NCCOS Ecological Effects of Sea Level Rise in the Northern Gulf of Mexico (EESLR-NGOM): Mean High Water and Salt Marsh Productivity (Hydro-MEM) (NCEI Accession 0170338)

This dataset contains salt marsh productivity projections under different sea level rise scenarios for the northern Gulf of Mexico (Florida panhandle, Alabama, and Mississippi) using a coupled hydrodynamic-marsh model called Hydro-MEM (Alizad et al. 2016a and 2016b). The modeled outputs were derived through integrated modeling of tidal hydrodynamics (ADCIRC) and marsh productivity (Marsh Equilibrium Model, or MEM) that incorporates dynamic feedbacks among physical and biological processes. The Hydro-MEM model incorporates biological feedback by including the MEM accretion formulation, while also implementing a friction coefficient effect that varies between subtidal and intertidal states. The Hydro-MEM model is capable of capturing the biophysical feedback that modifies relative salt marsh elevation and the biological feedback on hydrodynamics (Alizad et al. 2016a).

There are two types of Hydro-MEM model outputs resulting from the Ecological Effects of Sea Level Rise Northern Gulf of Mexico (EESLR-NGOM) project: 1) Salt Marsh Productivity (Low/Medium/High) [202MB total file size, 919 files (unzipped)] and 2) Mean High Water [431 MB total file size, 137 files (unzipped)]. These outputs were generated for areas surrounding the following National Estuarine Research Reserves: Apalachicola (FL), Weeks Bay (AL), and Grand Bay (MS). Each Hydro-MEM model output, described above, is provided for incremental time steps (5 or 20Y) for the following 5 sea level rise scenarios (Parris et al. 2012): Initial Condition (no change from c. 2000 mean sea level (MSL)), Low (+0.2m from MSL), Intermediate-Low (+0.5m from MSL), Intermediate-High (+1.2m from MSL), and High (+2.0m from MSL). Mean high water data are provided for each SLR scenario for two timesteps (2050 and 2100).

本数据集包含墨西哥湾北部（佛罗里达狭长地带、阿拉巴马州、密西西比州）不同海平面上升情景下的盐沼生产力预测结果，采用的是名为Hydro-MEM的耦合水动力-沼泽模型（Alizad等人，2016a；2016b）。模型输出通过潮汐水动力学（ADCIRC）与沼泽生产力（沼泽平衡模型，Marsh Equilibrium Model，简称MEM）的集成建模获得，该建模整合了物理与生物过程之间的动态反馈。Hydro-MEM模型通过纳入MEM淤积公式以整合生物反馈，同时实现了潮下带与潮间带状态间变化的摩擦系数效应。该模型能够捕捉到改变相对盐沼高程的生物物理反馈，以及对水动力学的生物反馈（Alizad等人，2016a）。

墨西哥湾北部海平面上升生态效应项目（Ecological Effects of Sea Level Rise Northern Gulf of Mexico，简称EESLR-NGOM）产生的Hydro-MEM模型输出包含两类：1）盐沼生产力（低/中/高）[总文件大小202MB，解压后919个文件]；2）平均高潮位[总文件大小431MB，解压后137个文件]。这些输出针对以下国家河口研究保护区周边区域生成：阿巴拉契科拉（佛罗里达州）、威克斯湾（阿拉巴马州）、格兰德湾（密西西比州）。上述每个Hydro-MEM模型输出均对应5种海平面上升情景（Parris等人，2012）的增量时间步长（5年或20年）：初始条件（相对于约2000年平均海平面（mean sea level，简称MSL）无变化）、低（MSL以上+0.2m）、中低（MSL以上+0.5m）、中高（MSL以上+1.2m）、高（MSL以上+2.0m）。平均高潮位数据针对每个SLR情景（海平面上升，sea level rise）的两个时间步（2050年和2100年）提供。