home>climate_and_disease>data

Brazil

  • Wenchang Yang
  • Princeton University
  • 2025-03-21 10:32:04
    • Directories Python Files NC Files CSV Files All Files All Files by Time

    Directories

    AM4urban/ log/ pop_weighted/ shapefile/

    Python Files

    [01/07] wyget_AM4u_t2m_subregion.py [02/07] wyget_chirps_precip_subregion.py [03/07] wyget_era5_mn2t_subregion.py [04/07] wyget_era5_mx2t_subregion.py [05/07] wyget_era5_swvl1_subregion.py [06/07] wyget_era5_t2m_subregion.py [07/07] wync2csv.py

    NC Files

  • [01/05] chirps.precip.daily.Brazil.subregion.1999-2020.nc: 2.2M
  • [02/05] era5.mn2t.daily.Brazil.subregion.1999-2020.nc: 2.2M
  • [03/05] era5.mx2t.daily.Brazil.subregion.1999-2020.nc: 2.2M
  • [04/05] era5.swvl1.daily.Brazil.subregion.1999-2020.nc: 2.2M
  • [05/05] era5.t2m.daily.Brazil.subregion.1999-2020.nc: 2.2M

    • CSV Files

    [01/05] chirps.precip.daily.Brazil.subregion.1999-2020.mm_per_day.csv [02/05] era5.mn2t.daily.Brazil.subregion.1999-2020.K.csv [03/05] era5.mx2t.daily.Brazil.subregion.1999-2020.K.csv [04/05] era5.swvl1.daily.Brazil.subregion.1999-2020.m**3m**-3.csv [05/05] era5.t2m.daily.Brazil.subregion.1999-2020.K.csv

    All Files

  • chirps.precip.daily.Brazil.subregion.1999-2020.nc: 2.2M
    • chirps.precip.daily.Brazil.subregion.1999-2020.mm_per_day.csv
  • era5.mn2t.daily.Brazil.subregion.1999-2020.nc: 2.2M
    • era5.mn2t.daily.Brazil.subregion.1999-2020.K.csv
  • era5.mx2t.daily.Brazil.subregion.1999-2020.nc: 2.2M
    • era5.mx2t.daily.Brazil.subregion.1999-2020.K.csv
  • era5.swvl1.daily.Brazil.subregion.1999-2020.nc: 2.2M
    • era5.swvl1.daily.Brazil.subregion.1999-2020.m**3m**-3.csv
  • era5.t2m.daily.Brazil.subregion.1999-2020.nc: 2.2M
    • era5.t2m.daily.Brazil.subregion.1999-2020.K.csv index.html main.sh wyget_AM4u_t2m_subregion.py wyget_chirps_precip_subregion.py wyget_era5_mn2t_subregion.py wyget_era5_mx2t_subregion.py wyget_era5_swvl1_subregion.py wyget_era5_t2m_subregion.py wync2csv.py

    All Files by Time

    index.html wyget_AM4u_t2m_subregion.py wyget_era5_t2m_subregion.py wyget_era5_swvl1_subregion.py wyget_era5_mx2t_subregion.py wyget_era5_mn2t_subregion.py wyget_chirps_precip_subregion.py era5.swvl1.daily.Brazil.subregion.1999-2020.m**3m**-3.csv wync2csv.py
  • era5.swvl1.daily.Brazil.subregion.1999-2020.nc: 2.2M
    • main.sh era5.t2m.daily.Brazil.subregion.1999-2020.K.csv era5.mx2t.daily.Brazil.subregion.1999-2020.K.csv era5.mn2t.daily.Brazil.subregion.1999-2020.K.csv chirps.precip.daily.Brazil.subregion.1999-2020.mm_per_day.csv
  • era5.mn2t.daily.Brazil.subregion.1999-2020.nc: 2.2M
  • era5.mx2t.daily.Brazil.subregion.1999-2020.nc: 2.2M
  • chirps.precip.daily.Brazil.subregion.1999-2020.nc: 2.2M
  • era5.t2m.daily.Brazil.subregion.1999-2020.nc: 2.2M
    • MMXXV