Data and codes for “Surface ocean production dominates global oceanic nitrous oxide emissions”

Data and codes necessary to reproduce the results and support the findings of “Surface ocean production dominates global oceanic nitrous oxide emissions”. Model outputs was calculated from the period 1980-2024.

This folder includes

1) MOM6-COBALTv3-N2O (model):

   – src: source code.

   – builds: compile script and required package, and exeutable files.

   – exps: model configuration and running script.

   Note: More details about model running could be found on https://github.com/NOAA-GFDL/MOM6-examples and https://github.com/NOAA-GFDL/CEFI-regional-MOM6.

   Expected time to run 1 model year: 40-60 minutes/~1500 CPU

2) figure_making: the python script to plot figures.

   Software: Jupyter Notebook Version: 7.2.2

   Required package: /figure_making/global_packages.py

   Required functions: /figure_making/global_functions.py

   Instruction for Jupyter Notebook installation: https://jupyter.org/install

   “Normal” time to install Jupyter Notebook and packages: 20-30 minutes

   Expected time to run plotting scripts: 30 minutes

3) data: data required to plot figures, including post-processed model outputs and collected observation-based data.

   Note: In Figure ED1, Data points are from field-based environmental manipulation experiments (Beman et al. 2012; Bristow et al. 2016; Horak et al. 2018; Xu et al. 2019; Wan et al., 2021; Frey et al. 2023) and not included here. The detailed references could be found in /figure_making/FigED1_NitrificationParameterization_withDataPoints.ipynb

4) figures: plotted figures.

   Note: Data for Figures 2c,d and ED4 could be found in /data/Fig2_N2O_emission_budget.nc and /data/FigED4_N2Obudget_decomposedtracer.xlsx.