Full catalog/TOVSA5NF
TOVSA5NF·v01·dataset

Old 5-day weather and temperature grids (NOAA-9)

TOVS GLA 5 DAY GRIDS from NOAA-9 V01 (TOVSA5NF) at GES DISC
atmosphere NASA GES_DISC Level 3
In plain English

What it measures. Older five-day gridded maps of atmospheric conditions, including the 3D temperature and moisture structure of the atmosphere plus extras like land and sea surface temperature, cloud cover, cloud-top height, total ozone, and rainfall estimates.

How it's made. Derived from infrared and microwave sounders on the NOAA-9 weather satellite using a model-based retrieval method, processed at NASA Goddard as part of the TOVS Pathfinder project.

How & where you'd use it. A historical climate-record product useful to researchers studying past atmospheric conditions and long-term trends.

What's measured

ATMOSPHERE › ATMOSPHERIC CHEMISTRY › OXYGEN COMPOUNDS › ATMOSPHERIC OZONEATMOSPHERE › ATMOSPHERIC PRESSURE › ATMOSPHERIC PRESSURE MEASUREMENTSATMOSPHERE › ATMOSPHERIC RADIATION › OUTGOING LONGWAVE RADIATIONATMOSPHERE › ATMOSPHERIC TEMPERATUREATMOSPHERE › ATMOSPHERIC TEMPERATURE › SURFACE TEMPERATUREATMOSPHERE › ATMOSPHERIC TEMPERATURE › SURFACE TEMPERATURE › AIR TEMPERATUREATMOSPHERE › ATMOSPHERIC TEMPERATURE › SURFACE TEMPERATURE › SKIN TEMPERATUREATMOSPHERE › ATMOSPHERIC TEMPERATURE › SURFACE TEMPERATURE › VIRTUAL TEMPERATUREATMOSPHERE › ATMOSPHERIC TEMPERATURE › UPPER AIR TEMPERATUREATMOSPHERE › ATMOSPHERIC TEMPERATURE › UPPER AIR TEMPERATURE › VERTICAL PROFILESATMOSPHERE › ATMOSPHERIC TEMPERATURE › UPPER AIR TEMPERATURE › VIRTUAL TEMPERATUREATMOSPHERE › ATMOSPHERIC WATER VAPOR › WATER VAPOR INDICATORS › HUMIDITYATMOSPHERE › ATMOSPHERIC WATER VAPOR › WATER VAPOR INDICATORS › LAYERED PRECIPITABLE WATERATMOSPHERE › ATMOSPHERIC WATER VAPOR › WATER VAPOR INDICATORS › TOTAL PRECIPITABLE WATER

Coverage & cadence

  • Time span1984-12-31 → 1987-01-01
  • Measured byNOAA-9 (TOVS, MSU, HIRS/2)
  • Processing levelLevel 3
  • 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

This dataset (TOVSA5NF) contains the TIROS Operational Vertical Sounder (TOVS) level 3 geophysical parameters derived using data from NOAA-9 and the physical retrieval method of Susskind et al. (1984) and processed by the Satellite Data Utilization Office of the Goddard Laboratory for Atmospheres at NASA/GSFC. This method, which is hydrodynamic model- and a priori data-dependent, is designated as the so-called Path A scheme by the TOVS Pathfinder Science Working Group. The 20 channel High resolution Infrared Radiation Sounder 2 (HIRS2) and the 4 channel Microwave Sounding Unit (MSU) aboard the NOAA-xx series of Polar Orbiting Satellites are used to produce global fields of the 3-dimensional temperature-moisture structure of the atmosphere. In addition to profiles of temperature and moisture, the HIRS2/MSU data are used to derive important quantities such as land and sea surface temperature, outgoing longwave radiation, cloud fraction, cloudtop height, total ozone overburden and precipitation estimates. The Path A system steps through an interactive forecast-retrieval-analysis cycle. In each 6 hour synoptic period, 2nd order General Circulation Model (Takacs et al., 1994) is used to generate the 6 hour forecast fields of temperature and humidity. These global fields are used as the first guess for all soundings occuring within a 6 hour time window centered upon the forecast time. These retrievals are then assimilated with all available insitu measurements (such as radiosonde and ship reports) in the 6 hour interval using an Optimal Interpolation (OI) analysis scheme developed by the Data Assimilation Office of the Goddard Laboratory for Atmospheres. This analysis is then used to specify the initial conditions for the next 6 hour forecast, thus completing the cycle. The retrieval algorithm itself is a physical method based on the iterative relaxation technique originally proposed by Chahine (1968). The basic approach consists of modifying the temperature profile from the previous iteration by an amount proportional to the difference between the observed brightness temperatures and the brightness temperatures computed from the trial parameters using the full radiative transfer equation applied at the observed satellite zenith angle. For the case of the temperature profile, the updated layer mean temperatures are given as a linear combination of multichannel brightness temperature differences with the coefficients given by the channel weighting functions. Constraints are imposed upon the solution in order to ensure stability and convergence of the iterative process. For more details see Susskind et al (1984). There are level 3 data product files for five TOVS satellites, each of which is in the HDF format and each representative of a different averaging time period. This collection contains a 5 day average.

Get the data

tovsa5nf_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="TOVSA5NF",
    version="01",
    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.