Data for Global ecological and biogeochemical impacts of pelagic tunicates
Authors/Creators
- 1. NOAA/OAR Geophysical Fluid Dynamics Laboratory
- 2. School of Biological, Earth and Environmental Sciences, University of New South Wales
- 3. NOAA/NMFS Office of Science and Technology
Description
Model results and observational validation data for "Global ecological and biogeochemical impacts of pelagic tunicates."
Model outputs for 1) the COBALTv2 control simulation, 2) the GZ-COBALT base simulation, and the five sensitivity experiments in the following files:
Model grid and area fields
- ocean_annual_static.nc
- ocean_static.nc
Monthly ocean surface fields
- Nitrate, phosphate, silica, chlorophyll
- [expt]_ocean_cobalt_omip_sfc.1988-2007.clim.tar.gz
Monthly water column integrated fields
- primary production
- [expt]_ocean_cobalt_omip_2d.1988-2007.clim.tar.gz
Monthly 100-m integrated tracer fields
- Small and large phytoplankton, diazotrophs, small, medium, and large zooplankton, small and large tunicate, bacteria
- Dissolved organic nitrogen
- Nitrogen detritus
- [expt]_ocean_cobalt_tracers_int.1988-2007.clim.tar.gz
Monthly 100-m integrated fluxes
- Production of:
- Small and large phytoplankton, diazotrophs, small, medium, and large zooplankton, small and large tunicate, bacteria
- Loss to zooplankton from:
- Small and large phytoplankton, diazotrophs, bacteria, small and medium zooplankton, small and large tunicates
- Aggregation loss from:
- Small and large phytoplankton, large tunicates
- Injestion by:
- Small, medium, and large zooplankton, small and large tunicates, higher predators
- Detritus production by:
- Small, medium, and large zooplankton, small and large tunicates, higher predators
- [expt]_ocean_cobalt_fluxes_int_1988-2007.clim.tar.gz
Monthly detritus fluxes past 100-m:
- [expt]_ocean_cobalt_fdet_100.1988-2007.clim.tar.gz
Annual 3-D tracers:
- Phytoplankton and zooplankton carbon
- Mesozooplankton and tunicate carbon
- [expt]_ocean_cobalt_omip_tracers_year_z_1988-2007.nc
Observational data compilation in 1-degree grid cells:
- Data compilation of small tunicates (appendicularians, mg C m-3) and large tunicates (thaliaceans, mg C m-3) as described in the Luo et al. publication.
- Mesozooplankton from the COPEPOD carbon biomass dataset in mg C m-3 (Moriarty and O'Brien 2012).
- The chlorophyll growing season mean (from GlobColour data product, blended in the Southern Ocean with Johnson et al. 2013), in units of mg Chl m-3.
- The tunicate column is a simple addition of the appendicularian + thaliacean column, assuming missing values are zero (use with caution).
- Please note that these values do not incorporate the 10x biomass adjustment from net-based sampling; this must be added in afterwards.
