Skip to main content

Thank you for visiting nature.com. 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.

Drivers of the evolution and amplitude of African Humid Periods

Abstract

During orbital precession minima, the Sahara was humid and more vegetated, providing potential corridors for Hominins migration. Uncertainties remain over the climatic processes controlling the initiation, demise and amplitude of these African Humid Periods. Here we study these processes using a series of transient simulations of the penultimate deglaciation and Last Interglacial period, and compare the results with a transient simulation of the last deglaciation and Holocene. We find that the strengthening of the Atlantic Meridional Overturning Circulation at the end of deglacial millennial-scale events exerts a dominant control on the abrupt initiation of African Humid Periods as the Atlantic Meridional Overturning Circulation modulates the position of the Intertropical Convergence Zone. In addition, residual Northern Hemispheric ice-sheets can delay the peak of the African Humid Period. Through its impact on Northern Hemispheric ice-sheets disintegration and thus Atlantic Meridional Overturning Circulation, the larger rate of insolation increase during the penultimate compared to the last deglaciation can explain the earlier and more abrupt onset of the African Humid Period during the Last Interglacial period. Finally, we show that the mean climate state modulates precipitation variability, with higher variability under wetter background conditions.

Introduction

The climate of tropical north Africa is under the influence of the West African monsoon (WAM), which is characterised by a low-level southwesterly flow bringing moist air from the equatorial Atlantic towards the Saharan heat low during boreal summer1. The WAM is associated with the position of the Intertropical Convergence Zone (ITCZ), which lies at the convergence of the southwesterly monsoon flow and the dry northeasterly Harmattan winds. The ITCZ, here identified as the latitude of maximum precipitation, is located at the energy flux equator2, and its position is thus linked to the atmospheric energy transport and the meridional temperature gradient. The African Easterly Jet (AEJ) is maintained by meridional surface temperature and soil moisture gradients over tropical north Africa3,4, but also arises from the meridional circulations controlled by the ITCZ to the south and Saharan heat low to the north5. Both the ITCZ and the AEJ modulate present-day precipitation over the Sahel (14N–18N), with a weak and northward displaced AEJ leading to wet conditions1,6. However, changes in background conditions will impact the positions of the ITCZ and AEJ and thus precipitation over tropical north Africa.

As a result of the low precession and associated high boreal summer insolation prevailing during the early Holocene, the ITCZ was located further north during summer, thus leading to wetter conditions over the Sahel and Sahara. During this African Humid Period (AHP, ~11–5.5 thousand years before present, thereafter ka) the Sahara had increased vegetation cover and biodiversity, including tropical plant species7, and an extensive network of drainage channels and lakes8.

The AHP was not restricted to the Holocene but occurred during previous periods of high boreal summer insolation, in phase with precession minima9,10,11,12,13. During the Last Interglacial period (LIG, ~129–116 ka), the warmest interglacial period of the last 800 ka14, summer insolation at high northern latitudes was more than 70 W/m2 higher than during the pre-industrial (PI). As a result, North Atlantic marine records suggest that summer sea surface temperatures (SSTs) were 1.1 to 1.9 C higher than PI15,16. The greater summer insolation in the Northern Hemisphere (NH) at the LIG most likely shifted the ITCZ northward, thus leading to wetter conditions over tropical north Africa17. Paleo-proxy records from tropical north Africa indeed suggest wetter conditions and a likely northward expansion of trees between ~127 and 122 ka13,18,19,20. Deposition of organic-rich layers in the Mediterranean Sea (sapropels), also suggests increased monsoon runoff from tropical north Africa during the LIG9,21,22.

Time slice numerical simulations of the mid-Holocene (6 ka) and LIG (127 ka) consistently highlight a larger areal extent and stronger WAM during these time periods compared to PI17, although these simulations could underestimate both the amplitude and extent of the AHP because they did not account for vegetation-climate feedbacks23,24,25. While the time evolution of precipitation over tropical north Africa during the last glacial-interglacial cycle was previously simulated13,26, millennial-scale variability was not included and the processes leading to the onset and demise of the AHPs during the last two interglacials were not studied in detail. In addition, sapropel records covering the last 150 ka have shown that there is no constant relationship between insolation maxima and sapropel mid-points, suggesting that the timing of sapropel depositions, and thus AHPs, could also be linked to ice-volume/meltwater changes occurring during the preceding deglaciation22.

Both the penultimate (~140–129 ka) and last (~18–10 ka) deglaciations featured millennial-scale climatic events, during which the Atlantic Meridional Overturning Circulation (AMOC) weakened: Heinrich stadial 11 (HS11, main phase at ~133.3–128.5 ka), Heinrich stadial 1 (~18–14.7 ka) and the Younger Dryas (~12.8–11.7 ka)27,28,29. Through its modulation of meridional ocean heat transport, the strength of the AMOC can impact the location of the ITCZ and thus precipitation patterns over tropical north Africa30,31,32. The impact of deglacial changes in insolation and follow-on processes in the climate system on the AHP initiation thus needs to be better constrained.

Finally, paleo-proxy records suggest that the AHP termination during the mid-Holocene was locally abrupt in contrast to the slow insolation decrease24,33. As such, it has been hypothesised that the abrupt AHP demise could have arisen from vegetation or dust feedbacks. The broad time-transgressive end of the AHP was recently simulated in a transient experiment of the Holocene due to the different regional controls on precipitation34. In contrast, the end of the AHP during the LIG has received little attention. Comparing the AHP evolution across the two interglacials can shed light onto the processes controlling its amplitude and timing.

Here, we study the evolution of precipitation and vegetation cover over tropical north Africa across the penultimate deglaciation and the LIG, and analyse the drivers of precipitation changes as simulated by a suite of transient simulations performed with an Earth system model. The simulated precipitation evolution across the period 140 to 120 ka is further compared to a transient simulation covering the last deglaciation and Holocene (18–3 ka) performed with the same Earth system model, as well as to selected paleo-records.

Results

Climatic changes across the penultimate deglaciation and the LIG

The transient simulation of the penultimate deglaciation (Full, Methods) is performed with the Earth system model LOVECLIM35, and is forced by changes in orbital parameters36, greenhouse gases37, ice-sheet topography and associated albedo, as well as meltwater input in the North Atlantic following the PMIP4 protocol38 (Methods). As boreal summer insolation and greenhouse gases increase across the deglaciation (Fig. 1a, b), simulated air temperature increases over Antarctica by 12.4 C between 136.8 and 128 ka, in agreement with the EPICA Dome C ice core39 (Fig. 1d). Across the deglaciation, SSTs off the Iberian margin increase by up to 7.2 C (Fig. 1e), in agreement with the SST estimates from marine sediment core MD01-244440.

