the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
| 03 Jan 2024
On the importance of middle atmosphere observations on ionospheric dynamics using WACCM-X and SAMI3
Abstract. Recent advances in atmospheric observations and modelling have enabled the investigation of thermosphere-ionosphere interactions as a whole atmosphere problem. This study examines how dynamical variability in the middle atmosphere (MA) affects day-to-day changes in the thermosphere and ionosphere. Specifically, this study investigates ionosphere-thermosphere interactions during different time periods of January 2013 using the Specified Dynamics Whole Atmosphere Community Climate Model, eXtended version (WACCM-X) coupled to the Naval Research Laboratory (NRL) ionosphere of the Sami3 is Another Model of the Ionosphere (SAMI3) model. To represent the weather of the day, the coupled thermosphere-ionosphere system is nudged below 90 km toward the atmospheric specifications provided by the Navy Global Environmental Model for High-Altitude (NAVGEM-HA). Hindcast simulations during January 2013 are carried out with the full data set of observations normally assimilated by NAVGEM-HA, and with a degraded dataset where observations above 40 km are not assimilated. Ionospheric regions with statistically significant changes are identified using key ionospheric properties, including the electron density, peak electron density, and height of the peak electron density. Ionospheric changes show a spatial structure that illustrates the impact of two different types of coupling between the thermosphere and the ionosphere: wind-dynamo coupling through electric conductivity and ion-neutral interactions in the upper thermosphere. The two simulations presented in this study show that changing the state of the MA affects ionosphere-thermosphere coupling through changes in the behavior and amplitude of non-migrating tides, resulting in improved key ionospheric specifications.
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Status: closed
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RC1: 'Comment on egusphere-2023-3065', Anonymous Referee #1, 15 Jan 2024
This is model (SD-WACCM-X) study focused on effect of assimilation of middle atmosphere (MA) data to ability to predict the structure and variability of the ionosphere and upper atmosphere. The significant impact of inclusion of MA data assimilation is reported. Even though the agreement between model simulations and observational data is by far not ideal, which is weakness of this investigation, the main conclusion on impact of MA data assimilation remains valid. I recommend publication of this paper after minor revision.
Comments:
Line 151: January 6, 2013. Is it onset or maximum of SSW? Specify in the paper.
Wording and misprints:
- Line 131: “Emmert and Co-authors” should be “Emmert et al.”
- Line 311: I recommend change “MA observations” to “MA (above 40 km) observations” for readers, who will not read the whole paper in detail.
Citation: https://doi.org/10.5194/egusphere-2023-3065-RC1 -
AC1: 'Reply on RC1', Angeline Burrell, 12 Apr 2024
We thank the reviewer for their comments. We have made the suggested corrections to the text.
Line 131 (now line 136): Fixed reference authorship and verified the rest of the reference was correct.
Line 311 (now line 328): Made the recommended change to the text.
Citation: https://doi.org/10.5194/egusphere-2023-3065-AC1
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RC2: 'Comment on egusphere-2023-3065', Anonymous Referee #2, 05 Feb 2024
On the importance of middle atmosphere observations on ionospheric dynamics using WACCM-X and SAMI3 by Sassi et al. examines the role of middle atmosphere specification for capturing ionospheric variations. The authors compare two SD-WACCM-X simulations with and without specifying the middle atmosphere dynamics via the Navy Global Environmental Model for High-Altitude (NAVGEM-HA). The difference between the simulations quantifies the contribution due to specifying the middle atmosphere dynamics.
The study is in general well written and interesting which deals with new aspects important for the community. However, in this reviewer’s opinion the manuscript should be strengthened.
The manuscript is interesting but this reviewer finds it a bit limited in scope. It would gain in strength and significance by addressing the following points:
The author focus on specific LT and averages, but it would bemore meaningful to quantify the change in day-to-day variability between the two cases (The authors mention several time the importance of day-to-day variability). While the text mentions day-to-day variability the study itself focuses on variability in general during the specific time periods. The study would gain if ability to capture the day-to-day variability would be added.
If the authors want to demonstrate the value of adding middle atmospheric observations to better specify the ionospheric variability, it is surprising that the focus is on 10 LT. The authors should either motivate it or add later local times especially in the afternoon.
The condition during the time period needs to be described in one short section at the beginning (inc. F10.7, PW evolution & SSW peak, geomagnetic activity). Would the results be different without the change in PW activity. How general is the result? Wasn’t there some minor geomagnetic activity as well during the time period?
