The study simulates Arctic climate warming and icefield retreat during the Last Interglaciation (LIG), using a global climate model, a dynamic ice sheet model, and paleoclimatic data. The results show that the Greenland Ice Sheet and other Arctic ice fields likely contributed 2.2 to 3.4 meters of sea-level rise during the LIG. The simulated climate matches paleoclimatic observations, indicating that the Arctic experienced significantly warmer temperatures and reduced ice cover during the LIG. The study highlights the sensitivity of the Arctic climate system to anomalous forcing and the importance of accurately simulating future Arctic conditions. Over the past 30 years, Arctic temperatures have risen 0.5°C per decade, and sea ice has declined by 7.7% per decade. Climate models project Arctic warming of 0.7°C to 4.4°C and a reduction of Arctic sea ice by up to 65% by the time of atmospheric CO₂ doubling. Paleorecords indicate much warmer Arctic summers during the LIG, with evidence of extensive open water north of Alaska, expanded boreal forests, and reduced ice cover in Greenland. Climate simulations using the NCAR Community Climate System Model (CCSM) show good agreement with paleoclimatic data, indicating significant summer warming in the Arctic, with temperatures exceeding 4°C in some regions. The simulations show that the reduction of sea ice and warmer North Atlantic Ocean lead to increased warming in Greenland. The simulated ice sheet retreat results in significant sea-level rise, with the minimum contribution of 2.2 m and maximum of 3.4 m during the LIG. The study confirms that the NCAR climate model captures key aspects of Arctic sensitivity to LIG forcing, with simulated summer warming up to 5°C and sea-ice retreat of 50%. The results indicate that the Arctic likely contributed up to 3.4 m of sea-level rise during the LIG, and that future Arctic warming could have substantial impacts on the environment if predicted climate change comes to pass. The study also highlights the importance of incorporating vegetation feedbacks in climate models to better understand past and future Arctic conditions.The study simulates Arctic climate warming and icefield retreat during the Last Interglaciation (LIG), using a global climate model, a dynamic ice sheet model, and paleoclimatic data. The results show that the Greenland Ice Sheet and other Arctic ice fields likely contributed 2.2 to 3.4 meters of sea-level rise during the LIG. The simulated climate matches paleoclimatic observations, indicating that the Arctic experienced significantly warmer temperatures and reduced ice cover during the LIG. The study highlights the sensitivity of the Arctic climate system to anomalous forcing and the importance of accurately simulating future Arctic conditions. Over the past 30 years, Arctic temperatures have risen 0.5°C per decade, and sea ice has declined by 7.7% per decade. Climate models project Arctic warming of 0.7°C to 4.4°C and a reduction of Arctic sea ice by up to 65% by the time of atmospheric CO₂ doubling. Paleorecords indicate much warmer Arctic summers during the LIG, with evidence of extensive open water north of Alaska, expanded boreal forests, and reduced ice cover in Greenland. Climate simulations using the NCAR Community Climate System Model (CCSM) show good agreement with paleoclimatic data, indicating significant summer warming in the Arctic, with temperatures exceeding 4°C in some regions. The simulations show that the reduction of sea ice and warmer North Atlantic Ocean lead to increased warming in Greenland. The simulated ice sheet retreat results in significant sea-level rise, with the minimum contribution of 2.2 m and maximum of 3.4 m during the LIG. The study confirms that the NCAR climate model captures key aspects of Arctic sensitivity to LIG forcing, with simulated summer warming up to 5°C and sea-ice retreat of 50%. The results indicate that the Arctic likely contributed up to 3.4 m of sea-level rise during the LIG, and that future Arctic warming could have substantial impacts on the environment if predicted climate change comes to pass. The study also highlights the importance of incorporating vegetation feedbacks in climate models to better understand past and future Arctic conditions.