Understanding past climate variability is essential for predicting future climatic conditions in a global warming scenario This task is particulary challenging because it involves multiple interacting factors, including atmospheric dynamics, oceanic currents, variations in solar radiation, and human influences. For reliable climate reconstruction using lake sediments, the testing and calibration of proxy response have proven to be an excellent tool in order to decipher the process controlling sediment transportation and deposition within the lake basin in response to climate variability on varied time scales in the region. However, due to the non-stationarity of the proxy response, it is often difficult to develop a consistent and universal proxy, leading to challenges in interpreting long-term climatic trends with high precision. Therefore, it is important to develop a comprehensive understanding of the field-lab-data approach for reconstructing long-term climate variability.
The session focuses on the application of various climate-sensitive proxies (e.g., pollen, lipid biomarkers, organic and inorganic geochemistry, isotopes) and techniques in lake sediments for understanding of climate variability over a wide temporal range. In this session we invite contributions from researchers working with the multiproxy approach for understanding past and present climatic conditions and discuss the uncertainties associated with proxy data for climate reconstruction. This session will help researchers to better understand (i) the strengths and limitations of various climate-sensitive proxies; (ii) the methodologies for integrating multiproxy data to create more robust climate reconstructions; (iii) the challenges in interpreting proxy data due to non-stationarity and regional variability; and (iv) the potential advancements in analytical techniques that could improve the precision and accuracy of climate reconstructions.