Please make the longitudinal range the same in the plots, so that 0 deg is in the same location e.g. Fig 1 and Fig 3.
Specific comments:
Line 12: “wind-dynamo coupling through electric conductivity” This reads like the variability is induced by conductivity not by the wind dynamo forcing. Is this the intention?
Line 20: specify “ this region” since the sentence before mentions “from below”
Line 27 & 28: “ Varies between 20% and 35% during” please specify with respect to what and if this is solar minimum or maximum conditions since this is important for interpretation.
Line 35: “associated with zonal structure of the ionosphere” This sounds like migrating tides do not produce any longitudinal variation in the ionosphere which is not true. The wind dynamo and ion-neutral coupling considering just migrating tides have non-migrating signals in the plasma density.
Line 52: “improve forecast skills” while not wrong, it sounds to this reviewer a bit like the community is doing a lot of forecasting. Prediction might be a better word since often it is more a hindcast or monitoring.
Line 54: “error growth up to 40%” please specify in what quantity and where to make it meaningful
Line 62: “ has significant implications for the day-to-day variability…” probably a “to capture day-to-day variability” should be added.
Line 64: “change by a factor of two” a time scale is missing.
Line 66: was CITS spelled out before?
Line 90-92: “These atmospheric state variables have been augmented with 3-hour forecasts to provide 3-hourly output.” It seems that this is contradicting the previous sentence and should be clarified. Is 6hourly output used in the manuscript. Since the manuscript is a hindcast. Is this a real 3hour forecast or is it a realtime analysis and updated every 3 hours.
Line 99: This is a naïve question but why not nudging & assimilating the observations directly into WACCM-X? Are there technical issues?
Line 105: It would be better to provide height resolution in the same units e.g., scale height, for both models.
Line 114: “longitudinal extension” could you specify if zonal convection is included.
Line 122: Maybe clarify that it is an IGRF like magnetic field. This is what Joe Huba is saying. If not mistaken a dipole is fitted to the IGRF field at each longitude. It might be that the electrodynamics does not include terms which vary in mag. latitude and longitude like Art Richmond’s dynamo in WACCM-X. This should be clarified.
Line 125: Portably also wind dynamo forcing is included and maybe plasma pressure gradient driven current. All forcing should be mentioned.
Line 125: This might be confusing. The previous sentence mentioned gravity driven current, but then the ExB is only based on the wind dynamo and labeled as self-consistent. This need explanation since the gravity driven current will also induce an electric field and tend to close through the E-region.
Line 129: “fully interactive” This is not very specific- rather say two or one way coupled.
Line 139: Restructure the sentence so that the second part has the same order as the first part, otherwise twice 16 LT is confusing. So first mention the condition then the LT.
Caption Fig 4. What does “slice with longitude at the equator ~90deg” mean
Line 156: How is “more longitudinal structure” defined? Both have it in similar magnitude but it is different in longitude.
Line 164: “can only be explained by difference in amplitude of non-migrating solar tides”. This is a strong statement as also phase changes could contribute, modulation by the magnetic field, and migrating tides which are modulated. Could the authors elaborate why non-migrating tides and the amplitude specifically?
Figure 1: Why is the focus on 10 LT. The NMF2 peaks in general in the afternoon. Isn’t it more important to capture the plasma density there and also the gradients? The study would be stronger to focus on these times when the plasma density is build up and reaches in general its highest point.
Line 169” “ExB runs out” reformulate since this is inaccurate.
Line 171: If a stronger ExB drift is demonstrated why not looking at ExB directly? It seems complicated to use the electron density if the drift is available.
Line 180 discussion: Since only one local time is shown it is not clear if the ExB drift is really different or maybe there is just a phase shift i.e. the maximum upward drift is at a different local time. This should be examined.
Section 3.2 Define “dynamically active” why is this period described like that?
Line 254 “ability to predict the day-to-day variability” In this reviewer’s option the study did not focus on day-to-day variability since day-to-day changes were not examined. Rather averaged variability of the difference between two simulations (might be the reviewer’s misunderstanding- but a timescale is not included just 10 days are used- not day-to day differences quantified). The study would gain by adding how day-to-day variability is affected.
Line 255: remove one )
Line 274: The occurrence of the SSW should be mentioned at the beginning not the end in this reviewer’s opinion.