- ObsCompilation_SmLgTunicates_Mesozooplankton.csv
See the below publication for more details:
Luo, Jessica Y., Stock, C. A., Henschke, N., Dunne, J. P., O'Brien, T. D., Global ecological and biogeochemical impacts of pelagic tunicates. Progress in Oceanography. (2022) doi:10.1016/j.pocean.2022.102822
Files
ObsCompilation_SmLgTunicates_Mesozooplankton.csv
Files
(5.8 GB)
| Name | Size | |
|---|---|---|
|
md5:5fc2fde4343a58bf556e89d5314efdb4
|
11.6 MB | Download |
|
md5:b61bb91e127e3654f60c628570ae7e98
|
312.9 MB | Download |
|
md5:2e51e5d470e60d69d62e3265f5eaa4be
|
11.6 MB | Download |
|
md5:46590a33bed0a75635a36b596b848782
|
46.4 MB | Download |
|
md5:ff7b2b89dfd12784f9249a82d47fac22
|
290.3 MB | Download |
|
md5:27418cb29fa76e787ca7f5b64fc8fdc7
|
125.0 MB | Download |
|
md5:af1bf92102a6cbe6d89531d5c4f32415
|
11.6 MB | Download |
|
md5:2784baad1ce45fb7dd1f8018b9986dec
|
371.2 MB | Download |
|
md5:7667278c782ca63a07750fbdda5de0b7
|
11.6 MB | Download |
|
md5:d64ff0f57189a511debedb84c3ca1082
|
46.5 MB | Download |
|
md5:44ed80550ed682e1e0e0b7e654eb06a6
|
290.3 MB | Download |
|
md5:2bb8d9e27b885231a617f4d85b481a6f
|
126.1 MB | Download |
|
md5:cee08b4d660cee6af3b58425bd8d91bc
|
11.6 MB | Download |
|
md5:37ba53cadb1bc3621f807e02b2de7438
|
363.2 MB | Download |
|
md5:022e5717fb1d62a74efd7a5a19ceef39
|
11.6 MB | Download |
|
md5:f372003aa3bdbe34622095a20f24389a
|
46.4 MB | Download |
|
md5:57db40ee67a28b4102f6a7d3c2b9adda
|
290.3 MB | Download |
|
md5:a4f75545f6af6f65fec4264cd1062f93
|
126.0 MB | Download |
|
md5:485d0d75ff0a7a024ff0c6eaee257c36
|
11.6 MB | Download |
|
md5:f4a06136bc821e4aa9b0608880495253
|
371.8 MB | Download |
|
md5:f9e5d6a152e887349534a71d177aa1b8
|
11.6 MB | Download |
|
md5:14ebe9002b26be46b74620bdd5f164b2
|
46.4 MB | Download |
|
md5:bdf09e85c2c5c9d6a1c64384c46c8f0e
|
290.3 MB | Download |
|
md5:8633b62d0b0b9ac221a8395e72e9364d
|
11.6 MB | Download |
|
md5:3fd65e43c2eb97941ad239ac53ee7fef
|
370.8 MB | Download |
|
md5:ea967ea01581f3c1e424f4c3e673e250
|
11.6 MB | Download |
|
md5:f1c40cbe51285a1f321c45cd45f68c47
|
46.5 MB | Download |
|
md5:6cf234657c384ccdda14cd2bde192060
|
290.3 MB | Download |
|
md5:3a8e8b91227f487b212b330d8ccfbdb4
|
126.0 MB | Download |
|
md5:27a07d4d714e86e72b26f03b1351556c
|
11.6 MB | Download |
|
md5:79d713d42ea772ecedab44789e2b8772
|
369.8 MB | Download |
|
md5:45d0b84aa1a4ae6dab506d0670aa8a8e
|
11.6 MB | Download |
|
md5:3214c7f2c2f9eef6a80fef34d6ecc9f3
|
46.4 MB | Download |
|
md5:370e2b31aa6ea3dbfc53b8d33103de05
|
290.3 MB | Download |
|
md5:c9eafea11a1c862eda74fda25dab43a3
|
126.1 MB | Download |
|
md5:2be6f9971481833b46aa55965feca923
|
11.6 MB | Download |
|
md5:bef4e820094f739de3f102383a44e706
|
359.6 MB | Download |
|
md5:bf0dab11b804aa7981aa77be572dfeac
|
11.6 MB | Download |
|
md5:b06537f8e27889531483909bd1d62f24
|
46.5 MB | Download |
|
md5:382be9c13cac145a2ddd11a05eaf93d3
|
290.3 MB | Download |
|
md5:1c93dc5c5dac26496f803ecc754285fa
|
126.0 MB | Download |
|
md5:1cdff1c34f53b9aefd6c87c50d71ef29
|
1.6 MB | Preview Download |
|
md5:d5a1f5cbc9308be40cf63a03ba919063
|
5.0 MB | Download |
|
md5:3b2ee07ba74a824b01a9fb5488da7f50
|
5.0 MB | Download |
Additional details
Related works
- Is referenced by
- Journal article: 10.1016/j.pocean.2022.102822 (DOI)