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REVIEW 4 major objections 5 minor 42 references

Dynamics of Subsurface Flows in Solar Active Regions During the May 2024 Storm

T0 review · 4 major / 5 minor · reviewed 2026-08-07 · deepseek-v4-flash

Pith's one-line read The paper claims NHGV, a measure of how day-to-day kinetic-helicity change varies across depth beneath a sunspot group, begins rising at least one day before major flares; 49% of recorded flares fell on its peak day, 32% on the next.

desk verdict Solid new ring-diagram measurements for the May 2024 storm ARs, but the NHGV precursor statistic is post hoc and needs controls plus a temporal-label fix before it can carry the claim. read the letter →

arxiv 2506.08141 v2 pith:PFTZOORH submitted 2025-06-09 astro-ph.SR

classification astro-ph.SR
keywords solaractiveregionssubsurfaceflowskinetichelicityNHGVflareprecursorsring-diagramanalysishelioseismologyspaceweather
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

The paper tries to establish that a metric called the Normalized Helicity Gradient Variance (NHGV), which measures how strongly the day-to-day change in kinetic helicity varies across depth beneath a sunspot group, rises before major solar flares and tops out on the flare day itself or one day earlier. Using ring-diagram helioseismology on SDO/HMI Dopplergrams, the authors tracked flows from the surface to 25 Mm under the three active regions behind the May 2024 storm: AR 13663, AR 13664, and AR 13697, the last being AR 13664's second rotation. They report that 49% of the recorded flares occurred on the day NHGV hit a local maximum and 32% on the following day, so 81% of flares fell within one day of an NHGV peak. If the pattern holds, a flow-based quantity could join magnetic parameters as an operational flare precursor. The paper also finds that near-surface flow divergence anticorrelates with magnetic flux and that kinetic helicity tracks magnetic twist, with a same-sign twist-writhe relation suggesting the regions emerged already twisted.

What carries the argument

The load-bearing object is the Normalized Helicity Gradient Variance (NHGV), built from daily kinetic-helicity maps: $\mathrm{NHGV} = \Delta k(t)\,\bar{k}(t)$, with $\bar{k}(t) = \sum_r (k_r(t)-k_{r+1}(t))$ the vertical gradient of radial kinetic helicity and $\Delta k(t) = \sum_r (\Delta k_r(t)-\Delta k_{r+1}(t))$ the depth-spread of its day-to-day change $\Delta k_r(t) = k_r(t)-k_r(t-1)$. A large NHGV therefore requires both a strong vertical stratification of helicity and helicity evolving at different rates at different depths. The helicity values come from ring-diagram analysis of HMI Dopplergrams: horizontal flows in tracked patches around each active region give divergence and vorticity, the continuity equation with solar model S densities converts these to radial velocity, and the radial helicity is volume-integrated from the surface to 25 Mm. NHGV is the parameter that carries the paper's precursor claim: its peaks, rather than the amplitude of any single flow component, are what align with flare days.

What would settle it

Apply the identical NHGV pipeline to a matched set of large, complex active regions that produced no flares, and also scramble the observed flare dates against the measured NHGV curves; if non-flaring regions show NHGV peaks as often as flaring ones, or if random shuffles reproduce an 81% peak-or-next-day coincidence rate, then the claimed precursor relation is indistinguishable from noise. A decisive measurement would additionally track AR 13664 through the 14 May X8.8 flare window, which the present data could not cover.

Watch

Extended reading notes

Core claim

The central claim is that NHGV behaves as a precursor: it begins rising at least one day before major flaring activity, reaches a local maximum on the day of peak flare activity, and declines while flaring continues. NHGV is the product of two depth-dependent quantities, the vertical gradient of radial kinetic helicity and the spread across depth of its day-to-day change, so a large value indicates a helicity structure that is both strongly stratified and evolving at different rates at different depths. The authors compute it from ring-diagram flow measurements, corrected by subtracting quiet-Sun flows, over the outer 25 Mm of the convection zone of three active regions of Hale class $\beta\gamma\delta$. Across all three regions, 49% of the recorded X- and M-class flares occurred on the day NHGV peaked and 32% on the following day, and NHGV peaks were captured even around comparatively low-intensity flares. The authors interpret the rise as supporting NHGV's use in flare forecasting, and they read the same-sign twist-writhe correlation as evidence that the pre-flare NHGV increase reflects subsurface flows responding to twist the flux tube already carried on emergence, not flows generating the twist that triggers the eruption.