Line 276: SSW are long lasting events if not mistaken. How much are the results transferrable to a period without any SSW? This would make the study stronger by not focusing on SSW disturbed time periods which most often happen only in January but not every year.
Line 281” “difference in non-migrating tides” While this might be true it is not the only potential reason.
Line 284: It is not clear why a wave 4 pattern is mentioned and what the connection to the current study is. DE3 is strong during equinox conditions but it was not demonstrated that DE3 is important in the current study. Do the authors suggest this?
Fig 9: It is a bit doubtful that the EIA is around -28deg mag. latitude in the NOOBS case when it does not have the characteristic shape.
Table 1 & 2: It is not clear to this reviewer what the observed south and NOOBS north entry as well as observed north and noobs south means. Maybe the whole table is not clear to the reviewer- how to interpret it.
Line 313: “impact in E-region conductivity” this was not demonstrated and since the neutral density and composition is the same in the two simulations it might only be the ion composition which differ. So it might not be a strong point. Please elaborate or demonstrate.
Line 320: It is good that the authors discuss the potential that ionospheric observations might mitigate this problem. Especially since this is what is available most frequently.
Discussion section: The authors should briefly mention what they expect if a two-way coupling is included (maybe it was already done but not described).
Citation: https://doi.org/10.5194/egusphere-2023-3065-RC2 -
AC2: 'Reply on RC2', Angeline Burrell, 12 Apr 2024
We thank the reviewer for their comments. We have made many of the suggested corrections to the text, all points are discussed below. When referring to line numbers below “line X” refers to lines in the original document while “new line Y” refers to line numbers in the updated document.
General points:
“The author focus on specific LT and averages, but it would bemore meaningful to quantify the change in day-to-day variability between the two cases (The authors mention several time the importance of day-to-day variability). While the text mentions day-to-day variability the study itself focuses on variability in general during the specific time periods. The study would gain if ability to capture the day-to-day variability would be added.”
- We agree that this would be an interesting study, but is beyond the scope of the current paper.
“If the authors want to demonstrate the value of adding middle atmospheric observations to better specify the ionospheric variability, it is surprising that the focus is on 10 LT. The authors should either motivate it or add later local times especially in the afternoon.”
- We focused on two different local times, 10:00 LT and 14:00 LT. These two times were chosen because of the observed changes in the ionosphere, as explained on new lines 153-154.
“The condition during the time period needs to be described in one short section at the beginning (inc. F10.7, PW evolution & SSW peak, geomagnetic activity). Would the results be different without the change in PW activity. How general is the result? Wasn’t there some minor geomagnetic activity as well during the time period?”
- This was included in the start of Section 3, and is now in the first paragraph of Section 3. The atmospheric behavior for the time periods used in this study is also discussed in detail in the paper referenced at the end of this section.
“Please make the longitudinal range the same in the plots, so that 0 deg is in the same location e.g. Fig 1 and Fig 3.”
- The longitude ranges differ in the figures so that the longitudes of interest can be easily observed. While we appreciate that it is annoying to have figures with different longitude ranges, we felt it was more important to chose ranges that ensured the selected longitudes of interest were not split across the edge of the figure.
Specific comments:
Line 12/new line 12-13: This line was changed to “variability induced by wind-dynamo coupling through electric conductivity and ion-neutral interactions in the upper thermosphere.” to clarify the intention of the text.
Line 20/new line 20: Changed to “the short-term variability in the E-region”
Lines 27-28/new lines 27-28: Added “with respect to the long-term mean (calculated using data from 1967-1989)”
Line 35/new line 36: Added “When studied at a fixed local time (LT),” to provide the specific context for this sentence.
Line 52/new line 52: changed “forecasting skills” to “predictions” as suggested.
Line 54/new line 54: clarified by adding: “global root mean square error in zonal wind”
Line 62/new line 62: made suggested change.
Line 64/new line 64: added “during boreal winter”
Line 66/new line 66: CITS was first defined in the previous paragraph (new line 48).
Line 90-92/new line 92-93: clarified by adding a sentence: “Due to the sparseness of observations, especially in the critical UMLT, analysis fields at a cadence higher than 6 hours are indistinguishable from intermediate forecasts, and we augmented the 6-hour analysis with 3-hourly forecasts; this approach has also been used in (Sassi et al. 2020).”
