Published September 1, 2021 | Version v1
Dataset Open

Modelled isoscape data for: "Oceanographic and biogeochemical drivers cause divergent trends in the nitrogen isoscape in a changing Arctic Ocean"

  • 1. Department of Earth, Ocean and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom
  • 2. Leibniz Institute for Baltic Sea Research, Warnemünde, 18119 Rostock, Germany
  • 3. Department of Earth, Ocean and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom.

Description

The data included in this repository includes the biogeochemical model output of nitrogen isotope fields. These data were generated by simulations with the NEMOv4.0 Ocean General Circulation Model, SI3 sea ice model, and Pelagic Interactions Scheme for Carbon and Ecosystem Studies version 2 (PISCESv2) biogeochemical model. Nitrogen isotopes were integrated within PISCESv2 for the purpoes of this study.

All data here are in longitude, latitude and time cordinates. No depth coordinate is provided as all values are averaged over the upper 100 metres of the model.

 

The file names mean the following:
 

ETOPO - refers to how the curvilinear, native grid of the model was re-gridded to a regular 360x180 longitude-latitude grid uisng the etopo60 coordinate system.

JRA55 - these are the reanalysis-driven simulations, for which we used the Japanese Atmospheric Reanalysis (JRA55do).

future - these are the emissions-driven simulations (historical from 1850-2005, then according to Representative Concentration Pathway 8.5 from 2006-2100.)

picontrol - these are parallel to the emissions-driven simulations but do not include the increase in emissions.

ndep - refers to if the historical increase in anthropogenic nitrogen deposition was included in the simulation

d15Nno3 - isotopic composition of nitrate averaged over the upper 100 metres

d15Npom - isotopic composition of particulate organic matter averaged over the upper 100 metres

predictors - the average values of salinity, N* and particulate organic matter over the upper 100 metres

annualave - annual averages, so that the data are inter-annual

1970-1990ave_months - average monthy values over the period 1970-1990.

Files

Files (1.1 GB)

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md5:6f654cd085e7ca2bd27f41c31b1a9637
130.1 MB Download
md5:a21eea9f5073a9a41658f677e83f05a5
130.1 MB Download
md5:298aa8fe14c6d00b22d99320e1ec7fc7
390.4 MB Download
md5:4fa4e812d314ea42d9d7aa77a90cdeaf
6.2 MB Download
md5:33664b9e866dcd69b5e7941a9f458a36
25.9 MB Download
md5:72206fe2702b0393c51dca39b741a501
6.2 MB Download
md5:ce7e4ce57c9efe96d419dc0767d1cf3b
6.2 MB Download
md5:99b978807917b003b2c6b9f2571f7091
25.9 MB Download
md5:0920bfdc12fd0daaacc140b8ee06a494
6.2 MB Download
md5:7d4e72f91705d27312d901cc8928df7e
77.8 MB Download
md5:25843c85b2f021c0569ecc4285823327
155.5 MB Download
md5:40c433212a013005ac80ff6202d85759
155.5 MB Download

Additional details

Funding

Can we detect changes in Arctic ecosystems? NE/P006035/1
UK Research and Innovation