Our study in Nature Climate Change is the first to consider the policy positioning of university-based energy centers using a “text as data” approach. Analyzing one million+ sentences, we find that reports written by fossil-funded centers are more favorable towards natural gas than renewables.

GW exhibits differences at continental scales. We show that CMIP6 models underestimate warming unevenness, possibly leading to a biased estimation of anthropogenic influence on warming. We find that SAT changes over China more sensitive to external forcing owing to stronger long-range persistence.

Together with 12 other colleagues from 13 institutions, across 8 countries and with different scientific backgrounds, we just completed an analysis on vulnerability of coastal African Heritage sites to climate change. Here we discuss our experience and the main outcomes of our efforts.

In modeling climate change mitigation alongside sustainable economic development, integrated assessment models need to take into account the qualitative features of growth in developing countries, including the massive energy demand that comes along with industrialization