Model:GNE: Difference between revisions

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{{Infobox Model
{{Model identity
|model name              = GNE
|Model type=Modular
|developer                = '''Seitzinger''', Sybil
|one-line-description    = Set of biogeochemical sub-models that predicts river export
|type                     = Model
|source                  = [[image:Red1.png]]
}}
}}
{{Model identity2
|ModelDomain=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.
}}
{{Start model keyword table}}
{{Model keywords
|Model keywords=biogeochemistry
}}
{{Model keywords
|Model keywords=water quality
}}
{{End a table}}
{{Modeler information
|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.
|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
}}
{{Additional modeler information
|Additional first name=Emilio
|Additional last name=Mayorga
|Additional type of contact=Model developer
}}
{{Additional modeler information
|Additional first name=John
|Additional last name=Harrison
|Additional type of contact=Model developer
}}
{{Model technical information
|Supported platforms=Linux, Windows
|Programming language=Python
|Code optimized=Single Processor
|Start year development=2002
|Does model development still take place?=Yes
|Model availability=As code
|Source code availability=Through web repository
|Source web address=http://www.marine.rutgers.edu/globalnews/GNE/
|Program license type=Other
|Program license type other=--
|Memory requirements=minimal
|Typical run time=less than 1 minute after preprocessing
}}
{{Input - Output description
|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
|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
|Pre-processing software needed?=No
|Post-processing software needed?=No
|Visualization software needed?=Yes
|If above answer is yes=ESRI, IDL, Matlab
|Other visualization software=Most GIS software
}}
{{Process description model
|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.
}}
{{Model testing
|Describe available calibration data sets=Calibration data consist of compilations of river N, P, Si and C annual yields by form.
|Describe available test data sets=Global (GEMS-GLORI), regional, national and literature compilations. A subset used for validation.
|Describe ideal data for testing=Robust river nutrient fluxes near the mouth representative of annual, contemporary conditions.
}}
{{Users groups model
|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).
}}
{{Documentation model
|Manual model available=Yes
|Model website if any=http://www.marine.rutgers.edu/globalnews/
}}
{{Additional comments model
|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.
}}
{{CSDMS staff part
|OpenMI compliant=No but possible
|CCA component=No but possible
|IRF interface=No but possible
|CMT component=No but possible
}}
{{Start coupled table}}
{{End a table}}
{{End headertab}}
{{{{PAGENAME}}_autokeywords}}
<!-- Edit the part above to update info on other papers -->
<!-- Edit the part above to update info on other papers -->


