The coupled confluence and storage (peak) distributed hydrological model is a hybrid modeling strategy, which was recently developed by Oklahoma University（ http://hydro.ou.edu ）And NASA's servir project team. Crest simulates the temporal and spatial variations of water and energy fluxes and storage on user-defined regular cells, so it can be applied at global and regional scales. The scalability of crest simulation is to represent the storage capacity of soil moisture (using a variable infiltration curve) and runoff generation process (using a linear reservoir) through a sub grid scale. Crest model was originally designed to provide relatively coarse resolution global flood prediction on the Internet, but it is also applicable to small scale, such as single basin. Crest model can be affected by potential evapotranspiration and precipitation grid point data sets, such as satellite precipitation estimation, grid rain gauge observation, remote sensing platform, such as weather radar, numerical weather forecast model from quantitative precipitation prediction model. The representative infiltration and routing of main water fluxes are closely related to the spatial variables of surface characteristics (i.e., vegetation, soil type, topography). The coupling of runoff generation components and confluence schemes provides a simulation of the interaction between the atmosphere, surface and groundwater.

Loadest model is a software for estimating River component load. The estimation of pollutant flux is a simple method to master the river transport load, which can provide a scientific basis for the total amount control of river basin. Based on the continuous water quantity data and discrete water quality data, the pollutant flux regression equation is established to estimate the pollutant flux under different time scales (day / month / season / year). In addition, the model also considers the situation of censored water quality data, It is an effective way to estimate the pollutant flux of low frequency water quality monitoring river

One dimensional River Stuart model

The common land surface model was developed by scientists interested in land model for public use and further development. The main characteristics of the model include sufficient non-uniform interlayer to fully represent soil temperature and soil moisture, and multi-layer parameterization of snow process; clear treatment of liquid water and ice water quality in snow soil system; runoff parameterization under the concept of topmeod; a canopy photosynthetic conductivity model, which describes the simultaneous transfer of carbon dioxide and water vapor in plants; and a model of canopy photosynthesis conductivity; The sub grid fraction of energy and water balance is tiled. CLM has been widely evaluated in offline mode and coupled with the NCAR community climate model (CCM3).

The process of energy flow and material circulation in the soil vegetation atmosphere system controls the microclimate environment of vegetation growth, which has an important impact on the growth of vegetation. At the same time, the exchange of energy and water between the surface and the atmosphere determines the intensity and stability of turbulence and diffusion in the boundary layer, and controls the lower boundary conditions of the climate system such as wind speed, temperature and humidity- Vegetation atmosphere transport model is very important to study and forecast climate change, hydrological cycle and ecological environment dynamics. J. W. Deardorff put forward the concept of "big leaf", added a layer of vegetation to the land surface simulation, and began to consider the ecological hydrological process of vegetation, thus forming the prototype of SVAT model. Isba is an interaction model among soil, biosphere and atmosphere, which was proposed by J. noilhan in 1989. It is used to simulate the exchange of heat, mass and momentum between land or water surface and upper atmosphere. The model is applied to the so-called independent development model. In the coupled model, the model provides lower boundary conditions for the atmospheric numerical weather forecast model, or higher boundary conditions for the distributed hydrological model.

Ice and ACE were developed by the U.S. Environmental Protection Agency in collaboration with other federal agencies, industry and universities to address data gaps in species sensitivity and reduce reliance on uncertainties in ecological risk assessment.