Skip to main content

Thank you for visiting You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Cosmogenic radionuclides reveal an extreme solar particle storm near a solar minimum 9125 years BP


During solar storms, the Sun expels large amounts of energetic particles (SEP) that can react with the Earth’s atmospheric constituents and produce cosmogenic radionuclides such as 14C, 10Be and 36Cl. Here we present 10Be and 36Cl data measured in ice cores from Greenland and Antarctica. The data consistently show one of the largest 10Be and 36Cl production peaks detected so far, most likely produced by an extreme SEP event that hit Earth 9125 years BP (before present, i.e., before 1950 CE), i.e., 7176 BCE. Using the 36Cl/10Be ratio, we demonstrate that this event was characterized by a very hard energy spectrum and was possibly up to two orders of magnitude larger than any SEP event during the instrumental period. Furthermore, we provide 10Be-based evidence that, contrary to expectations, the SEP event occurred near a solar minimum.


Solar energetic particle (SEP) events occur when abrupt eruptive events on the surface of the Sun, such as coronal mass ejections (CMEs) and solar flares, accelerate particles into the interplanetary medium. These particles – mostly protons – can eventually reach the Earth guided by the heliospheric magnetic field lines.

In the last decades, great attention has been dedicated to solar storms due to the high vulnerability of our modern society to such events. SEP events can, in fact, have serious repercussions on communication and power systems, satellite life expectancy and aircraft operations. For instance, during the so-called ‘’Halloween storms” of 2003, parts of Europe were left without electricity for several hours, and transformers in South Africa were permanently damaged, with enormous costs for society1. In addition, the life of astronauts in space could be endangered due to high radiation exposure connected to SEPs. For example, if an Apollo mission had flown during the SEP event of August 1972, the amount of radiation experienced by the astronauts would have led to severe, possibly even lethal, consequences2. The Apollo missions flew in April and December of the same year.

Furthermore, SEPs have been shown to have an impact on the atmosphere and, for example, trigger ozone depletion3,4,5, with possible effects on climate6,7.

Before the advent of spaceborne measurements to monitor the fluxes of protons in the 1960s, instrumental observation of SEP events has been carried out since the 1950s with neutron monitors. To go further back in time, it is possible to rely on proxy data, such as cosmogenic radionuclides from ice cores and tree rings. Cosmogenic radionuclides, such as 14C, 36Cl, and 10Be, are produced within the Earth’s atmosphere – mainly in the stratosphere - as a result of the interactions of galactic cosmic rays (GCR) with its constituents and are modulated by the solar and the Earth’s magnetic fields. The enhanced flux of relatively lower energy particles during a SEP event can trigger additional production of cosmogenic radionuclides, leaving an imprint in environmental archives.

The strength of SEP events is commonly quantified by the fluence of particles above 30 MeV (F30), that is the integrated flux of particles with kinetic energy above 30 MeV per unit area. This, together with the spectral hardness – which is the proportion of higher-energy protons (>200 MeV) compared to lower-energy protons (>30 MeV) – provides a measure to characterize the events. Some of these events possess sufficient fluxes of high-energy protons (>0.5 GeV) to reach ground-based instruments such as neutron monitors, and are called ground level-enhancements (GLE). To date, GLE no.5 of February 1956 is considered to be the largest hard event detected by ground-based methods, with a F30 of 1.42 × 109 protons/cm28,9, and it is estimated to have caused an increase of about 5% in the global 10Be production rate10,11 compared to the annual GCR-induced production. However, GLE no.5 has not left any significant imprint in 10Be measured in firn cores12,13,14, not even in seasonal data from Greenland15 likely due to the inherent weather/deposition noise in the data and measurement uncertainties.

So far, three events have been detected unambiguously in 10Be, 36Cl, and 14C records – in 774/5 CE16,17,18, 993/4 CE16,19,20 and 660 BCE21,22,23. The 774/5 CE event is the largest SEP event described so far, with a F30 estimated to be one order of magnitude larger than the largest GLE on record (GLE no.5 – 1956-02-23). The results presented by Mekhaldi et al.16 and O’Hare et al.21, indicate that the discovered events were significantly larger than the SEP events detected since the 1950s, thus implying a so far underestimated threat to our society.

Here we present high-resolution 10Be and 36Cl data from the NGRIP (Northern Greenland Ice core Project, 75°6′N, 42°19′W, 2917 m a.s.l.) ice core at 1-year and 4-year resolution, respectively. 10Be was also measured at sub-annual resolution in the EGRIP (Eastern Greenland Ice core Project, 75°38′N, 36°00′W, 2704 m a.s.l.) ice core. Furthermore, lower resolution 10Be data from the GRIP (Greenland Ice core Project, 72°34′N, 37°37′W, 3029 m a.s.l., ~6 years resolution) and the EDML (EPICA Dronning Maud Land in Antarctica, 79°00′S, 0°04′E, 2892 m a.s.l., ~5 years resolution) ice cores are also presented. All records support the occurrence of an extreme SEP event around 9125 years BP (before present, i.e., before 1950 CE), i.e., 7176 BCE, that induced one of the largest short-term 10Be increase detected so far. We include 14C production data24 that, besides supporting our evidence of the occurrence of the SEP event, provide a chronological marker useful to synchronize the dating of the ice core and tree ring timescales. We further discuss the occurrence of the event within the 11-year solar cycle.

