Pism-pik model is developed by Potsdam Institute of climate impact to simulate large scale ice sheet shelf system. It comes from the parallel ice sheet model (bueler and brown, 2009). PISM v1.0 is open source with high resolution. Since 2011, it has been widely used as a tool for scientific research.

High resolution land data assimilation system (hrldas) is an off-line driving force of land surface model existing in weather research and prediction (WRF) model. Hrldas uses a combination of observational and analytical measurements (precipitation, solar and longwave radiation, and surface wind, humidity, and temperature) to drive land surface models to simulate the evolution of land surface conditions (e.g., soil moisture and temperature, snow, etc.). The system has been developed and can run on the WRF domain or multiple site locations.

The recess program is used to determine the decline index and determine the main decline curve from the analysis of runoff records.

At present, the plastic tarpaulin used in soil fumigation process has been proved to be able to penetrate into the fumigation steam and cause obvious loss to the atmosphere. New low permeability membranes are being developed to reduce fumigant emissions and improve efficacy. A fast, reliable and sensitive method is needed to measure the permeability of various membranes that may be used in new management practices. Filmpc provides a method for estimating the mass transfer coefficient (H) of fumigants in agricultural films. H is a measure of diffusion resistance. Unlike other permeability measurement methods, h is an attribute of film chemical combination, independent of the concentration gradient of the whole film. The model relies on a mass balance method, and adsorption and diffusion are carried out on the membrane. The results show that this method produces a sensitive and reproducible method for measuring membrane permeability.

Chemical mass balance model (CMB model) is one of several receptor models applied to air pollution source management. CMB model was first proposed by Miller, Friedlander and hidy in 1972, and formally named as chemical mass balance method by Cooper and Watson in 1980. It is an important method recommended by EPA to study the sources and contributions of PM10, PM2.5 and VOC.. The CMB model established by this method is the most studied and widely used receptor model in the practical work of source apportionment of atmospheric particulates. Chemical mass balance (CMB) model epa-cmbv8.2 is one of several receptor models applied to air quality problems in the past 20 years. Based on the least squares method of effective variance (EVLS), EPA supports CMB as a regulatory planning tool by approving a large number of state implementation plans (SIPS). CMB needs potential sources of analytical samples collected at a single receptor site and corresponding environmental data. CMB is an ideal tool for ideal local non reaching problems and has been proved to be a useful tool.

Esap-95 software package contains a series of site salinity modeling software programs for analyzing and predicting soil salinity information. Esap-95 software package currently contains three software programs: esap-rssd, ESAP calibrate and ESAP saltmapper. The esap-rssd program is designed to produce the best results of soil sampling designs from bulk soil conductivity surveys. Esapcalibrate program is designed to estimate stochastic (regression model) and deterministic (soil) theoretical basis) calibration equations; i.e. These equations are eventually used to predict the spatial values of one or more soil variables, derived from electrical conductivity measurements. ESAP saltmappercheng program can be used to produce high-quality 1D or 2D graphics, output electrical measurement data or predict soil variables.