Line 99/new line 101: This would be a different study that would require the use of WACCMX+DART. While this alternative approach would also likely be interesting, our method is more adaptable to a mechanistic study like the one presented here. Using WACCMX+DART would not be mechanistic (allowing us to easily see the theoretical effect on the ionosphere driven by MA data assimilation), but an interactive study that makes it more difficult to isolate the driving mechanisms.
Line 105/new line 107: This is not possible to do because of the model infrastructure. NAVGEM uses a spectral triangular formulation (hence, T119) and WACCM is is a grid-point model. Attempting to use the same formulation of units and grid resolution for both models would be incorrect in their implementations.
Line 114/new lines 116-118: I am not sure what kind of “zonal convection” the reviewer is referring to. The SAMI3 description was updated to add: “…a two-dimensional model of the ionosphere that handles plasma dynamics and chemical evolution along magnetic field lines (varying in latitude and altitude). SAMI3 extends SAMI2 by adding the longitudinal dimension, which includes zonal transport.” If the reviewer is referring to high-latitude plasma convection, then this is handled by driving SAMI3 with Weimer.
Line 122 /new lines 125-128: provided a more thorough explanation of modified apex coordinates.
Line 125: Further details about the standard SAMI3 set up are available in the references.
Line 129/new line 133: The software allows for different way to couple the ionosphere to the thermosphere. For this particular study, we are using a one-way coupled configuration for practical reasons, but the software developed at NRL is also capable of supporting two-way coupling. We changed the wording to say: “The software infrastructure that extends SAMI3 to allow either one-way or two-way coupling with the atmosphere”. We also updated the wording in the subsequent paragraph to make it clear that we are using a one-way coupled set-up, and why we chose to do so.
Line 139/new line 143-149: reworded introduction entirely, taking this into account.
Caption Fig 4: Adjusted wording to say: “along a SAMI3 slice with a longitude of ~90˚E at the geographic equator”
Line 156/new line 171: changed wording to “more complex longitudinal structure”
Line 164: It may be possible that there are changes in the phases in the migrating tides that are affecting the ionosphere. However, our approach is to examine the impacts in a local time framework. This makes the phase changes of the migrating tides unimportant, since they can’t be observed in this frame of reference.
Figure 1: 10LT and 16LT are used as representative of a complex behavior and exemplify the point of our study: lack of MA observations impacts the ions distribution and transport. The reviewer is correct in pointing out that more advanced studies can be done, but this is a a simple exemplification of many other facets. It is also important to examine the impact of MA observations at different local times. While this selection of case studies is limited, we think it is important to focus on more than just one LT region.
Line 169/new lines 186-187: changed to: “Once the vertical ExB drifts lift the plasma to magnetic field lines with higher apex altitudes, the change in the plasma pressure gradient along these longer field lines will cause the ions to diffuse downwards along the magnetic field lines to lower altitudes and higher latitudes”
Line 171: We also look at the ExB drift directly. See Figure 3 and Line 200 (new line 200-210).
Line 180: The reviewer may be correct, but for this study it doesn’t matter: the goal of the study is not to investigate the detailed processes operating at this time; it is a sensitivity study to demonstrate that the lack of MA observations is impactful on the ionospheric properties. To ensure this is clearer, we added “at this time and location” to the end of this sentence.
Sect 3.2: This wording refers to the presence or absence of a SSW. This is made more clear now by rewriting the introduction to the case studies in the first paragraph of Section 3.
Line 254 and elsewhere: Replaced “day-to-day” with “intra-day” throughout the text.
Line 255/new line 271: It would be incorrect to remove one parenthesis, since two are needed for closure.
Line 274/new line 290: The SSW is first mentioned on Line 151. The new rewording now brings it up in the first paragraph of Section 3.
Line 276/new line 292: Both an SSW period and a period without SSW were examined to see if the influence of MA observations would be important during extreme times, normal times, or not be important at all. This is now clarified in the first paragraph of Section 3.
Line 281/new line 296: There may be other things, but the MA observations specifically affected the non-migrating solar tides, as is possible due to the nature of this controlled mechanistic experiment. This is why we are talking about their impacts in this paragraph.
Line 284/new line 300: Added reasoning behind discussing these wave patterns in particular to the text.
Figure 9: We agree with the reviewer, and the text states that the NOOBS example shows an instance without the EIA present. The figure caption also says that in the absence of an EIA, the start will mark the peak density in this region. The figure caption has been further clarified to avoid confusion.
