CL1.2.13 | Palaeoclimate modeling: from time-slices and sensitivity experiments to transient simulations into the future
EDI
Palaeoclimate modeling: from time-slices and sensitivity experiments to transient simulations into the future
Convener: Elisa ZieglerECSECS | Co-conveners: Kira Rehfeld, Marie-Luise Kapsch, Sam Sherriff-TadanoECSECS, Brooke SnollECSECS
Orals
| Tue, 16 Apr, 10:45–12:30 (CEST)
 
Room 0.31/32
Posters on site
| Attendance Tue, 16 Apr, 16:15–18:00 (CEST) | Display Tue, 16 Apr, 14:00–18:00
 
Hall X5
Orals |
Tue, 10:45
Tue, 16:15
Modelling past climate states, and the transient evolution of Earth’s climate remains challenging. Time periods such as the Paleocene, Eocene, Pliocene, the Last Interglacial, the Last Glacial Maximum or the mid-Holocene span across a vast range of climate conditions. At times, these lie far outside the bounds of the historical period that most models are designed and tuned to reproduce. However, our ability to predict future climate conditions and potential pathways to them is dependent on our models' abilities to reproduce just such phenomena. Thus, our climatic and environmental history is ideally suited to thoroughly test and evaluate models against data, so they may be better able to simulate the present and make future climate projections.

We invite contributions on palaeoclimate-specific model development, model simulations and model-data comparison studies. Simulations may be targeted to address specific questions or follow specified protocols (as in the Paleoclimate Modelling Intercomparison Project – PMIP or the Deep Time Model Intercomparison Project – DeepMIP). They may include anything between time-slice equilibrium experiments to long transient climate simulations (e.g. transient simulations covering the entire glacial cycle as per the goal of the PalMod project) with timescales of processes ranging from synoptic scales to glacial cycles and beyond. Comparisons may include past, historical as well as future simulations and focus on comparisons of mean states, gradients, circulation or modes of variability using reconstructions of temperature, precipitation, vegetation or tracer species (e.g. δ18O, δD or Pa/Th).

Evaluations of results from the latest phase of PMIP4-CMIP6 are particularly encouraged. However, we also solicit comparisons of different models (comprehensive GCMs, isotope-enabled models, EMICs and/or conceptual models) between different periods, or between models and data, including an analysis of the underlying mechanisms as well as contributions introducing novel model or experimental setups.

Orals: Tue, 16 Apr | Room 0.31/32

Chairpersons: Chris Brierley, Sam Sherriff-Tadano, Brooke Snoll
10:45–10:50
10:50–11:00
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EGU24-9788
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ECS
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solicited
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Highlight
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On-site presentation
Fanni Dora Kelemen, Niels Meijer, and Bodo Ahrens

Paleoclimate models help us understand the complex influence of high CO2 concentration and other boundary conditions on large scale atmospheric circulation patterns. Based on meridional heat transport analysis we investigate different phenomena, such as the Hadley cell, the monsoon and extratropical cyclones, in simulations from the Deep-Time Model Intercomparison Project (DeepMIP). For the analysis we compare preindustrial and early Eocene simulations at a range of CO2 levels (1x, 3x and 6x preindustrial values), which are targeting the climate of the Early Eocene Climatic Optimum (EECO; 53-49 Ma).

Meridional heat transfer analysis shows asymmetric changes due to rising CO2 concentrations in the northern and southern Hadley cells’, which we investigate further. In the DeepMIP simulations, the global monsoon systems transport more latent heat from the subtropics to the higher latitudes, which shows a more intensive hydrological cycle than in present day climate.  Though, the global area influenced by monsoons is smaller in the early Eocene than today due to the differences in paleogeography. Fossil pollen and isotopic records from the Paleocene-Eocene Thermal Maximum (PETM) from arid Central Asia show that rainfall temporarily doubled and that monsoon expanded into the continental interior during these extreme hyperthermal conditions. This is not well captured in the DeepMIP simulations and suggests that even more mechanisms strengthened the development of East Asian monsoon, such as orbital forcing and vegetation feedbacks, that should be considered in future simulations. At the midlatitudes, cyclones’ climatology was also likely different in the Eocene, especially over Eurasia, which was more fragmented, and marginal seas influenced the cyclogenesis through land-sea thermal contrast. The analysis identifies the processes that are affected by the Eocene boundary conditions and that are sensitive to the CO2 increase, which has high relevance to our future climate projections.

How to cite: Kelemen, F. D., Meijer, N., and Ahrens, B.: Large scale atmospheric circulation patterns in DeepMIP simulations, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-9788, https://doi.org/10.5194/egusphere-egu24-9788, 2024.

11:00–11:05
11:05–11:15
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EGU24-17530
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ECS
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On-site presentation
Tim Cutler, Philip Holden, Neil Edwards, and Pallavi Anand

The Penultimate Deglaciation saw climatic warming from a glacial state into the Last Interglacial, which saw warmer-than-preindustrial temperatures and extreme northern hemisphere monsoons. Here a fast, intermediate-complexity 3D dynamic atmosphere-ocean model is used to study the Atlantic Meridional Overturning Circulation (AMOC), Indian and Southeast Asian Summer Monsoons and the carbon cycle during the Penultimate Deglaciation and Last Interglacial in steady state and transient simulations between 140,000 and 122,000 years before present. We find two weak phases of AMOC, the second longer than the first. Indian Summer Monsoon starts in a weak state and reaches a maximum around 127,000 years ago (where northern summer insolation is at a maximum) before declining. The Southeast Asian Monsoon displays smaller changes and an earlier peak. The timing of AMOC collapse and recovery is strongly affected by choice of freshwater forcing timeseries. Sensitivity experiments where individual forcings are varied, find that the timing of AMOC recovery is further influenced by precession, and by ice sheet retreat independent of meltwater flux. Indian monsoon strengthening is mainly driven by precession, with further contribution from CO2, obliquity and the timing of AMOC recovery. Transient simulations find later warming compared to steady state experiments. Experiments with freely evolving CO2 fail to replicate ice core-inferred deglacial CO2 increase.

How to cite: Cutler, T., Holden, P., Edwards, N., and Anand, P.: Transient atmosphere-ocean-carbon simulations through the Penultimate Deglaciation and Last Interglacial, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-17530, https://doi.org/10.5194/egusphere-egu24-17530, 2024.

11:15–11:25
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EGU24-5474
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ECS
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Highlight
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On-site presentation
Marie Sicard, Agatha M. de Boer, Helen K. Coxall, Torben Koenigk, Mehdi Pasha Karami, Martin Jakobsson, and Matt O'Regan

Variations in sea-ice cover result from a combination of changes in external forcing, internal variability, and feedbacks. Because of the complex interconnections between the mechanisms involved, the long-term evolution of Arctic sea ice and its interaction with the ocean and atmosphere are not yet completely understood, leading to large uncertainties in climate projections.

In this study, we focus on patterns of sea-ice loss in the context of past and future Arctic warming. Using a 7-member global circulation model ensemble from CMIP6/PMIP4, we compare the spatial distribution of the Arctic sea ice in a time-slice simulation representing the climate of the Last Interglacial 127,000 years ago and an idealized CO2-forced experiment with a similar annual sea-ice volume.

The major differences between the two periods occur close to the sea-ice margins, due to variations in both oceanic and atmospheric circulation regimes. In particular, a positive sea level pressure anomaly forms over Greenland under CO2 forcing, enhancing the anticyclonic circulation around the island. Consequently, surface winds push more ice along the east coast of Greenland towards the Irminger Sea, where models generally simulate a higher sea-ice concentration in the CO2-forced experiment than in the Last Interglacial simulation. Analogously, on the western side, a weaker export of ice to the south leads to more ice accumulation in northern Baffin Bay. In the Bering and Barents Seas, the increased inflow of warm Pacific and Atlantic waters causes more ice to melt in the CO2-forced simulation. In this context, we explore the implication that Atlantification may be more pronounced in the future than during the Last Interglacial period. Finally, the oceanic region north of Greenland is most resilient to sea-ice loss under both the Last Interglacial solar forcing and future CO2 forcing. This would imply that this region, often referred to as the “Last Ice area,” could also have been the last to lose ice during the Last Interglacial period.

How to cite: Sicard, M., de Boer, A. M., Coxall, H. K., Koenigk, T., Karami, M. P., Jakobsson, M., and O'Regan, M.: Arctic sea-ice loss: Is the Last Interglacial (127 ka BP) a good analog of our future?, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-5474, https://doi.org/10.5194/egusphere-egu24-5474, 2024.

11:25–11:35
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EGU24-17050
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On-site presentation
Matthias Prange

Quaternary interglacials show varying amplitudes and different patterns of changes in climate and vegetation cover. A better understanding of these changes requires deeper insight into the mechanisms by which climate and vegetation interact. Using the Earth system model CESM1.2, the present study assesses the role of Northern Hemisphere vegetation changes in shaping the global climate for different interglacial warm intervals: the mid Holocene (MH; 6 ka), the Last Interglacial (LIG; 127 ka), and Marine Isotope Stage 11 (MIS 11; 409 ka). The model allows the prognostic and interactive simulation of leaf and stem area indices and vegetation height, while the vegetation biogeography is fixed (“semi-dynamic vegetation”). In accordance with previous studies, we find that the simulated interglacial climates turn out to be too cold compared to reconstructions. Relative to the pre-industrial (PI) control run, the annual global mean surface air temperature (SAT) is 0.3 K colder in the MH, 0.1 K colder at the LIG and unchanged at the MIS 11 time slice. Strongest warming is found above the Arctic Ocean, where the model simulates a mean annual SAT increase by up to 3 K for the MH, up to 7 K for the LIG, and up to 6 K for MIS 11. Applying changes in the vegetation cover, which more realistically represent the biogeography of the interglacial time slices (including expansion of vegetation over North Africa and in the northern hemisphere mid and high latitudes), has crucial impact on the global interglacial climates. Over Siberia, annual mean SAT increases by 2-3 K in all interglacial experiments compared to PI. Globally, the MH becomes 0.4 K warmer, the LIG becomes 0.6 K warmer, and the MIS 11 becomes 0.8 K warmer relative to PI. Polar amplification is much more pronounced after applying the vegetation changes, with an annual mean warming of 5-6 K over the Arctic Ocean at the MH, up to 9 K at the LIG, and 7-8 K at MIS 11. The large polar temperature changes during the LIG are associated with a seasonally ice-free Arctic Ocean. The vegetation changes also impact the interglacial atmospheric water cycles, most pronounced in Northern Hemisphere monsoon regions. In particular, the West African monsoon is substantially amplified in response to the expansion of vegetation. Physical processes causing these changes are analyzed. In summary, the results suggest that the intricate interplay between climate and vegetation stands as one of the fundamental mechanisms shaping the dynamics of past interglacials, which needs to be more carefully addressed in future model studies.

How to cite: Prange, M.: Impact of vegetation cover on interglacial climates, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-17050, https://doi.org/10.5194/egusphere-egu24-17050, 2024.

11:35–11:45
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EGU24-1135
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ECS
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Highlight
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On-site presentation
Marilena Geng and Lev Tarasov

Ice sheet evolution profoundly influences the climate system through changes in orography, surface albedo, freshwater fluxes to the ocean, and ocean gateways. The changes to the climate system will, in turn, affect the ice sheets, leading to complex feedback loops. To date, the relative roles of these feedback loops have not been examined over a full glacial cycle. To address this, we employ the glacial earth system model of intermediate complexity LCice in transient simulations of the complete last glacial cycle. Through ensemble-based sensitivity experiments, we isolate the impact of individual ice sheet orography, albedo, meltwater input, Bering Strait opening/closure, and glacio-isostatic adjustment on the climate system and back onto the ice sheet evolution itself. To assess possible state dependencies, we compare the individual impact of ice-climate feedbacks on both the ice sheet growth and decay phase around MIS 5d (Last Glacial Inception) and MIS 2 (Last Glacial Maximum). 

The sensitivity of the North American and Eurasian ice sheets to some feedbacks changes from MIS 5d to MIS 2, suggesting a potential threshold behaviour and complex non-linear dynamics. Our analysis also examines which characteristics of last glacial cycle ice sheet evolution are relatively robust and which are more likely to be highly sensitive to incompletely resolved feedback loops. This work thereby not only improves our understanding of paleo ice/climate coupled dynamics but also identifies feedback pathways that are likely to generate the largest uncertainties in coupled ice and paleoclimate modelling.

How to cite: Geng, M. and Tarasov, L.: Exploring Ice Sheet-Climate Feedbacks Across the Last Glacial Cycle: Insights from a Transient Sensitivity Ensemble , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-1135, https://doi.org/10.5194/egusphere-egu24-1135, 2024.

11:45–11:55
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EGU24-19637
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ECS
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Highlight
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On-site presentation
Ruolan Xiang, Christian R. Steger, and Christoph Schär

To better understand the landscape dynamics and changes in habitat connectivity influenced by glacial and interglacial oscillations over the biodiversity-rich Hengduan Mountains (HM) region, located at the south-eastern edge of the Tibetan Plateau (TP), high-resolution climate data for past periods are essential. We apply the non-hydrostatic limited-area model COSMO with a resolution of 12 km over East Asia for the Last Glacial Maximum (LGM), a period characterized by a generally colder and dryer climate compared to present-day conditions. We perform the downscaling with a novel approach for paleoclimate modelling, the Pseudo-Global Warming (PGW) method. The PGW method minimizes Global Climate Models' (GCMs') inherent biases and reduces computational demands. Despite its widespread use in future climate downscaling, this study represents the first application of the PGW method for paleoclimate simulation to our knowledge. The COSMO PGW simulation for the LGM shows that the regional climate model (RCM) replicates the large-scale dynamics of the driving GCM simulation in the colder climate. Both models suggest weaker Asian summer monsoon systems for this period. Consequently, regions such as the Bay of Bengal, the South China Sea, and the coastal region of China, which typically receive substantial monsoon rainfall, experienced significantly reduced precipitation. However, besides these model similarities, the high-resolution COSMO simulation exhibits distinctive differences on a smaller scale for variables like near-surface wind and precipitation — particularly over land. For instance, COSMO suggests a more significant southward shift of the jet stream during the LGM winter, with more pronounced annual cooling and a prolonged Meiyu season in southern China. Moreover, the COSMO simulation features increased LGM precipitation amounts for the majority of the HM despite the overall weaker summer monsoon circulation. Regarding snowfall, which is a crucial factor for the glaciation extent of the TP during LGM, COSMO suggests increases for certain sub-areas (e.g., central TP) during all seasons, while in the GCM, the increase is primarily constrained to summer and limited to a smaller region near the Himalayas. Furthermore, evaluation with proxy data indicates an improved representation of local climate by COSMO for specific regions. Our study suggests that the resource-saving PGW approach is a suitable method to bridge the gap between coarser climate data and regional climate impacts, also for past periods like the LGM.

How to cite: Xiang, R., Steger, C. R., and Schär, C.: Simulating high-resolution climate over East Asia for the Last Glacial Maximum utilising the pseudo-global warming approach, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-19637, https://doi.org/10.5194/egusphere-egu24-19637, 2024.

11:55–12:05
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EGU24-14156
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ECS
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On-site presentation
Alicia Hou, Lukas Jonkers, and Sze Ling Ho

The tropical Pacific Ocean can oscillate between different mean states, characterized by distinct upper ocean configurations. As these mean state shifts can have global climatic impacts, it is crucial to understand how they respond to global-scale forcing, particularly greenhouse gas (GHG) concentrations. Proxy- and model-based paleoclimate studies typically use a set of mean state indices, including the east-west sea surface temperature (SST) gradient, equatorial thermocline tilt, etc. for reconstructing orbital and glacial-interglacial tropical Pacific Ocean mean-state changes. However, it remains unclear whether these mean state diagnostics commonly adopted in paleoclimate studies are robust and can be observed in instrumental data. To this end, we first used ARGO data to critically examine how these indices behave in response to the shift from El Niño to La Niña conditions (i.e., two modern-day mean state end-members). Next, we used compiled proxy records and an ensemble of climate models from PMIP 3 and 4 to detect mean state changes between the LGM and Holocene, two past climate periods with markedly different GHG levels.  

The computed LGM and Holocene mean state diagnostics reveal numerous proxy-model discrepancies, most notably in the eastern equatorial cold tongue (EECT). While proxies suggest that LGM SST cooling in the EECT was minimal and subsurface temperatures (SubTs) warmed, models show no evidence of reduced SST cooling nor SubT warming. As such, the proxy-derived LGM tropical Pacific mean state is characterized by reduced zonal SST and SubT gradients compared to the Holocene, whereas models show no significant glacial-interglacial differences. In line with previous proxy-based studies, we attribute the subdued SST cooling and SubT warming signals in the proxy data as strong indications that the effects of radiative cooling in the EECT are counteracted by dynamic processes such as upwelling, Intertropical Convergence Zone migrations, etc. Since model results indicate a direct upper ocean response in the EECT to glacial GHG reduction, we suggest that none of the models are capable of realistically simulating the dynamic processes operating in the EECT.

Both proxies and models indicate that the shift from LGM to Holocene climatic conditions produced zonally symmetrical upper ocean changes in the tropical Pacific. This differs from the distinctive zonally asymmetrical upper ocean responses during the shift from El Niño to La Niña conditions. Thus, our findings demonstrate that it is inappropriate to use modern-day El Niño-Southern Oscillation dynamics to explain glacial-interglacial changes in tropical Pacific mean state. We note that the modelled regionally-averaged indices of tropical Pacific Ocean mean state are associated with exceptionally large spatial variabilities, such that it is nearly impossible to detect mean state differences between the LGM and Holocene. This indicates the need to use higher resolution regional models to elucidate regional-scale signals.

How to cite: Hou, A., Jonkers, L., and Ho, S. L.: Detection of tropical Pacific Ocean mean state changes between the LGM and Holocene, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-14156, https://doi.org/10.5194/egusphere-egu24-14156, 2024.

12:05–12:15
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EGU24-11263
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On-site presentation
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Marco Gaetani, Gabriele Messori, Francesco S.R. Pausata, Shivangi Tiwari, M. Carmen Alvarez Castro, and Qiong Zhang

During the first half of the Holocene (11,000 to 5,000 years ago) the Northern Hemisphere experienced a strengthening of the monsoonal regime, with climate reconstructions robustly suggesting a greening of the Sahara region. Paleoclimate archives also show that this so-called African Humid Period (AHP) was accompanied by changes in the climate conditions at mid to high latitudes. However, inconsistencies still exist in reconstructions of the mid-Holocene (MH) climate at mid-latitudes, and model simulations provide limited support to reduce these discrepancies. In this study, a set of simulations performed with an Earth System Model is used to investigate the hitherto unexplored impact of the Saharan greening on mid-latitude atmospheric circulation during the MH. Numerical simulations show a year-round impact of the Saharan greening on the main circulation features in the Northern Hemisphere, especially during boreal summer when the African monsoon develops. In particular, a westward shift of the global Walker Circulation leads to a modification of the North Atlantic jet stream. The Saharan greening also modifies the atmospheric synoptic circulation over the North Atlantic, changing the North Atlantic Oscillation phase from prevailingly positive to neutral-to-negative, and significantly modifying the occurrence of blocking events. This study provides a first constraint on the Saharan greening influence on northern mid-latitudes, indicating new opportunities for understanding the MH climate anomalies in the Euro-Atlantic sector.

How to cite: Gaetani, M., Messori, G., Pausata, F. S. R., Tiwari, S., Alvarez Castro, M. C., and Zhang, Q.: The impact of mid Holocene Saharan greening on the Euro-Atlantic climate variability, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-11263, https://doi.org/10.5194/egusphere-egu24-11263, 2024.

12:15–12:25
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EGU24-8885
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solicited
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Highlight
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On-site presentation
Pascale Braconnot and Olivier Marti

Transient Holocene climate simulations with state-of-the-art Earth system models offers new opportunities to investigate the relationship between multidecadal to multicentennial variability, the long-term climate trends, and interannual to decadal variability (Braconnot et al. GRL, 2019). However, multidecadal to multicentennial variability is still poorly known, both because it is difficult to properly extract from proxy records and because it is at the limit of what can actually be done with Earth System models. In addition, the different feedbacks from ocean or land-surface properties that can shape its characteristics are still poorly understood. Different climate models seem to provide different centennial variability patterns between the different ocean basins that reflect either the chaotic nature of the climate system or a poor representation of these variability scales. 

In this presentation, we will consider new mid-to-late Holocene simulations with the IPSL Earth System model, one of which includes interactive dynamical vegetation. We will first investigate the characteristics of multidecadal to multicentenial variability in these new simulations, with reference to recent publications comparing different transient Holocene simulations and addressing temperature variability scales, the thermohaline circulation, or Atlantic Ocean patterns leading to a reduction of the African monsoon interannual variability. We will also focus on key variability events that appear in the simulations and have a substantial impact on rapid changes in the African monsoon or on Northern Europe climate and land surface conditions (snow, soil moisture or vegetation). This opens the way to new research directions as part of the Paleoclimate Modeling Intercomparison Project.

How to cite: Braconnot, P. and Marti, O.: Multidecadal to multicentennial variability in Holocene transient simulations , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-8885, https://doi.org/10.5194/egusphere-egu24-8885, 2024.

12:25–12:30

Posters on site: Tue, 16 Apr, 16:15–18:00 | Hall X5

Display time: Tue, 16 Apr, 14:00–Tue, 16 Apr, 18:00
Chairpersons: Elisa Ziegler, Sam Sherriff-Tadano, Brooke Snoll
X5.108
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EGU24-12827
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Highlight
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Peter Hopcroft, Paul Wilson, Anya Crocker, Chuang Xuan, and Paul Valdes

General circulation models (GCMs) often fail to reproduce two key aspects of palaeoclimate states: the Holocene Greening of the Sahara and the warm poles of the Early Eocene. These biases are systematic across many generations of GCMs and appear to be largely independent of model complexity or resolution. Recently, solutions to both problems have been proposed through changes to the ‘physics’ parameterisations in GCMs. These parameterisations are employed to approximate aspects such as clouds, convection and turbulence that are too complex or fine-scale to be represented directly. In this work we employ a perturbed parameter ensemble of coupled GCM simulations that samples uncertainty in these aspects for the pre-industrial, mid-Holocene and early Eocene. Our aim is to evaluate whether one model can reproduce two independent palaeoclimate states satisfactorily and thereby improve the performance of the model for future and other times in the past. We use the coupled GCM HadCM3B and perturb 19 model parameters relating to atmospheric convection, clouds, the land-surface and ocean mixing across >1000 ensemble members. We then use a statistical emulator to learn from the ensemble and palaeo-condition the parameter values based on constraints from observed climatology and mid-Holocene and Eocene climate reconstructions. We examine the compatibility of the two palaeoclimate states in terms of their optimal parameter values and evaluate whether the model can produce the Holocene green Sahara given different assumptions on the contribution of summer (monsoon) and/or winter (stormtrack) rainfall increases. Our results constitute a step towards a fully palaeo-conditioned GCM which can more reliably simulate out-of-sample past or future climate states.

How to cite: Hopcroft, P., Wilson, P., Crocker, A., Xuan, C., and Valdes, P.: Palaeo-conditioning a coupled climate model to reproduce the Holocene greening of the Sahara and the warm poles of the Eocene, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-12827, https://doi.org/10.5194/egusphere-egu24-12827, 2024.

X5.109
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EGU24-19737
Thomas Riddick and Thomas Kleinen

The continually evolving large ice sheets present in the Northern Hemisphere during the last glacial cycle caused significant changes to drainage pathways both through directly blocking rivers and through glacial isostatic adjustment. These changing drainage pathways drove the formation, evolution and (sometimes catastrophic) drainage of large glacial lakes such as Lake Agassiz. Studies have shown this changing hydrology had a significant impact on the ocean circulation through changing the pattern of freshwater discharge into the oceans. A coupled Earth system model simulation of the last glacial cycle thus requires a lake model that uses a set of river pathways and lakes that evolve with Earth's changing orography. Here, we present a method for dynamically modelling lakes (building on previous work on dynamically modelling rivers) by applying predefined corrections to an evolving fine-scale orography (accounting for the changing ice sheets and isostatic rebound) each time the river directions and lakes basins are recalculated. The lakes are delineated from this corrected fine scale orography and water level within each lake is modelled within the JSBACH land surface model. Lake inflow and outflow are linked to the existing river flow model within JSBACH while evaporation from the lake surface is linked to the ECHAM atmospheric general circulation model.

How to cite: Riddick, T. and Kleinen, T.: Dynamic Lake Modelling for Coupled Climate Model Simulations of the Last Glacial Cycle, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-19737, https://doi.org/10.5194/egusphere-egu24-19737, 2024.

X5.110
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EGU24-11691
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ECS
Yifan Li, Alexandre Cauquoin, Atsushi Okazaki, and Kei Yoshimura

  Understanding Earth's climate is more important than ever, as it allows us to anticipate future changes and their potential impact on human society. The study of paleoclimate is crucial for understanding the mechanisms that have driven past climate variations, including natural oscillations, external forcings, and feedback processes within the Earth's climate system. Stable water isotopes (H218O and HD16O) can serve as tracers to analyze the origins of water vapor, precipitation, and cloud formation, thereby enhancing our understanding of evaporation, condensation, and precipitation processes.

  In order to understand coupled dynamics process, such as such as atmospheric convection/cloud formation, land surface processes, and sea ice effects according isotope insight, we developed an isotope-enabled fully coupled model(atmosphere-land-ocean coupled model), MIROC6-iso.

  MIROC6 is the newest version of the Model for Interdisciplinary Research on Climate (MIROC) series. MIROC6 has updated the physical parameterizations in all sub-modules and vertical resolution. The overall reproducibility of mean climate, internal climate variability, midlatitude atmospheric circulation and tropical climate systems in MIROC6 is better than that in MIROC5.

  Based on the AGCM MIROC6-iso to which stable water isotopes are implemented into the atmosphere and land-surface component[1], we implemented the stable water isotopes into the ocean and sea-ice component at first. Then, we make the atmosphere, land-surface, ocean and sea-ice component coupled and enabled them to interacted with each other.

  We performed the simulation under the preindustrial period (PI), corresponding to the climate conditions at 1850 CE. In the ocean component, we employed a spin-up process by separately running the ocean model COCO-iso from the  ocean component of the CGCM MIROC6-iso for 4000 years. This was done to establish initial conditions for the ocean part of CGCM MIROC6-iso, ensuring that the ocean component operates directly under equilibrium conditions.

 CGCM MIROC6-iso shows a good performance in simulating isotope ratios in precipitation. Additionally, we compared the d-excess of precipitation, as well as the isotopic delta values of the ocean surface and deep ocean. We also examined the relationship between the isotopic delta values and both temperature and sea surface salinity.

 CGCM MIROC6-iso may has many potential applications in climate analysis, such as analyzing the monsoon wind fields in monsoon cycles, as well as the coupled mechanisms of the atmosphere and ocean in ENSO, monsoon and so on. Then it can be used to analyse the climate of the past. We hope this new model could contribute to CMIP6/PMIP4.

[1] Okazaki, A., Li, Y., Kino, K., Cauquoin, A., and Yoshimura, K., Evaluation of a newly developed isotope-enabled AGCM MIROC6-iso under the present climate, AGU 2023, San Francisco (USA), December 2023.

How to cite: Li, Y., Cauquoin, A., Okazaki, A., and Yoshimura, K.: Development of the Isotope-enabled Fully Coupled Model MIROC6-iso, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-11691, https://doi.org/10.5194/egusphere-egu24-11691, 2024.

X5.111
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EGU24-20074
Rahul Sivankutty, Louise Sime, Alexandre Cauquoin, Martin Werner, Allegra N.LeGrande, Sentia Goursaud, and Irene Malmierca Vallet

The stable water isotope ratios of water trapped in polar ice cores have been used to make inferences about temperatures and precipitation of the past.  Coupled climate models with the capability to simulate these stable water isotopes and their distribution throughout the hydrological cycle, are a valuable tool to help us understand the relationship between the isotopic signature and the climate state.  Here we compare the Last interglacial (LIG) climate and the isotopic signature simulated by three models with embedded water isotope diagnostics (ECHAM6, NASA-GISS and HadCM3). We look at these model's ability to simulate polar climate, both Arctic and Antarctic, and show how the isotope signature compares with available ice core estimates. All the models simulate a warming and heavier precipitation in Arctic for the LIG, compared to their corresponding preindustrial control simulations. There are however differences in the magnitude and pattern of these changes. In Antarctica, there are considerable differences in PI to LIG warming and precipitation patterns between models. We decompose the δ18O changes, showing that the impact of seasonality changes in precipitation on δ18O are similar in the models. However, changes in δ18O due to other changes, particularly those driven by source impacts including sea ice changes, are more variable between the models. Finally, we analyse LIG North Atlantic water hosing experiments run using HadCM3. A 0.25Sv hosing in the North Atlantic leads to a shutdown of Atlantic meridional overturning circulation. This prevents North Atlantic heat loss and leads to a warmer Antarctica. The δ18O signature in these hosed runs has a closer match to the ice core observations, compared to the standard (non-hosed) LIG simulation.

How to cite: Sivankutty, R., Sime, L., Cauquoin, A., Werner, M., N.LeGrande, A., Goursaud, S., and Malmierca Vallet, I.: The water isotope signature for the Last interglacial in three water isotope enabled climate models., EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-20074, https://doi.org/10.5194/egusphere-egu24-20074, 2024.

X5.112
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EGU24-13780
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ECS
Takashi Obase, Laurie Menviel, Ayako Abe-Ouchi, Tristan Vadsaria, Ruza Ivanovic, Brooke Snoll, Sam Sherriff-Tadano, Paul Valdes, Lauren Gregoire, Marie-Luise Kapsch, Uwe Mikolajewicz, Nathaelle Bouttes, Didier Roche, Fanny Lhardy, Chengfei He, Bette Otto-Bliesner, Zhengyu Liu, and Wing-Le Chan

The quaternary climate is characterised by glacial-interglacial cycles, with the most recent transition from the last glacial maximum to the present interglacial (the last deglaciation) occurring between ~ 21 and 9 ka. While the deglacial warming at southern high latitudes is mostly in phase with atmospheric CO2 concentrations, some proxy records have suggested that the onset of the warming occurred before the CO2 increase. In addition, southern high latitudes exhibit a cooling event in the middle of the deglaciation (15–13 ka) known as the Antarctic Cold Reversal (ACR). In this study, we analyse transient simulations of the last deglaciation performed by six different climate models as part of the 4th phase of the Paleoclimate Modelling Intercomparison Project (PMIP4) to understand the processes driving southern high latitude surface temperature changes. While proxy records from West Antarctica and the Pacific sector of the Southern Ocean suggest the presence of an early warming before 18 ka, only half the models show a significant warming (~1 °C or ~10 % of the total deglacial warming). All models simulate a major warming during Heinrich stadial 1 (HS1, 18–15 ka), greater than the early warming, in response to the CO2 increase. Moreover, simulations in which the AMOC weakens show a more significant warming during HS1 as a result. During the ACR, simulations with an abrupt increase in the AMOC exhibit a cooling in southern high latitudes, while those with a reduction in the AMOC in response to rapid meltwater exhibit warming. We find that all climate models simulate a southern high latitude cooling in response to an AMOC increase with a response timescale of several hundred years, suggesting the model’s sensitivity of AMOC to meltwater, and the meltwater forcing in the North Atlantic and Southern Ocean affect southern high latitudes temperature changes. Thus, further work needs to be carried out to understand the deglacial AMOC evolution with the uncertainties in meltwater history. Finally, we do not find substantial changes in simulated Southern Hemisphere westerlies nor in the Southern Ocean meridional circulation during deglaciation, suggesting the need to better understand the processes leading to changes in southern high latitude atmospheric and oceanic circulation as well as the processes leading to the deglacial atmospheric CO2 increase.

How to cite: Obase, T., Menviel, L., Abe-Ouchi, A., Vadsaria, T., Ivanovic, R., Snoll, B., Sherriff-Tadano, S., Valdes, P., Gregoire, L., Kapsch, M.-L., Mikolajewicz, U., Bouttes, N., Roche, D., Lhardy, F., He, C., Otto-Bliesner, B., Liu, Z., and Chan, W.-L.: Multi-model assessment of the deglacial climatic evolution at high southern latitudes , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-13780, https://doi.org/10.5194/egusphere-egu24-13780, 2024.

X5.113
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EGU24-16340
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ECS
Dragan Latinovic, Ute Merkel, and Matthias Prange

The last deglaciation is characterized by a sequence of abrupt climate events, with melting ice sheets as its most distinctive feature. By meltwater release, ice sheets affect the oceanic circulation and modulate the Atlantic Meridional Overturning Circulation (AMOC). Understanding the stability of the AMOC under deglacial boundary conditions is therefore of vital importance for a better understanding of the climate trajectory from the Last Glacial Maximum (LGM) to the Holocene. To this end, we explore the impact of different glacial/deglacial boundary conditions (greenhouse gas concentrations (GHG), orbital parameters, ice-sheet topography) on the stability of the AMOC in freshwater hosing experiments using the Earth system model CESM1.2. This study is part of coordinated activities within the German climate modeling initiative (PalMod). For this purpose, three different configurations with various combinations of boundary conditions are used: (i) Full 15.2 ka boundary conditions, (ii) 15.2 ka boundary conditions except for LGM GHG, and (iii) LGM boundary conditions with 15.2 ka ice-sheet topography. After initial spin-up model integrations (3000-4000 years), freshwater hosing (0.1 Sv and 0.2 Sv; 400-700 years) is performed to each experiment, in which the AMOC is perturbed in the ice-rafted debris belt in the Northern Atlantic Ocean (40°N–55°N, 45°W–20°W). We find that the AMOC is most stable with respect to hosing under full 15.2 ka boundary conditions. Under reduced (LGM) GHG forcing, the AMOC becomes more unstable and collapses with only 0.1 Sv of freshwater hosing. Under certain conditions (15.2 ka boundary conditions with 0.1 Sv hosing) the AMOC exhibits bistability. Abrupt recovery along with an overshoot of the AMOC after removal of the hosing resembles Bølling/Allerød (B/A) warming by its intensity and duration. Finally, spontaneous (unhosed) millennial-scale AMOC oscillations are found under LGM boundary conditions with 15.2 ka ice-sheet topography. In sum, our set of experiments indicates that the deglacial AMOC evolution was the result of a non-linear complex interplay between different forcing factors rather than a simple (linear) response to meltwater forcing.

How to cite: Latinovic, D., Merkel, U., and Prange, M.: Deglacial AMOC sensitivity in freshwater hosing experiments using CESM, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-16340, https://doi.org/10.5194/egusphere-egu24-16340, 2024.

X5.114
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EGU24-13543
Sam Sherriff-Tadano, Marlene Klockmann, Hidetaka Kobayashi, Marie Kapsch, Bo Liu, Ruza Ivanovic, and Ayako Abe-Ouchi

Simulating and reproducing the past Atlantic meridional overturning circulation (AMOC) with comprehensive climate models are essential to test the ability of models to simulate different climates. At the Last Glacial Maximum (LGM), reconstructions show a shoaling of the AMOC compared to modern climate. However, almost all state-of-the-art climate models simulate a deeper LGM AMOC. Here, we conduct a multi-model analysis using outputs from all PMIP phases (PMIP2 to PMIP4) to consistently explore the causes of this paleodata-model mismatch. The analysis focuses on the role of sea-surface temperature biases in the piControl simulation as well as changes in ocean temperature, salinity and density in each oceanic basin. We further compare the deepwater formation regions in each model and explore potential implications on the interpretation of paleodata-model comparison.

How to cite: Sherriff-Tadano, S., Klockmann, M., Kobayashi, H., Kapsch, M., Liu, B., Ivanovic, R., and Abe-Ouchi, A.: A multi-model analysis of the PMIP LGM AMOC, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-13543, https://doi.org/10.5194/egusphere-egu24-13543, 2024.

X5.115
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EGU24-15867
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ECS
Muriel Racky, Felix Pollak, Elisa Ziegler, Nils Weitzel, and Kira Rehfeld

Climate models rely on parametrizations of unresolved Earth system processes. These often include uncertain parameters that are estimated in a procedure called tuning, where the model output is optimized with respect to selected climate observations. Most models are tuned against present-day observations. However, if the parametrizations robustly represent the underlying physics, a tuned set of model parameters should be valid independent of the simulated climate, including climate states very different from present-day such as the Last Glacial Maximum (LGM).

Here, we present the procedure for and the results of an iterative Bayesian tuning of PlaSim-LSG, an Earth system model of intermediate complexity (EMIC). Its low computational cost allows for long simulation periods and large ensembles. For a preliminary tuning restricted to observational information from recent decades, we find a less realistic LGM state of the Atlantic Meridional Overturning Circulation (AMOC) and sea ice distribution than in the default model version. This could imply that tuning based only on present-day observations might be insufficient to target significantly colder climates such as the LGM. However, prior sensitivity studies have shown that PlaSim-LSG is capable of simulating a wide range of AMOC states under varying ocean diffusivity parameters and handling of freshwater runoff. Therefore, we redefine tuning targets, combining present-day observations with LGM climate reconstructions. We investigate how the weighting of the different climate state metrics in the tuning target impacts the resulting present-day and LGM climates. The goal of this exploratory approach is to test parameter sensitivity and identify state-dependent parameters. This could be used in the future to inform model development decisions by focusing on improving parametrizations with highly state-dependent parameters.

How to cite: Racky, M., Pollak, F., Ziegler, E., Weitzel, N., and Rehfeld, K.: Objective tuning of an EMIC using present-day observations and Last Glacial Maximum climate reconstructions, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-15867, https://doi.org/10.5194/egusphere-egu24-15867, 2024.

X5.116
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EGU24-2362
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ECS
Heves Pilatin, André Paul, Friederike Pollmann, and Michael Schulz

As the most recent glacial period of Earth's history, the Last Glacial Maximum (~21,000 years before the present day, LGM) is an important and one of the most studied paleo times when the ice-sheet coverage was at the maximum extent, and the global average temperature was 6°C cooler than present day (PI). The large volume of ice caused an approximately 130 m drop in sea level and exposure of the continental shelves, shifting the tidal dissipation energy that sinks in the present-day shelf seas to the open ocean during the LGM. Regarding this hypothesis, the LGM ocean is expected to be more turbulent and well-ventilated in the abyssal and possibly have a much stronger overturning circulation in the North Atlantic compared to the present day. However, the paleo records of δ13C indicate a deoxygenated deep ocean for LGM. In this study, we test the LGM hypothesis on the global circulation and marine biogeochemical processes by implementing a new energetically consistent ocean mixing parameterization: Internal Wave Dissipation, Energy, and Mixing (IDEMIX) in the fully coupled isotope-enabled Community Earth System Model (iCESM1.2). For the scope of this study, we solely focus on baroclinic tidal-induced mixing by parameterizing dissipation from the internal wave breaking in IDEMIX. Our preliminary results illustrate the LGM ocean as more vigorous than the PI ocean only when the IDEMIX is used in the model since the diffusivities are enhanced by almost two orders of magnitude, especially over the rough bathymetry with IDEMIX coupling. Otherwise, no significant difference is observed between the vertical diffusivities of LGM and PI oceans without IDEMIX, despite the divergence in their tidal energy dissipation fields. The increase in the diffusivities with IDEMIX application can be seen not just at the ocean bottom but also along the entire water column near the internal wave generation sites where the tidal energy dissipation is strongest (e.g., the Mid-Atlantic Ridge, the Hawaiian Ridge, or high latitudes in Atlantic). Consistent with the hypothesis, the turbulence near the exposed shelves is boosted in the deep ocean and dispersed across different depth levels from here when the model uses IDEMIX for the LGM simulation. Additionally, the North Atlantic Deep Water (NADW) cell gets weaker and shallower by ∼ 2 Sv, and the Antarctic Bottom Water (AABW) cell enlarges based on the IDEMIX influence on the LGM ocean.

How to cite: Pilatin, H., Paul, A., Pollmann, F., and Schulz, M.: Response of large-scale Ocean Circulation to Global Internal Wave Parameterization IDEMIX under Last Glacial Maximum Conditions, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-2362, https://doi.org/10.5194/egusphere-egu24-2362, 2024.

X5.117
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EGU24-5380
Chris Brierley, Kaustubh Thirumalai, Edward Grindrod, Harry Grosvenor, Jonathan Barnsley, Charles Williams, and Heather Ford

The Indian Ocean exhibits multiple modes of interannual climate variability, whose future behaviour is uncertain. Recent analysis of glacial climates has uncovered an additional El Niño-like equatorial mode in the Indian Ocean, which could also emerge in future warm states. Here we explore changes in the tropical Indian Ocean simulated by the Paleoclimate Model Intercomparison Project (PMIP4). These simulations are performed by an ensemble of models contributing to the Coupled Model Intercomparison Project 6 and over five coordinated experiments: four past periods (midHolocene, lgm, lig127k and midPliocene-eoi400) and an idealized forcing scenario to examine the impact of greenhouse forcing. The two interglacial experiments are used to characterize the role of orbital variations in the seasonal cycle, whilst the others are focused on responses to large changes in global temperature. The Indian Ocean Basin Mode (IOBM) is damped in both the mid-Holocene and last interglacial, with the amount related to the damping of the El Niño–Southern Oscillation in the Pacific. No coherent changes in the strength of the IOBM are seen with global temperature changes; neither are changes in the Indian Ocean Dipole (IOD) nor the Niño-like mode. Under orbital forcing, the IOD robustly weakens during the mid-Holocene experiment, with only minor reductions in amplitude during the last interglacial. Orbital changes do impact the SST pattern of the Indian Ocean Dipole, with the cold pole reaching up to the Equator and extending along it. Induced changes in the regional seasonality are hypothesized to be an important control on changes in the Indian Ocean variability.

How to cite: Brierley, C., Thirumalai, K., Grindrod, E., Grosvenor, H., Barnsley, J., Williams, C., and Ford, H.: Indian Ocean variability changes in the Paleoclimate Modelling Intercomparison Project, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-5380, https://doi.org/10.5194/egusphere-egu24-5380, 2024.

X5.118
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EGU24-12117
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ECS
Andrew Lowry and Hamish McGowan

The Australian continent spans tropical to extra-tropical latitudes with corresponding variety of temperature and precipitation. In the tropical north of Australia, the monsoon and resultant precipitation is critical for agriculture and human habitation. The timing of monsoon onset and duration of the monsoon season is therefore an essential piece of information for understanding the hydroclimate of northern Australia. The present-day monsoon onset, defined as the reversal of lower tropospheric winds, occurs on 24 December ± 15 days, and the average duration of the monsoon season is 80 days. The areal extent of the monsoon is also a critical aspect of the hydroclimate, with a poleward penetration of monsoon precipitation improving agricultural and habitation conditions.

The present day northern Australian monsoon has been widely studied. The palaeo-monsoon, however, has rarely been studied and never using downscaled climate models. Here we present the first results from such modelling of the timing of monsoon onset, duration, and extent for three time slice simulations: 6000 BP, 12000 BP, and 21000 BP. These results are compared to a pre-industrial control simulation (1850) and NCEP data for 1991 – 2021. The simulations were performed using the Weather Research and Forecasting (WRF) model, with initial and boundary conditions taken from the Community Earth System Model (CESM). Both models were adjusted for the appropriate greenhouse gas concentrations, insolation, and land-sea distribution.

How to cite: Lowry, A. and McGowan, H.: Quantifying the Australian monsoon since the Last Glacial Maximum using downscaled models, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-12117, https://doi.org/10.5194/egusphere-egu24-12117, 2024.

X5.119
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EGU24-20613
Xiaoxu Shi, Hu Yang, Jiping Liu, Gerrit Lohmann, and Martin Werner

The changes of summer monsoon precipitation over West Africa has been well documented for the past climate. However, the specific changes in the onset, withdrawal, and duration of the WASM have not been explored extensively due to the lack of high temporal resolution reconstructions.

Solar insolation, which reaches its maximum during boreal summer, acts as the primary energy source for the monsoon system. The precession of Earth's orbit regulates the occurrence of perihelion and aphelion and the length of the summer season. To examine the role of precession on the WASM, we conducted 24 time-slice simulations, altering the precession angle from 0° to 345° with a 15° interval.

Using simulated daily precipitation for West Africa, we analyzed the intensity, onset, withdrawal, and duration of the summer monsoon in our model study. Our findings reveal that precession has a significant influence on the intensity and duration of the WASM. Generally, during the northern summer, if Earth is closer to perihelion, the WASM tends to be stronger but shorter. Conversely, if Earth is closer to aphelion, the WASM is weaker but has a longer duration.

These results emphasize the importance of considering the orbital effect on the WASM intensity and duration over a precessional cycle.

How to cite: Shi, X., Yang, H., Liu, J., Lohmann, G., and Werner, M.: Precessional effects on West Africa summer monsoon intensity and duration, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-20613, https://doi.org/10.5194/egusphere-egu24-20613, 2024.

X5.120
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EGU24-7693
Tao Wang, Hongna Xu, Dabang Jiang, and Junqiang Yao

We investigated the precipitation changes in mid-latitude arid central Asia (ACA, including Central Asia and Xinjiang) and the related mechanisms in the mid-Holocene using the output from the Paleoclimate Modelling Intercomparison Project phases 3 and 4 (PMIP3/4). The annual precipitation in ACA was decreased in the mid-Holocene compared with the pre-industrial period, consistent in direction with reconstruction records. Such change was mainly due to deficient winter and spring (December–May) precipitation in the mid-Holocene. The decrease in incoming solar radiation in the mid-Holocene winter and spring caused stronger surface and tropospheric cooling in the northern low latitudes. It reduced the meridional temperature gradient in the troposphere, thereby weakening the westerly winds and related transport of water vapor. More importantly, the cooling weakened the local water cycle in ACA. Finally, the precipitation decreased over almost all of ACA. In the mid-Holocene summer (June–August), the meridional temperature gradient and related westerly winds were also reduced. It was mainly caused by stronger surface and tropospheric warming in the northern mid- to high latitudes. The stronger warming was due to increased summer incoming solar radiation in the mid-Holocene. This process differed from that occurred in winter and spring. Therefore, the water vapor transport was weakened, and the summer precipitation was deficient in northern ACA. At the same time, strengthened descending motions contributed to the decrease in summer precipitation in most Central Asia. On the contrary, intensified ascending motions increased summer precipitation in southeastern Xinjiang. 

How to cite: Wang, T., Xu, H., Jiang, D., and Yao, J.: Mechanisms of reduced mid-Holocene precipitation in arid central Asia as simulated by PMIP3/4 models, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-7693, https://doi.org/10.5194/egusphere-egu24-7693, 2024.

X5.121
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EGU24-17867
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ECS
Deepashree Dutta, Peter Hopcroft, Thomas Aubry, and Francesco Muschitiello

Stratospheric aerosol injection from volcanic eruptions results in a complex set of responses driving climate effects across various time and spatial scales. However, the physical mechanisms through which volcanic forcing causes long-term global and regional cooling remain insufficiently examined. In particular, the climate feedbacks and responses to a cluster of strong volcanic eruptions that occurred pre-Holocene are still poorly quantified. We examine the cooling potential of volcanic clusters and assess the short- and long-term memory of regional and global climatic variability using a suite of idealised volcanic forcing experiments with the Hadley Centre Coupled Model, version 3. We compare the responses to Northern Hemisphere high and low latitude volcanic clusters and the impact of different boundary conditions. We find a largely similar surface air temperature response to low and high latitude volcanic clusters. Individual volcanic eruptions lead to a global mean surface air temperature cooling of approximately 0.5°-1.5°C, and this cooling appears to increase after successive eruptions. We also investigate changes in the coupling between northward heat transport, Arctic sea ice, and the Atlantic Meridional Overturning Circulation caused by the volcanic forcing.

How to cite: Dutta, D., Hopcroft, P., Aubry, T., and Muschitiello, F.: Surface air temperature response to strong volcanic clusters in the Last Glacial Maximum, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-17867, https://doi.org/10.5194/egusphere-egu24-17867, 2024.

X5.122
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EGU24-1945
Zhiping Tian

Using all available simulations performed by climate models participating in PMIP4 (Paleoclimate Modelling Intercomparison Project – Phase 4), we quantify the seasonality change of surface air temperature over China during the mid-Holocene (6000 years ago) and the associated physical mechanisms. Relative to the preindustrial period, all 16 models consistently show an enhanced temperature seasonality (i.e., summer minus winter temperature) across China during that interglacial period, with a nationally averaged enhancement of 2.44°C or 9% for the multimodel mean. The temperature seasonality change is closely related with the seasonal contrast variation of surface energy fluxes mainly due to the mid-Holocene orbital forcing. Specifically, the summer–winter increase in surface net shortwave radiation dominates the intensified temperature seasonality at the large scale of China during the mid-Holocene; the surface net longwave radiation has a minor positive contribution in most of the Tibetan Plateau and eastern China; and both the surface latent and sensible heat fluxes show partial offset effects in most of the country. There are uncertainties in the reconstructed temperature seasonality over China during the mid-Holocene based on the proxy data that can reflect seasonal signals.

How to cite: Tian, Z.: Enhanced seasonality of surface air temperature over China during the mid-Holocene, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-1945, https://doi.org/10.5194/egusphere-egu24-1945, 2024.

X5.123
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EGU24-21638
Hussain Alsarraf

The aim of this study is to analyze the past climate over the Arabian Peninsula and the changes which will influence the future climate change. This study will focus on the Holocene climate over the Arabian Peninsula, that began 11,700 years ago. In this study the ensemble simulations of the LOVECLIM coupled model is used considering that the model proven to be the best concurrence with the reconstructions. LOVECLIM 1.2 model includes the atmosphere component is ECBilt2, the ocean and see ice component is CLIO3, the continental biosphere component land surface VECODE, the oceanic carbon cycle component LOCH, and the polar ice sheet component AGISM. LOVECLIM 1.2 simulate the present climate conditions and the last 20 millennia, the Last Glacial Maximum and the Holocene climate. The model used to simulate temperatures and precipitations in the Last Glacial Maximum and the Holocene climate over the Arabian Peninsula. The model outcomes indicate that high amount of precipitation occurred over the central region of  the Arabian Peninsula during the mid Holocene. The fluctuation of the Indian monsoon and the shift of the intertropical convergence zone (ITCZ) plays huge part on participation over the Arabian Peninsula.

How to cite: Alsarraf, H.: Using Paleoclimate modeling to analyse the precipitations and temperatures during the Holocene over the Arabian Peninsula, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-21638, https://doi.org/10.5194/egusphere-egu24-21638, 2024.