The P2F project is composed of four scientific work streams (WSs) defined by key challenges in climate modelling. The fifth work stream covers the Outreach and Management of the project.
A short description of each scientific work streams can be found below. For a overview of the P2F project, please have a look at our general poster.
WS1: Earth system model evaluation and improvement
Evaluate and improve Earth System Models through paleoclimate constraints. Our ambition is to radically advance Earth System models (ESMs) by integrating paleoclimate data into their development cycle, establishing a new paradigm for CMIP (Coupled Model Intercomparison Project). This involves improving models and tuning them using past conditions to produce more robust future climate projection.
WS2: Paleo data: observations, proxies, timeseries
We aim to compile, integrate and re-evaluate paleoclimate data from five key climate system components: atmospheric CO2-concentration, ice sheet (sea level) and sea ice extent, ocean temperatures, and the terrestrial vegetation, for key sites and time intervals. The resulting data is crucial for the evaluation and tuning of climate models, contributing to more robust future climate predictions.
WS3: Theory: analysis, validation and methods
We will develop advanced theoretical methods for climate change analysis, model validation and tuning. This includes studying climate response, feedbacks, and tipping points using response theory. We will create efficient model spin-up techniques, providing the theoretical basis for understanding variability in models and paleo data.
WS4: Regional impacts, local effects of large-scale climate changes
We aim to better understand and quantify climate change impacts on the terrestrial biosphere, carbon cycle, and societies. By advancing Machine Learning techniques for bias correction and downscaling climate model outputs we seek to enable novel data-model comparisons to examine ecosystem responses, abrupt changes, and extremes, as well as climate impact on past societies.
