Global marine gravity from retracked Geosat and ERS‐1 altimetry: Ridge segmentation versus spreading rate
By David T. Sandwell, Walter H. F. Smith. 2009
802 citations recorded by the source corpus.
Subfields: Geophysics, Molecular Biology, Oceanography
View Paper: https://www.semanticscholar.org/paper/c102614fe72e7bbd1d61b49e600160f11501584a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Geophysics
- D. Bassett
- Anthony B. Watts
- Brook Tozer
- H. Harper
- F. Lucazeau
- Walter H. F. Smith
- David T. Sandwell
- R. Dietmar Müller
In Molecular Biology
- D. Bassett
- Anthony B. Watts
- Brook Tozer
- H. Harper
- F. Lucazeau
- David T. Sandwell
- Walter H. F. Smith
- J. Zoethout
In Oceanography
Citations in the corpus
- Gravity field recovery from geodetic altimeter missions (2019, methodology): “, 2012) and uncertainties based on significant wave height were combined using a least squares biharmonic gridding approach (Wessel and Bercovici, 1998; Sandwell and Smith, 2009) to form grids of north and east deflection of the vertical.”
- Analysis and Mapping of an Updated Terrestrial Heat Flow Data Set (2019, background): “…(Shapiro & Ritzwoller, 2002), lithospheric thickness (Conrad & Lithgow-Bertelloni, 2006), Curie point depth (Li et al., 2017), free air anomalies (Sandwell & Smith, 2009), topography (Kautz, 2017), and distance to several tectonic features (rifts, orogens, active seismic zones, volcanic zones,…”
- Gravity anomalies, crustal structure, and seismicity at subduction zones: 1. Seafloor roughness and subducting relief (2015, methodology): “Global grids of bathymetry [IOC, 2003] and free-air gravity anomalies [Sandwell and Smith, 2009; Sandwell et al., 2014] are the only data sets uniform in resolution across all subduction zones, but it is often difficult to identify short-wavelength structure within the high gravimetric and…”
- Kinematics of the South Atlantic rift (2013, background): “…boundary in conjunction with proprietary industry long offset reflection seismic data (such as the ION GXT CongoSPAN lines, http://www.iongeo.com/Data Library/Africa/ CongoSPAN/) as well as proprietary and public potential310 field data and models (e.g. Sandwell and Smith, 2009; Maus et al., 2007).”