Emulators—algorithms that fill data gaps—are traditionally used to project average temperatures and precipitation. This work shows that efficient emulators can substitute for costly simulations over a wide range of extreme indices.
Soil microbial communities produced more water retaining molecules when enriched with insoluble organic carbon, chitin, compared to a soluble carbon source, N-acetylglucosamine.
PNNL researchers used the Global Change Analysis Model (GCAM) to explore 15 different global scenarios that consisted of combinations of five different socioeconomic futures and four different climatic futures.