GNE

Set of biogeochemical sub-models that predicts river export. 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.

biogeochemistrywater quality

Alias

Global NEWS

Contributor(s)

Initial contribute: 2021-09-07

Authorship

:  
Rutgers - Institute of Marine & Coastal Sciences
:  
sybil@marine.rutgers.edu
Is authorship not correct? Feed back

Classification(s)

Application-focused categoriesNatural-perspectiveOcean regions
Application-focused categoriesIntegrated-perspectiveGlobal scale

Detailed Description

English {{currentDetailLanguage}} English

This model was developed as part of an international interdisciplinary effort to model river export of multiple bioactive elements (C, N, P , and Si) and elemental forms (dissolved/particulate, inorganic/organic) called Global Nutrient Export from Watersheds (Global NEWS).

Global NEWS is a global, spatially explicit, multi-element and multi-form model of nutrient exports by rivers. The NEWS 2 model was implemented in a Python framework – the Global NEWS modeling Environment (GNE) – developed for the Millennium Ecosystem Assessment scenarios project described here. A description of GNE and user documentation are available at: http://www.marine.rutgers.edu/globalnews/GNE.

NEWS 2 model code consistent with the terminology presented here, together with sample configuration and input and output files, are available at this web site. An earlier version of the model code was used to produce the results described here.

NEWS 2 is the first global, spatially explicit model to assess river export of multiple nutrients in a consistent way. It includes improved and unified representation of river basins, model

formulations and model inputs. A strength of NEWS 2 is that nutrient form sub-models have been implemented in a fully integrated fashion to analyze past and future trends, ensuring consistency in model inputs and calculations. Nutrient sub-models remain approximately as robust as NEWS 1 sub-models while providing additional capabilities and more consistent drivers. NEWS 2 can serve as an effective tool to analyze the effects of policies to reduce negative coastal impacts at regional from basin nutrient exports at regional to global scales. Here, we discuss ongoing and potential future enhancements.

The Global NEWS model evolved from a focus on basin-scale inputs and export of nutrients to the coast. However, improvements in the representation of spatially distributed watershed inputs and retention mechanisms along the path from terrestrial sources to the river mouth are enabling more complex analyses of the large-scale, coupled transformations and fate of nutrient forms. Constraining the generation and retention of nutrients forms from land to river systems to the coast at regional to continental scales remains a significant challenge. NEWS 2 represents an important contribution in this regard. Further enhancements will likely require addressing spatial heterogeneities within basins.

For principles and details on the GNE model, see the literature: "Global Nutrient Export from WaterSheds 2 (NEWS 2): Model development and implementation".

 

模型元数据

{{htmlJSON.HowtoCite}}

Sybil Seitzinger, Emilio Mayorga, John Harrison (2021). GNE, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/5e65c58b-4b03-4ea2-bd38-c65e6d2c429d
{{htmlJSON.Copy}}

Contributor(s)

Initial contribute : 2021-09-07

{{htmlJSON.CoContributor}}

Authorship

:  
Rutgers - Institute of Marine & Coastal Sciences
:  
sybil@marine.rutgers.edu
Is authorship not correct? Feed back

History

Last modifier
Yihan Zhang
Last modify time
2021-09-18
Modify times
View History

QR Code

×

{{curRelation.overview}}
{{curRelation.author.join('; ')}}
{{curRelation.journal}}









{{htmlJSON.RelatedItems}}

{{htmlJSON.LinkResourceFromRepositoryOrCreate}}{{htmlJSON.create}}.

Drop the file here, orclick to upload.
Select From My Space
+ add

{{htmlJSON.authorshipSubmitted}}

Cancel Submit
{{htmlJSON.Cancel}} {{htmlJSON.Submit}}
{{htmlJSON.Localizations}} + {{htmlJSON.Add}}
{{ item.label }} {{ item.value }}
{{htmlJSON.ModelName}}:
{{htmlJSON.Cancel}} {{htmlJSON.Submit}}
名称 别名 {{tag}} +
系列名 版本号 目的 修改内容 创建/修改日期 作者
摘要 详细描述
{{tag}} + 添加关键字
* 时间参考系
* 空间参考系类型 * 空间参考系名称

起始日期 终止日期 进展 开发者
* 是否开源 * 访问方式 * 使用方式 开源协议 * 传输方式 * 获取地址 * 发布日期 * 发布者



编号 目的 修改内容 创建/修改日期 作者





时间分辨率 时间尺度 时间步长 时间范围 空间维度 格网类型 空间分辨率 空间尺度 空间范围
{{tag}} +
* 类型
图例


* 名称 * 描述
示例描述 * 名称 * 类型 * 值/链接 上传


{{htmlJSON.Cancel}} {{htmlJSON.Submit}}
Title Author Date Journal Volume(Issue) Pages Links Doi Operation
{{htmlJSON.Cancel}} {{htmlJSON.Submit}}
{{htmlJSON.Add}} {{htmlJSON.Cancel}}

{{articleUploading.title}}

Authors:  {{articleUploading.authors[0]}}, {{articleUploading.authors[1]}}, {{articleUploading.authors[2]}}, et al.

Journal:   {{articleUploading.journal}}

Date:   {{articleUploading.date}}

Page range:   {{articleUploading.pageRange}}

Link:   {{articleUploading.link}}

DOI:   {{articleUploading.doi}}

Yes, this is it Cancel

The article {{articleUploading.title}} has been uploaded yet.

OK
{{htmlJSON.Cancel}} {{htmlJSON.Confirm}}
LzmmjSkouXag