Load-bearing premise

The result stands or falls on the assumption that the NHGV peaks identified in the same daily time series used for the statistics are real features whose alignment with flare days means something, rather than bumps that would coincide with flare days about as often by chance; the paper does not test this against non-flaring control regions or a random-alignment null model, and its own closing paragraph defers that test to future work.

Editorial extensions

If this is right

  • If the NHGV-flare alignment holds, daily NHGV curves could be added to flare-forecast schemes as a kinetic complement to magnetic parameters such as twist and unsigned flux, the current standard inputs to prediction systems.
  • The claimed sequence implies a warning window, not just a peak: because NHGV begins rising at least one day before major flaring, a sustained multi-day rise would itself flag rising eruptive potential.
  • The correlations imply that near-surface (1-13 Mm) subsurface flows are coupled to photospheric magnetism: divergence anticorrelates with unsigned flux ($r_p=-0.52$, 99% confidence), and kinetic helicity correlates with magnetic twist ($r_p=0.42$, 97% confidence).
  • The same-sign twist-writhe correlation ($r_p=0.52$, 99% confidence) implies these regions emerged with substantial pre-existing twist, so their helicity budget is set before the subsurface flows respond, constraining the $\Sigma$-effect picture of helicity buildup.
  • The persistence of strong divergence, vorticity, and helicity in AR 13697 after a full solar rotation implies that a large complex region can maintain vigorous subsurface dynamics even while its surface area is shrinking, delaying the expected decay.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • A decisive check the paper announces but does not perform, deferring it in its closing paragraph to planned work: run the identical NHGV pipeline on a matched sample of large, complex, non-flaring active regions; if NHGV peaks appear there with comparable frequency, the 81% peak-or-next-day alignment would be a statistical coincidence rather than a precursor signal.
  • The central event of the storm is not directly measured: the X8.8 flare of 14 May fell outside the tracked window, and the paper covers it only by extrapolating a rising trend from a 9 May minimum, so the strongest claimed case rests on inference.
  • A randomization test would tighten the claim without any new data: shuffle flare timestamps against the observed NHGV curves and count how often at least 81% of flares fall within a day of a local maximum by chance; the paper reports no such null model.
  • Because the authors' quoted lead time is a lower bound set by daily averaging, recomputing NHGV from flow maps with 6-12 hour cadence could sharpen the forecast window, provided ring-diagram inversions at that cadence retain enough signal.
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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

4 major / 5 minor

Summary. This paper uses ring-diagram analysis of SDO/HMI Dopplergrams to measure subsurface horizontal flows in three complex active regions (AR 13663, AR 13664, and its returning counterpart AR 13697) during the May 2024 storm. From divergence, vorticity, and kinetic helicity profiles down to 25 Mm, the authors define the Normalized Helicity Gradient Variance (NHGV, Eqs. 6–9) and report that NHGV peaks on the day of or one day before most flares, with 49% of flares on the peak day and 32% on the following day. They also report correlations between divergence and unsigned flux (r_p = -0.52), kinetic helicity and magnetic twist (r_p = 0.42), and twist and writhe (r_p = 0.52). The paper concludes that NHGV is a promising flare precursor and calls for a larger statistical study.