Fig. 1: Overview of the penultimate deglaciation and LIG.
figure 1

Main forcing and results of the transient Full experiment (black) compared to key paleo-records (green). Time series of a 65N June insolation36; b atmospheric CO2 (blue) and CH4 (grey) as measured in the EDC ice core37, 44, 70 on the AICC2012 chronology73 used as forcing for the transient experiments. Time series of c North Atlantic meltwater forcing (grey), and simulated AMOC (black); d Annual mean Antarctic (75S–90S) air temperature anomalies compared to the temperature estimate from the EDC ice core39 on the AICC2012 chronology; e Annual mean Iberian margin (15W–8W, 37N–43N) SST anomalies compared to UK'37 derived SST from marine sediment core MD01-244440. f Annual mean precipitation on the Iberian Peninsula compared to the temperate tree pollen fraction (%) from joint marine-terrestrial analyses of the MD01-2444 deep-sea core40; g Annual mean precipitation over northwest Africa (20W–0W, 15N–30N) in Full (black), VegLIG (magenta) and PI (horizontal thin black), compared to ln(Al/Si) record in GeoB7925-1 (green) indicating runoff from northwest Africa20; h Annual mean precipitation over northeast Africa (15E–32E, 15N–30N) in Full (black), VegLIG (magenta) and PI (horizontal thin black), compared to LC21 residuals (green) as a proxy for runoff from northeast Africa22. Blue shading indicates the main part of HS11 and purple shading corresponds to the AHP.

These deglacial changes are interrupted by HS11, during which a weakened AMOC29 induces a ~1 SST decrease in the North Atlantic compared to the penultimate glacial maximum (PGM, here taken at 140 ka). At the end of HS11, the AMOC resumption leads to an abrupt warming in the North Atlantic region as well as an increase in precipitation over southern Europe in agreement with paleo-records (Fig. 1c, e, f)40,41,42,43. The simulated end of HS11 is coeval with the increase in atmospheric CH444 and the increase in precipitation over southern Europe40 (Fig. 1b, f).

At the PGM, the simulated precipitation is low across tropical north Africa (≤20 cm.yr−1, Figs. 1g, h and 2a, b). As a result, the desert dominates tropical north Africa between ~16N and 32N and reaches 8N in the east (Fig. 2c, d). An abrupt increase in precipitation is observed at the end of HS11, with a maximum reached at ~128.4 ka (Figs. 1g, h and 2a, b).

Fig. 2: Precipitation and vegetation cover evolution across tropical north Africa.
figure 2

HovmÖller diagrams of annual mean a, b precipitation (cm.yr−1) and c, d vegetation cover (%) averaged over a, c northwestern (20W–0) and b, d northeastern (15E–30E) Africa as a function of latitude and across the penultimate deglaciation and LIG (140 to 120 ka). The 25 and 5% tree lines are shown with a black solid line in c, d). Note the different y-axis for the western and eastern parts, reflecting the different latitudinal land boundary conditions.

The simulated precipitation evolution is in good agreement with an Al/Si record (Fig. 1h, green) obtained from marine sediment core GeoB7925-1 from the western African margin, and which provides an estimate of runoff from the western part of the Sahara20. The initially published age model of this core20 was revised here using the radiometrically-dated time scale of speleothems from Corchia Cave40,45, in order to match the latest chronological improvements proposed for Termination II and the LIG38. This record suggests very dry conditions during HS11, followed by an increase in precipitation and peak wet conditions at ~127 ka lasting until ~124 ka. The Al/Si record then suggests a gradual return to dry conditions over the LIG. The simulated abrupt shift to wet conditions at the end of HS11 in the eastern Sahara closely follows the timing of African monsoon runoff as derived from a planktic δ18O residual record from the Mediterranean Sea core LC2122 (Fig. 1h, green).

Both the extent and intensity of the WAM are stronger during the LIG between 128.6 and 122 ka than during PI, with a ~2.5 mm.d−1 precipitation increase over the Sahara, extending across the Arabian peninsula (Fig. 3a, c). The simulated LIG WAM lasts from June to September over the Sahel, and from mid-June to September over the Sahara, but the coastal Mediterranean region in North Africa also receives increased precipitation in autumn from a southwesterly flow, and weaker anticyclonic circulation over the Azores (Supplementary Fig. 1). As a result, annual mean precipitation is higher over tropical north Africa and the Arabian peninsula by ~35 cm.yr−1 at the LIG, in line with proxy records46 (Supplementary Fig. 2).

Fig. 3: Precipitation, albedo and vegetation cover during the LIG, mid-Holocene and PI.
figure 3

ac Boreal summer precipitation (mm.d−1, shading) and 800 mb winds (m/s, vector), df Annual mean surface albedo and gi vegetation cover (%, grass plus tree fractions) during (left) the LIG (128 ka), (middle) the mid-Holocene (8.6 ka) and (right) PI. The 5% tree fraction contour line (black) is also included over northern Africa and the Middle East in the albedo and vegetation cover plots.

The increase in precipitation at the end of the penultimate deglaciation induces an expansion of vegetation across tropical north Africa and into the Sahara (Figs. 2c, d and 3a, g). This simulation thus suggests a ‘green Sahara’, with the total fraction of grass plus trees generally above 50% between ~128.6 and 124 ka. These vegetation changes impact surface albedo, which is ~0.1 to 0.15 lower between 15N and 30N at 128 ka than during PI (Fig. 3d–f). The vegetation-albedo feedback contributes to the high LIG precipitation: if vegetation distribution, and thus also albedo, are kept at their PI level, precipitation over the Sahara is 40% lower (Supplementary Table 1). Changes in albedo alter the radiative balance, and therefore the upward motion of air above the Sahara. The lower LIG albedo thus reduces subsidence47,48.

