five

Tides and Inflows in the Mangrove Ecotone (TIME) Model Development

收藏
DataONE2016-10-29 更新2024-06-26 收录
下载链接:
https://search.dataone.org/view/25f87ee7-5006-42fc-b914-d9a5c8648a64
下载链接
链接失效反馈
官方服务:
资源简介:
The Tides and Inflows in the Mangrove Ecotone (TIME) project entails a study of the transition region using a coupled surface-water/groundwater model and the collection and analysis of data in support of that modeling effort. This project entails incorporation, into the TIME surface-water model, the understandings gleaned from the Southern and Inland Coastal Systems (SICS) study conducted in the Taylor Slough and C-111 Canal basins of Everglades National Park. Specifically, vegetative resistance and meteorological forcing process-study results are being incorporated into the TIME model. Because of the high demand for data in the parameterization of these results, this project also involves the assembly, storage and distribution of all time-variable data sets used to drive, calibrate and test the TIME surface-water model. The TIME Model Development project is focused on further developing, extending and implementing a mathematical model to study the interaction between wetland sheet flows and dynamic forces in the transition zone between the southern Everglades and its coastal embayments. The model will be used to study and evaluate the combined response of hydroperiods in the wetlands and salinities in the mangrove ecotone to inflow alterations. The major product of the TIME Model Development project will be a sound, physically-based, fine-resolution (500m) model of the Everglades National Park area of the Everglades consistent with the Across Trophic Level System Simulation models that can be used as a research tool and management model to study and evaluate ecosystem response to regulatory decisions. Through analysis of model results for varied inflows, cause and effect relationships to ecosystem functions and sustainability can be investigated to evaluate and guide restoration actions. Any external dynamic factors that could adversely affect restoration objectives can be identified and demonstrated. Data collected in support of the model development will be made available for dissemination via the Internet and scientific findings will be reported in traditional peer-reviewed literature as appropriate.
创建时间:
2016-10-29
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作