Significance. If the precursor claim were quantitatively established, NHGV would be a valuable helioseismic input to flare forecasting. The manuscript has clear strengths: it uses established ring-diagram methods, applies a quiet-region systematics correction, defines NHGV transparently through Eqs. 6–9, and provides a complete table of X/M flares in Appendix A. However, the central quantitative claim is currently a described trend rather than a tested hypothesis: it is based on three flaring ARs, visually selected daily-averaged NHGV peaks, no non-flaring control regions, and no null-hypothesis test. The authors' own final paragraph acknowledges that a larger sample with higher temporal resolution is needed, which is consistent with treating this as a case-study correlation rather than a demonstrated precursor.

major comments (4)
  1. [§3.2, Fig. 5] The 49%/32% statistic is computed by matching flare days to local maxima read from the same NHGV curves against which the flares are plotted. No peak-finding rule is pre-specified, no uncertainty is attached to the time of each maximum, and the analysis includes only three flaring active regions. Because the peaks are selected on the data used for the claim, the alignment is not a test of a precursor hypothesis. Please (i) define an automated peak criterion, e.g., prominence relative to the QR-normalized noise level, (ii) propagate flow uncertainties into NHGV to obtain peak-time uncertainties, and (iii) compare against a null model, such as shuffling flare days over the tracking windows or analyzing NHGV in non-flaring control active regions. Without such a test, the '81% of flares near NHGV peaks' statement cannot be distinguished from chance alignment.
  2. [§2.1 and Fig. 4 caption] The manuscript does not state the exact 24-hour interval represented by each daily flow value. The text says flows are daily averages, and the Figure 4 caption says the flare bars are 'centered at 12:00 UT each day,' but the start, center, or end of the tracking window is never defined. If the NHGV value labeled May 5 includes flows from May 4 12:00 to May 5 12:00, then a flare at 09:00 UT on May 5 lies inside the averaging window that produced the peak, making the 'same-day' alignment contemporaneous rather than a precursor. Please specify the interval precisely and recompute the same-day percentage using only flares that occur after the end of the averaging window; the next-day 32% figure is less affected but still depends on the peak list.
  3. [§3.2, Fig. 5] NHGV is plotted without error bars, although the underlying ring-diagram flow measurements carry uncertainties that are used elsewhere, e.g., in the weighted means of the quiet-region correction in §2.2. The absence of uncertainties makes it impossible to assess whether the claimed peaks, such as the May 4 peak for AR 13663 or the May 8 peak for AR 13664, are significant relative to daily measurement noise, and whether the claimed rise 'at least a day prior' is robust. Please propagate the flow velocity uncertainties through Eqs. 6–9 to produce error bars for NHGV, or provide an equivalent noise estimate.
  4. [Abstract and §3.2] The abstract and §3.2 present the peak-day and next-day flare fractions as evidence for a precursor, but a precursor requires a demonstrable lead time between a well-defined NHGV rise and flare onset. A statement that flares cluster around NHGV peaks is a joint-distribution description, not a predictive lead-time statement. Please rephrase the central claim to report the distribution of lead times between the start of the NHGV rise and individual flare onsets, and state explicitly how many same-day flares occur after the NHGV averaging window has closed. The authors' own acknowledgment in §4 that a larger sample and higher temporal resolution are needed should also be reflected in the abstract's language.
minor comments (5)
  1. [Eq. (5)] There is a typographical error in the line defining K_r: 'dr, ,' should read 'dr,'.
  2. [Eq. (7)] The expression uses 'r takes only the odd indices of depth (1, 3, 5, ...)', but the mapping from these indices to physical depths in Mm is not defined; please specify the depth grid used in the ring-diagram inversions.
  3. [Table 1] The layout of Table 1 is difficult to read: the Day #, Date, Location, and Quiet Period columns are interleaved with dashes in a way that obscures which quiet periods correspond to which active region and day. Please reformat the table with clear rows and column headings.
  4. [§3.3 and Figure 6] The phrase 'unsigned unsigned magnetic flux' appears twice; one 'unsigned' should be removed.
  5. [§2.1 and Table 1] The Hale class notation 'βγδ' is missing spaces in several places (e.g., 'Hale classβγδ'); please typeset this consistently as 'βγδ'.

