Tesdal_and_Haine_2020

ECCOv4 based freshwater and heat budget analysis of the Subpolar North Atlantic Ocean and Nordic Seas from 1992 to 2015

This repository contains the analysis code for Tesdal and Haine (2020). The study uses the ECCOv4 reanalysis product and compares budget variability and mechanisms within the subpolar North Atlantic Ocean, Nordic Seas, and Labrador Sea from 1992 to 2015.

Summary

This study presents a comprehensive analysis of freshwater and heat budgets for the subpolar North Atlantic Ocean and Nordic Seas, using the ECCOv4 reanalysis product and dataset. The study focuses on the period between 1992 and 2015 and provides an understanding of the variability and mechanisms that drive these budgets in these regions.

Analysis Code

The repository contains the following Jupyter Notebooks:

eccov4r4_output.ipynb: This notebook is used to build the zarr dataset from ECCOv4 output.
eccov4r4_budgets.ipynb: This notebook is used to build the zarr dataset of volume, heat and salt budgets.
fig1.ipynb, fig2.ipynb, ...: These notebooks show how to produce each figure in the paper.
tab1.ipynb, tab2.ipynb, ...: These notebooks show how to produce each table in the paper.
Additional notebooks are included that are used to produce interim datasets used to generate the figures.

Dependencies

The code in this repository is written in Python and requires the following libraries to be installed:

numpy
xarray
matplotlib
cartopy

Usage

To run the code in this repository, you will need to have Jupyter Notebook or Jupyter Lab installed, and python version 3.7. Once you have Jupyter installed, you can open the notebooks in this repository and run the code cells.

Data

Please see "Data Availability Statement" in Tesdal and Haine (2020) for how to access the ECCOv4 output and any ancillary datasets used in this study. ECCOv4 output was reproduced following the instruction presented in Wang (2019).

Reference

If you use this code or data, please cite the following paper:

Tesdal, J.-E., & Haine, T. W. N. (2020). Dominant terms in the freshwater and heat budgets of the subpolar North Atlantic Ocean and Nordic Seas from 1992 to 2015. Journal of Geophysical Research: Oceans, 125, e2020JC016435. https://doi.org/10.1029/2020JC016435