Results and discussion

10Be and 36Cl data

10Be concentrations from the NGRIP, EDML, GRIP and EGRIP ice cores and 36Cl concentrations from the NGRIP ice core are displayed in Fig. 1. The data are plotted on the Greenland Ice core Time Scale (GICC05) with an adjustment of −54 years according to Adolphi and Muscheler25 (see Methods section). All the records show a sharp peak around 9125 years BP, in agreement with 14C production data24. The dashed lines in Fig. 1 represent the average concentration of 10Be and 36Cl over the displayed time windows (50 years for GRIP, EDML and EGRIP, ~40 years for NGRIP). This baseline concentration was calculated excluding the values of the peak (highest value for low-resolution GRIP and EDML records and values exceeding 2σ of the baseline around the highest value for high-resolution NGRIP and EGRIP records), thus considered to represent only the regular production rate changes, transport/depositional variability, and measurement scatter. The uncertainty of the baseline is calculated as the standard deviation of the data before and after the peak and also includes the measurement errors. The increase in radionuclide concentrations, which we consider to be solely caused by the production event, is determined for each record as the time-integrated 10Be and 36Cl concentration exceeding their respective baselines (integrated enhancement, represented by the colored area in Fig. 1). Here we consider only the relative enhancements. This approach is more robust as the absolute deposition (and increase) depends on a variety of factors that cannot be reliably quantified at the moment. These include, for example, spatial differences in the transport and deposition of 10Be26. The integrated enhancements were then used to calculate the enhancement factors (integrated enhancement divided by the baseline), i.e., relating the increased radionuclide deposition to the annual average radionuclide deposition before and after the event. In doing so, we obtain enhancement factors for 10Be of 3.85 ± 0.68 (NGRIP), 4.21 ± 1.10 (EDML), 3.74 ± 0.77 (GRIP) and 2.98 ± 0.70 (EGRIP). As for 36Cl, we find an enhancement factor of 6.09 ± 1.21. The baseline values, integrated enhancements and enhancement factors are listed in Table 1. Since the resolution of the 36Cl samples is 4 years, all four corresponding 10Be samples in the NGRIP record were considered in order to calculate the average 10Be value, integrated enhancement and enhancement factor for exactly the same period for 10Be and 36Cl. Averaging the 10Be enhancement factors of all four ice cores, we get an average 10Be enhancement factor of 3.69 ± 0.43. The imprints left in the ice cores by the event reveal a 10Be increase possibly larger than the one left by the 774/5 CE event (3.4 ± 0.316, updated to 3 by Mekhaldi et al.11), but within the same uncertainty envelope. The shape of the peaks does not provide any additional robust information on the nature of the event, as they may also derive from a series of stochastic factors, such as climate and depositional effects27, stratosphere-troposphere exchange rates that are modulated seasonally15,28,29 and sampling issues. Figure 1 includes the 14C production data from Brehm et al.24, with an enhancement factor of 4.5 ± 0.5, about 20% higher than the average 10Be enhancement factor.

Fig. 1: Cosmogenic radionuclide records for the 9125 years BP event.
figure 1

NGRIP and EDML data are shown on the left, GRIP and EGRIP 10Be data and 14C production rate24 are shown on the right. The baseline (average radionuclide concentration excluding the peak values) is shown as a dashed line. The error bar of each data point includes the measurement uncertainty. The enhancement factors (ratio between integrated enhancements in the radionuclide production and the baseline value) are noted next to the peak for each record.

Table 1 Baseline value, integrated enhancement, and enhancement factor of each radionuclide record used.

Spectral hardness

Theoretical calculations show that there is a tight link between the spectral hardness and the 36Cl/10Be ratio30 which has been used and supported in past ice core studies on solar storms11,16,21. The production rates of 10Be and 36Cl, relative to one another, are very sensitive to the energy spectrum of the SEPs reaching Earth, which leaves a specific signature in the radionuclide production enhancement ratio. That is, the production of 10Be by typical SEPs is maximal at ~200 MeV, whereas 36Cl production by SEPs peaks at ~30 MeV, due to a 36Cl production rate resonance effect for proton interaction with 40Ar30. This means that softer events, characterized by a higher proportion of lower energy particles, will trigger a relatively more enhanced production of 36Cl relative to 10Be compared to hard events, and are thus characterized by a larger 36Cl/10Be enhancement ratio. So far, GLE no.24 of August 1972, is the GLE with the softest spectrum to have ever been measured9, and theoretical estimates indicate that it caused an increase of only 1.2% in the global yearly 10Be production rate according to Mekhaldi et al.11 versus a 9.9% increase in 36Cl, leading to a 36Cl/10Be enhancement ratio of 8.6. On the other hand, GLE no.5 of February 1956 is the hardest GLE detected and caused an increase of about 5.1% in the global yearly 10Be production (vs. 8% in 36Cl), leading to a 36Cl/10Be excess ratio of 1.5711.

For the calculation of the 36Cl/10Be ratio, we used 10Be and 36Cl from NGRIP. This is justified by the fact that, at the same location, the non-production variability of 10Be and 36Cl records partly derives from the same factors such as snow accumulation influences on the radionuclide deposition. In addition, the NGRIP 10Be enhancement is very close to the average enhancement of the four 10Be records. Following the approach from O’Hare et al.21, a common 36Cl/10Be baseline was estimated. The 36Cl/10Be ratio was calculated for each 36Cl datapoint and the corresponding four 10Be samples (0.212 ± 0.038). The 36Cl baseline was then calculated from the 10Be baseline (36Cl baseline = 0.212 × 10Be baseline). As a consequence, the baseline variability and its uncertainty are considered only once as opposed to those of each radionuclide being estimated separately. As a result, we obtain a 36Cl/10Be excess ratio of 1.59 ± 0.38. This places the event in the category of a hard event (large fluxes of high energy protons) akin to GLE no.5 from February 1956.

