Model:GNE

Contact

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

Edit Model information

GNE

Metadata

Summary Also known as Model type Modular Model part of larger framework Note on status model Date note status model Technical specs 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, As teaching tool Source code availability (Or provide future intension) Through owner"Through owner" is not in the list (Through web repository, Through CSDMS repository) of allowed values for the "Source code availability" property. Source web address Source csdms web address Program license type Other Program license type other -- Memory requirements minimal Typical run time less than 1 minute after preprocessing In/Output 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 Process 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. Testing 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. Other 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. GNE Introduction History Papers GNE Questionnaire Contact Information Model: Global NEWS / GNE Contact person: Sybil Seitzinger Institute: Rutgers - Institute of Marine & Coastal Sciences City: New Brunswick, NJ Country: USA Email: sybil@marine.rutgers.edu 2nd person involved: Emilio Mayorga (Developer) 3rd person involved: John Harrison (Developer) Model description Model type: Single model for the terrestrial and coastal domain. Description: A multi-element (N, P, Si, C), multi-form (particulate, dissolved, organic, inorganic) set of biogeochemical sub-models that predicts annual river exports to the coast as a function of basin-aggregated natural and human impact characteristics; GNE is a generic framework used to run the basin models. Technical information Supported platforms: Linux, Windows Programming language: Python Model was developed started from: 2002 and development still takes place To what degree will the model become available: As code, as teaching tool Current license type: -- Memory requirements: minimal Typical run time: less than 1 minute after preprocessing Input / Output description 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 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 Post-processing software (if needed): no Visualization software (if needed): yes, out_ESRI, IDL, Matlab, Most GIS software Process description Processes represented by 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). Key physical parameters & 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. Length scale & resolution constraints: Limited by resolutn of input & river systems data; basins < 20,000 km2 currently poorly represented Time scale & resolution constraints: Operates at annual scale; monthly-seasonal time steps are being explored. Numerical limitations and issues : Concerns about extrapolations beyond range of data used for model calibration and parameterization. Testing Available calibration data sets: Calibration data consist of compilations of river N, P, Si and C annual yields by form. Available test data sets: Global (GEMS-GLORI), regional, national and literature compilations. A subset used for validation. Ideal data for testing: Robust river nutrient fluxes near the mouth representative of annual, contemporary conditions. User groups Currently or plans for collaborating with: Model is the result of an international collaboration that is a UNESCO-IOC workgroup (Global NEWS). Documentation Key papers of the model: Papers published in Global Biogeochem. Cycles listed on Global NEWS website; code not published yet. Is there a manual available: yes Model website if any: http://www.marine.rutgers.edu/globalnews/ Additional comments 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. Issues Help Input Files Output Files Download Source