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| Main Authors: | , , , , , |
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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.17306281 |
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Table of Contents:
- <p>This dataset contains the numerical model output files and preprocessed data files used in the analysis and model evaluation described in "The Imprint of Indian Ocean Dipole on Nitrous Oxide Dynamics". </p> <p>Note:</p> <p>1) If the file name has a label "_detrend_withmean_movmean3", this file is detrended, added back climatological mean and run moving mean over central 3 months using full values from 1981-2020 with CDO (Climate Data Operators, https://code.mpimet.mpg.de/projects/cdo).</p> <p>2) The used coastal mask 'maskm' in mask.nc is defined by the outer limit of ∼150 km from shore or the 1,000 m isobath, whichever is farther (similar to narrow coastal regions in Laruelle et al., 2017; Resplandy et al., 2024).</p> <p>3) The file starting with "n2o_MLD_budget" contains variables:</p> <ul> <li>Jn2o: N2O biological production in the surface mixed layer</li> <li>Fn2o: air-sea exchange flux of N2O</li> <li>Tn2o: transport of N2O into the surface mixed layer</li> <li>Dn2o: the tendency of N2O in the surface mixed layer</li> </ul> <p>The budget terms are calculated based on monthly mixed layer depth.</p> <p>4) 'DMI_HadISST_calc', 'DMI_Merged_P2022' and 'DMI_OISST_calc' in DMI_all.mat are used to evaluate the variations in the east/west SST gradient associated with IOD. </p> <p>DMI_HadISST_calc and DMI_OISST_calc were calculated following:</p> <p>- removed monthly climatology of 1981-2010<br>- calculate area-weighted average for western Indian Ocean (WIO, 50-70E, 10S-10N) and southeastern Indian Ocean (SEIO, 90-100E, 0-10S)<br>- subtract between WIO and SEIO<br>- centered 3-month running mean</p> <p>5) sla_satellite_1994_2020_NIO_detrend_withmean_movmean3.nc is satellite-based sea level anomaly from the Global Ocean Gridded SSALTO/DUACS Sea Surface Height L4 product (https://cds.climate.copernicus.eu/datasets/satellite-sea-level-global), and was averaged monthly and re-gridded to a resolution of 0.25◦×0.25◦.</p> <p>6) npp_CbPM_<span>2003_2020_regrid_NIO_detrend_withmean_movmean3.nc is monthly net primary productivity relying on the updated Carbon-based Production Model (CbPM) algorithm (https://orca.science.oregonstate.edu/index.php, Westberry et al., 2008) and was re-gridded to a resolution of 0.25◦×0.25◦.</span></p> <p> </p> <p>References:</p> <p>Laruelle, G.G., Landschützer, P., Gruber, N., Tison, J.L., Delille, B. and Regnier, P., 2017. Global high-resolution monthly pCO 2 climatology for the coastal ocean derived from neural network interpolation. <em>Biogeosciences</em>, <em>14</em>(19), pp.4545-4561.</p> <p>Resplandy, L., Hogikyan, A., Müller, J.D., Najjar, R.G., Bange, H.W., Bianchi, D., Weber, T., Cai, W.J., Doney, S.C., Fennel, K. and Gehlen, M., 2024. A synthesis of global coastal ocean greenhouse gas fluxes. <em>Global Biogeochemical Cycles</em>, <em>38</em>(1), p.e2023GB007803.</p> <p>Westberry, T., Behrenfeld, M., Siegel, D., & Boss, E. (2008). Carbon-based primary productivity modeling with vertically resolved photoacclimation. Global Biogeochemical Cycles, 22 (2).</p> <p> </p>