Fluence spectrum

The higher-resolution EGRIP data show that the 10Be peak lasts about 3 years, suggesting one or several events within short time occurred on a much shorter timescale. The production of 10Be nuclides by SEPs occurs higher in the stratosphere, relative to those produced by GCRs11,30,31, because the softer energy spectrum of the incident SEP particles hinders them from penetrating deep into the atmosphere. Upon production, 10Be binds to aerosols and has an average stratospheric residence time of 1–2 years32. As a result, the stratospheric 10Be signal can be assumed to be globally well mixed33. Modelling 10Be transport and deposition using a general circulation model, it has been shown that the well-mixed stratospheric 10Be is the dominant fraction of the radionuclides deposited in ice cores, representing 69% of the signal at GRIP33. Considering that we expect an enhanced SEP-induced production signal almost exclusively in the stratosphere, the overall effect is that we can consider the Greenland 10Be records to be close to the global average production in terms of relative changes for SEP events. We assume that the same holds true for 36Cl that has a similar stratospheric residence time as 10Be34. 10Be peaks may sometimes be linked to strong stratospheric eruptions14,35, but these would not be associated with peaks in 14C and 36Cl records, allowing us to rule out this hypothesis as a cause for the considered event.

As mentioned above, there is a ~20% difference between the relative 10Be and 14C enhancements. A similar disagreement was found for 774/5 CE and 993/4 CE events16. It is difficult to pinpoint the exact reason for this potentially systematic bias. It could be explained by the large uncertainties that characterize the radionuclide production yield functions11. In particular, the different 14C yield functions are characterized by a large spread for E < 500 MeV36. It could possibly also be explained by the different geochemical behavior of 14C and 10Be. However, we find no evidence of a polar bias37, as a larger 10Be amplitude would be expected due to the enhanced polar production rate during solar storms. This is opposite to our observations. The slightly smaller amplitude in the 10Be increase factor from the EGRIP record compared to the other records could also be due to some smoothing effect due to the sampling method for the CFA (Continuous Flow Analysis) samples (see Methods section).

Assuming that the radionuclide records from the Greenland ice cores are varying proportionally to the global production rates of 10Be and 36Cl we can estimate the fluence and magnitude of the 9125 years BP event by assessing the relative increase of 36Cl in NGRIP and 10Be in the various ice cores used here. To estimate the integrated fluence of the event, we compared the observed ice core 36Cl/10Be ratio to ratios obtained from modeling the global production rate of radionuclides caused by known modern events and selected those that agreed within uncertainty as the modern analogs. Mekhaldi et al. (2021)11 reassessed the global 10Be and 36Cl production rates by GCRs and associated increases caused by GLEs throughout 1951–2016. The contribution of the GLEs to the mean global production rate of 10Be and 36Cl was calculated by taking into account the spectral parameters from Raukunen et al.8 and the production functions from Poluianov et al.31. The selected events are listed in Table 2 with their corresponding 36Cl/10Be ratios and fluences.

Table 2 Information about the modern GLEs with spectral shapes agreeing with the 36Cl/10Be ratio for the 9125 years BP event: the 10Be production increase factor of each reference GLE relative to the GCR baseline for Φ = 650 MV, fluences (protons/cm2) above 30, 200 and 430 MeV8,9.

To assess the fluence of the event, we consider the average 10Be enhancement factor for the 9125 years BP event (3.69 ± 0.43) and compare it to the modeled increase in 10Be for the selected modern events (average enhancement factor of the event divided by the enhancement factor of the known GLEs). The obtained coefficients were used to scale the fluence spectra of the modern events. For example, we find that GLE no.5 (1956) caused an annual 10Be production increase (X56) of 5.1%11. We thus multiplied the fluence spectrum of GLE no.5 by the coefficient of 3.69/X56, i.e., a factor of 72 ± 8. The uncertainties of the scaling coefficients include the uncertainties related to the 10Be enhancement factors of both modern events and the 9125 years BP SEP event. The fluences (F30, F200, F430) of the modern events used were taken from Cliver et al.9, based on the spectral parameters provided by Raukunen et al.8. The original spectra of the events that fit the 36Cl/10Be ratio are shown as dashed curves in Fig. 2 whereas the continuous curves show the spectra of the events multiplied by the corresponding scaling coefficient. Finally, we also report the average spectrum of the newly-calculated spectra in the Figure (black curve), with a F30 of 1.64 (±0.53) × 1011 protons/cm2, thus possibly up to two orders of magnitude larger than GLE no. 5, the strongest ground level enhancement to date. The uncertainty of the fluence (>30, 200, and 430 MeV) estimates reported in Table 2 include the uncertainties related to the 10Be enhancement factors and the standard deviation of the scaled fluence spectra. It is possible that the ancient event was characterized by different spectral shape than the smaller modern events, as the 36Cl/10Be ratio provides information on the spectral hardness (relationship between ~30 MeV and ~200 MeV) but no additional details on the spectrum. The fluence (>E) estimates provided in Table 2 should thus be considered with caution, though they illustrate well the extreme nature of the 9125 years BP event. If the 14C enhancement factor is used in the calculations, we find F30 is about 20% higher than using 10Be data from ice cores. This shows that our 10Be-derived fluence reconstruction provides a rather conservative estimate of the protons flux generated during the SEP event. Applying the same methodology but using the updated spectra from Koldobskiy et al.38, we find a F30 of 1.27 (±0.48) × 1011, thus agreeing within uncertainties. The fluence spectra of modern GLEs from Koldobskiy et al.38 have different spectral shapes than the ones from Raukunen et al.8, with lower fluences around 30 MeV, leading to this difference. At higher energies, where 10Be production is the most efficient (200–300 MeV), the spectra are very similar, leading to almost identical F200. A comparison of the fluence spectra of the 9125 years BP event modeled using the fluence spectra of modern GLEs from Koldobskiy et al.38 and Raukunen et al.8 is shown in supplementary Fig. 1.

Fig. 2: Event-integrated fluence spectra (assuming an average Φ = 650 MV).
figure 2

The dashed curves represent the original spectra of the modern events that fit the 36Cl/10Be ratio of the 9125 years BP event. The scaled spectra are shown as continuous lines. The black line shows the average fluence spectrum. The fluences above 30, 200, and 430 MeV (F30, F200 and F430) of the average spectrum are reported. The uncertainties of the fluence estimates include the uncertainty of the 10Be enhancement factor and the standard deviation of the scaled spectra.

