Model:GNE

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GNE

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Summary Contact Technical specs In/Output Process Testing Other Component info Also known as Model type Modular Model part of larger framework Note on status model Date note status model Keywords: biogeochemistry, water quality, Name Sybil Seitzinger Type of contact Project manager Institute / Organization Rutgers - Institute of Marine & Coastal Sciences Postal address 1 71 Dudley Rd. Postal address 2 Town / City New Brunswick Postal code 08901-85 State New Jersey Country USA"USA" is not in the list (Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, ...) of allowed values for the "Country" property. Email address sybil@marine.rutgers.edu Phone 732-932-6555 Fax 732-932-1792 Name Emilio Mayorga Type of contact Model developer Institute / Organization Postal address 1 Postal address 2 Town / City Postal code State Country Email address Phone Fax Name John Harrison Type of contact Model developer Institute / Organization Postal address 1 Postal address 2 Town / City Postal code State Country Email address Phone Fax Supported platforms Linux, Windows Other platform Programming language Python Other program language Code optimized Single Processor Multiple processors implemented Nr of distributed processors Nr of shared processors Start year development 2002 Does model development still take place? Yes If above answer is no, provide end year model development Code development status When did you indicate the 'code development status'? Model availability As code Source code availability (Or provide future intension) Through web repository Source web address http://www.marine.rutgers.edu/globalnews/GNE/ Source csdms web address Program license type Other Program license type other -- Memory requirements minimal Typical run time less than 1 minute after preprocessing Describe input parameters 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. Input format ASCII, Binary Other input format Describe output parameters 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. Output format ASCII Other output format Pre-processing software needed? No Describe pre-processing software Post-processing software needed? No Describe post-processing software Visualization software needed? Yes If above answer is yes ESRI, IDL, Matlab Other visualization software Most GIS software Describe processes represented by the model 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). Describe key physical parameters and equations 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. Describe length scale and resolution constraints Limited by resolutn of input & river systems data; basins < 20,000 km2 currently poorly represented Describe time scale and resolution constraints Operates at annual scale; monthly-seasonal time steps are being explored. Describe any numerical limitations and issues Concerns about extrapolations beyond range of data used for model calibration and parameterization. Describe available calibration data sets Calibration data consist of compilations of river N, P, Si and C annual yields by form. Upload calibration data sets if available: Describe available test data sets Global (GEMS-GLORI), regional, national and literature compilations. A subset used for validation. Upload test data sets if available: Describe ideal data for testing Robust river nutrient fluxes near the mouth representative of annual, contemporary conditions. Do you have current or future plans for collaborating with other researchers? Model is the result of an international collaboration that is a UNESCO-IOC workgroup (Global NEWS). Is there a manual available? Yes Upload manual if available: Model website if any http://www.marine.rutgers.edu/globalnews/ Model forum / discussion board Comments 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. This part will be filled out by CSDMS staff OpenMI compliant No but possible BMI compliant No but possible WMT component Not yet"Not yet" is not in the list (Yes, In progress, No but possible, No not possible) of allowed values for the "Code CMT compliant or not" property. PyMT component Is this a data component Can be coupled with:

Model info Authors Sybil Seitzinger Mayorga, Harrison Source code Go to external source code site Model citations Nr. of publications: 33 Total citations: 3772 h-index: 24 m-quotient: 1.14 QR-code Link to this page Other models by author GNE