Table 1 and 2: Adjusted the wording in new lines 310-318 more clearly explain that we are examining the low-latitude VTEC distribution by grouping data into three types of EIA configurations: no EIA, an EIA with a higher northern peak, and an EIA with a higher southern peak.
Line 313/new line 330: Added text relating the E-region conductivity to the transport caused by the ExB drift.
Line 320: :)
Discussion: We decided not to do this, because we are specifically interested in the way the MA drives the F-region ionosphere. Because the MA is below the ionosphere, we do not expect two way coupling to change the conclusions we found here.
Citation: https://doi.org/10.5194/egusphere-2023-3065-AC2
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AC2: 'Reply on RC2', Angeline Burrell, 12 Apr 2024
Status: closed
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RC1: 'Comment on egusphere-2023-3065', Anonymous Referee #1, 15 Jan 2024
This is model (SD-WACCM-X) study focused on effect of assimilation of middle atmosphere (MA) data to ability to predict the structure and variability of the ionosphere and upper atmosphere. The significant impact of inclusion of MA data assimilation is reported. Even though the agreement between model simulations and observational data is by far not ideal, which is weakness of this investigation, the main conclusion on impact of MA data assimilation remains valid. I recommend publication of this paper after minor revision.
Comments:
Line 151: January 6, 2013. Is it onset or maximum of SSW? Specify in the paper.
Wording and misprints:
- Line 131: “Emmert and Co-authors” should be “Emmert et al.”
- Line 311: I recommend change “MA observations” to “MA (above 40 km) observations” for readers, who will not read the whole paper in detail.
Citation: https://doi.org/10.5194/egusphere-2023-3065-RC1 -
AC1: 'Reply on RC1', Angeline Burrell, 12 Apr 2024
We thank the reviewer for their comments. We have made the suggested corrections to the text.
Line 131 (now line 136): Fixed reference authorship and verified the rest of the reference was correct.
Line 311 (now line 328): Made the recommended change to the text.
Citation: https://doi.org/10.5194/egusphere-2023-3065-AC1
-
RC2: 'Comment on egusphere-2023-3065', Anonymous Referee #2, 05 Feb 2024
On the importance of middle atmosphere observations on ionospheric dynamics using WACCM-X and SAMI3 by Sassi et al. examines the role of middle atmosphere specification for capturing ionospheric variations. The authors compare two SD-WACCM-X simulations with and without specifying the middle atmosphere dynamics via the Navy Global Environmental Model for High-Altitude (NAVGEM-HA). The difference between the simulations quantifies the contribution due to specifying the middle atmosphere dynamics.
The study is in general well written and interesting which deals with new aspects important for the community. However, in this reviewer’s opinion the manuscript should be strengthened.
The manuscript is interesting but this reviewer finds it a bit limited in scope. It would gain in strength and significance by addressing the following points:
The author focus on specific LT and averages, but it would bemore meaningful to quantify the change in day-to-day variability between the two cases (The authors mention several time the importance of day-to-day variability). While the text mentions day-to-day variability the study itself focuses on variability in general during the specific time periods. The study would gain if ability to capture the day-to-day variability would be added.
If the authors want to demonstrate the value of adding middle atmospheric observations to better specify the ionospheric variability, it is surprising that the focus is on 10 LT. The authors should either motivate it or add later local times especially in the afternoon.
The condition during the time period needs to be described in one short section at the beginning (inc. F10.7, PW evolution & SSW peak, geomagnetic activity). Would the results be different without the change in PW activity. How general is the result? Wasn’t there some minor geomagnetic activity as well during the time period?
Please make the longitudinal range the same in the plots, so that 0 deg is in the same location e.g. Fig 1 and Fig 3.
Specific comments:
Line 12: “wind-dynamo coupling through electric conductivity” This reads like the variability is induced by conductivity not by the wind dynamo forcing. Is this the intention?
Line 20: specify “ this region” since the sentence before mentions “from below”
Line 27 & 28: “ Varies between 20% and 35% during” please specify with respect to what and if this is solar minimum or maximum conditions since this is important for interpretation.
Line 35: “associated with zonal structure of the ionosphere” This sounds like migrating tides do not produce any longitudinal variation in the ionosphere which is not true. The wind dynamo and ion-neutral coupling considering just migrating tides have non-migrating signals in the plasma density.
