five

Data for Ocean biogeochemical fingerprints of fast-sinking tunicate and fish detritus

收藏
Mendeley Data2024-05-10 更新2024-06-28 收录
下载链接:
https://zenodo.org/records/8431830
下载链接
链接失效反馈
官方服务:
资源简介:
Model results for the manuscript, "Ocean biogeochemical fingerprints of fast-sinking tunicate and fish detritus", under peer review at Geophysical Research Letters. Model outputs for: 1) the GZ-COBALT control simulation, 2) the GZ-COBALT simulation with fast-sinking tunicate detritus only, 3) the GZ-COBALT simulation with fast-sinking fish ("hp") detritus only, and 4) the GZ-COBALT simulation with both fast-sinking tunicate and fish ("hp") detritus. The following files are included for all 4 simulations: Model grid and area fields ocean_annual_static.nc ocean_static.nc Monthly 100-m integrated fluxes (in Nitrogen unless specified otherwise; a Redfield C:N ratio is used) Aggregation loss from: Small and large phytoplankton, large tunicates Detritus production by: Small, medium, and large zooplankton, small and large tunicates, higher predators (hp) [expt]_ocean_cobalt_fluxes_int_1988-2007.clim.tar.gz Other monthly 100-m integrated fluxes Carbon detritus sinking flux past 100-m Integrated primary production [expt]_ocean_cobalt_omip_2d.1988-2007.clim.tar.gz Monthly detritus fluxes past 100-m: Nitrogen detritus sinking flux past 100-m [expt]_ocean_cobalt_fdet_100.1988-2007.clim.tar.gz Monthly bottom fluxes: Nitrogen detritus sinking flux to bottom Nitrogen detritus burial flux Sediment oxic remineralization flux of nitrogen detritus [expt]_ocean_cobalt_btm.1988-2007.clim.tar.gz Annual 3-D tracers: Nitrate Dissolved oxygen Phosphate [expt]_ocean_cobalt_omip_tracers_year_z_1988-2007.nc Annual 3-D fluxes: Carbon detritus sinking flux [expt]_ocean_cobalt_omip_rates_year_z_1988-2007.nc Hypoxic volume time series: Total volume of water below 60 mmol O2 Total volume of water below 5 mmol O2 [expt]_hypoxicVolume.ts.tar.gz Note that files ending in .tar.gz need to be unzipped and extracted first. All data files are in netCDF format. Python codes for reproducing the figures in the manuscript are available on github: https://github.com/jessluo/gz_COBALT_fastPOC_analysis
创建时间:
2023-11-02
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