Due to the summer monsoon precipitation, and coastal precipitation in autumn (Supplementary Fig. 1), the simulated vegetation cover over the western part of tropical Africa is ~70%, with the 5% tree fraction reaching 18N between 128.6 and 125.6 ka (Figs. 2c and 3g). Due to a slightly expanded northward incursion of the monsoonal flow, and autumn precipitation on the Mediterranean coast, a vegetated corridor is simulated at 5W–10E between 128.6 and 125.6 ka (Fig. 3g). On the eastern part, while desert still dominates north of 22N throughout the LIG, between 128.6 and 124 ka precipitation is high and vegetation cover is close to 100% south of 20N, with the 5% tree fraction also reaching 22N (Figs. 2d and 3g). An abrupt 19% drop in precipitation and vegetation cover occurs over western tropical north Africa at 125.6 ka, while there is no change in the northeast (Figs. 1g, h and 2). This abrupt change is not due to an AMOC weakening and is not simulated if the vegetation cover is fixed at 128 ka level (Fig. 1g, magenta), highlighting the role of the insolation decrease leading to a vegetation-albedo feedback49. The precipitation decrease reduces the vegetation cover, which leads to an albedo increase (Supplementary Fig. 3). This alters the radiative balance, thus decreasing surface air temperature over that region, and impacting the atmospheric circulation (Supplementary Fig. 4). Precipitation and vegetation cover then further gradually decrease in the northwest, until dropping below PI levels during a centennial-scale AMOC weakening at 122 ka (Figs. 1g and 2). In the eastern part of tropical north Africa precipitation stays at its maximum level until 124 ka, after which it decreases sharply, and drops below PI levels at 122 ka (Fig. 1h). Similar to the abrupt drying at 125.6 ka in the northwest, the 124 ka drying event in the northeast arises from vegetation-albedo feedback due to the insolation decrease, as it is not simulated when vegetation is fixed at 128 ka (Fig. 1h, magenta line and Supplementary Figs. 45).

Drivers of precipitation changes over tropical north Africa at the end of the deglaciation

The low precession, and associated high boreal summer insolation, lead to a high tropical Atlantic meridional SST gradient (~0.7 C, 5N–30N compared to 30S–5N50), and a northward shift of the ITCZ over the Atlantic during the early LIG (Fig. 3a and Supplementary Table 1). The low-level westerly flow associated with the WAM reaches 23N at the LIG, and the Sahara heat low is strong (Supplementary Fig. 6). The AEJ is also displaced northward, reaching ~25N (Supplementary Fig. 7).

To constrain the processes that control the initiation, demise and amplitude of the AHP at the LIG, a set of transient sensitivity simulations is performed with forcings each in turn fixed at 140 ka levels (Methods). Figures 4a and 5 clearly highlight that high boreal summer insolation, brought about by low precession, primarily controls the emergence and amplitude of precipitation over tropical north Africa. When orbital parameters are fixed at 140 ka (FixOrb), precipitation over the Sahel and Sahara is reduced by ~40 and ~70%, respectively compared to the Full experiment (Fig. 4a). Figure 5a also shows that for positive precession values, which correspond to June insolation at 65N below ~500 W m−2, precipitation over tropical north Africa is suppressed. Changes in insolation impact the tropical Atlantic SST gradient, which modulates the position of the ITCZ50. The tropical SST gradient is 60% larger in Full compared to FixOrb (Fig. 4i and Supplementary Table 1), which strengthens the summer ITCZ and shifts its location 4 northward, thus enhancing precipitation over tropical north Africa and in particular over the Sahara. In addition, the Sahara heat low is much weaker in FixOrb than in Full, and the AEJ is displaced 2 southward, thus leading to a weaker WAM in FixOrb4,6 (Fig. 4e and Supplementary Fig. 7).

Fig. 4: Processes driving the AHP.
figure 4

(top) Boreal summer ad precipitation anomalies (mm.d−1); (middle) eh 800 mb geopotential height and wind anomalies (hPa and m/s); (bottom) il SST anomalies (C) for simulations a, e, i FixOrb, b, f, j Full at 129 ka with a weak AMOC compared to noFWF at 129 ka, c, g, k FixIS and d, h, l FixCO2 compared to Full at 128 ka.

Fig. 5: Drivers of precipitation changes over tropical north Africa.
figure 5

Annual mean precipitation over western tropical north Africa (20W–0, 15N–30N) as a function of a precession with symbols shading representing the strength of the AMOC (Sv) and b the tropical Atlantic meridional SST gradient (C, 70W–20W, 5N–30N compared to 40W–5E, 30S–5N50) with symbols shading representing precession, for simulations Full, FixIS, FixCO2 and NoFWF.

At high precession (≥0), i.e. low NH boreal summer insolation (Fig. 5), precipitation over tropical north Africa is low and displays reduced variability: the possible full range of precipitation level is ≤30 cm.yr−1. As precession decreases (and thus NH insolation increases), the range of possible precipitation over tropical north Africa increases, with a maximum range of over 50 cm.yr−1 at the peak of insolation (Fig. 5a). Most of this variability is due to changes in AMOC strength: if the AMOC is weak, precipitation is suppressed over the Sahara and very low over the Sahel irrespective of NH summer insolation level (Figs. 4b and 5). At high insolation levels, the AMOC modulates the precipitation over tropical north Africa, with the potential to reduce it by ~75% over the Sahara and ~45% over the Sahel, an effect that is comparable to changes in insolation (Fig. 4a, b). The reduced meridional oceanic heat transport to the North Atlantic when the AMOC is weak leads to a cooling of the North Atlantic, while the tropical South Atlantic warms (Fig. 4j). This induces a reversed tropical Atlantic SST gradient and a southward shift of the ITCZ32,51 (Supplementary Table 1). The southward shift of the ITCZ and weaker WAM lead to dry conditions over tropical north Africa, with a stronger impact over western than eastern Sahara. In addition, a weak AMOC also leads to a more southward position of the AEJ (Supplementary Fig. 7), which would further reduce precipitation over northern Africa. As millennial-scale AMOC weakenings are a common feature of deglaciations, this implies that the AMOC recovery at the end of these events controls the initiation of AHPs during the following interglacials. However, AMOC impacts are not restricted to deglaciations, and centennial-scale periods of AMOC weakening have been evidenced during the LIG40,52. The full transient simulation presented here indeed displays some episodes of AMOC weakening, which lead to abrupt drying of tropical north Africa, with an expansion of desert towards the end of the AHP (e.g. at 121. ka) (Figs. 1g, h and 2). AMOC variations could thus also trigger the demise of the AHP during the LIG.