Line 52: “improve forecast skills” while not wrong, it sounds to this reviewer a bit like the community is doing a lot of forecasting. Prediction might be a better word since often it is more a hindcast or monitoring.
Line 54: “error growth up to 40%” please specify in what quantity and where to make it meaningful
Line 62: “ has significant implications for the day-to-day variability…” probably a “to capture day-to-day variability” should be added.
Line 64: “change by a factor of two” a time scale is missing.
Line 66: was CITS spelled out before?
Line 90-92: “These atmospheric state variables have been augmented with 3-hour forecasts to provide 3-hourly output.” It seems that this is contradicting the previous sentence and should be clarified. Is 6hourly output used in the manuscript. Since the manuscript is a hindcast. Is this a real 3hour forecast or is it a realtime analysis and updated every 3 hours.
Line 99: This is a naïve question but why not nudging & assimilating the observations directly into WACCM-X? Are there technical issues?
Line 105: It would be better to provide height resolution in the same units e.g., scale height, for both models.
Line 114: “longitudinal extension” could you specify if zonal convection is included.
Line 122: Maybe clarify that it is an IGRF like magnetic field. This is what Joe Huba is saying. If not mistaken a dipole is fitted to the IGRF field at each longitude. It might be that the electrodynamics does not include terms which vary in mag. latitude and longitude like Art Richmond’s dynamo in WACCM-X. This should be clarified.
Line 125: Portably also wind dynamo forcing is included and maybe plasma pressure gradient driven current. All forcing should be mentioned.
Line 125: This might be confusing. The previous sentence mentioned gravity driven current, but then the ExB is only based on the wind dynamo and labeled as self-consistent. This need explanation since the gravity driven current will also induce an electric field and tend to close through the E-region.
Line 129: “fully interactive” This is not very specific- rather say two or one way coupled.
Line 139: Restructure the sentence so that the second part has the same order as the first part, otherwise twice 16 LT is confusing. So first mention the condition then the LT.
Caption Fig 4. What does “slice with longitude at the equator ~90deg” mean
Line 156: How is “more longitudinal structure” defined? Both have it in similar magnitude but it is different in longitude.
Line 164: “can only be explained by difference in amplitude of non-migrating solar tides”. This is a strong statement as also phase changes could contribute, modulation by the magnetic field, and migrating tides which are modulated. Could the authors elaborate why non-migrating tides and the amplitude specifically?
Figure 1: Why is the focus on 10 LT. The NMF2 peaks in general in the afternoon. Isn’t it more important to capture the plasma density there and also the gradients? The study would be stronger to focus on these times when the plasma density is build up and reaches in general its highest point.
Line 169” “ExB runs out” reformulate since this is inaccurate.
Line 171: If a stronger ExB drift is demonstrated why not looking at ExB directly? It seems complicated to use the electron density if the drift is available.
Line 180 discussion: Since only one local time is shown it is not clear if the ExB drift is really different or maybe there is just a phase shift i.e. the maximum upward drift is at a different local time. This should be examined.
Section 3.2 Define “dynamically active” why is this period described like that?
Line 254 “ability to predict the day-to-day variability” In this reviewer’s option the study did not focus on day-to-day variability since day-to-day changes were not examined. Rather averaged variability of the difference between two simulations (might be the reviewer’s misunderstanding- but a timescale is not included just 10 days are used- not day-to day differences quantified). The study would gain by adding how day-to-day variability is affected.
Line 255: remove one )
Line 274: The occurrence of the SSW should be mentioned at the beginning not the end in this reviewer’s opinion.
Line 276: SSW are long lasting events if not mistaken. How much are the results transferrable to a period without any SSW? This would make the study stronger by not focusing on SSW disturbed time periods which most often happen only in January but not every year.
Line 281” “difference in non-migrating tides” While this might be true it is not the only potential reason.
Line 284: It is not clear why a wave 4 pattern is mentioned and what the connection to the current study is. DE3 is strong during equinox conditions but it was not demonstrated that DE3 is important in the current study. Do the authors suggest this?
Fig 9: It is a bit doubtful that the EIA is around -28deg mag. latitude in the NOOBS case when it does not have the characteristic shape.
Table 1 & 2: It is not clear to this reviewer what the observed south and NOOBS north entry as well as observed north and noobs south means. Maybe the whole table is not clear to the reviewer- how to interpret it.
