Evaluating Noah-MP Groundwater Representation Against Water-Energy-Vegetation Observations in China

In this study, water‑table depths were simulated using the Noah‑MP land surface model (Version 5.0). The model source code is available at https://ral.ucar.edu/model/noah‑multiparameterization‑land‑surface‑model‑noah‑mp‑lsm and https://github.com/NCAR/noahmp, subject to the software’s license and terms of use. Accordingly, only the configuration file namelist.hrldas adopted for water‑table‑depth simulations in this study is provided herein. Attached are the datasets and Python code for the study entitled Evaluating Noah‑MP Groundwater Representation Against Water‑Energy‑Vegetation Observations in China. The NetCDF files (e.g., ZWT_2000.nc) contain monthly Noah‑MP‑simulated water‑table depth (ZWT) across China for 2000‑2023. These simulations adopt the groundwater‑enabled configuration (Option 5) and GLDAS forcing. The Python code implements analytical workflows for water‑table variability, its impacts on soil moisture, surface heat fluxes, and vegetation dynamics, as well as result visualization for this manuscript.