Outputs from a Regional Ocean Modeling System (ROMS) prototype coupled physical-biogeochemical simulation of the Mid-Atlantic Bight and Gulf of Maine for 2007-2013

a 6-year simulation of the coastal ocean and adjacent deep sea of the northeast u.s. continental shelf has been computed using the regional ocean modeling system (roms) coupled to a biogeochemical (bgc) model of nitrogen and carbon cycling. the simulation covers the period 1-jan-2007 to 30-dec-2013 on a 7-km horizonal grid with 40 vertical terrain-following s-coordinate levels. the physical circulation model is as described by lopez et al. (2020) and is forced by regional meteorological analyses, observed daily river discharges, and open boundary information from the copernicus marine environmental monitoring service (cmems) global analysis augmented by harmonic tides. the ocean biogeochemical model is an adaptation of druon et al. (2010) as described by feng et al. (2015) and lopez (2020). the bgc model state variables are concentrations of no3, nh4, chlorophyll, phytoplankton and zooplankton biomass, large and small detritus (n and c fractions), semilabile doc and don, total inorganic carbon, alkalinity and dissolved oxygen. additional diagnostic bgc model terms that are archived are air-sea fluxes of o2 and co2, ocean surface pco2, primary productivity (nitrogen and carbon), nitrate uptake, carbon flux to the seafloor, carbon and nitrogen burial, and benthic denitrification.the files available for direct download here are examples only. the full simulation comprises more than 150 gb of data as daily averages on the native roms coordinate grid and is made openly accessible via a thredds (thematic real-time environmental distributed data services) web service that supports geospatial and temporal sub-setting. all roms model outputs are in netcdf format and the data and metadata follow cf-conventions for the description of coordinates and variables.the physical and bgc model state variables are at: https://tds.marine.rutgers.edu/thredds/catalog/roms/doppio/catalog.html?dataset=doppio_1d_bgc_oa_013_averages .the bgc model diagnostic terms are at: https://tds.marine.rutgers.edu/thredds/catalog/roms/doppio/catalog.html?dataset=doppio_1d_bgc_oa_013_diagnostics..these simulation results underpinned recent work of wright-fairbanks et al. (2024) on sea scallop responses to ocean acidification.references:druon, j.-n., a. mannino, s. signorini, c. mcclain, m. friedrichs, j. wilkin and k. fennel (2010), modeling the dynamics and export of dissolved organic matter in the northeastern u.s. continental shelf, estuarine and coastal shelf science, 88, 488-507. https://doi.org/10.1016/j.ecss.2010.05.010feng, y., m. friedrichs, j. wilkin, h. tian, q. yang, e. hofmann, j. wiggert and r. hood (2015), chesapeake bay nitrogen fluxes derived from a land-estuarine-ocean biogeochemical modeling system: model description, evaluation, and nitrogen budgets, journal of geophysical research biogeosciences, 120, https://doi.org/10.1002/2015jg002931lópez, a. g., (2020), modeling the circulation and timescales of the mid-atlantic bight and gulf of maine, phd thesis, pp.147, rutgers university, https://doi.org/doi:10.7282/t3-d1e6-jz61lópez, a. g., j. l. wilkin and j. levin, (2020), doppio – a roms (v3.6)-based circulation model for the mid-atlantic bight and gulf of maine: configuration and comparison to integrated coastal observing network observations, geosci. model dev., 13, 3709–3729, https://doi.org/10.5194/gmd-13-3709-2020wright-fairbanks, e., munroe, d., hunter, e., wilkin, j., and saba, g.k. (2024), meta-analysis of larval bivalve growth in response to ocean acidification and its application to sea scallop larval dispersal in the mid-atlantic bight. estuaries and coasts, in press

通过对美国东北大陆架沿海海域及其邻近深海区域进行为期六年的模拟，本研究采用了区域海洋模式系统（ROMS）与氮碳循环的生物地球化学（BGC）模型相结合的方法。模拟时间范围覆盖了2007年1月1日至2013年12月30日，以7公里水平网格和40层垂直地形跟随的s坐标水平进行。物理环流模型如Lopez等（2020）所述，并受到区域气象分析、每日河流排放观测数据和由Copernicus海洋环境监测服务（CMEMS）全球分析及调和潮汐信息增强的开放边界信息的驱动。海洋生物地球化学模型是基于Druon等（2010）的研究成果，并如Feng等（2015）和Lopez（2020）所述进行改编。BGC模型的状态变量包括硝酸根、铵、叶绿素、浮游植物和浮游动物生物量、大和小碎屑（氮和碳分数）、半稳定性的溶解有机碳和氮，以及总无机碳、碱度和溶解氧。此外，还存档了其他诊断BGC模型项，如氧气和二氧化碳的空气-海面通量、海洋表面二氧化碳浓度、初级生产力（氮和碳）、硝酸盐摄取、碳通量至海底、碳和氮埋藏以及底栖反硝化作用。可供直接下载的文件仅为示例。完整的模拟数据集包含超过150GB的每日平均值数据，以ROMS原生坐标网格格式提供，并通过支持地理空间和时间子集设置的THREDDS（主题实时环境分布式数据服务）网络服务公开访问。所有ROMS模型输出均采用NetCDF格式，数据和元数据遵循CF公约对坐标和变量的描述。物理和BGC模型状态变量可在以下网址获取：https://tds.marine.rutgers.edu/thredds/catalog/roms/doppio/catalog.html?dataset=doppio_1d_bgc_oa_013_averages。BGC模型诊断项可在以下网址获取：https://tds.marine.rutgers.edu/thredds/catalog/roms/doppio/catalog.html?dataset=doppio_1d_bgc_oa_013_diagnostics。这些模拟结果为Wright-Fairbanks等（2024）关于海洋酸化对海扇响应的近期研究提供了基础。参考文献：Druon, J.-N. 等（2010），《美国东北大陆架溶解有机质的动态和输出模型》，Estuarine and Coastal Shelf Science，88，488-507。https://doi.org/10.1016/j.ecss.2010.05.010；Feng, Y. 等（2015），《从陆地-河口-海洋生物地球化学模式系统中提取切萨皮克湾氮通量：模型描述、评估和氮预算》，Journal of Geophysical Research Biogeosciences，120，https://doi.org/10.1002/2015jg002931；López, A. G.（2020），《模拟中大西洋湾和缅因湾的环流和时间尺度》，博士论文，第147页，Rutgers大学，https://doi.org/doi:10.7282/t3-d1e6-jz61；López, A. G. 等（2020），《Doppio - 一个基于ROMS（v3.6）的中大西洋湾和缅因湾环流模型：配置和与综合海岸观测网络观测结果的比较》，Geosci. Model Dev.，13，3709–3729，https://doi.org/10.5194/gmd-13-3709-2020；Wright-Fairbanks, E. 等（2024），《海洋酸化对幼体双壳类生长的元分析及其在中大西洋湾海扇幼体扩散中的应用》，Estuaries and Coasts，in press。