Figure 5a shows that changes in precession and AMOC do not explain everything, as even for low precession and a strong AMOC precipitation can be relatively low over tropical north Africa (e.g. 20–30 cm.yr−1 for precession ≤−0.03 and AMOC ≥22 Sv). While secondary to insolation and AMOC, the presence of glacial ice-sheets over NH land masses impacts tropical hydrology as they lead to a more southward position of the ITCZ (~3 southward in FixIS) compared to the Full simulation (Fig. 4c and Supplementary Table 1). Through the albedo feedback, the extended NH ice sheets lower NH temperature, maintain cold conditions in the North Atlantic and a weak tropical SST gradient (Fig. 4k and Supplementary Table 1). The large Laurentide ice-sheet also creates a positive geopotential height anomaly centred on the North Atlantic, which extends to the northwest of Africa (Fig. 4g). This induces ~1 C colder conditions over northwest Africa maintaining a weaker WAM compared to Full. In addition, this weaker meridional temperature gradient over northern Africa leads to a ~3 southward shift of the AEJ compared to Full, which would also contribute to lower precipitation over tropical north Africa (Supplementary Fig. 7). As a result, the transient simulation in which NH ice sheets are kept at their 140 ka size (FixIS) displays 55 and 45% lower precipitation over northwestern and northeastern Africa, respectively during the LIG compared to the Full simulation (Fig. 4c and Supplementary Table 1).

While the deglacial increase in atmospheric CO2 plays a dominant role in the deglacial temperature increase (Fig. 4l), it impacts the WAM only marginally (5 to 12%) as it does not significantly affect the tropical Atlantic SST gradient nor the meridional air temperature gradient over tropical north Africa (Fig. 4d and Supplementary Table 1).

Comparison with the last deglaciation

A comparison of the precipitation evolution over tropical north Africa across the penultimate deglaciation with results from a transient simulation of the last deglaciation previously performed with LOVECLIM53 (Methods) supports our conclusions (Fig. 6). Due to the stronger insolation forcing, and the AMOC reaching a maximum strength concurrently with the end of the demise of the NH glacial ice-sheets, the simulated precipitation increase over tropical north Africa is larger and more abrupt during the penultimate than the last deglaciation, particularly in the west due to the NH ice-sheet impact. An increase in precipitation and vegetation advance is simulated during the Bølling–Allerød (~14.7–13 ka), as this corresponds to a period of relatively high NH summer insolation (~510 W.m−2) and strong AMOC (Fig. 6). However, the precipitation increase over the Sahara is small and does not reach PI levels because of the large NH ice sheets still present at the time. Despite the boreal summer insolation being close to its maximum level during the AMOC recovery at the end of the Younger Dryas (here at ~11.7 ka), ~30% of the NH glacial ice-sheets are still present54,55 (Fig. 6b), thus attenuating the precipitation increase over tropical north Africa. The disintegration of NH ice sheets during the early Holocene thus leads to a further increase in precipitation over tropical north Africa until 8.7 ka.

Fig. 6: Comparison between the penultimate and last deglaciation.
figure 6

Time evolution across (left) the penultimate and (right) the last deglaciations of a 65N insolation in June; b NH ice-sheet extent used as forcing; c AMOC ; d simulated annual mean precipitation and e vegetation fraction over the eastern Sahara (15N–30N, 15E–32E); f African monsoon runoff estimate from Mediterranean Sea core LC21 residuals22; g simulated annual mean precipitation and h grass fraction over the western part of the Sahara (15N–30N, 20W–0); i ln Al/Si from marine sediment core GeoB792520 (cyan) and from core GeoB-7920 (yellow)74,75. Blue shading represents North Atlantic cold events such as the main phase of Heinrich stadial 11 (HS11), Heinrich stadial 1 (HS1) and the Younger Dryas (YD). Pink shading represents the timing of the simulated AHP, with a particularly wet period over the western Sahara at the LIG compared to the Holocene shaded in purple. BA stands for the Bølling–Allerød. Horizontal black lines represent simulated PI values.

The stronger summer insolation forcing at high northern latitudes leads to much wetter conditions over the western part of the Sahara during the LIG than during the Holocene (Figs. 3a, b and 6). While the desert still dominates the western Sahara during the Holocene, it features more than 50% of grass and trees during the LIG (Figs. 3g, h and 6). By contrast in northeast Africa, north of 25N, precipitation is similar during the LIG and Holocene, and the vegetation cover is inferior to 50% during both time periods. The demise of the AHP occurs abruptly at ~6 ka over northeast Africa, when crossing the same insolation threshold of 0 precession (~500 W.m−2) as during the LIG at ~122 ka. In the northwest, precipitation gradually decreases over the Holocene to reach PI levels at ~5 ka.

Discussion

The experiments suggest that during the LIG the ITCZ, defined here as the latitude of maximum precipitation, was displaced northward over tropical north Africa and the WAM was stronger thus leading to higher precipitation rates over a larger area than during both the Holocene and PI (Figs. 3 and 6). While LOVECLIM does not resolve African Easterly Waves and mesoscale convective systems over tropical north Africa, these are modulated by the AEJ. A northward displacement of the AEJ is also simulated at the LIG, which would therefore contribute to enhanced precipitation over tropical north Africa1. While the stronger WAM leads to wetter conditions over tropical north Africa in summer, the Mediterranean coast of North Africa (~30–35N) also benefits from a 50% increase in late autumn rainfall (Supplementary Fig. 1), in agreement with CCSM3 simulations of the LIG56 and paleo-data of the Holocene AHP24,57. The simulated precipitation anomalies at the LIG compared to PI are in agreement with paleo-proxy records46 (Supplementary Fig. 2), and are in line with results from PMIP4 equilibrium simulations of the LIG17, even if larger precipitation anomalies are simulated here north of 20N, probably due to the vegetation-albedo feedback.

As a result of the wetter conditions during the LIG, vegetation expands over most of northern Africa, with more than ~50% grass cover and ~10% of trees over the Sahara at 128 ka, particularly along a central corridor at 0–10E (Fig. 3). The simulated wetter conditions and higher vegetation cover over tropical north Africa at the LIG compared to the Holocene are consistent with paleo-environmental reconstructions10, as well as with a more intensely developed sapropel S5 compared to S122,58. Although the simulated ~10% tree cover over the Sahara at the peak of the LIG is an underestimation compared with a previous inference of woodland10, it is higher than in a previous study, which simulated desert between 18N and 30N56.

Under present-day conditions, the 25C isotherm over tropical north Africa is situated at 27N instead of 24N in LOVECLIM, and precipitation at 30N is overestimated35. These biases could amplify the vegetation response, thus potentially leading to an overestimation of the precipitation and vegetation cover over tropical north Africa at the LIG. Previous studies focusing on LIG and mid-Holocene climate suggested that LOVECLIM’s performances were on par with results from coupled general circulation models, but indeed found a strong positive precipitation-vegetation feedback over tropical north Africa59,60. However, recent mid-Holocene sensitivity experiments studying the impact of land surface and albedo changes on tropical north African precipitation support our simulated albedo and precipitation changes as well as the northward shift of the AEJ25,61. In addition, simulated precipitation and vegetation cover in LOVECLIM during the LIG and mid-Holocene are in agreement with proxy records24,46.