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
slides		slides
.gitignore		.gitignore
Curry_and_Mauritzen_2005_fig02_fw_nsea.csv		Curry_and_Mauritzen_2005_fig02_fw_nsea.csv
Curry_and_Mauritzen_2005_fig02_fw_spna.csv		Curry_and_Mauritzen_2005_fig02_fw_spna.csv
LICENSE		LICENSE
LabSea_upper20m_fw_budg.ipynb		LabSea_upper20m_fw_budg.ipynb
README.md		README.md
Time_series_NAO+T700+LSW.ipynb		Time_series_NAO+T700+LSW.ipynb
aste_sections_fw.ipynb		aste_sections_fw.ipynb
boundary_flux_estimates.ipynb		boundary_flux_estimates.ipynb
budgFw_anom.ipynb		budgFw_anom.ipynb
budgFw_anom_20m.ipynb		budgFw_anom_20m.ipynb
budgFw_sumZ.ipynb		budgFw_sumZ.ipynb
budgH_anom.ipynb		budgH_anom.ipynb
budgSln_anom.ipynb		budgSln_anom.ipynb
budgSln_anom_residual.ipynb		budgSln_anom_residual.ipynb
budg_fw_spna&nsea.ipynb		budg_fw_spna&nsea.ipynb
ecco_sections_BSO.ipynb		ecco_sections_BSO.ipynb
ecco_sections_DaS.ipynb		ecco_sections_DaS.ipynb
ecco_sections_DeS.ipynb		ecco_sections_DeS.ipynb
ecco_sections_FrS.ipynb		ecco_sections_FrS.ipynb
ecco_sections_HS.ipynb		ecco_sections_HS.ipynb
ecco_sections_LG_heat.ipynb		ecco_sections_LG_heat.ipynb
ecco_sections_LabradorCurrent.ipynb		ecco_sections_LabradorCurrent.ipynb
ecco_sections_fw-Copy1.ipynb		ecco_sections_fw-Copy1.ipynb
ecco_sections_fw.ipynb		ecco_sections_fw.ipynb
ecco_sections_fw_20m.ipynb		ecco_sections_fw_20m.ipynb
ecco_sections_fw_500m.ipynb		ecco_sections_fw_500m.ipynb
ecco_sections_fw_Sref_test.ipynb		ecco_sections_fw_Sref_test.ipynb
ecco_sections_heat.ipynb		ecco_sections_heat.ipynb
ecco_sections_sln.ipynb		ecco_sections_sln.ipynb
ecco_sections_slt.ipynb		ecco_sections_slt.ipynb
eccov4r3_budgFw.ipynb		eccov4r3_budgFw.ipynb
eccov4r4_budgets.ipynb		eccov4r4_budgets.ipynb
eccov4r4_lfwc_monthly.ipynb		eccov4r4_lfwc_monthly.ipynb
eccov4r4_ohc_monthly.ipynb		eccov4r4_ohc_monthly.ipynb
eccov4r4_output.ipynb		eccov4r4_output.ipynb
en4_density_spg.ipynb		en4_density_spg.ipynb
en4_hc_lsea.ipynb		en4_hc_lsea.ipynb
en4_hc_spna.ipynb		en4_hc_spna.ipynb
en4_lfwc_spna.ipynb		en4_lfwc_spna.ipynb
era5_curl.ipynb		era5_curl.ipynb
era_curl.ipynb		era_curl.ipynb
fig02_ecco_sections_map.ipynb		fig02_ecco_sections_map.ipynb
fig03_lfwc_timeseries.ipynb		fig03_lfwc_timeseries.ipynb
fig04_spatial_trends.ipynb		fig04_spatial_trends.ipynb
fig05.ipynb		fig05.ipynb
fig06.ipynb		fig06.ipynb
fig07.ipynb		fig07.ipynb
fig08.ipynb		fig08.ipynb
fig09.ipynb		fig09.ipynb
fig10.ipynb		fig10.ipynb
fig12.ipynb		fig12.ipynb
fig13.ipynb		fig13.ipynb
fig14.ipynb		fig14.ipynb
fig15.ipynb		fig15.ipynb
figS01.ipynb		figS01.ipynb
figS02.ipynb		figS02.ipynb
figS03.ipynb		figS03.ipynb
figS04.ipynb		figS04.ipynb
figS05.ipynb		figS05.ipynb
figS06.ipynb		figS06.ipynb
figS07.ipynb		figS07.ipynb
figS08.ipynb		figS08.ipynb
figS09.ipynb		figS09.ipynb
figS10.ipynb		figS10.ipynb
figS14.ipynb		figS14.ipynb
figS15_26N.ipynb		figS15_26N.ipynb
figS16_climidx_corr.ipynb		figS16_climidx_corr.ipynb
figS17_spgi_cdepth.ipynb		figS17_spgi_cdepth.ipynb
lfwc_aste.ipynb		lfwc_aste.ipynb
lfwc_monthly_eccov4r4.ipynb		lfwc_monthly_eccov4r4.ipynb
lfwc_monthly_en4.ipynb		lfwc_monthly_en4.ipynb
lfwc_monthly_spna_hadobs.ipynb		lfwc_monthly_spna_hadobs.ipynb
lfwc_pentad_eccov4r4.ipynb		lfwc_pentad_eccov4r4.ipynb
lfwc_pentad_en4.ipynb		lfwc_pentad_en4.ipynb
lfwc_timeseries.ipynb		lfwc_timeseries.ipynb
load_aste.ipynb		load_aste.ipynb
moc_transports.nc		moc_transports.nc
oaflux_htfl.ipynb		oaflux_htfl.ipynb
oceFW breakdown.ipynb		oceFW breakdown.ipynb
schematic.ipynb		schematic.ipynb
sln_conv_spna.ipynb		sln_conv_spna.ipynb
spg_plots_ssh_btsf_sigma_ipd.ipynb		spg_plots_ssh_btsf_sigma_ipd.ipynb
tab05.ipynb		tab05.ipynb
tab06.ipynb		tab06.ipynb

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