For the calculation of the increase in the global production rate of cosmogenic radionuclides caused by GLEs since the 1950s and with respect to production by GCRs, Mekhaldi et al.11 considered a baseline Φ = 650 MV, representing the mean solar modulation during the Space Age39. However, the solar modulation during the studied time period was likely lower40,41. This is, however, uncertain as the different radionuclide-based reconstructions differ significantly40,42. By averaging the solar modulation values presented by Vonmoos et al.40 and Steinhilber et al.41 over 9100–9150 years BP (values of 260 MV and 337 MV respectively), we repeated the calculations with a baseline Φ = 300 MV. If we take, for example, GLE no.5, we then find a scaling coefficient (3.69/X56) of 95 (±10) (vs. 72(±8) at Φ = 650 MV). This would thus imply a F30 of 2.17 (±0.81) × 1011 protons/cm2 making this event larger than the 774/5 CE event11,16,17. On the other hand, if we consider the solar modulation values presented by Roth and Joos42, the average value over the targeted period is closer to the Space Age value (at Φ = 615 MV). Using this value the scaling coefficients are 2% higher than at Φ = 650 MV, which leads only to a minor change for the fluence. A correction for a possible variation in the geomagnetic shielding is not required, as both GCRs and SEPs are affected similarly, leading to no significant changes in the relative production rate enhancement of cosmogenic radionuclides for SEP events11. Our fluence estimates in Table 2 are therefore rather lower limits considering this uncertainty in the calculation.

Timing within the 11-year solar cycle

The relationship between the occurrence of SEP events and solar activity has been discussed for the Space Age period (1950s-Present). It has been observed that the majority of these events occur during an active phase, around solar maxima43,44,45,46. Performing the same analysis on the paleoevents has so far been hindered by the coarser resolution of the radionuclide records and the scarcity of events discovered. Nevertheless, Sukhodolov et al.47 tried to model the 11-year solar cycle around the 774/5 CE event, showing that the SEP event likely occurred near a solar minimum, when 10Be concentration peaks, in agreement with the data shown by Mekhaldi et al.16 and Sigl et al.48. In this study, we compare the modeled 10Be annual production rate caused by GCRs and modulated by the 11-year solar cycle from Mekhaldi et al.11 to our high-resolution 10Be data from EGRIP and NGRIP around 9125 years BP and to 10Be data from 774/5 CE16 to investigate the occurrence of the two events within the solar 11-year cycle. In this analysis we investigate the best fit between the normalized 10Be data from ice cores around the 9125 years BP and 774/5 CE events (excluding the peaks) and the normalized modeled production rate of 10Be from the last 70 years inferred from neutron monitor data (Fig. 3). The fitting has been carried out by shifting the globally averaged and normalized 10Be production rate modeled from neutron monitors in time versus our normalized data from NGRIP and EGRIP around 9125 years BP and the stack of 10Be records for 774/5 CE16 (excluding the peak). The selected scenarios are those for which we obtained statistically significant results (p < 0.05, computed using a t-test). We note that the 11-year solar cycle appears to be well-preserved in the records from NGRIP and EGRIP around 9125 years BP (see Fig. 3a). In general, the ice core data indicate a good agreement with theoretically expected production variations of 10Be by GCRs, with a slight mismatch between 9140 and 9145 years BP. We find that four complete solar cycles with a duration of 10-11 years are observable (approximately 9105–9116, 9116–9126, 9126–9137, 9137–9148 years BP, from peak to peak in the 10Be concentration). From Fig. 3 we can also point out that the relative amplitudes (of about ±20%) of the variations of the 11-year solar cycles match the amplitude of the expected 10Be global production rates for modern solar modulation (here 1963–2008, Fig. 3a). With this fitting we obtain the best correlation coefficients (EGRIP: r = 0.45, p < 0.01; NGRIP: r = 0.51, p < 0.01, stack: r = 0.52, p < 0.01, where r is Pearson correlation coefficient). The suggested timing of the SEP event is indicated with a red line in Fig. 3, as inferred from the 14C production data24, between the growing seasons of 9126 and 9125 years BP. The yearly group sunspot number from Svalgaard et al. (2016)49 corresponding to the neutron monitor-inferred 10Be production rate is also shown in Fig. 3. The SEP event signal and the timing of the event could be affected by a delay of one year due to the residence time of stratospheric 10Be32. The data indicate that the event likely occurred close to the solar minimum. Similar results are obtained for the 774/5 CE event. Figure 3 (panel b) shows the normalized 10Be record from four ice cores from Greenland and Antarctica around the aforementioned event. The records from the Greenland ice cores NGRIP, NEEM and Tunu as well as the Antarctic ice core WAIS were normalized to their baseline (average concentration excluding the peak) and averaged to obtain a global stack. In this way, the noise inherent to the data can be significantly reduced owing to the availability of several radionuclide records, allowing the 11-year solar cycle to be clearly identifiable. Similarly to the period around the 9125 years BP event, the relative amplitudes of the wiggles in 10Be concentrations related to the 11-year solar cycles match the amplitude of the expected 10Be global production rates from 1961 to 1991 (r = 0.69, p < 0.01). In agreement with the results from Sukhodolov et al.47, we find that the 774/5 CE event occurred during a period of low solar activity. The same analysis was carried out on 10Be data around the 993/4 CE16 and 660 BCE21 events, but no significant results were obtained due to the noise inherent to the data (see supplementary Fig. 2).

