The CNMM-DNDC, which is developed by the authors, is a three-dimension (3D), high-resolution and process-oriented terrestrial hydro-biogeochemical model that fully couples the cycling processes of carbon (C), nitrogen (N), phosphorous (P) and water in terrestrial ecosystems at site, catchment, regional, or global scales. Here, this model is reviewed in terms of development background, basic ideals and theories, core scientific processes, characteristics and features, comprehensive functions, verification by observations, and preliminary applications at site, regional or catchment/basin scales. Since the publication of its first version in 2018, this model has undergone several scientific process improvements and function enhancements. As a result, the cycles of C, N, P elements and water have been fully coupled in this model through numerically linking a series of biogeochemical reactions of these life elements, and matter phase changes and mechanical movements, which are occurring in terrestrial earth surface systems. Wide validations with field comprehensive observations demonstrate that the CNMM-DNDC model can be generally applicable for long time 3D and “3H” integrative simulations of terrestrial ecosystems in different bioclimatic zones from tropical to boreal permafrost regions, wherein the “3H” is referred to high spatial, high temporal and high process resolutions. As this model is designed to well describe the biogeochemical transformations and the 3D movements of the three life elements and water at different (site, ecosystem, catchment/basin, regional or global) scales, available validations and preliminary applications so far have demonstrated its potential to simultaneously predict multiple variables to measure the sustainability in terms of the United Nations Sustainable Goals (SDGs). The predictable variables include at least hydraulic soil erosion, surface runoff and subsurface flow, leaching of water and C, N and P solutes, horizontal flows of dissolved and particle C, N and P substrates or matter, emissions of greenhouse gases (carbon dioxide, methane, and nitrous oxide) and gaseous N pollutants (ammonia and nitric oxide), ecosystem productivity, water evapotranspiration, and balances of energy, water, C, N and P. The CNMM-DNDC model is expected to provide advanced technical support of numerical simulation for the multiple-goal implementations of the SDGs, as it could be a) a robust tool for virtually experimental studies on complex processes at different scales and b) a core model of a decision supporting system to optimize carbon and environmental management.