HR: 1340h
AN: G33B-1245 [Abstracts]
TI: Improved GRACE Measurements of Climate Change: Alternative and Advanced Processing Techniques
AU: * Watkins, M M
EM: michael.watkins@jpl.nasa.gov
AF: Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive,
Pasadena, CA 91109, United States
AU: Yuan, D
EM: dah-ning.yuan@jpl.nasa.gov
AF: Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive,
Pasadena, CA 91109, United States
AU: Kruizinga, G L
EM: gerhard.kruizinga@jpl.nasa.gov
AF: Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive,
Pasadena, CA 91109, United States
AU: Bertiger, W
EM: willy.bertiger@jpl.nasa.gov
AF: Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive,
Pasadena, CA 91109, United States
AU: Byun, S
EM: sung.byun@jpl.nasa.gov
AF: Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive,
Pasadena, CA 91109, United States
AU: Lu, W
EM: wenwen.lu@jpl.nasa.gov
AF: Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive,
Pasadena, CA 91109, United States
AB:
As the GRACE project matures, innovative analysis algorithms and approaches have begun to receive significant
attention for potentially providing improved accuracy and spatio-temporal resolution. Example of these include
non-spherical harmonic basis functions (such as mascons), use of intersatellite range or range-acceleration
data in addition to the standard range-rate data, and others.
The analysis group at JPL is unique in having a very large number of these capabilities in a single software
system which allows clear and controlled comparisons of each approach, which we believe is critical to providing
accurate estimates of true uncertainties in geophysical estimates. We have previously discussed our various
mascon results, which utilize global 2 and 4 degree spherical caps, but recently we have also focused on uses of
the intersatellite range acceleration data. We have computed various solutions (spherical harmonic, mascon,
and others) based on this data type, which by its nature is more spatially localized than the integral data types. In
assessing these solutions for Greenland, Antarctica, Alaska, and smaller glaciated areas, our analyses appear
to demonstrate improved spatial resolution and very significantly reduced aliasing noise. In this talk we will
provide a complete description of our results, including careful comparisons with range-rate based spherical
harmonics and mascons.
DE: 0726 Ice sheets
DE: 1217 Time variable gravity (7223, 7230)
DE: 1218 Mass balance (0762, 1223, 1631, 1836, 1843, 3010, 3322, 4532)
DE: 1225 Global change from geodesy (1222, 1622, 1630, 1641, 1645, 4556)
SC: Geodesy [G]
MN: 2007 Fall Meeting