Fig. 3: Relationship between the solar 11-year cycle and the occurrence of the solar energetic particle events of 9125 years BP and 774/5 CE.
figure 3

a The normalized 10Be records from NGRIP and EGRIP from 9150 to 9105 years BP (see legend) compared to the normalized 10Be annual production rate modeled from neutron monitor data11 for the period 1963–2008 (black line), showing the best correlation coefficients (for details see main text, EGRIP: r = 0.45, p < 0.01; NGRIP: r = 0.51, p < 0.01). The top panel shows the group sunspot number corresponding to the period of the neutron monitor-based production rate49. b The same comparison for the average 10Be data from ice cores from Greenland (NEEM S1, NGRIP, and Tunu) and Antarctica (WAIS) from 770 to 800 CE (blue line) to the period 1961–1991 (neutron-monitor based production rate, black line), showing the best correlation coefficient (for details see main text, r = 0.69, p < 0.01). NEEM, NGRIP, and Tunu from Greenland and WAIS from Antarctica were normalized to their baseline (average 10Be concentration excluding the peak). The red line indicates the estimated onset of the event. The timescales are independently matched25,59, i.e., not matched to get a fit for the 10Be peak.

Timescale implications

The identification of a synchronous peak in 10Be from ice cores and in 14C from tree rings provides a valuable global time-marker. First, the present work confirms the validity of the transfer function proposed by Adolphi and Muscheler25, i.e., the synchronization of the GICC05 and IntCal time-scales based on common centennial-scale variations in the production rates of 10Be and 14C in ice cores and tree rings leading to an adjustment of −54 years (±6 years) to the GICC05 time scale. Secondly, the independent discovery of a peak in radiocarbon and 10Be allows the reduction of the time-scale synchronization uncertainty around that time to about one year connected to the sampling uncertainty and the 10Be residence time. Therefore, our results support the 54 years offset but reduce the uncertainty for the match between the Greenland ice core time scale to the absolute dendrochronologically determined IntCal 14C time scale from an estimated 6 years25 to only one year around 9125 years BP.

To conclude, the data presented here provide evidence for an (or a series of) extreme SEP event(s) around 9125 years BP, showing one of the largest relative 10Be enhancement detected so far in ice cores. Furthermore, the reconstruction of the 36Cl/10Be enhancement ratio suggests that this SEP event was characterized by a very hard spectrum and that it was similar or even larger than the 774/5 CE event in terms of fluence (>30 MeV). This thus further pushes the magnitude of a potential worst-case scenario for SEP events. We also provide evidence that the 9125 years BP and 774/5 CE events occurred near a solar minimum, contrary to expectations but in agreement with previous studies conducted on the 774/5 CE event47. Additional events need to be discovered and studied at similarly high resolution in order to robustly assess whether there is a consistent pattern in the occurrence of extreme SEP events in relation to the 11-year solar cycle and solar activity levels in general, and the probability of occurrence of such extreme events. Identifying whether there exists a relationship between solar activity and occurrence of extreme solar storm events is fundamental for the planning of space missions, in order to minimize the risk for space technology and for the health of astronauts. We also provide a valuable time marker to more precisely constrain the dating of the ice cores and allowing the reduction of the timescale uncertainty.


Ice core data

NGRIP ice was sampled at an equidistant resolution of 11 cm (5 samples per 55 cm ice core bag), corresponding to an average temporal resolution of ~1 year for 10Be samples. Due to the lower 36Cl concentrations, 4 samples were combined for the measurement of 36Cl, resulting in average temporal resolution of ~4 years.

The EGRIP Continuous Flow Analysis (CFA) samples were collected at Climate and Environmental Physics (University of Bern) by sampling the outer part of the CFA ice samples, otherwise discarded50. The EGRIP 10Be samples have been collected at an average temporal resolution of 0.85 years. The excess water was collected in 50 ml vials containing 9Be and 35/37Cl carriers. The water flows through a small plastic tube connected to the CFA system. This procedure implies an uncertainty of a few centimeters in relating the 10Be sample to the depth of the continuously melting ice stick. Smoothing of the CFA chemistry data is typically on the order of months51,52 due to the mixing in the analysis channels. The 10Be line very likely has lower smoothing due to the very high flowrate of the segmented air/water mix in the line.

The GRIP 10Be record is available for this period at a temporal resolution of ~6 years53,54, while EDML 10Be data are available at a resolution of ~5 years.

10Be concentrations from EGRIP CFA samples were blank corrected (average blank 10Be/9Be ratio: ~10% of the sample 10Be/9Be ratio, average 10Be/9Be ratio of the blank samples: 0.013 × 10−12). The other records were not corrected as the blank corrections were considered to be negligible (average blank 10Be/9Be ratio for NGRIP: 2% of the sample 10Be/9Be ratio, average 10Be/9Be ratio of the blank samples: 0.008 × 10−12; average 36Cl/Cl ratio for NGRIP: 3% of the sample 36Cl/Cl ratio, average 36Cl/Cl ratio of the blank samples: 0.001 × 10−12), in agreement with previous studies53.

10Be and 36Cl extraction from ice samples

NGRIP ice samples (~175 g) were prepared using ion exchange chromatography following the procedure described by Adolphi et al.55 with the addition of 0.150 mg of 9Be carrier. The smaller EGRIP excess water samples (~50 g) were prepared without the use of ion exchange chromatography with the addition of 0.100 mg of 9Be carrier. Be(OH)2 was directly precipitated with NH4OH. After centrifugation, the precipitate was transferred to a quartz crucible and the same procedure as Adolphi et al.55 was then followed for the oxidation to BeO and pressing for AMS measurement.

36Cl preparation was carried out following the procedures from Delmas et al.56 with the addition of 4 mg Cl carrier. The measurement of 10Be and 36Cl was carried out at the Laboratory of Ion Beam Physics at ETH, Zurich (Switzerland) using Accelerator Mass Spectrometry57. The measured 10Be/9Be ratios were normalized to the ETH Zurich in house standards S2007N and S2010N57, which were both calibrated relative to the ICN 01-5-1 standard (10Be/9Be = 2.709 × 10−11 nominal)58. The measured 36Cl/Cl ratios were normalized to the ETH Zurich in house standard K382/4N57 with a nominal value of (17.36 ± 0.34) × 10−12.


