Model:GNE

GNE

Also known as
Model type	Modular
Model part of larger framework
Note on status model
Date note status model

Spatial dimensions
Spatial extent
Model domain
One-line model description	Set of biogeochemical sub-models that predicts river export
Extended model 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.

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	United States
Email address	sybil@marine.rutgers.edu
Phone	732-932-6555
Fax	732-932-1792

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

Mayorga, Harrison

Source code

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