home>climate_and_disease

Directories

__pycache__/ figs/ fromGabe/ gabe/ merra2q/ old/ q_data/ R0min1p4/ share/

Figures

[01/03] fig.ii.cities.MERRA2.png

[02/03] fig.q2m.wclim.comparison.png

[03/03] fig.q2m.Wuhan.wclim.comparison.png

Python Files

[01/06] climSIRS.py [02/06] do_csv_merra.py [03/06] fig.ii.cities.merra2.py [04/06] fig_q2m_wclim_comparison.py [05/06] run_climSIRS_HKU1.py [06/06] shared.py

NC Files

  • [01/03] era5.q2m.w1clim1981-2017.nc: 216.0M
  • [02/03] merra2.QV2M.w1clim1981-2017.nc: 43.3M
  • [03/03] merra_weekly_climo.nc: 86.5M
  • CSV Files

    [01/01] merra_weekly_clim.csv

    All Files

    climSIRS.py do_csv_merra.py
  • era5.q2m.w1clim1981-2017.nc: 216.0M
  • fig.ii.cities.merra2.py fig.ii.cities.MERRA2.png fig.q2m.wclim.comparison.png fig.q2m.Wuhan.wclim.comparison.png fig_q2m_wclim_comparison.py index.html
  • merra2.QV2M.w1clim1981-2017.nc: 43.3M
  • merra_weekly_clim.csv
  • merra_weekly_climo.nc: 86.5M
  • nohup.out run_climSIRS_HKU1.py shared.py

    All Files by Time

    index.html fig.q2m.Wuhan.wclim.comparison.png fig_q2m_wclim_comparison.py fig.q2m.wclim.comparison.png
  • merra_weekly_climo.nc: 86.5M
  • merra2.QV2M.w1clim1981-2017.nc: 43.3M
  • era5.q2m.w1clim1981-2017.nc: 216.0M
  • nohup.out shared.py run_climSIRS_HKU1.py climSIRS.py do_csv_merra.py merra_weekly_clim.csv fig.ii.cities.MERRA2.png fig.ii.cities.merra2.py
    MMXXV