GICC05 timescale was corrected according to Adolphi & Muscheler25 with an adjustment of −54 years (±6 years). Since the EDML timescale has been matched to GICC0559, the same timescale adjustment has been applied to the EDML ice core to match the IntCal chronology25.

Data availability

The 10Be and 36Cl data generated in this study are provided in the Supplementary InformationSource data are provided with this paper.


  1. Eastwood, J. P. et al. Quantifying the economic value of space weather forecasting for power grids: An exploratory study. Sp. Weather. 16, 2052–2067 (2018).

    ADS  Google Scholar 

  2. Tranquille, C. Solar proton events and their effect on space systems. Radiat. Phys. Chem. 43, 35–45 (1994).

    ADS  CAS  Google Scholar 

  3. Crutzen, P. J., Isaksen, I. S. A. & Reid, G. C. Solar proton events: Stratospheric sources of nitric oxide. Sci. 189, 457–459 (1975).

    ADS  CAS  Google Scholar 

  4. Jackman, C. H. et al. Northern Hemisphere atmospheric influence of the solar proton events and ground level enhancement in January 2005. Atmos. Chem. Phys. 11, 6153–6166 (2011).

    ADS  CAS  Google Scholar 

  5. Päivärinta, S. M. et al. Observed effects of solar proton events and sudden stratospheric warmings on odd nitrogen and ozone in the polar middle atmosphere. J. Geophys. Res. Atmos. 118, 6837–6848 (2013).

    ADS  Google Scholar 

  6. Calisto, M., Usoskin, I. & Rozanov, E. Influence of a Carrington-like event on the atmospheric chemistry, temperature and dynamics: Revised. Environ. Res. Lett. 8, 045010 (2013).

    ADS  CAS  Google Scholar 

  7. Sinnhuber, M. et al. NOy production, ozone loss and changes in net radiative heating due to energetic particle precipitation in 2002–2010. Atmos. Chem. Phys. 18, 1115–1147 (2018).

    ADS  CAS  Google Scholar 

  8. Raukunen, O. et al. Two solar proton fluence models based on ground level enhancement observations. J. Sp. Weather Sp. Clim. 8, 1–19 (2018).

    Google Scholar 

  9. Cliver, E. W., Mekhaldi, F. & Muscheler, R. Solar longitude distribution of high-energy proton flares: Fluences and spectra. Astrophys. J. 900, L11 (2020).

    ADS  CAS  Google Scholar 

  10. Usoskin, I. G. et al. Revisited reference solar proton event of 23 February 1956: Assessment of the cosmogenic-isotope method sensitivity to extreme solar events. J. Geophys. Res. Sp. Phys. 125, 1–13 (2020).

    Google Scholar 

  11. Mekhaldi, F., Adolphi, F., Herbst, K. & Muscheler, R. The Signal of Solar Storms Embedded in Cosmogenic Radionuclides: Detectability and Uncertainties. J. Geophys. Res. Sp. Phys. 126, e2021JA029351 (2021).

    ADS  CAS  Google Scholar 

  12. Beer, J. et al. Use of 10Be in polar ice to trace the 11-year cycle of solar activity. Nature. 347, 164–166 (1990).

    ADS  CAS  Google Scholar 

  13. Berggren, A. M. et al. A 600-year annual 10Be record from the NGRIP ice core, Greenland. Geophys. Res. Lett. 36, 1–5 (2009).

    MathSciNet  Google Scholar 

  14. Baroni, M., Bard, E., Petit, J. R., Magand, O. & Bourlès, D. Volcanic and solar activity, and atmospheric circulation influences on cosmogenic 10Be fallout at Vostok and Concordia (Antarctica) over the last 60years. Geochim. Cosmochim. Acta. 75, 7132–7145 (2011).

    ADS  CAS  Google Scholar 

  15. Zheng, M. et al. Solar and climate signals revealed by seasonal 10Be data from the NEEM ice core project for the neutron monitor period. Earth Planet. Sci. Lett. 541, 116273 (2020).

    CAS  Google Scholar 

  16. Mekhaldi, F. et al. Multiradionuclide evidence for the solar origin of the cosmic-ray events of 774/5 and 993/4. Nat. Commun. 6, 1–8 (2015).

    Google Scholar 

  17. Miyake, F., Nagaya, K., Masuda, K. & Nakamura, T. A signature of cosmic-ray increase in ad 774″775 from tree rings in Japan. Nature. 486, 240–242 (2012).

    ADS  CAS  PubMed  Google Scholar 

  18. Miyake, F. et al. The AD 775 cosmic ray event shown in beryllium-10 data from Antarctic Dome Fuji ice core. Proc. Sci. 30, 84–89 (2015).

    ADS  Google Scholar 

  19. Miyake, F., Masuda, K. & Nakamura, T. Another rapid event in the carbon-14 content of tree rings. Nat. Commun. 4, 1745–1748 (2013).

    ADS  Google Scholar 

  20. Miyake, F. et al. 10Be signature of the cosmic ray event in the 10th Century CE in Both Hemispheres, as Confirmed by Quasi-Annual 10Be Data From the Antarctic Dome Fuji Ice Core. Geophys. Res. Lett. 46, 11–18 (2019).

    ADS  Google Scholar 

  21. O’Hare, P. et al. Multiradionuclide evidence for an extreme solar proton event around 2,610 B.P. (660 BC). Proc. Natl Acad. Sci. 116, 201815725 (2019).

    Google Scholar 

  22. Park, J., Southon, J., Fahrni, S., Creasman, P. P. & Mewaldt, R. Relationship between solar activity and Δ14 C peaks in AD 775, AD 994, and 660 BC. Radiocarbon. 59, 1147–1156 (2017).

    CAS  Google Scholar 

  23. Sakurai, H. et al. Prolonged production of 14 C during the ~660 BCE solar proton event from Japanese tree rings. Sci. Rep. 10, 1–7 (2020).

