Earth Data School
About
Full catalog/SBUV2N17L2
SBUV2N17L2·v1·dataset

Ozone at different heights and total amount, daily (NOAA-17)

SBUV2/NOAA-17 Ozone (O3) Nadir Profile and Total Column 1 Day L2 V1 (SBUV2N17L2) at GES DISC
atmosphere NASA GES_DISC Level 2
In plain English

What it measures. Daily ozone readings: both the total amount of ozone in a vertical column of air and how that ozone is distributed at different heights.

How it's made. Retrieved from ultraviolet sunlight scattered back to the SBUV instrument on the NOAA-17 satellite, using the version 8.6 processing algorithm; data span 2002-2013.

How & where you'd use it. Used to monitor the ozone layer and its recovery, and it feeds into longer-term monthly ozone summaries.

What's measured

ATMOSPHERE › ATMOSPHERIC CHEMISTRY › OXYGEN COMPOUNDS › ATMOSPHERIC OZONE

Coverage & cadence

  • Time span2002-07-11 → 2013-04-10
  • Measured byNOAA-17 (SBUV/2)
  • Processing levelLevel 2
  • Spatial extent-180, -90, 180, 90
  • StatusCOMPLETE

What you can do with it

  • Map air pollutants — NO₂, aerosols, ozone
  • Track greenhouse gases and Earth's energy budget
  • Feed weather and air-quality analysis
Official description

The Solar Backscattered Ultraviolet (SBUV) from NOAA-17 Level-2 daily product (SBUV2N17L2) contains ozone nadir profile and total column data from retrievals generated from the v8.6 SBUV algorithm. The v8.6 SBUV algorithm estimates the ozone nadir profile and total column from SBUV measurements using 1) the Brion-Daumont-Malicet ozone cross sections, 2) an OMI-derived cloud-height climatology, 3) a revised a priori ozone climatology, and 4) inter-instrument calibration based on comparisons with no local time difference. The SBUV2N17L2 product is written as daily files using the HDF5 format, with file sizes ranging from about 1 to 5 Mbytes. Data are available from July 2002 through April 2013. The SBUV2N17L2 data product was used as input in creating the SBUV2N17L3zm monthly zonal mean data product.

Get the data

sbuv2n17l2_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="SBUV2N17L2",
    version="1",
    bounding_box=(-122.5, 37.2, -121.8, 37.9),  # your area (W,S,E,N)
    temporal=("2024-01-01", "2024-12-31"),       # your dates
)
files = earthaccess.open(results)   # stream straight from GES_DISC
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.