Circularity Check

0 steps flagged · score 1.0 of 10

No significant circularity: NHGV is defined independently of flare data, and the precursor claim is an empirical correlation, not a fitted input.

full rationale

The derivation chain is self-contained. NHGV is constructed from ring-diagram flow measurements through Equations 6-9, using divergence, vorticity, radial velocity, and kinetic helicity; flare times are external GOES/NOAA catalog data. The 49%/32% alignment statistic is therefore a post-hoc empirical correlation, not a quantity fitted to the flare outcome or defined in terms of it. The only self-citation (B. Lekshmi et al. 2022) is used to note a previously reported correlation between kinetic and current helicities, and the current correlation is computed independently from the new measurements, so that citation is not load-bearing for the central NHGV precursor claim, which rests on the external studies of Reinard et al. (2010) and Gao et al. (2014) plus the new data. The absence of a pre-specified peak-finding rule and of a non-flaring control sample is a legitimate statistical validity concern, but it does not amount to circularity: no equation in the paper reduces the precursor claim to its own input, and no fitted parameter is renamed as a prediction. The authors' own discussion that a larger sample with higher temporal resolution is needed to quantitatively assess NHGV as a flare indicator further confirms that the present result is offered as a case-study correlation rather than a derivation forced by construction.

Assumptions & free parameters 4 free parameters · 6 assumptions · 0 invented entities

The central NHGV claim uses no fitted parameters in the helicity definition, but several hand-chosen settings (patch sizes, QR windows, flare weighting, odd-depth sums) affect the resulting curves. The physical interpretation relies on standard helioseismic assumptions and on the chosen magnetic proxies.

free parameters (4)
  • Flare weighting increment = 0.5 per M-class step (M1 = 0.5, X4 = 6.5)
    Hand-chosen weighting used to draw the grey flare bars and to phrase 'major flares'; different weights could change which days look flare-rich, though the NHGV definition itself does not use it.
  • AR patch size = 25.92 degrees (AR 13663), 27.2 degrees (ARs 13664/13697)
    Patch sizes were chosen to contain each AR and to allow 25 Mm depth coverage; they determine the finite-difference gradients and the depth reach, affecting all flow parameters.
  • Quiet-region normalization windows = specific dates listed in Table 1
    QR periods from neighboring Carrington rotations are used to subtract systematics; the choice of quiet days affects the corrected velocities and hence NHGV amplitudes.
  • Depth index selection in Eq. 7 = odd indices only (1,3,5,...)
    The spread Delta-k(t) sums only odd depth indices without stated justification; this choice affects NHGV values and could shift peak timing.
assumptions (6)
  • standard math Calculus identities for divergence, vorticity, and volume integration are standard.
    Invoked in Section 2.3, Eqs. 1-5, without proof.
  • domain assumption Solar Model S density profile (Christensen-Dalsgaard 1998) accurately represents the subsurface layers used in Eq. 3.
    Used to convert divergence into radial velocity and helicity; errors in model density propagate into kr.
  • domain assumption Ring-diagram analysis of SDO/HMI Dopplergrams yields reliable daily horizontal flow velocities at depths down to 25 Mm for the custom patch sizes.
    The entire study rests on this method; the authors cite Hill 1988 and Corbard et al. 2003 and use custom patches.
  • domain assumption Subtracting error-weighted mean quiet-region velocities removes center-to-limb and B0-angle systematics on the few-day timescale.
    Adopted from Jain et al. 2015 in Section 2.2; if residual systematics remain, flow gradients and NHGV could be biased.
  • domain assumption Flare daily counts and flare index determined from GOES/NOAA reports represent the true flaring state of each AR.
    Used to align NHGV peaks with flares in Section 3.2; instrument saturation or misattribution would affect the 49% and 32% statistics.
  • domain assumption The writhe proxy W equals lambda divided by d from Liu et al. 2024 captures the magnetic writhe of the AR.
    Used in Section 3.3 to infer that flux tubes emerged twisted; the proxy is an approximation.

