Quantifying the Impact of Land Use and Land Cover Change on Moisture Recycling With Convection‐Permitting WRF‐Tagging Modeling in the Agro‐Pastoral Ecotone of Northern China

Abstract

Land use and land cover change (LUCC) can influence the regional atmospheric water budget. In this study, the Weather Research and Forecasting model embedded with evapotranspiration (ET)‐tagging (WRF‐tagging) is used to investigate the atmospheric pathways of ET as well as where and to what extent ET returns as precipitation (P) in the agro‐pastoral ecotone of northern China (APENC). First, we updated the default land use and vegetation indices in the WRF‐tagging with high‐resolution and real‐time datasets. WRF‐tagging modeling reproduces the spatial distribution of P and ET reasonably after updating surface characteristics. Second, we analyzed and quantified the contribution of ET to atmospheric moisture and regional P in the APENC. The water vapor originating as ET is advected in the atmosphere below 600 hPa to hundreds of kilometers by the prevailing winds. Moisture recycling shows that 5.83% of P comes from local ET during the growing season in the core region of the APENC. Furthermore, to quantify the impact of LUCC on moisture recycling, we designed two different vegetation scenarios (Afforestation and Degradation) by changing land use and vegetation indices in the model. Results show that the precipitation recycling ratio increased to 6.31% in the Afforestation scenario, and decreased to 5.19% in the Degradation scenario, demonstrating the non‐neglectable positive feedback of vegetation on P. An analysis of land surface‐precipitation feedback processes indicates that the LUCC‐induced change in precipitation efficiency dominates P changes. Our findings highlight the importance of LUCC on local and regional moisture recycling in the APENC.

Effects of irrigation‐induced surface thermodynamics changes on wind speed in the Heihe River basin, Northwest China

“…The WRF model is an open‐source community model developed jointly by the National Center for Atmospheric Research (NCAR), the National Oceanic and Atmospheric Administration (NOAA), and other universities and institutions. Currently, the WRF model is the state‐of‐the‐art mesoscale numerical model and has been applied to the numerical weather forecast (He et al, 2013; Lin & Pu, 2019), regional climate modelling (Knist et al, 2020; Meng et al, 2018; Taraphdar et al, 2021) and land–atmosphere interactions simulations (Li et al, 2022b; Wang et al, 2023; Zhang et al, 2023). In this study, the simulation domain covers the entire HRB (Figure 1b), with a spatial resolution of 3 km by 3 km.…”