Our transient experiments support an abrupt initiation of the AHP during the penultimate deglaciation, while the AHP initiation was more gradual during the last deglaciation, particularly in the Western Sahara. While their timings broadly follow NH insolation, their initiation is determined by the AMOC strengthening at the end of deglacial millennial-scale events. To second order, the disintegration of NH ice sheets also impacts the initiation of the AHP, through warming of the North Atlantic and changes in atmospheric circulation62.

Based on the AMOC and NH ice-sheet scenarios presented here, the precipitation maximum over tropical north Africa is simulated at 128.4 ka, thus 1.4 kyr before the insolation peak at the LIG, while during the Holocene the maximum is reached at 9.8 ka in the northeast but only at 8.7 ka in the northwest, thus 1.2 to 2.3 kyr after the insolation peak of the Holocene. With respect to insolation, the initiation of the AHP thus occurs earlier in the LIG than during the Holocene, because of the timing of the end of HS11 and the loss of NH ice-sheets. The presence of NH ice sheets during the early Holocene54,55 indeed delays the AHP peak. The higher rate of NH summer insolation increase during the penultimate deglaciation might have induced a faster rate of NH ice-sheets disintegration63,64,65 thus potentially leading to low NH ice-sheet volumes and strong AMOC states being reached earlier in the LIG than Holocene.

This set of simulations demonstrates that abrupt precipitation transitions in tropical north Africa as a response to slow insolation changes are possible. These abrupt transitions can be triggered by AMOC changes, vegetation-albedo feedbacks, and changes in NH ice-sheets extent. However, these mostly occur for negative precession values, i.e. high northern latitude summer insolation values above ~500 W.m−2. The background state thus conditions the capacity to generate abrupt changes, with higher insolation values associated with a higher potential of change. The background state also leads to zonal and meridional timing differences in abrupt shifts to drier conditions across tropical north Africa.

Some abrupt changes in precipitation and vegetation are simulated during both the LIG and Holocene, even though the variability is larger during the LIG than the Holocene. The larger LIG variability is due to the wetter background conditions, particularly in northwest Africa, as well as to the larger AMOC variability. It has been shown that the LIG was punctuated by centennial-scale AMOC weakening events40, which could have also led to an abrupt weakening of the WAM and abrupt return to arid conditions over the Sahara.

Whether rainfall over tropical north Africa will increase or decrease over the coming century is highly debated. The experiments performed here suggest a slightly stronger WAM with increasing atmospheric CO2. However, our simulations highlight the dominant role of the AMOC and orbital parameters in setting the positions of the ITCZ and AEJ, and impacting precipitation over tropical north Africa. As precession is positive, and as the AMOC is projected to slow down by ~40% over the coming century66 without taking into account enhanced Greenland runoff67, an increase in rainfall over tropical north Africa appears unlikely.

Methods

A transient simulation covering the penultimate deglaciation and the last interglacial period (140 to 120 ka) is performed with the Earth system model LOVECLIM35. LOVECLIM comprises an ocean general circulation model (3 × 3, 20 vertical levels), coupled to a dynamic-thermodynamic sea-ice model, a quasi-geostrophic T21 atmospheric model, a vegetation model and a global carbon cycle model. The vegetation model includes two plant functional types: trees and grasses. The vegetation fraction is the sum of the tree and grass fractions. The vegetation fraction is a function of growing degree-days above 0 C and annual mean precipitation. Vegetation changes impact the surface albedo, but not evapotranspiration.

The transient simulation (Full) follows the PMIP4 protocol described in ref. 38. The model is first integrated to equilibrium under 140 ka boundary conditions, with appropriate orbital parameters, greenhouse gas content (CO2 of 191 ppm, CH4 of 385 ppb and N2O of 201 ppb), and continental ice-sheet geometry and albedo38,55,68,69. LOVECLIM is then run from 140 to 120 ka with varying orbital parameters, greenhouse gas content37,70 and continental ice-sheet geometry and albedo38,55,68,69. The Bering Strait is gradually opened between 132 and 131.8 ka. To simulate the impact of the deglacial ice-sheet disintegration and associated sea-level rise, meltwater is added into the North Atlantic (50N–60N, 60W–10W). This meltwater input is a simplified version of scenario fIRD, which is based on the time evolution of IRD input into the North Atlantic38. As shown in Fig. 1c, 0.12 Sv is added between 135.8 and 134 ka (sea-level equivalent (s.l.e.) of 19.2 m), and 0.2 Sv is added between 133.2 and 129 ka (s.l.e. of 74.8 m). The main difference with scenario fIRD is that the meltwater flux here stops at 129 ka instead of 129.2 ka in fIRD.

To disentangle the impacts of deglacial changes in insolation, northern hemispheric ice-sheet, greenhouse gases and meltwater input, additional transient deglacial simulations are performed. Since there are little changes in most of the forcings, and little climatic variability between 140 and 134 ka (Fig. 1), the sensitivity experiments only start at 134 ka from Full, and each forcing is in turn fixed at its 140 ka level: orbital parameters are fixed at 140 ka in FixOrb, NH ice-sheets are fixed at 140 ka in FixIS, atmospheric CO2 is fixed at 190 ppm in FixCO2, and no meltwater is added in NoFWF. Additional experiments were also performed to isolate the impact of vegetation changes. A LIG experiment was run with vegetation fixed at PI level (VegPI), and another one (VegLIG) was run from 128 to 120 ka with vegetation fixed at 128 ka.

The seasonal data has been adjusted following Bartlein et al., 201971 and using 20 years of daily outputs at 128 ka.

The transient simulation of the last deglaciation is described in detail in Menviel et al. (2011)53, and similar to the transient simulation of the penultimate deglaciation was forced by the time evolution of orbital parameters, northern hemispheric ice-sheet topography and albedo, greenhouse gases and meltwater input into the North Atlantic. This meltwater input was designed to produce a climatic evolution in relative agreement with Greenland ice core GISP2 surface air temperature evolution72. In the North Atlantic, 0.2 Sv was added between 18 and 17.4 ka, and 0.25 Sv between 17.4 and 15.6 ka to represent Heinrich stadial 1. For the Older Dryas period, 0.2 to 0.25 Sv was added between 14.4 and 13 ka. Finally, 0.25 Sv is applied in the Arctic Ocean (175W–95W, 67N–83N) between 13 and 12.2 ka to mimic the Younger Dryas.

