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Toward Correcting InSAR
Images for Tropospheric Delay
A.W. Moore, S.L. Granger, S.E. Owen, F.H. Webb,
E.J. Fetzer, E.J. Fielding, E.F. Fishbein
Jet Propulsion Laboratory, California Institute of Technology
C.F. Bjorndahl, J. Lofgren
Chalmers University of Technology
1. Motivation & Basic Info: InSAR, AIRS, GPS
2. Intercomparison of AIRS and GPS
3. Stretched Boundary Layer algorithm combining ECMWF and DEM
4. Selecting time periods conducive to tropospheric correction
Motivation: InSAR Basics
InSAR: differencing two radar images to find the phase difference, and therefore
ground displacement. Spatial density can reach 20m.
But atmospheric differences between the two images can yield up to 20cm of
differential tropospheric delay in the interferogram, obscuring the true signal.
Idea: produce a tropo
correction map to remove
the atmospheric
differences from the
interferogram.
Bock & Williams (1997)
suggested use of GPS;
limited coverage (few km+)
has been a factor.
Z. Li & colleagues more
recently have investigated
use of MERIS and MODIS
data – 1kmX1km, but not
at night and not in
presence of clouds.
AIRS: Atmospheric Infrared Sounder
• High spectral resolution IR
sounder with ~2400 channels.
• Atmospheric profiles at high
vertical resolution.
– 2 km vertical resolution for water
vapor.
• Nighttime retrievals, + in the
presence of up to 70% cloud
cover.
• Twice daily retrievals (ascending
and descending nodes)
• 45km (horizontal) IWV product
• Highest-quality results not
available in heavy rainfall
GPS tropo
• Temporally near-continuous
(5min)
• Measures actual delay at L-band
• Spacing few km – 10s of km in S.
Calif
Zenith delay is formed from all rays passing through
an inverted cone centered on the antenna. Most
variability comes from the lowest 2km of
32km
atmosphere, which implies a cone of R=16km at its
top for a cutoff angle of 7 degrees.
Most authors treat the zenith delay as a point 2km
solution directly above the antenna.
AIRS/GPS intercomparison methodology
GPS processed with GIPSY-OASIS II in PPP mode, using JPL’s Flinn final
precise orbit. We used a 7 degree elevation cutoff and the GMF mapping
function. Total tropospheric zenith delay and 2 gradients were estimated as
stochastic parameters, updated at 5-minute intervals.
GPS PWV calculated from total delay by method of Bevis, et.al. (1992) with
surface pressure & temp from either NCEP(50km) or ECMWF (25km).
AIRS products were generated at the Goddard DAAC using the v5.0 processing
algorithm.
Comparison points limited to measurements within 25km horizontally, 30m
height, and 30minutes.
AIRS/GPS PWV Intercomparison
(a)
(b)
(a)
GPS, AIRS and
(a) GPS approximate ZWD estimated from ECMWF daily water
GEONET GPS over Japan, January 3, 2005 (b)
vapor over Japan,
AIRS PWV over Japan on January 3 2005
January 2005 using
ECMWF surface
pressure to derive
GPS PWV
Japan GEONET with NCEP:
•0.75 correlation coefficient over Jan 05
•Bias evident
•Consistent with previous study Fetzer 2006
•May change with use of absolute antenna calibrations
To be completed with data from all seasons, and other geographic areas.
ECMWF + DEM + GPS
•With Chalmers students J. Lofgren & F.
Bjorndahl, JPL AIRS, GPS & InSAR Los Angeles
investigators area
•Modulates ECMWF (25kmx25km) weather interpolated
data by 2 arcsecond (60m) USGS National total PWV
Elevation Database (NED) topographic data map, 2006-
in an interpolation algorithm to form 60m- 07-08 18:00
resolution TWV maps, in the “stretched
boundary layer approach” of E. Fishbein
•Will compare the interpolated ZWD with ECMWF
results from available Southern California Boundary
GPS sites layer
Boundary contracted
•Will test a differential map as an InSAR
layer
correction product stretched
•May use GPS data as a correction
ECMWF
el. over
this
“terrain”
Quiet atmosphere predictor
• GPS trop+range
differences overlaid on
interferogram generally
correllate
• but are too sparse to
sample short-wavelength
variations between
satellite measurements
• Can we select days
without high-frequency
variations?
What is noisy atmosphere
• Short-spatial-wavelength activity is associated with a
passing front, which moves through the area
– Other causes include
• Winds
• Boundary layer convection
• Evaporation from local sources of water
• A front passing a single station will leave some
signature in that station’s trop time series
• What can we look at in a single station’s time series
that would indicate a passing front?
Quiet atmosphere predictor
• Range of ZWD over the day?
• Max abs(dZWD/dt) over the
day?
• Std. Dev. of ZWD over the
day?
• Correlated, and vary from day
to day
• Look at “most different day”
time series, 11 Jan 05
11 Jan 2005 Trop Behavior
After 3.5 days of
continuous rain, the
weather cleared on Jan 11
Jan 10
was La
Conchita
landslide
Jan 19 – more favorable atmosphere
Jan 11
Has potential to select days without
quickly varying (temporally) and/or
short-wavelength (spatially)
Jan 19
atmosphere features, such that
GPS can be used to run between
satellite data collection more
effectively
Ahead/summary
• Complete GPS-AIRS comparisons using
ECMWF pressure & temp data
• Evaluate effect of absolute antenna calibrations
on GPS-AIRS bias
• Evaluate usage of gradients and/or slant delays
in GPS
• GPS+MERIS+MODIS+AIRS+ECMWF+DEM=InSAR
correction map???
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