Summary
| Also known as
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| Model type
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Modular
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| Model part of larger framework
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| Note on status model
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| Date note status model
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Technical specs
| Supported platforms
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Linux, Windows
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| Other platform
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| Programming language
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Python
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| Other program language
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| Code optimized
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Single Processor
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| Multiple processors implemented
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| Nr of distributed processors
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| Nr of shared processors
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| Start year development
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2002
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| Does model development still take place?
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Yes
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| If above answer is no, provide end year model development
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| Code development status
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| When did you indicate the 'code development status'?
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| Model availability
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As code
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Source code availability
(Or provide future intension)
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Through web repository
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| Source web address
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http://www.marine.rutgers.edu/globalnews/GNE/
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| Source csdms web address
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| Program license type
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Other
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| Program license type other
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--
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| Memory requirements
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minimal
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| Typical run time
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less than 1 minute after preprocessing
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In/Output
| Describe input parameters
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Source inputs consist of global, spatially distributed (GIS) raster datasets: hydrological properties (river basin systems, runoff, reservoirs, irrigation, rainfall), topographic slope, land use, agricultural N & P inputs (fertilizer, manure), atmospheric N deposition, sewage, N fixation, etc.
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| Input format
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ASCII, Binary
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| Other input format
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| Describe output parameters
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Primary outputs: N, P, Si, and C yields and loads by river basin and nutrient form. Secondary outputs: Source attribution by nutrient form and main natural and anthropogenic inputs to watersheds. Total Suspended Solids are also predicted.
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| Output format
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ASCII
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| Other output format
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| Pre-processing software needed?
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No
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| Describe pre-processing software
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| Post-processing software needed?
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No
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| Describe post-processing software
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| Visualization software needed?
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Yes
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| If above answer is yes
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ESRI, IDL, Matlab
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| Other visualization software
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Most GIS software
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Process
| Describe processes represented by the model
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Natural, agricultural, atmospheric, and direct human (sewage and P detergents) inputs; effect of hydrological functioning; generalized loss of nutrients in soils and groundwater; loss in rivers, reservoirs, and through consumptive water withdrawals (irrigation).
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| Describe key physical parameters and equations
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Net N & P land surface balance (from inputs, incl. atm. deposition) modulated with calibrated runoff relationships to estimate exports to streams; point sources calculated from socioecon. and sewage treatment information; reservoir and consumptive water withdrawal loss using physical relationships.
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| Describe length scale and resolution constraints
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Limited by resolutn of input & river systems data; basins < 20,000 km2 currently poorly represented
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| Describe time scale and resolution constraints
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Operates at annual scale; monthly-seasonal time steps are being explored.
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| Describe any numerical limitations and issues
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Concerns about extrapolations beyond range of data used for model calibration and parameterization.
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Testing
| Describe available calibration data sets
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Calibration data consist of compilations of river N, P, Si and C annual yields by form.
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| Upload calibration data sets if available:
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| Describe available test data sets
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Global (GEMS-GLORI), regional, national and literature compilations. A subset used for validation.
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| Upload test data sets if available:
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| Describe ideal data for testing
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Robust river nutrient fluxes near the mouth representative of annual, contemporary conditions.
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Other
| Do you have current or future plans for collaborating with other researchers?
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Model is the result of an international collaboration that is a UNESCO-IOC workgroup (Global NEWS).
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| Comments
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Particulates model is regression-based, while dissolved model is more conceptual-mechanistic. Conceptual framework and data sets in development since 2002. Integrated modeling code framework (GNE) developed in 2007; currently tested on Windows only, but can be easily adapted to other platforms.
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