Retrieval of Geophysical Parameters
from GOES
GOES Information
General Satellite Information GSFC-NASA
or NOAA-NESDIS
Schedules and Scan Sectors
Current GOES images
GHCC GOES Imager and Sounder Products
Retrieval of Land Surface Temperature and Precipitable Water
The retrieval of land surface temperature (LST)
(also known as skin temperature)
and total precipitable water (TPW) from GOES measurements is
accomplished with an algorithm and the 11
and 12 micrometer channels of either the Imager or the Sounder.
The algorithm, know as the Physical Split Window (PSW) technique,
is derived from a perturbation form of the radiative transfer
equation that is simplified through parameterization to retrieve
bulk layer parameters rather than profile information. The physical
approach requires a priori information, which includes estimates
of temperature and mixing ratio profiles, TPW, and skin temperature.
The guess information is used with forward radiative transfer
code and GOES spectral response information to calculate channel
transmittances and brightness temperatures, which are required for the solution
equations.
The retrieval methodology used to obtain LST and
TPW varies with the particular application. Often GOES field of views (FOVs) are
averaged together over a limited region before the retrieval process to reduce
the affect of random noise on the resulting products. Proper
screening of the individual FOVs for cloud contamination is
crucial for successful retrievals. Our current cloud screening
approach uses a one-dimensional spatial variance approach applied
to a 3.7 - 11 micrometer difference image (Guillory
et. al. 1998) along with single band brightness temperature
thresholds. Updates and improvements to this cloud detection are currently being studied
(Jedlovec and Laws 2001 -
PDF version).
The retrieval accuracy varies with application.
The quality of the TPW retrievals depends on the appropriateness
of the first guess. LST retrievals are only weakly dependent
on the guess profile information. The quality of both TPW and
LST degrades under inversion conditions (either in the first
guess or retrieval environment). Under optimal observing conditions,
TPW retrieval errors will approach 2.0 mm, while LST errors are
as small as 0.2 K. Variations in surface thermal emissivity unaccounted
for in the retrieval process will increase the magnitude of the
errors.
Retrieval of Insolation and Albedo
The amount of solar energy reaching the Earth's surface (insolation) is
estimated from the broadband visible channel on GOES. It is desirable
to estimate both direct and diffuse radiation (scattering from the
atmosphere and clouds). The albedo of the surface is required to
accurately compute these components. The surface albedo (for each hour)
is calculated using a short term history of GOES visible channel
reflectance measurements from cloud-free images (minimum visible
value over the history), the solar constant, and an estimate of
the water vapor content of the atmosphere. In cloudy regions a
historical estimate of the albedo (from cloud-free data)
is used. The procedure includes three processes: attenuation of
downward flux of solar radiation in cloud-free regions by molecular
scattering and absorption by atmospheric water vapor, absorption and
scattering of solar radiation by clouds, and the attenuation of
solar radiation by the atmosphere below the clouds. Atmospheric
absorption is calculated with a parameterized radiative transfer
model appropriate for shortwave radiation and is dependent on water
vapor (total precipitable water in our case), and satellite and
solar viewing geometry. Cloud absorption is parameterized
solely on visible reflectance and Rayleigh scattering with a
molecular path length.
|| IR Group Home || GHCC
Home ||
|| Personnel || || Publications || || What's
New ||
|| Retrievals
Algorithms || || Precipitable Water || || Water Vapor Transport ||
|| Land Surface
Temperature || ||
Aircraft Measurement || || Real Time Data ||
Technical Contact: Dr. Gary J. Jedlovec (gary.jedlovec@msfc.nasa.gov)
Responsible Official: Dr. James L. Smoot (James.L.Smoot@nasa.gov)
Page Curator: Diane Samuelson (diane.samuelson@msfc.nasa.gov)
Last updated on: February 21, 2002 |