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The Last Glacial Maximum extent of the North American Ice Sheets is well constrained empirically but has proven to be challenging to simulate with coupled Climate‐Ice Sheet models. Coupled Climate‐Ice Sheet models are often too computationally expensive to sufficiently explore uncertainty in input parameters, and it is unlikely that values calibrated to reproduce modern ice sheets will reproduce the known extent of the ice at the Last Glacial Maximum. To address this, we run an ensemble with a coupled Climate‐Ice Sheet model (FAMOUS‐ice), simulating the final stages of growth of the last North American Ice Sheets' maximum extent. Using this large ensemble approach, we explore the influence of numerous uncertain ice sheet albedo, ice sheet dynamics, atmospheric, and oceanic parameters on the ice sheet extent. We find that ice sheet albedo parameters determine the majority of uncertainty when simulating the Last Glacial Maximum North American Ice Sheets. Importantly, different albedo parameters are needed to produce a good match to the Last Glacial Maximum North American Ice Sheets than have previously been used to model the contemporary Greenland Ice Sheet due to differences in cloud cover over ablation zones. Thus, calibrating coupled climate‐ice sheet models on one ice sheet may produce strong biases when the model is applied to a new domain. Plain Language Summary: At the peak of the last ice age, an ice sheet covered much of North America. The extent of this ice sheet is well‐understood after decades of intensive data collection, but producing a computer simulation of the ice sheet which matches our observations has been a challenge. This is partly because of uncertainty about the "correct" model set‐up to create the best simulation, and partly because the computer models used in the simulations require large computing resources. In this paper, we present a series of simulations of the North American Ice Sheet at the peak of the last ice age using a fast‐running computer model in which the atmosphere and ice sheets interact. We run hundreds of simulations to tackle the uncertainty about the optimum values for unknown input parameters. We find that the model's representation of how reflective the ice sheet surface is has the most impact on the size and shape of the simulated ice sheet. Importantly, the parameter values that produce the best simulations of modern‐day Greenland produce poor simulations of the North American Ice Sheets during the last ice age, calling into question whether the parameters chosen for modern Greenland are appropriate from simulating ice sheets under different conditions. Key Points: Simulating the Last Glacial Maximum North American Ice Sheets successfully requires de‐tuning the coupled Climate‐Ice Sheet model FAMOUS‐iceAfter running a large ensemble, we identify multiple acceptable simulations of the LGM North American Ice SheetThe LGM North American cloud cover revealed overtuned albedo parameters to compensate for modern Greenland cloud biases [ABSTRACT FROM AUTHOR]

The cause of a rapid change in Atlantic Ocean circulation and northern cooling at the onset of Heinrich Stadial 1 ~18.5 ka is unclear. Previous studies have simulated the event using ice sheet and/or iceberg meltwater forcing, but these idealized freshwater fluxes have been unrealistically large. Here we use a different approach, driving a high‐resolution drainage network model with a recent time‐resolved global paleo‐ice sheet reconstruction to generate a realistic meltwater forcing. We input this flux to the Hadley Centre Coupled Model version 3 (HadCM3) climate model without adjusting the timing or amplitude and find that an acceleration in northern ice sheet melting (up to ~7.5 m/kyr global mean sea level rise equivalent) triggers a 20% reduction in the Atlantic Meridional Overturning Circulation. The simulated pattern of ocean circulation and climate change matches an array of paleoclimate and ocean circulation reconstructions for the onset of Heinrich Stadial 1, in terms of both rates and magnitude of change. This is achieved with a meltwater flux that matches constraints on sea level changes and ice sheet evolution around 19–18 ka. Since the rates of melting are similar to those projected for Greenland by 2200, constraining the melt rates and magnitude of climate change during Heinrich Stadial 1 would provide an important test of climate model sensitivity to future ice sheet melt. Plain Language Summary: Atlantic Ocean circulation plays a key role in redistributing heat around Earth's surface, and thus has an important influence on our climate. Because of this, sudden shifts in Atlantic Ocean circulation can drive rapid climate changes. One such example is at the onset of "Heinrich Stadial 1", 18.5 thousand years ago, when geological records show that Atlantic circulation weakened and the Northern Hemisphere cooled while the Southern Hemisphere warmed. At the time, huge ice sheets (several kilometers thick) covered much of North America and northern Europe. Climate model results suggest that the freshwater produced by these melting ice sheets is responsible for weakening the Atlantic Ocean circulation and triggering the abrupt climate changes captured in the geological records. This result helps to elucidate the complex interaction between ice sheets, ocean circulation, and climate, and how these interactions can lead to sudden shifts in climates of the past and, potentially, the future. Indeed, the rate of melting we adopt in the present model is comparable to the melting projected for the Greenland Ice Sheet by 2200. Key Points: The simulated pattern of ocean circulation and climate change matches records of the transition to Heinrich Stadial 1 ~18.5 kaThe rate of meltwater needed to drive this change (<7.5 mm/year global mean sea level rise equivalent) is much less than previously usedThe forcing is consistent with accelerated Eurasian ice sheet melting 19–18 ka, providing the likely cause of Heinrich Stadial 1 [ABSTRACT FROM AUTHOR]

Archival, formalin-fixed, paraffin-embedded cervical cancer specimens from 53 Alaska natives, 32 Greenland natives and 34 Danish Caucasians were analyzed for human papillomavirus (HPV) genotypes 16, 18, 31, 33, 35 and 45 and unidentified genotypes (HPV X) using PCR. The specimens were from the time period 1980-1989. No significant differences were observed in the overall HPV detection rates among cases from Alaska (98.1%), Greenland (84.4%) and Denmark (85.3%). HPV genotype 16 was the most prevalent type: 78.8% in Alaska natives, 96.3% in Greenland natives and 82.8% in Danish Caucasians. A prevalence of 21.2% HPV 31 and 30.8% HPV 33 was found in Alaska natives, of which most were coinfections with HPV 16. Only 3.7% HPV 31 and 3.7% HPV 33 were found in Greenland natives and no HPV 31 and 6.9% HPV 33 were found in Danish Caucasians. HPV 18 was only detected in Alaska natives and HPV 35 and 45 were not detected in any of the three populations. Infections with multiple genotypes were prevalent in Alaskan (36.5%) but not in Greenland natives (3. 7%) and Danish Caucasians (6.9%). The Eskimo subgroup of the Alaska native population has a significantly higher prevalence of HPV genotypes 31 and 33 associated with mixed infections in invasive cancer than the two other native subgroups (P = 0.04) and Greenland and Danish populations, reflecting genotype distributions in dysplasia and normal cervical cytology. The reason for HPV genotype diversity, although unknown, may be relevant to the current development of HPV vaccines.