Earth system models might overestimate the local plant productivity response to temperature–moisture extremes

作者：Moritz Adam, Elisa Ziegler, Björn Gonzalez, Nils Weitzel, Kira Rehfeld · 年份：2026 · DOI：10.5194/egusphere-2026-626 · 研究领域：Climate variability and models、Plant Water Relations and Carbon Dynamics、Remote Sensing in Agriculture

Abstract. Compound temperature-moisture extremes, such as droughts or hot-wet extremes, have a pronounced and sometimes long-lasting impact on vegetation productivity. Accurate simulation of the involved processes by emission-driven Earth system models (ESMs) is crucial for inferring future terrestrial carbon uptake. However, ESMs often exhibit biases in the frequency and intensity of climate and weather extremes. Their ability to reproduce observed impacts of extreme atmospheric conditions on gross primary productivity (GPP) is therefore unclear. Comprehensive assessments of the statistical link between compound events and vegetation productivity beyond individual regions or event types are rare. Here, we scrutinize the relationship between temperature-moisture extremes and exceptionally low or high vegetation productivity in two state-of-the-art ESMs, CESM2 and MPI-ESM1.2, and gauge their performance relative to observation-constrained data. We find that temperature-moisture extremes modulate vegetation productivity in observations and models. The global-scale strength and timing of the statistical relationship agree well between observation-based data and model output. However, this agreement deteriorates towards smaller spatial scales, especially in the low latitudes. Here, an overestimated coupling strength by both models, likely related to biased rates of soil moisture change, suggests potentially unrealistic evaporative feedbacks, exaggerated drainage, or inadequate ef...