Data availability

The modelling data is available from Research Data Australia https://doi.org/10.26190/kewt-qg48.

Code availability

The transient experiments were performed with the Earth system model LOVECLIM. LOVECLIM can be freely downloaded from the website of the Université Catholique de Louvain: https://www.elic.ucl.ac.be/modx/index.php?id=81.

References

  1. 1.

    Nicholson, S. The west African Sahel: a review of recent studies on the rainfall regime and its interannual variability. ISRN Meteorology 2013, 32 https://doi.org/10.1155/2013/453521 (2013). Article ID 453521.

  2. 2.

    Schneider, T., Bischoff, T. & Haug, G. Migrations and dynamics of the intertropical convergence zone. Nature 513, 45–53 (2014).

    CAS  Google Scholar 

  3. 3.

    Cook, K. H. Generation of the African easterly jet and its role in determining West African precipitation. J. Clim. 12, 1165–1184 (1999).

    Google Scholar 

  4. 4.

    Nicholson, S. E. & Grist, J. P. The seasonal evolution of the atmospheric circulation over West Africa and equatorial Africa. J. Clim. 16, 1013–1030 (2003).

    Google Scholar 

  5. 5.

    Thorncroft, C. D. & Blackburn, M. Maintenance of the African easterly jet. Q. J. R. Meteorol. Soc. 125, 763–786 (1999).

    Google Scholar 

  6. 6.

    Nicholson, S. E. A revised picture of the structure of the monsoon and land ITCZ over West Africa. Clim. Dyn. 32, 1155–1171 (2009).

    Google Scholar 

  7. 7.

    Watrin, J., Lézine, A.-M. & Hély, C. Plant migration and plant communities at the time of the green sahara. Comptes Rendus Geosci. 341, 656–670 (2009).

    Google Scholar 

  8. 8.

    Drake, N. A., Blench, R. M., Armitage, S. J., Bristow, C. S. & White, K. H. Ancient watercourses and biogeography of the Sahara explain the peopling of the desert. Proc. Natl Acad.Sci. USA 108, 458–462 (2011).

    CAS  Google Scholar 

  9. 9.

    Ziegler, M., Tuenter, E. & Lourens, L. The precession phase of the boreal summer monsoon as viewed from the eastern Mediterranean (ODP Site 968). Quat. Sci. Rev. 29, 1481–1490 (2010).

    Google Scholar 

  10. 10.

    Larrasoaña, J. C., Roberts, A. P. & Rohling, E. J. Dynamics of green Sahara periods and their role in hominin evolution. PLoS ONE 8, e76514 (2013).

    Google Scholar 

  11. 11.

    Brierley, C., Manning, K. & Maslin, M. Pastoralism may have delayed the end of the green Sahara. Nat. Commun. 9, 4018 https://doi.org/10.1038/s41467-018-06321-y (2018).

  12. 12.

    Pausata, F. S. et al. The greening of the Sahara: past changes and future implications. One Earth 2, 235–250 (2020).

    Google Scholar 

  13. 13.

    Blanchet, C. et al. Drivers of river reactivation in North Africa during the last glacial cycle. Nat. Geosci. 14, 97–103 (2021).

    CAS  Google Scholar 

  14. 14.

    Past Interglacials Working Group of PAGES. Interglacials of the last 800,000 years. Rev. Geophys. 54, 162–219 (2016).

  15. 15.

    Capron, E., Govin, A., Feng, R., Otto-Bliesner, B. & Wolff, E. Critical evaluation of climate syntheses to benchmark CMIP6/PMIP4 127 ka Last Interglacial simulations in the high-latitude regions. Quat. Sci. Rev. 168, 137–150 (2017).

    Google Scholar 

  16. 16.

    Hoffman, J., Clark, P., Parnell, A. & He, F. Regional and global sea-surface temperatures during the last interglaciation. Science 355, 276–279 (2017).

    CAS  Google Scholar 

  17. 17.

    Otto-Bliesner, B. L. et al. Large-scale features of last interglacial climate: results from evaluating the lig127k simulations for CMIP6-PMIP4. Clim. Past 17, 63–94 (2021).

    Google Scholar 

  18. 18.

    Castañeda, I. S. et al. Wet phases in the Sahara/Sahel region and human migration patterns in North Africa. Proc. Natl Acad. Sci. USA 106, 20159–20163 (2009).

    Google Scholar 

  19. 19.

    Dupont, L. Orbital scale vegetation change in Africa. Quat. Sci. Rev. 30, 3589–3602 (2011).

    Google Scholar 

  20. 20.

    Govin, A., Varma, V. & Prange, M. Astronomically forced variations in western African rainfall (21N-20S) during the last interglacial period. Geophys. Res. Lett. 41, 2117–2125 (2014).

    Google Scholar 

  21. 21.

    Rohling, E. et al. African monsoon variability during the previous interglacial maximum. Earth Planet. Sci. Lett. 202, 61–75 (2002).

    Google Scholar 

  22. 22.

    Grant, K. et al. The timing of Mediterranean sapropel deposition relative to insolation, sea-level and African monsoon changes. Quat. Sci. Rev. 140, 125–141 (2016).

    Google Scholar 

  23. 23.

    Braconnot, P., Joussaume, S., Marti, O. & de Noblet, N. Synergistic feedbacks from ocean and vegetation on the African monsoon response to mid-Holocene insolation. Geophys. Res. Lett. 26, 2481–2484 (1999).

    Google Scholar 

  24. 24.

    Tierney, J. E., Pausata, F. S. & deMenocal, P. B. Rainfall regimes of the Green Sahara. Sci. Adv. 3, e1601503 (2017).

    Google Scholar 

  25. 25.

    Chandan, D. & Peltier, W. African humid period precipitation sustained by robust vegetation, soil, and lake feedbacks. Geophys. Res. Lett. 47, e2020GL088728 (2020).

  26. 26.

    Singarayer, J. S. & Burrough, S. L. Interhemispheric dynamics of the African rainbelt during the late quaternary. Quat. Sci. Rev. 124, 48–67 (2015).

    Google Scholar 

  27. 27.

    Heinrich, H. Origin and consequences of cyclic ice rafting in the northeast Atlantic Ocean during the past 130,000 years. Quat. Res. 29, 142–152 (1988).

    Google Scholar 

  28. 28.