    Google Scholar 

  24. Brehm, N. et al. Tree-rings reveal two strong solar proton events in 7176 and 5259. Nat. Commun. Preprint at (2021).

  25. Adolphi, F. & Muscheler, R. Synchronizing the Greenland ice core and radiocarbon timescales over the Holocene-Bayesian wiggle-matching of cosmogenic radionuclide records. Climate. 12, 15–30 (2016).

    Google Scholar 

  26. Heikkilä, U. & Smith, A. M. Production rate and climate influences on the variability of 10Be deposition simulated by ECHAM5-HAM: Globally, in Greenland, and in Antarctica. J. Geophys. Res. Atmos. 118, 2506–2520 (2013).

    ADS  Google Scholar 

  27. Pedro, J. et al. Evidence for climate modulation of the 10Be solar activity proxy. J. Geophys. Res. Atmos. 111, 1–6 (2006).

    Google Scholar 

  28. Škerlak, B., Sprenger, M. & Wernli, H. A global climatology of stratosphere-troposphere exchange using the ERA-Interim data set from 1979 to 2011. Atmos. Chem. Phys. 14, 913–937 (2014).

    ADS  Google Scholar 

  29. Stohl, A. et al. Stratosphere-troposphere exchange: A review, and what we have learned from STACCATO. J. Geophys. Res. Atmos. 108, 8516 (2003).

  30. Webber, W. R., Higbie, P. R. & McCracken, K. G. Production of the cosmogenic isotopes3H, 7Be, 10Be, and36Cl in the Earth’s atmosphere by solar and galactic cosmic rays. J. Geophys. Res. Sp. Phys. 112, 1–7 (2007).

    Google Scholar 

  31. Poluianov, S. V., Kovaltsov, G. A., Mishev, A. L. & Usoskin, I. G. Production of cosmogenic isotopes 7Be. (2016).

  32. Heikkilä, U., Beer, J. & Feichter, J. Modeling cosmogenic radionuclides 10Be and 7Be during the maunder minimum using the ECHAM5-HAM general circulation Model. Atmos. Chem. Phys. 8, 2797–2809 (2008).

    ADS  Google Scholar 

  33. Heikkilä, U., Beer, J. & Feichter, J. Atmospheric chemistry and physics meridional transport and deposition of atmospheric 10 Be. Atmos. Chem. Phys. 9, 515–527 (2009).

    ADS  Google Scholar 

  34. Synal, H. A., Beer, J., Bonani, G., Suter, M. & Wölfli, W. Atmospheric transport of bomb-produced 36Cl. Nucl. Inst. Methods Phys. Res. B. 52, 483–488 (1990).

    ADS  Google Scholar 

  35. Baroni, M., Bard, E., Petit, J. R. & Viseur, S. Persistent draining of the stratospheric 10Be reservoir after the samalas volcanic eruption (1257 CE). J. Geophys. Res. Atmos. 124, 7082–7097 (2019).

    ADS  CAS  Google Scholar 

  36. Kovaltsov, G. A., Mishev, A. & Usoskin, I. G. A new model of cosmogenic production of radiocarbon 14 C in the atmosphere. Earth Planet. Sci. Lett. 337–338, 114–120 (2012).

    ADS  Google Scholar 

  37. Bard, E., Raisbeck, G. M., Yiou, F. & Jouzel, J. Solar modulation of cosmogenic nuclide production over the last millennium: Comparison between 14 C and 10Be records. Earth Planet. Sci. Lett. 150, 453–462 (1997).

    ADS  CAS  Google Scholar 

  38. Koldobskiy, S., Raukunen, O., Vainio, R., Kovaltsov, G. A. & Usoskin, I. New reconstruction of event-integrated spectra (spectral fluences) for major solar energetic particle events. Astron. Astrophys. 647, 1–16 (2021).

    Google Scholar 

  39. Usoskin, I. G., Gil, A., Kovaltsov, G. A., Mishev, A. L. & Mikhailov, V. V. Heliospheric modulation of cosmic rays during the neutron monitor era: Calibration using PAMELA data for 2006–2010. J. Geophys. Res. Sp. Phys. 122, 3875–3887 (2017).

    ADS  CAS  Google Scholar 

  40. Vonmoos, M., Beer, J. & Muscheler, R. Large variations in Holocene solar activity: Constraints from 10Be in the Greenland Ice Core Project ice core. J. Geophys. Res. Sp. Phys. 111, 1–14 (2006).

    Google Scholar 

  41. Steinhilber, F. et al. 9,400 Years of cosmic radiation and solar activity from ice cores and tree rings. Proc. Natl Acad. Sci. U. S. A. 109, 5967–5971 (2012).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  42. Roth, R. & Joos, F. A reconstruction of radiocarbon production and total solar irradiance from the Holocene 14 C and CO2 records: Implications of data and model uncertainties. Climate. 9, 1879–1909 (2013).

    Google Scholar 

  43. Shea, M. A. & Smart, D. F. A summary of major solar proton events. Sol. Phys. 127, 297–320 (1990).

    ADS  CAS  Google Scholar 

  44. Feynman, J. et al. Solar proton events during solar cycles 19, 20, and 21. Sol. Phys. 126, 385–401 (1990).

    ADS  CAS  Google Scholar 

  45. Owens, M. J., Lockwood, M., Barnard, L. A., Scott, C. J. & Haines, C. Extreme space-weather events and the solar cycle. Sol. Phys. 1–20 (2021).

  46. Miyake, F., Usoskin, I. & Poluianov, S. Extreme Solar Particle Storms. (IOP Publishing, 2019).

  47. Sukhodolov, T. et al. Atmospheric impacts of the strongest known solar particle storm of 775 AD. Sci. Rep. 7, 1–9 (2017).

