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DATA PROCESSING
GATS participates in research programs that employ instruments
and systems to take measurements aboard satellites, space shuttles,
aircrafts, and balloons. Involvement and experience include ground
testing, science, engineering, and support required to bring programs
to successful completion. GATS designs, fabricates and calibrates
the necessary instruments data and systems to implement these
programs. After the measurements are obtained, GATS employees
analyze and interpret the data.
GATS has enhanced and expanded its expertise in the areas of
data processing, data analysis, instrument performance assessment,
software development, system integration, data visualization,
and animation. The software developed by GATS engineers and analysts
monitors, verifies and calibrates telemetry from the remote sensing
instruments. GATS satellite data processing functions include
decoding raw instrument data, conversion of counts to engineering
units, attitude computations, and other remote sensing and satellite
processing functions. GATS engineers and software developers have
met NASA's signal transmission and data processing requirements.
GATS engineers were an integral part of the team responsible
for ground testing and calibration of HALOE, SAGE III, and SABER.
GATS has developed two tools for assessing the performance of
instruments.
"REPLAY"
- real-time and play back data analysis package that can visualize
instruments raw data to engineering units.
"GPLOT" - GATS Plotting package to support
the data processing, visualization and validation after satellite
launch.
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Level 0-1 Processing
This stage of the processing unpacks the level 0 or raw
data, calibrates the data, removes instrument effects, develops
source functions from the solar scan data, and registers the
data with pressure and altitude. Registration is mostly done
by using temperature versus pressure profiles to do a CO2
channel signal simulation and then comparing the simulation
to measurement. The altitude range above 30 km is mainly used
to avoid any serious effects due to aerosol contamination.
The unpacking separates the data into files that correspond
to various instrument modes. The level 0-1 processing therefore
provides a set of corrected and calibrated signals that are
ready for retrieval calculations.
Level 1-2 Processing
This step uses transmission profiles, different signal profiles
from the gas filter channels, and solar source functions from
the solar scans to retrieve temperature, pressure, and mixing
ratios of HCl, HF, CH4, H2O, O3, NO, NO2, aerosol and temperature
versus pressure. The retrieval method incorporates a simple
"onion
peel" procedure stabilized at the top and bottom
of the profile with a scalar optimal estimation formulation
[Connor and Rodgers, 1989]. The forward model for the gas
filter channels (HF, HCl, CH4, NO) is a rigorous line-by-line
code which is necessary for the effective high spectral resolution
of these channels. All spectral dependence, including thermal
and Doppler shift effects, is explicitly modeled. Along-path
mixing ratio gradients are also included in the forward model
for the diurnally active gases NO, NO2, and O3.
The radiometer channels are modeled using the
emissivity growth and Curtis-Godson approximations using correction
tables. These models have been validated against a line-by-line
transmission code to better than 99% accuracy, and they are
extremely fast, allowing a vector implementation of the optimal
estimation equations. Again, full thermal and spectral dependence
of the instrument is rigorously modeled, in this case, through
a large set of transmission tables.
Most major interfering gases are retrieved
as primary gases in other channels. Non retrieved interference
is minor (such as N2O in HCl) contributing <1% error. However,
interference from the Mount Pinatubo aerosol layer causes
a major effect on the radiometer channel retrievals below
the top of the aerosol layer. We have devised a correction
approach which is based on retrieval using the gas filter
channels, coupled with a Mie-scattering model to determine
the aerosol extinction at the radiometer channel wavelengths.
This approach works very well based on comparison with correlative
measurements.
Level 2-3 Processing
The primary level 3 or "mapped" products include pressure versus
longitude cross sections on selected days, pressure
versus latitude for selected time periods, and polar
orthographic projections. The latitude cross sections
are generated on time scales of a couple of weeks or more
and seasonally. The accuracy and precision of these products
are high and therefore they provide very reliable means to
study trends over time. |