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Cite this review

Pith. "Pith review of Dynamics of Subsurface Flows in Solar Active Regions During the May 2024 Storm." pith.science (2026). https://pith.science/paper/PFTZOORH

@misc{pith2026250608141,
  author       = {Pith},
  title        = {Pith review of: Dynamics of Subsurface Flows in Solar Active Regions During the May 2024 Storm},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/PFTZOORH}},
  note         = {Machine review of arXiv:2506.08141}
}
read the original abstract

In May 2024, the Sun exhibited intense magnetic activity, marked by numerous high-intensity flares resulting from the interaction and merging of NOAA ARs 13664 and 13668 in the southern hemisphere and AR 13663 in the northern hemisphere. Notably, AR 13664 displayed an extended lifetime, remaining visible after a full solar rotation and continuing to produce significant flaring activity. In this study, we investigate the evolution of sub-photospheric plasma flows associated with these ARs during their disk passage using ring-diagram analysis of SDO/HMI Dopplergrams. We analyze flow divergence, vorticity, and kinetic helicity across depths from the surface to 25 Mm, revealing pronounced temporal and depth-dependent variations. Our observations indicate that the majority of flares occur on the days when the Normalized Helicity Gradient Variance, a measure of kinetic helicity spread, peaks or on the following day. Furthermore, we examine the relationship between subsurface flow dynamics and surface magnetic properties of these complex active regions to understand the interaction between them.

Figures

Figures reproduced from arXiv: 2506.08141 by the authors.

Figure 1
Figure 1. HMI full disk magnetogram on 2024 May 06 12:00:00. The NOAA ARs 13661, 13662, 13663, 13664 and 13668 are indicated. 2. ANALYSIS 2.1. Data and Technique In 2024 May, the Sun exhibited heightened activity with the emergence of multiple ARs, several of which produced high-intensity flares. Among these, NOAA AR 13664 was particularly significant, generating multiple major eruptions. Numerous studies have already reporte… view at source ↗
Figure 2
Figure 2. AR 13664 and its neighboring patches on 2024 May 07 12:00:00 UT. The flow vectors are computed for all the patches shown here. To compute the flow gradients, we use the flow vectors from the adjacent patches surrounding the active region [PITH_FULL_IMAGE:figures/full_fig_p003_2.png] view at source ↗
Figure 3
Figure 3. The vϕ (top) and vθ (bottom) components of quiet regions corresponding to ARs 13663 (left) and 13664/13697 (right) when the patch centers were at central meridian distances of −4.11◦ and −0.98◦ , respectively. The red solid line represents the error weighted mean of these velocities. correct for systematics, we subtract the error-weighted mean of the QR velocities (red solid line in [PITH_FULL_IMAGE:figures/full_fi… view at source ↗
Figures from the paper (3 more)
Figure 4
Figure 4. Figure 4: The divergence (∇ · vh), vorticity (∇ × vh), and absolute value of kinetic helicity (Kr) averaged over different depth ranges of the ARs along with errors are plotted as a function of time. The grey vertical bars represent the weighted sum of flares on each day, where …
Figure 5
Figure 5. Figure 5: Top row: NHGV computed using helicities over the depth ranges 1 - 25 Mm (black solid line), 1 - 13 Mm (blue dashed line), and 13 - 25 Mm (red dashed line). The values are normalized by the mean NHGV of QRs. The inset in the NHGV plot of AR 13663 provides a zoomed-in vi…
Figure 6
Figure 6. Figure 6: The kinetic and magnetic parameters of ARs as function of time. Top: The temporal evolution of AR horizontal flow divergence averaged over depths 1 - 13 Mm (blue) and unsigned unsigned magnetic flux (brown), Middle: The kinetic helicity of ARs averaged over depths 1 - …

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Pith tools

Reviewed August 7, 2026 · model on record in the stance chip above.