Utapao Climatology

Files are png format. Postscript available upon request.



Aerosol Optical Depth (550 nm)

These are combined 550nm aerosol optical thicknesses from a climatology provided to me by Peter Colarco. The flow field is the NCEP/NCAR 850hpa wind field.

  • Aerosol optical thickness
  • Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec


    NO2

    These are NO2 tropospheric columns from a climatology provided to me by Jim Gleason. The flow field is the NCEP/NCAR 850hpa wind field. I've degraded the data from a 0.05 resolution to a 0.5 deg. resolution in both lat and lon.

  • NO2 (10^16)
  • Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec


    Outgoing Long-wave Radiation (OLR) in W/m2

    These are OLR values from the NOAA web site.

  • OLR with 850 hPa flow
  • Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • OLR with 300 hPa flow
  • Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec


    Tropospheric Column Ozone (DU)

    These are combined tropospheric column ozone values from a climatology provided to me by Jerry Ziemke. The flow field is the NCEP/NCAR 850hpa wind field.

  • Tropospheric Column Ozone with 850 hPa flow field
  • Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec


    Rain

    Rain from the Global Precipiation Analysis in mm/day.

  • Rain rates with the 850hPa flow.
  • Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec


    UTLS ozone from MLS

    MLS ozone values from level 2 data (see mls_climo_write.pro for details on how the averages are constructed

  • MLS o3 with 146hPa flow
  • Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • MLS o3 with 100hPa flow
  • Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • MLS o3 with 68hPa flow
  • Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • MLS o3 with 46hPa flow
  • Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • MLS o3 with 31hPa flow
  • Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec


    UTLS Water from MLS

    MLS water values from level 2 data (see mls_climo_write.pro for details on how the averages are constructed

  • MLS h2o with 146hPa flow
  • Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • MLS h2o with 100hPa flow
  • Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • MLS h2o with 68hPa flow
  • Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • MLS h2o with 46hPa flow
  • Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • MLS h2o with 31hPa flow
  • Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec


    UTLS CO from MLS (ppt)

    MLS CO values from level 2 data (see mls_climo_write.pro for details on how the averages are constructed

  • MLS CO with 146hPa flow
  • Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • MLS CO with 100hPa flow
  • Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • MLS CO with 68hPa flow
  • Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • MLS CO with 46hPa flow
  • Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • MLS CO with 31hPa flow
  • Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec


    Temperature averages

    Latitude vs. Altitude Temperature Cross sections

    The colors are for temperature. The white lines are zonal winds. The thick purple line is the tropopause. The vertical line indicates the station. The box shows the altitude range of the GH. The outer lines show the GH latitude range with a 10 hour loiter time at the box edge. The closer lines are the range lines with 20 hour loiter times.

  • Temperature zonal mean
  • Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • Temperature cross section at 101E_UTA
  • Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

    Maps of temperature.

    Black contours are indicated for every 1 K. The thick solid redish lines are the stream lines derived from the zonal and meridional wind averages.

  • November
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  • December
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  • January
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  • February
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  • March
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  • April
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  • May
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  • June
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  • July
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  • August
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  • September
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  • October
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    Relative humidity averages

    Latitude vs. Altitude relative humidity Cross sections

    The colors are for relative humidity. The white lines are zonal winds. The thick purple line is the tropopause. The vertical line indicates the station. The box shows the altitude range of the GH. The outer lines show the GH latitude range with a 10 hour loiter time at the box edge. The closer lines are the range lines with 20 hour loiter times.

  • relative humidity zonal mean
  • Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
  • relative humidity cross section at 101E_UTA
  • Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

    Maps of relative humidity.

    Black contours are indicated for every 5%. The thick solid redish lines are the stream lines derived from the zonal and meridional wind averages.

  • November
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  • December
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  • January
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  • February
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  • March
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  • April
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  • May
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  • June
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  • July
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  • August
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  • September
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  • October
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    ENSO index correlation with Temp

    Horizonal maps of 1-point correlations

    The colors show correlation values. I took the ENSO index from the JISAO web site at the Univ. of Washington and correlated it with the NCEP/NCAR reanalysis monthly mean data at each point on the met grid using the data from 1979-2009 (31 years). For 31 years, the 95% confidence interval is 0.35


  • January
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  • February
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  • March
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  • April
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  • May
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  • June
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  • July
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  • August
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  • September
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  • October
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  • November
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  • December
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    El Nino: Temperature & winds with positive phase of ENSO index

    Temp. horizonal maps

    Temperatures and winds associated with El Nino. Herein, T = ENSO-index*m+b. I compute the regression of T against the index for all points in the met grid, and then use the slope (m) and intercept (b) to reconstruct the Temp and winds for a +2sigma ENSO event.


  • January
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  • February
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  • March
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  • April
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  • May
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  • June
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  • July
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  • August
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  • September
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  • October
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  • November
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  • December
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    La Nina: Temperature & winds with negative phase of ENSO index

    Temperatures and winds associated with La Nina. Herein, T = ENSO-index*m+b. I compute the regression of T against the index for all points in the met grid, and then use the slope (m) and intercept (b) to reconstruct the Temp and winds for a -2sigma ENSO index.


  • January
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  • February
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  • March
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  • April
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  • May
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  • June
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  • July
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  • August
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  • September
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  • October
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  • November
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  • December
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    ENSO perturbation: Temperature & winds with 2sigma ENSO index

    Temperatures and wind perturbations associated with ENSO. Herein, T = ENSO-index*m+b. I compute the regression of T against the index for all points in the met grid, and then use the slope (m) (no intercept) to reconstruct the Temp and winds perturbations for a 2sigma ENSO index.


  • January
  • 1000 MB 925 MB 850 MB 700 MB 600 MB 500 MB 400 MB 300 MB 250 MB 200 MB 150 MB 100 MB 70 MB 50 MB
  • February
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  • March
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  • April
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  • May
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  • June
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  • July
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  • August
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  • September
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  • October
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  • November
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  • December
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    Dr. Paul A. Newman

    Code 614 Atmospheric Chemistry and Dynamics Branch

    Laboratory for Atmospheres

    NASA's Goddard Space Flight Center

    Greenbelt, MD 20771

    Building 33, Room E320
    (301) 614-5985 fax: x-5903

    Last Updated: 2008-11-26
    Author: Dr. Paul A. Newman (NASA/GSFC, Code 613.3) )