Influence of Terrestrial Nitrogen Dynamics on Mesoscale Near‐Surface Meteorological Fields

作者：Xitian Cai, Y. Cao, Guo Zhang, Jingjing Liang, Hui Zheng, Kai Li, Zhenzhong Zeng, Yongjiu Dai, Zong‐Liang Yang · 发表于：Journal of Geophysical Research Atmospheres · 年份：2024 · DOI：10.1029/2023jd040168 · 被引用次数：4 · 研究领域：Meteorological Phenomena and Simulations、Climate variability and models、Atmospheric and Environmental Gas Dynamics

Abstract The influence of biogeochemical cycles, particularly the nitrogen cycle, on near‐surface meteorological fields is a critical yet understudied aspect of regional climate modeling. Neglecting such interactions may compromise the accurate representation of vegetation growth and hydrological processes in climate models, consequently affecting the simulated regional near‐surface climate conditions. In order to quantify such effects, we coupled the nitrogen‐augmented Noah‐MP land surface model with the Weather Research and Forecasting (WRF) model v4.1.2 (hereafter WRF‐CN) for regional climate modeling. Compared to the default WRF simulation without nitrogen dynamics, the WRF‐CN simulated net primary productivity, gross primary productivity (GPP), and leaf area index (LAI) were all higher in the study region. Because WRF underestimated the observed GPP and LAI due to the fixed nitrogen limitation of plant growth, these higher estimations improved WRF‐CN's performance in modeling GPP and LAI, which translated into improved simulations of near‐surface climate. Specifically, for the 2‐m air temperature, compared to WRF, WRF‐CN reduced the mean absolute error and root mean square error by 14.45% and 14.19%, respectively, while increased the Nash‐Sutcliffe efficiency coefficient by 7.23%, with the most pronounced improvements in the regions dominated by croplands. Our findings shed light on the crucial interactions between biogeochemical processes and near‐surface meteorological...