Line 313: “impact in E-region conductivity” this was not demonstrated and since the neutral density and composition is the same in the two simulations it might only be the ion composition which differ. So it might not be a strong point. Please elaborate or demonstrate.
Line 320: It is good that the authors discuss the potential that ionospheric observations might mitigate this problem. Especially since this is what is available most frequently.
Discussion section: The authors should briefly mention what they expect if a two-way coupling is included (maybe it was already done but not described).
Citation: https://doi.org/10.5194/egusphere-2023-3065-RC2 -
AC2: 'Reply on RC2', Angeline Burrell, 12 Apr 2024
We thank the reviewer for their comments. We have made many of the suggested corrections to the text, all points are discussed below. When referring to line numbers below “line X” refers to lines in the original document while “new line Y” refers to line numbers in the updated document.
General points:
“The author focus on specific LT and averages, but it would bemore meaningful to quantify the change in day-to-day variability between the two cases (The authors mention several time the importance of day-to-day variability). While the text mentions day-to-day variability the study itself focuses on variability in general during the specific time periods. The study would gain if ability to capture the day-to-day variability would be added.”
- We agree that this would be an interesting study, but is beyond the scope of the current paper.
“If the authors want to demonstrate the value of adding middle atmospheric observations to better specify the ionospheric variability, it is surprising that the focus is on 10 LT. The authors should either motivate it or add later local times especially in the afternoon.”
- We focused on two different local times, 10:00 LT and 14:00 LT. These two times were chosen because of the observed changes in the ionosphere, as explained on new lines 153-154.
“The condition during the time period needs to be described in one short section at the beginning (inc. F10.7, PW evolution & SSW peak, geomagnetic activity). Would the results be different without the change in PW activity. How general is the result? Wasn’t there some minor geomagnetic activity as well during the time period?”
- This was included in the start of Section 3, and is now in the first paragraph of Section 3. The atmospheric behavior for the time periods used in this study is also discussed in detail in the paper referenced at the end of this section.
“Please make the longitudinal range the same in the plots, so that 0 deg is in the same location e.g. Fig 1 and Fig 3.”
- The longitude ranges differ in the figures so that the longitudes of interest can be easily observed. While we appreciate that it is annoying to have figures with different longitude ranges, we felt it was more important to chose ranges that ensured the selected longitudes of interest were not split across the edge of the figure.
Specific comments:
Line 12/new line 12-13: This line was changed to “variability induced by wind-dynamo coupling through electric conductivity and ion-neutral interactions in the upper thermosphere.” to clarify the intention of the text.
Line 20/new line 20: Changed to “the short-term variability in the E-region”
Lines 27-28/new lines 27-28: Added “with respect to the long-term mean (calculated using data from 1967-1989)”
Line 35/new line 36: Added “When studied at a fixed local time (LT),” to provide the specific context for this sentence.
Line 52/new line 52: changed “forecasting skills” to “predictions” as suggested.
Line 54/new line 54: clarified by adding: “global root mean square error in zonal wind”
Line 62/new line 62: made suggested change.
Line 64/new line 64: added “during boreal winter”
Line 66/new line 66: CITS was first defined in the previous paragraph (new line 48).
Line 90-92/new line 92-93: clarified by adding a sentence: “Due to the sparseness of observations, especially in the critical UMLT, analysis fields at a cadence higher than 6 hours are indistinguishable from intermediate forecasts, and we augmented the 6-hour analysis with 3-hourly forecasts; this approach has also been used in (Sassi et al. 2020).”
Line 99/new line 101: This would be a different study that would require the use of WACCMX+DART. While this alternative approach would also likely be interesting, our method is more adaptable to a mechanistic study like the one presented here. Using WACCMX+DART would not be mechanistic (allowing us to easily see the theoretical effect on the ionosphere driven by MA data assimilation), but an interactive study that makes it more difficult to isolate the driving mechanisms.
Line 105/new line 107: This is not possible to do because of the model infrastructure. NAVGEM uses a spectral triangular formulation (hence, T119) and WACCM is is a grid-point model. Attempting to use the same formulation of units and grid resolution for both models would be incorrect in their implementations.