== GNE ==
__TOC__
===Introduction===
=== History ===
=== Papers ===
=== GNE Questionnaire ===
==== Contact Information ====
{| class="wikitable"
| class="model_col1"| Model:
| class="model_col2"| Global NEWS / GNE
|-
| class="model_col1"| Contact person:
| class="model_col2"| Sybil Seitzinger
|-
| class="model_col1"| Institute:
| class="model_col2"| Rutgers - Institute of Marine & Coastal Sciences
|-
| class="model_col1"| City:
| class="model_col2"| New Brunswick, NJ
|-
| class="model_col1"| Country:
| class="model_col2"| USA
|-
| class="model_col1"| Email:
| class="model_col2"| sybil@marine.rutgers.edu
|-
| class="model_col1"| 2nd person involved:
| class="model_col2"| Emilio Mayorga (Developer)
|-
| class="model_col1"| 3rd person involved:
| class="model_col2"| John Harrison (Developer)
|}
==== Model description ====
{| class="wikitable" 
| class="model_col1"| Model type:
| class="model_col2"| Single model for the terrestrial and coastal domain.
|-
| class="model_col1"| Description:
| class="model_col2"| 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 ====
{| class="wikitable" 
| class="model_col1"| Supported platforms:
| class="model_col2"| Linux, Windows
|-
| class="model_col1"| Programming language:
| class="model_col2"| Python
|-
| class="model_col1"| Model was developed started from:
| class="model_col2"| 2002 and development still takes place
|-
| class="model_col1"| To what degree will the model become available:
| class="model_col2"| As code, as teaching tool
|-
| class="model_col1"| Current license type:
| class="model_col2"| --
|-
| class="model_col1"| Memory requirements:
| class="model_col2"| minimal
|-
| class="model_col1"| Typical run time:
| class="model_col2"| less than 1 minute after preprocessing
|}
==== Input / Output description ====
{| class="wikitable" 
| class="model_col1"| Input parameters:
| class="model_col2"| 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.
|-
| class="model_col1"| Input format:
| class="model_col2"| ASCII, Binary
|-
| class="model_col1"| Output parameters:
| class="model_col2"| 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.   
|-
| class="model_col1"| Output format:
| class="model_col2"| ASCII
|-
| class="model_col1"| Post-processing software (if needed):
| class="model_col2"| no
|-
| class="model_col1"| Visualization software (if needed):
| class="model_col2"| yes, out_ESRI, IDL, Matlab, Most GIS software
|}
==== Process description ====
{| class="wikitable" 
| class="model_col1"| Processes represented by model:
| class="model_col2"| 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).
|-
| class="model_col1"| Key physical parameters & equations:
| class="model_col2"| 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.
|-
| class="model_col1"| Length scale & resolution constraints:
| class="model_col2"| Limited by resolutn of input & river systems data; basins < 20,000 km2 currently poorly represented
|-
| class="model_col1"| Time scale & resolution constraints:
| class="model_col2"| Operates at annual scale; monthly-seasonal time steps are being explored.
|-
| class="model_col1"| Numerical limitations and issues :
| class="model_col2"| Concerns about extrapolations beyond range of data used for model calibration and parameterization.
|}
==== Testing ====
{| class="wikitable" 
| class="model_col1"| Available calibration data sets:
| class="model_col2"| Calibration data consist of compilations of river N, P, Si and C annual yields by form.
|-
| class="model_col1"| Available test data sets:
| class="model_col2"| Global (GEMS-GLORI), regional, national and literature compilations. A subset used for validation.
|-
| class="model_col1"| Ideal data for testing:
| class="model_col2"| Robust river nutrient fluxes near the mouth representative of annual, contemporary conditions.
|}
==== User groups ====
{| class="wikitable" 
| class="model_col1"| Currently or plans for collaborating with:
| class="model_col2"| Model is the result of an international collaboration that is a UNESCO-IOC workgroup (Global NEWS).
|}
==== Documentation ====
{| class="wikitable" 
| class="model_col1"| Key papers of the model:
| class="model_col2"| Papers published in Global Biogeochem. Cycles listed on Global NEWS website; code not published yet.
|-
| class="model_col1"| Is there a manual available:
| class="model_col2"| yes
|-
| class="model_col1"| Model website if any:
| class="model_col2"| [http://www.marine.rutgers.edu/globalnews/ http://www.marine.rutgers.edu/globalnews/]
|}
==== Additional comments ====
{| class="wikitable" 
| class="model_col1"| Comments:
| class="model_col2"| 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 ===
==Introduction==


=== Input Files ===
== History ==


=== Output Files ===
== References  ==
<br>{{AddReferenceUploadButtons}}<br><br>
{{#ifexist:Template:{{PAGENAME}}-citation-indices|{{{{PAGENAME}}-citation-indices}}|}}<br>
{{Include_featured_references_models_cargo}}<br>


=== Download ===
== Issues ==


=== Source ===
== Help ==
{{#ifexist:Model_help:{{PAGENAME}}|[[Model_help:{{PAGENAME}}]]|}}


== Input Files ==


[[Category:Terrestrial]]
== Output Files ==
[[Category:Coastal]]

Latest revision as of 19:14, 16 September 2020



GNE


Metadata

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 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,

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


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 No but possible
PyMT component
Is this a data component
Can be coupled with:
Model info
Authors
Sybil Seitzinger
Mayorga, Harrison
Source code
Model citations
Nr. of publications: 33
Total citations: 3772
h-index: 24
m-quotient: 1.14
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Link to this page
Other models by author




Introduction

History

References



Nr. of publications: 33
Total citations: 3772
h-index: 24
m-quotient: 1.14



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)		2005 GNE
 Model overview 652
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)		2010 GNE
WBM-WTM
 Model overview 188
See more publications of GNE


Issues

Help

Input Files

Output Files

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