    Google Scholar 

  48. Sigl, M. et al. Timing and climate forcing of volcanic eruptions for the past 2,500 years. Nature. 523, 543–549 (2015).

    ADS  CAS  PubMed  Google Scholar 

  49. Svalgaard, L. & Schatten, K. H. Reconstruction of the Sunspot Group Number: The Backbone Method. Sol. Phys. 291, 2653–2684 (2016).

    ADS  Google Scholar 

  50. Erhardt, T., Jensen, C. M., Borovinskaya, O. & Fischer, H. Single particle characterization and total elemental concentration measurements in polar ice using continuous flow analysis-inductively coupled plasma time-of-flight mass spectrometry. Environ. Sci. Technol. 53, 13275–13283 (2019).

    ADS  PubMed  Google Scholar 

  51. Kaufmann, P. R. et al. An improved continuous flow analysis system for high-resolution field measurements on ice cores. Environ. Sci. Technol. 42, 8044–8050 (2008).

    ADS  CAS  PubMed  Google Scholar 

  52. Mekhaldi, F. et al. No coincident nitrate enhancement events in polar ice cores following the largest known solar storms. J. Geophys. Res. Atmos. 122, 11,900–11,913 (2017).

    Google Scholar 

  53. Yiou, F. et al. Beryllium 10 in the Greenland ice core project ice core at summit, Greenland. J. Geophys. Res. 102, 26783–26794 (1997).

    ADS  CAS  Google Scholar 

  54. Muscheler, R. et al. Changes in the carbon cycle during the last deglaciation as indicated by the comparison of 10Be and 14C records. Earth Planet. Sci. Lett. 219, 325–340 (2004).

    ADS  CAS  Google Scholar 

  55. Adolphi, F. et al. Persistent link between solar activity and Greenland climate during the Last Glacial Maximum. Nat. Geosci. 7, 662–666 (2014).

    ADS  CAS  Google Scholar 

  56. Delmas, R. J. et al. Bomb-test 36 Cl measurements in Vostok snow (Antarctica) and the use of 36 Cl as a dating tool for deep ice cores. Tellus B Chem. Phys. Meteorol. 56, 492–498 (2004).

    ADS  Google Scholar 

  57. Christl, M. et al. The ETH Zurich AMS facilities: Performance parameters and reference materials. Nucl. Instrum. Methods Phys. Res. Sect. B Beam Interact. Mater. At. 294, 29–38 (2013).

    ADS  CAS  Google Scholar 

  58. Nishiizumi, K. et al. Absolute calibration of 10Be AMS standards. Nucl. Instrum. Methods Phys. Res. Sect. B Beam Interact. Mater. At. 258, 403–413 (2007).

    ADS  CAS  Google Scholar 

  59. Veres, D. et al. The Antarctic ice core chronology (AICC2012): An optimized multi-parameter and multi-site dating approach for the last 120 thousand years. Climate. 9, 1733–1748 (2013).

    Google Scholar 

Download references


This project was supported by a Royal Physiographic Society of Lund grant (to C.P.), the Swedish Research Council Grant DNR2013-8421 and DNR2018-05469 (to R.M.) and by the RADIATE project under the Grant Agreement 824096 from the EU Research and Innovation programme HORIZON 2020. F.A. acknowledges funding by the Helmholtz Association (VH-NG-1501). F.M. acknowledges funding from the Swedish Research Council (2020-00420). T.E. acknowledges the long-term support of ice core research at the University of Bern by the Swiss National Science Foundation (SNSF) and the Oeschger Center for Climate Change Research. We thank Stefanie Müller and Minjie Zheng for the help in the preparation of the samples for AMS measurements. The EGRIP CFA campaign was organized and directed by the Continuous Flow Analysis Group at the Climate and Environmental Physics Group by Tobias Erhardt and Camilla Jensen with support by the EGRIP project. EGRIP project is directed and organized by the Centre for Ice and Climate at the Niels Bohr Institute, University of Copenhagen. They are supported by funding agencies and institutions in Denmark (A. P. Møller Foundation, University of Copenhagen), USA (US National Science Foundation, Office of Polar Programs), Germany (Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research), Japan (National Institute of Polar Research and Arctic Challenge for Sustainability), Norway (University of Bergen and Trond Mohn Foundation), Switzerland (Swiss National Science Foundation), France (French Polar Institute Paul-Emile Victor, Institute for Geosciences and Environmental research), Canada (University of Manitoba) and China (Chinese Academy of Sciences and Beijing Normal University). The NGRIP ice core project is directed and organized by the Ice and Climate Research Group at the Niels Bohr Institute, University of Copenhagen. It is supported by funding agencies in Denmark (SNF), Belgium (FNRS-CFB), France (IFRTP and INSU/CNRS), Germany (AWI), Iceland (RannIs), Japan (MEXT), Sweden (SPRS), Switzerland (SNF) and the United States of America (NSF).


Open access funding provided by Lund University.

Author information

Authors and Affiliations



F.A. initiated the idea, and R.M and C.P. designed the project. C.P. prepared NGRIP and EGRIP 10Be and 36Cl samples, performed the analysis, and wrote the manuscript. F.M. contributed to the interpretation of the data. M.C., P.G., C.V., and H.-A.S. contributed with the measurement and analysis of 10Be and 36Cl samples. J.B. and F.W. contributed with EDML data. T.E. helped with the collection of the EGRIP samples. N.B. and L.W. contributed to the interpretation of the radiocarbon data. All authors contributed to the discussion and editing of the paper.

Corresponding author

Correspondence to Chiara I. Paleari.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review information

Nature Communications thanks Brian Thomas and the other anonymous reviewers for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Source data

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Paleari, C.I., Mekhaldi, F., Adolphi, F. et al. Cosmogenic radionuclides reveal an extreme solar particle storm near a solar minimum 9125 years BP. Nat Commun 13, 214 (2022).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:

Further reading


By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.


Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing