The East Asian Summer Monsoon (EASM) is a major component in Asian climate. It is largely driven by climatic factors such as humidity, solar insolation and temperature. For at least 50 years the EASM has been studied extensively by scientists regarding its current strength. Models have been recreating past monsoon intensity as well as attempted to predict future intensity. As the monsoon undergoes changes, the climatic shifts responsible for them leave various traces behind; geochemical as well as biological, and these have been preserved and recorded in various locales on the planet. The most significant climatic change is the variation between glacial and interglacial periods which have been alternating for the last 2.6 million years and the EASM has changed in tune with the climate during this time. The EASM follows the δ18O-record in speleothems found in Eastern Asia as well as in ice cores from Greenland. Various geochemical and biological tracers seem to reflect these fluctuations in climate locally as well as globally over a 200 kyr period. The current intensity of the EASM seems to be one of decreasing strength, a phase that has persisted since the Holocene climatic optimum 8.5 kyr ago. Recently however a decrease in the East Asian Winter Monsoon has been confirmed, indicating an increase in EASM intensity. During the Holocene the EASM reached peak intensity during the Holocene climatic optimum but has fluctuated largely in tune with solar insolation. This is also true for the Eemian period although some events such as the mid-Eemian cooling show that factors other than solar insolation regulate monsoon intensity over large time periods. The future of the EASM seems to be one of increased strength due to climate change and models predict both increased wind speeds and an increasing occurrence of extreme precipitation despite decreasing solar insolation.

A primary goal of paleoclimatology is to extend the instrumental record to capture a wider range of natural variability, documenting the climate system's response to past changes that have no analog in the historical record. Sediment archives of the recent geologic past, both marine and lacustrine, offer the opportunity to study how climate responds to a range of forcings and changing boundary conditions on timescales ranging from years to millennia. In this dissertation I use lacustrine and marine sediment to investigate changes late Quaternary climate, with particular focus on the Last Interglacial period (LIG). First, I use multiple approaches to reconstruct long-term changes in the West African Monsoon by investigating centennial-scale hydrologic variability recorded in Lake Bosumtwi sediments over the past 530,000 years. Over this interval, hydrology in the region is driven by a complex interplay of orbital forcing and glacial-interglacial boundary conditions. Lake level was generally much lower between 50 and 300 ka, likely due to the redistribution of rainfall from the tropics to the subtropics, driven by eccentricity's amplification of precession. Consequently, the Holocene highstand at the lake was both larger and longer lived than the maximum highstand during the LIG.Annual layers were continuously deposited through the LIG in Lake Bosumtwi, and I also present a new, 12,100 year-long, varve record spanning the interval from 128.6 to 116.5 ka. Over the course of the LIG, lake level generally tracks sea surface temperatures (SST) in Gulf of Guinea, including an abrupt drop in lake level that lasted about 500 years ca. 118 ka, coincident with cool SSTs in the North Atlantic and severe aridity in Europe. I find that the despite the generally drier conditions, hydrology varied on similar timescales as the late Holocene, with pronounced multidecadal to centennial-scale variability with non-stationary periodicities. I also investigate the contribution of ocean thermal expansion to sea level rise during the LIG, using a synthesis of paleoceanographic data and a climate model simulation. Globally, LIG SSTs were similar to, or slightly cooler than late Holocene SSTs, with the exception of the North Atlantic, which was several degrees warmer. Consequently, thermal expansion was likely a minor component of sea level rise during the interval, explaining between -0.3 and 0.4 m. of the 6 to 8 m highstand. Lastly, I tested the potential of Raman spectroscopy as a new, non-destructive technique to rapidly measure oxygen isotopic ratios in carbonates at extremely high resolution. Analyses on a suite a synthetic calcites indicate that ¹⁸O/¹⁶O ratios can be measured directly from the Raman spectra and have a 1:1 correspondence with traditional mass-spectrometry measurements. At present, the technique does not have the precision necessary to record natural variability, although there is considerable potential for improving the precision of the technique.

L’évolution future de la calotte groenlandaise est une préoccupation sociétale majeure de par sa contribution potentielle à la remontée du niveau marin global. Elle est contrôlée par la dynamique de la glace et les conditions climatiques. Sa modélisation est un véritable défi à cause du manque de données disponibles à l’échelle de la calotte, et des processus d’interactions climat-calotte à très fine échelle. Pour mieux comprendre le rôle du Groenland dans le système climatique, j’ai d’abord développé une méthode d’inversion pour obtenir des conditions initiales fiables du modèle de glace GRISLI.J’ai ensuite appliqué cette procédure au couplage de GRISLI avec un modèle atmosphérique régional (MAR). J’ai alors montré que la représentation des interactions atmosphère – calotte est essentielle pour ne pas sous-estimer la remontée du niveau marin dans les projections pluri-centennales. Enfin, nous avons appliqué ces modèles au dernier interglaciaire (130 – 115 ka), période chaude au cours de laquelle le niveau marin était 6-9 m plus haut qu’à l’actuel. Ce travail montre que l’apport de la régionalisation des champs atmosphériques grande échelle est nécessaire pour la représentation des interactions climat – calottes. / The evolution of the Greenland ice sheet in the future is a major societal issue, given its potential contribution to global sea level rise. The ice sheet is controlled by ice dynamics and climate conditions. Its modelling is a challenge due to the lack of data covering the whole ice sheet and the fine scale of the interaction processes between the ice sheet and the atmosphere. To improve our understanding of the role of the Greenland ice sheet in the climate system, I have first developed an inverse method to obtain appropriate initial conditions for the GRISLI ice sheet model. I then applied this procedure for coupling the MAR regional atmospheric model to GRISLI. I have shown that representing atmosphere – ice sheet interactions at fine scales is essential to avoid underestimating global sea level rise in multi-centennial future projections. Finally, I have used the same models to study the last interglacial (130 – 115 ky BP), which is a warm period during which the sea-level was 6 to 9 m higher than today. My work shows that downscaling large scale model outputs at the regional scale is required to represent climate – ice sheet interactions.

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