Analysis and plotting scripts for first manuscript submission of "Temporal and spatial scale dependency of air-sea interactions via the vertical mixing mechanism"

• Main Author: Putrasahan, Dian
• Format: Report
• Language: English
• Published: Zenodo 2023
• Subjects: Southern Ocean
• Online Access: https://doi.org/10.5281/zenodo.8280000

Analysis and plotting scripts for figures in first manuscript submission of "Temporal and spatial scale dependency of air-sea interactions via the vertical mixing mechanism" by Dian A. Putrasahan and Jin-Song von Storch. Summary: (25 analysis scripts + 6 function scripts) 0) Collection of python functions pertaining to this analysis edgevertexcell.py extractICONdata.py getSpectraPlot_r2b9.py plotspectra_r2b9.py r2b9ocnrgn.py spatialspec_r2b9.py 1) Extract daily and monthly fields (SST and windstress) on ocean grid extractR2B9ocn_monthly.job extractR2B9ocn_daily.job 2) Compute the SST gradients and the wind stress divergence create_daily_SSTgrad_TAUdivcurl_ngc2009.py create_monthly_SSTgrad_TAUdivcurl_ngc2009.py create_hourly_SSTgrad_TAUdivcurl_ocn_ngc2009.py 3a) Spatially filterfull fields (2deg) =high-pass filtered + smoothedfields sm_monthly_SSTgradTAUdivcurl_ngc2009.job submit_smmonthly_SSTgradTAUdivcurl_ngc2009.sh sm_daily_SSTgradTAUdivcurl_ngc2009.job submit_smdaily_SSTgradTAUdivcurl_ngc2009.sh sm_hourly_SSTgradTAUdivcurl_ngc2009.job submit_smhourly_SSTgradTAUdivcurl_ngc2009.sh 3b) Compute global distribution of coupling coefficient and pattern correlation [Figure 1] Fig1.ipynb 4) Use full daily fields and interpolate onto regular grid 3600x1800 create_daily_0.05deg_downSST.py create_daily_0.05deg_TAUdiv.py 5) For each ocean basin, compute FFT for each latitude. FFT_monthly_0.05deg_downSST_TAUdiv.py FFTthres_daily_0.05deg.py execFFT_thres_005deg.job submit_FFTrgn_thres_daily_005.sh 6) Compute and plot spatial spectra for each ocean basin [Figure 2] Fig2.py 7) Compute and plot frequency-wavenumber spectra for N. Atlantic, tropical Pacific and Southern Ocean [Figure 3] Fig3a.py Fig3b.py Fig3c.py 8) Global distribution of coupling coefficient and pattern correlation based on 10deg smoothing [Figure S1] FigS1.ipynb 9) Spatial power spectra of SST and SST gradients [Figure S2] FigS2.py 10) Spatial coherence of downwind SST gradient and windstress divergence as a function of latitude based on daily data [Figure ...