Physical mechanisms responsible for forming the 4-peak longitudinal structure of the 135.6nm ionospheric emission: First results from the Canadian IAM

Martynenko, O. V.; Fomichev, V. I.; Semeniuk, K.; Beagley, S. R.; Ward, W. E.; McConnell, J. C.; Namgaladze, A. A.

doi:10.1016/j.jastp.2014.08.014

Cited by 12 publications

(12 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[] and Martynenko et al . [], but less so for SE2, the former displaying sudden amplitude peaks not shared by SE2. The amplitude of SPW4 was found to be quite variable.…”

Section: Discussionmentioning

confidence: 99%

“…In particular, Martynenko et al . [] simulated the emission rate of the O( 5 S) atomic oxygen emission at 135.6 nm, which had been observed by Sagawa et al . [].…”

Section: Introductionmentioning

confidence: 93%

“…[], and Martynenko et al . [] employed whole atmosphere models to explore the generation mechanisms for the wave 4 structures. In particular, Martynenko et al .…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Resolving daily wave 4 nonmigrating tidal winds at equatorial and midlatitudes with WINDII: DE3 and SE2

Cho

Shepherd

2015

JGR Space Physics

View full text Add to dashboard Cite

The Wind Imaging Interferometer observed nonmigrating tidal winds from 90 to 260 km during daytime and at 99 and 250 km during the night and found that the amplitudes and phases of the daytime and nighttime extracted wave 4 for a given day were different, indicating the presence of more than one component. The objective of this study is to resolve those components. Local time versus longitude propagation plots over individual seasons revealed the diurnal eastward propagating wave number 3 (DE3), the semidiurnal eastward propagating wave number 2 (SE2) and the stationary planetary wave number 4 (SPW4). Using a fitting procedure for individual days it was then found possible to determine the amplitudes and phases of DE3 and SE2 and the amplitude of SPW4 for each day, using a constant phase for the SPW4 obtained from the propagation plot. These DE3 and SE2 values were compared with data‐constrained model results yielding good agreement at 99 km but with mixed agreement at 250 km. Time series analysis of 164 days duration showed considerable variability in the amplitudes of the zonal wind for DE3 with the SPW4 tending to follow; DE3 power spectral peaks occurred near 12, 16, and 32 days. The SE2 showed less variability, also displaying spectral peaks but shifted from the DE3 peaks. Monthly averages of the DE3 and SE2 show that the DE3 is predominant at the equatorial mesosphere/lower thermosphere region. On the other hand, the SE2 is uniformly present at lower and midlatitudes and all altitudes.

show abstract

“…[] and Martynenko et al . [], but less so for SE2, the former displaying sudden amplitude peaks not shared by SE2. The amplitude of SPW4 was found to be quite variable.…”

Section: Discussionmentioning

confidence: 99%

“…In particular, Martynenko et al . [] simulated the emission rate of the O( 5 S) atomic oxygen emission at 135.6 nm, which had been observed by Sagawa et al . [].…”

Section: Introductionmentioning

confidence: 93%

See 1 more Smart Citation

Resolving daily wave 4 nonmigrating tidal winds at equatorial and midlatitudes with WINDII: DE3 and SE2

Cho

Shepherd

2015

JGR Space Physics

View full text Add to dashboard Cite

show abstract

“…Walach (presentation available at http://www.research.lancs.ac.uk/portal/en/activities/characterising-and-understanding-temporal-variability-in-ionospheric-flows-using-superdarn-data(21f8f287‐e085‐4418‐8a1c‐387d597ef2f0).html) used SuperDARN data to show that greater solar wind corresponds to greater variability in convection and is currently investigating the drivers of this variability in more detail. Use of SuperDARN observations in the Canadian Ionosphere and Atmosphere Model (Martynenko et al, ) allows detailed features in the plasma density distribution to be reproduced, especially in the topside ionosphere at high latitudes. Data from the Assimilative Mapping of Ionospheric Electrodynamics can be used to assimilate multiple data sources (SuperDARN) for testing in whole atmosphere models.…”

Section: Building Blocks For Better Modelsmentioning

confidence: 99%

Future Directions for Whole Atmosphere Modeling: Developments in the Context of Space Weather

et al. 2019

View full text Add to dashboard Cite

Coupled Sun-to-Earth models represent a key part of the future development of space weather forecasting. With respect to predicting the state of the thermosphere and ionosphere, there has been a recent paradigm shift; it is now clear that any self-respecting model of this region needs to include some representation of forcing from the lower atmosphere, as well as solar and geomagnetic forcing. Here we assess existing modeling capability and set out a road map for the important next steps needed to ensure further advances. These steps include a model verification strategy, analysis of the impact of nonhydrostatic dynamical cores, and a cost-benefit analysis of model chemistry for weather and climate applications.Plain Language Summary Numerical models that comprehensively simulate the region between the Sun and the Earth represent a key part of the future development of space weather forecasting. With respect to predicting the Earth's upper atmosphere, there has been a recent paradigm shift; it is now clear that any self-respecting model of this region needs to include some representation of impacts from below (the lower atmosphere) as well as from above (solar variability and the effects of solar wind fluctuations). Here we assess existing modeling capability and set out a road map for the important next steps needed to ensure further advances. These steps include a strategy for checking the accuracy of the models, an analysis of the impact of methods chosen to represent upper atmosphere dynamics, and an assessment of the relative benefits of comprehensive (but expensive) and simplified (but inexpensive) model representations of upper atmosphere chemistry. Key Points:• We have reached a paradigm shift, where any self-respecting space weather model of the upper atmosphere now needs to have some representation of the lower atmosphere • Further model developments are required in several key areas, including dynamical cores and the improved representation of gravity waves • A road map of future actions is presented to ensure good progress continues to be made; this includes the development of a multi-model verification strategy

show abstract

“…html) used SuperDARN data to show that greater solar wind corresponds to greater variability in convection and is currently investigating the drivers of this variability in more detail. Use of SuperDARN observations in the Canadian Ionosphere and Atmosphere Model (Martynenko et al, 2014) allows detailed features in the plasma density distribution to be reproduced, especially in the topside ionosphere at high latitudes. Data from the Assimilative Mapping of Ionospheric Electrodynamics can be used to assimilate multiple data sources (SuperDARN) for testing in whole atmosphere models.…”

Section: Ionosphere and Electrodynamicsmentioning

confidence: 99%

Space Weather Quarterly Volume 16, Issue 4, 2019

2019

Space Weather Quarterly

View full text Add to dashboard Cite

Physical mechanisms responsible for forming the 4-peak longitudinal structure of the 135.6nm ionospheric emission: First results from the Canadian IAM

Cited by 12 publications

References 48 publications

Resolving daily wave 4 nonmigrating tidal winds at equatorial and midlatitudes with WINDII: DE3 and SE2

Resolving daily wave 4 nonmigrating tidal winds at equatorial and midlatitudes with WINDII: DE3 and SE2

Future Directions for Whole Atmosphere Modeling: Developments in the Context of Space Weather

Space Weather Quarterly Volume 16, Issue 4, 2019

Contact Info

Product

Resources

About