Prokhorov, B. E.; Ridley, A. J.; Scherliess, L.; Schunk, R. W.; Sojka, J. J.; Zhu, L.

doi:10.1002/2017SW001649

i

CEDAR‐GEM Challenge for Systematic Assessment of Ionosphere/Thermosphere Models in Predicting TEC During the 2006 December Storm Event

Supporting Files

2017
By: Shim, J. S. ; Rastätter, L. ; Kuznetsova, M.
Source: Space Weather, 15(10), 1238-1256

Details

Journal Title:

Space Weather
Personal Author:

Shim, J. S. ; Rastätter, L. ; Kuznetsova, M. ; Bilitza, D. ; Codrescu, M. ; Coster, A. J. ; Emery, B. A. ; Fedrizzi, M. ; Förster, M. ; Fuller‐Rowell, T. J. ; Gardner, L. C. ; Goncharenko, L. ; Huba, J. ; McDonald, S. E. ; Mannucci, A. J. ; Namgaladze, A. A. ; Pi, X. ; Prokhorov, B. E. ; Ridley, A. J. ; Scherliess, L. ; Schunk, R. W. ; Sojka, J. J. ; Zhu, L.
NOAA Program & Office:

NWS (National Weather Service) ; SWPC (Space Weather Prediction Center)
Description:

In order to assess current modeling capability of reproducing storm impacts on total electron content (TEC), we considered quantities such as TEC, TEC changes compared to quiet time values, and themaximum value of the TEC and TEC changes during a storm. We compared the quantities obtained from ionospheric models against ground-based GPS TEC measurements during the 2006 AGU storm event (14 –15 December 2006) in the selected eight longitude sectors. We used 15 simulations obtained from eightionospheric models, including empirical, physics-based, coupled ionosphere-thermosphere, and data assimilation models. To quantitatively evaluate performance of the models in TEC prediction during the storm, we calculated skill scores such as RMS error, Normalized RMS error (NRMSE), ratio of the modeled toobserved maximum increase (Yield), and the difference between the modeled peak time and observed peak time. Furthermore, to investigate latitudinal dependence of the performance of the models, the skill
Keywords:
- Atmospheric Science
Source:

Space Weather, 15(10), 1238-1256
DOI:

https://doi.org/10.1002/2017SW001649
ISSN:

1542-7390 ; 1542-7390
Format:

PDF
Publisher:

American Geophysical Union (AGU)
Document Type:

Journal Article
Rights Information:

Other
Compliance:

Library
Download URL:

https://repository.library.noaa.gov/view/noaa/54671/noaa_54671_DS1.pdf
File Type:

[PDF - 6.06 MB]
Collection(s):

National Weather Service (NWS)
Main Document Checksum:

urn:sha256:47b40c7cdb6e3220dedb27ac7028e86760f0c1c0358b2775315457a269c3a768

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