    McManus, J. F., Francois, R., Gherardi, J. M., Keigwin, L. D. & Brown-Leger, S. Collapse and rapid resumption of Atlantic meridional circulation linked to deglacial climate changes. Nature 428, 834–837 (2004).

    CAS  Google Scholar 

  29. 29.

    Böhm, E. et al. Strong and deep Atlantic meridional overturning circulation during the last glacial cycle. Nature 517, 73–76 (2015).

    Google Scholar 

  30. 30.

    Stouffer, R., Seidov, D. & Haupt, B. Climate response to external sources of freshwater: North Atlantic versus the Southern Ocean. J. Clim. 20, 436–448 (2007).

    Google Scholar 

  31. 31.

    Tjallingii, R. et al. Coherent high-and low-latitude control of the northwest African hydrological balance. Nat. Geosci. 1, 670 (2008).

    CAS  Google Scholar 

  32. 32.

    Kageyama, M. et al. Climatic impacts of fresh water hosing under last glacial maximum conditions: a multi-model study. Clim. Past 9, 935–953 (2013).

    Google Scholar 

  33. 33.

    Shanahan, T. M. et al. The time-transgressive termination of the African Humid Period. Nat. Geosci. 8, 140–144 (2015).

  34. 34.

    Dallmeyer, A., Claussen, M., Lorenz, S. J. & Shanahan, T. The end of the African humid period as seen by a transient comprehensive Earth system model simulation of the last 8000 years. Clim. Past 16, 117–140 (2020).

    Google Scholar 

  35. 35.

    Goosse, H. et al. Description of the Earth system model of intermediate complexity LOVECLIM version 1.2. Geosci. Model Dev. 3, 603–633 (2010).

    Google Scholar 

  36. 36.

    Berger, A. Long term variations of daily insolation and quaternary climate change. J. Atmos. Sci. 35, 2362–2367 (1978).

    Google Scholar 

  37. 37.

    Köhler, P., Nehrbass-Ahles, C., Schmitt, J., Stocker, T. & Fischer, H. A 156 kyr smoothed history of the atmospheric greenhouse gases CO2, CH4, and N2O and their radiative forcing. Earth Syst. Sci. Data 9, 363–387 (2017).

    Google Scholar 

  38. 38.

    Menviel, L. et al. The penultimate deglaciation: protocol for Paleoclimate Modelling Intercomparison Project (PMIP) phase 4 transient numerical simulations between 140 and 127 ka, version 1.0. Geosci. Model Dev. 12, 3649–3685 (2019).

    CAS  Google Scholar 

  39. 39.

    Jouzel, J. et al. Orbital and millennial Antarctic climate variability over the past 800,000 years. Science 317, 793–796 (2007).

    CAS  Google Scholar 

  40. 40.

    Tzedakis, P. et al. Enhanced climate instability in the North Atlantic and southern Europe during the Last Interglacial. Nat. Commun. 9, 4235 (2018).

    CAS  Google Scholar 

  41. 41.

    Chapman, M. & Shackleton, N. Millennial-scale fluctuations in North Atlantic heat flux during the last 150,000 years. Earth Planet. Sci. Lett. 159, 57–70 (1998).

    CAS  Google Scholar 

  42. 42.

    Martrat, B., Jimenez-Amat, P., Zahn, R. & Grimalt, J. Similarities and dissimilarities between the last two deglaciations and interglaciations in the North Atlantic region. Quat. Sci. Rev. 99, 122–134 (2014).

    Google Scholar 

  43. 43.

    Oppo, D., McManus, J. & Cullen, J. Evolution and demise of the Last Interglacial warmth in the subpolar North Atlantic. Quat. Sci. Rev. 25, 3268–3277 (2006).

    Google Scholar 

  44. 44.

    Loulergue, L. et al. Orbital and millennial-scale features of atmospheric CH4 over the past 800,000 years. Nature 453, 383–386 (2008).

    CAS  Google Scholar 

  45. 45.

    Drysdale, R. et al. Magnesium in subaqueous speleothems as a potential palaeotemperature proxy. Nat. Commun. 11, 5027 (2020).

    CAS  Google Scholar 

  46. 46.

    Scussolini, P. et al. Agreement between reconstructed and modeled boreal precipitation of the Last Interglacial. Sci. Adv. https://advances.sciencemag.org/content/5/11/eaax7047 (2019).

  47. 47.

    Charney, J. G. Dynamics of deserts and drought in the Sahel. Q. J. R. Meteorol. Soc. 101, 193–202 (1975).

    Google Scholar 

  48. 48.

    Claussen, M., Dallmeyer, A. & Bader, J. Theory and modeling of the African Humid Period and the Green Sahara. https://oxfordre.com/climatescience/view/10.1093/acrefore/9780190228620.001.0001/acrefore-9780190228620-e-532 (2017).

  49. 49.

    Knorr, W. & Schnitzler, K. Enhanced albedo feedback in North Africa from possible combined vegetation and soil formation processes. Clim. Dyn. 26, 55–63 (2006).

    Google Scholar 

  50. 50.

    Biasutti, M., Held, I. M., Sobel, A. H. & Giannini, A. SST forcings and Sahel rainfall variability in simulations of the twentieth and twenty-first centuries. J. Clim. 21, 3471–3486 (2008).

    Google Scholar 

  51. 51.

    Stouffer, R. et al. Investigating the causes of the response of the thermohaline circulation to past and future climate changes. J. Clim. 19, 1365–1387 (2006).

    Google Scholar 

  52. 52.

    Galaasen, E. V. et al. Rapid reductions in north Atlantic deep water during the peak of the last interglacial period. Science 343, 1129–1132 (2014).

    CAS  Google Scholar 

  53. 53.

    Menviel, L., Timmermann, A., Timm, O. & Mouchet, A. Deconstructing the last glacial termination: the role of millennial and orbital-scale forcings. Quat. Sci. Rev. 30, 1155–1172 (2011).

    Google Scholar 

  54. 54.

    Peltier, W., Argus, D. & Drummond, R. Space geodesy constrains ice-age terminal deglaciation: the global ICE-6G-C (VM5a) model. J. Geophys. Res. Solid Earth 120, 450–487 (2015).

    Google Scholar 

  55. 55.

    Tarasov, L., Dyke, A. S., Neal, R. M. & Peltier, W. R. A data-calibrated distribution of deglacial chronologies for the North American ice complex from glaciological modeling. Earth Planet. Sci. Lett. 315-316, 30–40 (2012).

    CAS  Google Scholar 

  56. 56.

