Model:GNE

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GNE




Metadata

Also known as
Model type Modular
Model part of larger framework
Spatial dimensions
Spatial extent
Model domain Coastal, Terrestrial
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,


First name Sybil
Last name 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


First name Emilio
Last name Mayorga
Type of contact Model developer
Institute / Organization
Postal address 1
Postal address 2
Town / City
Postal code
State
Country
Email address
Phone
Fax


First name John
Last name 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 No but possible
PyMT component
Can be coupled with:
Model info
Sybil Seitzinger
Mayorga, Harrison
Citation indices GNE
Nr. of pubs: 30
Citations: 2310
h-index: 19
Qrcode GNE.png
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Introduction

History

References




Citation indices GNE
Nr. of pubs: 30
Citations: 2310
h-index: 19



Featured publication(s)YearModel describedType of ReferenceCitations
Seitzinger, S. P.; Harrison, J. A.; Dumont, Egon; Beusen, Arthur H. W.; Bouwman, A. F.; 2005. Sources and delivery of carbon, nitrogen, and phosphorus to the coastal zone: An overview of Global Nutrient Export from Watersheds (NEWS) models and their application: GLOBAL EXPORT OF C, N, AND P TO COASTAL SYSTEMS. Global Biogeochemical Cycles, 19, n/a–n/a. 10.1029/2005GB002606
(View/edit entry)
2005GNE
Model overview 455
Fekete, Balázs M.; Wisser, Dominik; Kroeze, Carolien; Mayorga, Emilio; Bouwman, Lex; Wollheim, Wilfred M.; Vörösmarty, Charles; 2010. Millennium Ecosystem Assessment scenario drivers (1970-2050): Climate and hydrological alterations: GLOBAL NEWS HYDROLOGY. Global Biogeochemical Cycles, 24, n/a–n/a. 10.1029/2009GB003593
(View/edit entry)
2010GNE
WBM-WTM
Model overview 143
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