Past climate and environmental data provide critical tests of global and regional climate models. While there are a small number of high profile records, such as the Greenland ice cores, which are critical for informing on the dynamic nature of past climate change, determining the nature of regional to local scale climate impacts is key to understanding the complexities of climate change. INTIMATE brings together scientists and international experts to focus on developing innovative past climate reconstruction tools and methods.

INTIMATE is an open network and our activities cover a wide range of topics and formats. We particularly value the contribution of early career researchers in the network and run a biennial summer school "An INTIMATE Example", which brings together new and existing members of a network in a collaborative research and training environment. These themes are central to INTIMATE’s research - follow the links to find out more:

Quantitative climate reconstructions: derived from the robust integration of data from ice-core, marine, and terrestrial records. Regional compilations provide reference datasets for testing climate models and exploring climate impacts in sensitive environments.

Development of chronological tools: high-resolution dating and precise correlation of palaeoclimate records on their independent chronologies is essential in resolving patterns of centennial to millennial climate change.

Modelling mechanisms of past climate change: Using combined ice core, terrestrial, and marine data sets to optimize methodologies to evaluate model simulations and make data-model comparisons.

Data-model comparisons: collaboration between scientists generating detailed proxy-based reconstructions and those building models of past climate provides critical assessment of our toolkits and leads to a better understanding of the mechanisms of regional and global change.

Determining climate impacts: investigating the timing, rates, spatial variability and impacts of past climate change, on a range of scales, from single species to complex ecosystems.