    Kutzbach, J. E. et al. African climate response to orbital and glacial forcing in 140,000-y simulation with implications for early modern human environments. Proc. Natl Acad. Sci. 117, 2255–2264 (2020).

    CAS  Google Scholar 

  57. 57.

    Cheddadi, R. et al. Early Holocene greening of the Sahara requires Mediterranean winter rainfall. Proc. Natl Acad. Sci. https://www.pnas.org/content/118/23/e2024898118 (2021).

  58. 58.

    Konijnendijk, T., Ziegler, M. & Lourens, L. Chronological constraints on Pleistocene sapropel depositions from high-resolution geochemical records of ODP Sites 967 and 968. Newsl. Stratigr. 47, 263–282 (2014).

    Google Scholar 

  59. 59.

    Braconnot, P. et al. Results of PMIP2 coupled simulations of the mid-Holocene and last glacial maximum - Part 1: experiments and large-scale features. Clim. Past 3, 261–277 (2007).

    Google Scholar 

  60. 60.

    Nikolova, I., Yin, Q., Berger, A., Singh, U. K. & Karami, M. P. The last interglacial (Eemian) climate simulated by LOVECLIM and CCSM3. Clim. Past 9, 1789–1806 (2013).

    Google Scholar 

  61. 61.

    Gaetani, M., Messori, G., Zhang, Q., Flamant, C. & Pausata, F. S. R. Understanding the mechanisms behind the northward extension of the West African monsoon during the mid-Holocene. J. Clim. 30, 7621–7642 (2017).

    Google Scholar 

  62. 62.

    Timm, O., Köhler, P., Timmermann, A. & Menviel, L. Mechanisms for the onset of the African Humid Period and Sahara Greening 14.5-11 ka BP. J. Clim. 23, 2612–2633 (2010).

    Google Scholar 

  63. 63.

    Grant, K. et al. Rapid coupling between ice volume and polar temperature over the past 150,000 years. Nature 491, 744–747 (2012).

    CAS  Google Scholar 

  64. 64.

    Grant, K. et al. Sea-level variability over five glacial cycles. Nat. Commun. 5, 5076 (2014).

    CAS  Google Scholar 

  65. 65.

    Lambeck, K., Rouby, H., Purcell, A., Sun, Y. & Sambridge, M. Sea level and global ice volumes from the last glacial maximum to the Holocene. Proc. Natl Acad. Sci. USA 111, 15296–15303 (2014).

    CAS  Google Scholar 

  66. 66.

    Weijer, W., Cheng, W., Garuba, O. A., Hu, A. & Nadiga, B. T. CMIP6 models predict significant 21st century decline of the Atlantic meridional overturning circulation. Geophys. Res. Lett. 47, e2019GL086075 (2020). E2019GL086075.

    Google Scholar 

  67. 67.

    Goelzer, H. et al. The future sea-level contribution of the Greenland ice sheet: a multi-model ensemble study of ISMIP6. The Cryosphere 14, 3071–3096 (2020).

    Google Scholar 

  68. 68.

    Abe-Ouchi, A. et al. Insolation-driven 100,000-year glacial cycles and hysteresis of ice-sheet volume. Nature 500, 190–193 (2013).

    CAS  Google Scholar 

  69. 69.

    Briggs, R., Pollard, D. & Tarasov, L. A data-constrained large ensemble analysis of Antarctic evolution since the Eemian. Quat. Sci. Rev. 103, 91–115 (2014).

    Google Scholar 

  70. 70.

    Bereiter, B. et al. Revision of the EPICA Dome C CO2 record from 800 to 600 kyr before present. Geophys. Res. Lett. 42, 542–549 (2015).

    Google Scholar 

  71. 71.

    Bartlein, P. J. & Shafer, S. L. Paleo calendar-effect adjustments in time-slice and transient climate-model simulations (paleocaladjust v1.0): impact and strategies for data analysis. Geosci. Model Dev. 12, 3889–3913 (2019).

    Google Scholar 

  72. 72.

    Alley, R. Ice-core evidence of abrupt climate changes. Proc. Natl Acad. Sci. USA 97, 1331–1334 (2000).

    CAS  Google Scholar 

  73. 73.

    Bazin, L. et al. An optimized multi-proxy, multi-site Antarctic ice and gas orbital chronology (AICC2012): 120-800 ka. Clim. Past 9, 1715–1731 (2013).

    Google Scholar 

  74. 74.

    Collins, J. A. et al. Interhemispheric symmetry of the tropical African rainbelt over the past 23,000 years. Nat. Geosci. 4, 42–45 (2011).

    CAS  Google Scholar 

  75. 75.

    Tjallingii, R., Röhl, U., Kölling, M. & Bickert, T. Influence of the water content on X-ray fluorescence core-scanning measurements in soft marine sediments. Geochem. Geophys. Geosyst. 8, Q02004. https://doi.org/10.1029/2006GC001393 (2007).

Download references

Acknowledgements

This project was supported by the Australian Research Council, grants FT180100606 to L.M., DP180100048 to L.M. and K.J.M. and DE190100042 to K.M.G. P.C.T. acknowledges funding from the UK Natural Environment Council (grant: NE/V001620/1). A.G. acknowledges funding from the French Research National Agency (grant ANR-18-BELM-0001-06). Experiments were performed on UNSW HPC Katana https://doi.org/10.26190/669X-A286. This project was facilitated by the activities of the PAGES QUIGS working group. The authors thank the reviewers for their constructive comments, which helped improve the manuscript. This is LSCE publication number 7733.

Author information

Affiliations

Authors

Contributions

L.M. designed the study and performed the numerical experiments. K.M.G. contributed to the initial concept of the study and provided the data of core LC21. L.M. and A.A. analysed the simulations with help from K.J.M. A.G. adjusted the chronology and provided the data of core GeoB7925-1. L.M. wrote the manuscript with contributions from P.C.T. and all other authors. All authors contributed to the ideas in this paper.

Corresponding author

Correspondence to Laurie Menviel.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Peer review information Communications Earth & Environment thanks Lydie Dupont and Deepak Chandan for their contribution to the peer review of this work. Primary Handling Editors: Sze Ling Ho and Joe Aslin. Peer reviewer reports are available.

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

Supplementary information

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 http://creativecommons.org/licenses/by/4.0/.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Menviel, L., Govin, A., Avenas, A. et al. Drivers of the evolution and amplitude of African Humid Periods. Commun Earth Environ 2, 237 (2021). https://doi.org/10.1038/s43247-021-00309-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1038/s43247-021-00309-1

Comments

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.

Search

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