Line 114/new lines 116-118: I am not sure what kind of “zonal convection” the reviewer is referring to. The SAMI3 description was updated to add: “…a two-dimensional model of the ionosphere that handles plasma dynamics and chemical evolution along magnetic field lines (varying in latitude and altitude). SAMI3 extends SAMI2 by adding the longitudinal dimension, which includes zonal transport.” If the reviewer is referring to high-latitude plasma convection, then this is handled by driving SAMI3 with Weimer.
Line 122 /new lines 125-128: provided a more thorough explanation of modified apex coordinates.
Line 125: Further details about the standard SAMI3 set up are available in the references.
Line 129/new line 133: The software allows for different way to couple the ionosphere to the thermosphere. For this particular study, we are using a one-way coupled configuration for practical reasons, but the software developed at NRL is also capable of supporting two-way coupling. We changed the wording to say: “The software infrastructure that extends SAMI3 to allow either one-way or two-way coupling with the atmosphere”. We also updated the wording in the subsequent paragraph to make it clear that we are using a one-way coupled set-up, and why we chose to do so.
Line 139/new line 143-149: reworded introduction entirely, taking this into account.
Caption Fig 4: Adjusted wording to say: “along a SAMI3 slice with a longitude of ~90˚E at the geographic equator”
Line 156/new line 171: changed wording to “more complex longitudinal structure”
Line 164: It may be possible that there are changes in the phases in the migrating tides that are affecting the ionosphere. However, our approach is to examine the impacts in a local time framework. This makes the phase changes of the migrating tides unimportant, since they can’t be observed in this frame of reference.
Figure 1: 10LT and 16LT are used as representative of a complex behavior and exemplify the point of our study: lack of MA observations impacts the ions distribution and transport. The reviewer is correct in pointing out that more advanced studies can be done, but this is a a simple exemplification of many other facets. It is also important to examine the impact of MA observations at different local times. While this selection of case studies is limited, we think it is important to focus on more than just one LT region.
Line 169/new lines 186-187: changed to: “Once the vertical ExB drifts lift the plasma to magnetic field lines with higher apex altitudes, the change in the plasma pressure gradient along these longer field lines will cause the ions to diffuse downwards along the magnetic field lines to lower altitudes and higher latitudes”
Line 171: We also look at the ExB drift directly. See Figure 3 and Line 200 (new line 200-210).
Line 180: The reviewer may be correct, but for this study it doesn’t matter: the goal of the study is not to investigate the detailed processes operating at this time; it is a sensitivity study to demonstrate that the lack of MA observations is impactful on the ionospheric properties. To ensure this is clearer, we added “at this time and location” to the end of this sentence.
Sect 3.2: This wording refers to the presence or absence of a SSW. This is made more clear now by rewriting the introduction to the case studies in the first paragraph of Section 3.
Line 254 and elsewhere: Replaced “day-to-day” with “intra-day” throughout the text.
Line 255/new line 271: It would be incorrect to remove one parenthesis, since two are needed for closure.
Line 274/new line 290: The SSW is first mentioned on Line 151. The new rewording now brings it up in the first paragraph of Section 3.
Line 276/new line 292: Both an SSW period and a period without SSW were examined to see if the influence of MA observations would be important during extreme times, normal times, or not be important at all. This is now clarified in the first paragraph of Section 3.
Line 281/new line 296: There may be other things, but the MA observations specifically affected the non-migrating solar tides, as is possible due to the nature of this controlled mechanistic experiment. This is why we are talking about their impacts in this paragraph.
Line 284/new line 300: Added reasoning behind discussing these wave patterns in particular to the text.
Figure 9: We agree with the reviewer, and the text states that the NOOBS example shows an instance without the EIA present. The figure caption also says that in the absence of an EIA, the start will mark the peak density in this region. The figure caption has been further clarified to avoid confusion.
Table 1 and 2: Adjusted the wording in new lines 310-318 more clearly explain that we are examining the low-latitude VTEC distribution by grouping data into three types of EIA configurations: no EIA, an EIA with a higher northern peak, and an EIA with a higher southern peak.
Line 313/new line 330: Added text relating the E-region conductivity to the transport caused by the ExB drift.
Line 320: :)
Discussion: We decided not to do this, because we are specifically interested in the way the MA drives the F-region ionosphere. Because the MA is below the ionosphere, we do not expect two way coupling to change the conclusions we found here.
Citation: https://doi.org/10.5194/egusphere-2023-3065-AC2
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AC2: 'Reply on RC2', Angeline Burrell, 12 Apr 2024
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