the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
| 10 Jul 2025
Atmospheric Chemistry Experiment (ACE) Winds
Abstract. The Atmospheric Chemistry Experiment Fourier Transform Spectrometer (ACE-FTS) uses limb geometry to measure transmittance spectra of Earth's atmosphere by solar occultation. Line-of-sight wind speeds can be derived via Doppler shifts of molecular lines in infrared spectra. The wind look direction angles relative to geodetic North are derived from geometry. We validate the new ACE version 5.3 (v.5.3) line-of-sight winds with MIGHTI and meteor radar vector wind observations and find a ±15 m/s sunrise/sunset shift above 80 km. We also compare line-of-sight winds from ACE-FTS v.5.2 and v.5.3 with vector winds from the MERRA-2, HWM14, and WACCM-X models. A ±15 m/s sunrise-sunset bias persists in v.5.3 winds above 80 km but decreases to less than ±5 m/s below 50 km. The v.5.3 wind speed profiles have improved relative to v.5.2 at all altitudes. Over 20 years of ACE wind speeds can be used to test atmospheric models.
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Status: open (until 14 Oct 2025)
- CC1: 'Comment on egusphere-2025-3116', Robin Wing, 14 Jul 2025 reply
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RC1: 'Comment on egusphere-2025-3116', Anonymous Referee #1, 16 Sep 2025
reply
The paper "Atmospheric Chemistry Experiment (ACE) Winds" by Wyatt et al. presents a new version (v5.3) and validation of ACE Line-of-sight (LOS) wind speeds. Covering altitudes from 18 to 140km, ACE LOS winds are a valuable data set because direct wind observations in the upper stratosphere to lower thermosphere are quite sparse. ACE v5.3 winds are compared against MIGHTI, meteor radars, MERRA2 reanalysis, HWM14, and WACCM-X. It is found that the new data version is much improved over v5.2. For example, biases are much reduced at altitudes below 50km.
Overall, the paper is well written and recommended for publication in AMT after addressing a few minor comments as detailed below.
SPECIFIC COMMENTS:(1) l.44-51: Suggestion for future work:
You should compare ACE LOS winds with the Japanese JAWARA reanalysis that was developed in the frame of the ICSOM project. Unlike MERRA2, JAWARA assimilates data even in the upper mesosphere and therefore provides quite realistic winds even at altitudes somewhat above 100km.https://jawara.nipr.ac.jp/home
Sato, K., Tomikawa, Y., Kohma, M., Yasui, R., Koshin, D., Okui, H., et al. (2023), Interhemispheric Coupling Study by Observations and Modelling (ICSOM): Concept, Campaigns, and Initial Results, Journal of Geophysical Research Atmospheres, 128(11), e2022JD038249, doi:10.1029/2022JD038249.
Koshin, D., Sato, K., Watanabe, S., & Miyazaki, K. (2025), The JAGUAR‑DAS whole neutral atmosphere reanalysis: JAWARA, Progress in Earth and Planetary Science, 12:1, https://doi.org/10.1186/s40645-024-00674-3.
(2) Is there a reason why you are not comparing to TIDI winds?
TIDI has a much longer dataset than MIGHTI.
(3) l.59-66: You should specify whether data from a free WACCM run were used in your study, or whether WACCM was at least nudged to analysis/reanalysis at low altitudes. This information is important because, depending on setup, WACCM data may be closer or less close to the real atmospheric state.
(4) In L.119 you mention that after homogenization ACE altitude profiles are shifted as a whole to match an analysis of the Canadian weather model at Environment and Climate Change Canada.
Please provide some information how large these shifts typically are.
(5) l.203: What do you think is the reason for the mentioned outliers?
(6) l.207: Where do you think the sunrise/sunset biases come from?
Could this be some thermal drift of the satellite, or an effect of stray light that would be different between sunrise/sunset?
(7) Another bias becomes evident in Fig.6b. At 100km ACE sunset winds are offset by 40m/s with respect to the radars. As measurements are coincident, this should not be an effect of atmospheric tides.
Do you have any idea where this offset comes from?
(8) In Fig.7a ACE v5.3 shows a strong 50m/s jump at 50km, not seen in V5.2, or MERRA2.
How often do such effects occur?
Do you have any explanation for this effect?
(9) About Fig.10a:
It is quite encouraging how well ACE captures the general global circulation patterns!
You should also mention that in September/October the winds in the tropics at 50km (eastward) and 80km (westward) are opposite. This is as expected from the vertical structure of the semiannual oscillation (SAO). See, for example, Ern et al. (2021), their Figs. 2 and 3.
It is also notable that the westward winds at 80km in the tropics are much stronger than in MERRA2. From Ern et al. (2021), Fig.2 it looks like MERRA2 winds are strongly damped above 65km.
(10) Data availability section is missing.TECHNICAL COMMENTS:
l.26: atom oxygen -> atomic oxygen
l.228: able compare -> able to compare
Citation: https://doi.org/10.5194/egusphere-2025-3116-RC1 -
RC2: 'Comment on egusphere-2025-3116', Anonymous Referee #2, 30 Sep 2025
reply
The paper “Atmospheric Chemistry Experiment (ACE) Winds” shows the updated Atmospheric Chemistry Experiment Fourier Transform Spectrometer (ACE-FTS) v.5.3 winds. In the paper they compare these winds to the previous (v.5.2) winds as well as the Ionospheric Connection Explorer (ICON) Michelson Interferometer for Global High-resolution Thermospheric Imaging (MIGHTI) winds in close temporal and spatial proximity. Along with data comparison, the paper compares the new ACE wind data to MERRA-2, HMW14, and WACCM-X model winds. The new winds are improved but still show a 15 m/s bias above 80 km, but the bias is down to 5 m/s below 50 km. Overall the paper is well written and recommended for publication after a few minor comments.
Specific Comments:
In Figure 8 the MERRA-2 profile between 40 and 60 km jumps around 10 m/s between altitudes. This is surprising for averaged model data over 3000 profiles. Can the authors double check that these in fact are coming out of the MERRA-2 data and if real, add a statement to the paper explaining why this is occurring.
Why does Figure 9 not have a legend like the rest of the Figures? The same strangeness in Figure 8 is seen in the differences as well.
On line 286 the paper states that “It is not reasonable for a model to predict wind patterns within the polar vortex during winter…”. There are models that reasonably predict this wind pattern (MERRA-2 for example). This is just a reference to HMW14 and not models in general?
It appears that in Figure 12, there is an error in plotting. Figures 12a-c are the same as Figures 12d-f. Please fix this and make sure the discussion of this figure in the body of the work is still correct with the correct figures.
Citation: https://doi.org/10.5194/egusphere-2025-3116-RC2
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Dear ACE Team,
Congratulations on such a nice draft. ACE winds in the middle atmosphere is a great achievement.
I would like to offer a small correction regarding the lidar measurements cited in the introduction.
ALOMAR measures wind in both daylight and at night in both the stratosphere and mesosphere. ALOMAR winds routinely extend above 80 km during nighttime soundings and compare well with the co-located meteor radar winds in the region of overlap.
There are currently 6 operational doppler lidars for the middle atmosphere (ALOMAR, Kühlungsborn, OHP, OPAR, and two mobile systems in China). For ALOMAR and Kühlungsborn, we operate whenever there is clear sky.
Comparing to reanalysis winds above ~50 km may not tell you if your measurements are accurate. There is very little data to constrain the reanalysis winds at high altitudes, plus numerical sponge layers damp out critical dynamics. I would suggest comparing your observations to ground based observations (lidar + radar).
Kind regards,
Robin Wing