Global Edited Soundings for Gravity/Bathymetry Calibration
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1 Global Edited Soundings for Gravity/Bathymetry Calibration David Sandwell, Walter Smith, JJ Becker, Karen Marks, Megan Jones, Adrienne Apacile, Seung-Hee Kim, Scott Nelson Rob Beaman,... Objective - construct global bathymetry at 1-10 km resolution for scientific research Where does your organization obtain data? anywhere - focus on single beam soundings How do you manage your data? (not very well) What tools and methods do you use to clean and disseminate your data? cm_editor and www/ftp How do you assess the quality of your data? visual (undergrad students) and statistical How do you describe and document your data? online docs and occasional journal article How do you grid your data? gravity to topography recipe What is your gridding process? high-pass G&T, estimate T/G, add long-λ T, remove/restore T What tools do you use? GMT, ER_Mapper, C-programs, csh, awk,... How do you evaluate your grid? visual How do you update your grid? regrid globally How do you document your grid development? version number and README What are the limitations of the methodologies and tools that you currently use? not portable What capabilities and functionalities are on your wish list? Where do you see your efforts going in the future? What issues do you face that complicate your effort? ER_Mapper for Mac Improved gravity from Cryosat Classified and proprietary data
2 applications of radar altimetry and ship soundings Gravity: plate tectonics planning ship surveys inertial guidance (mostly military) petroleum exploration Topography: seafloor roughness seamounts tsunami models tide models, tidal friction, thermohaline circulation planning undersea cables law of the sea education and outreach
3 Where does your organization obtain data? QuickTime and a decompressor are needed to see this picture. new soundings (red)since V5.0
4 What tools and methods do you use to clean and disseminate your data? cm_editor and www/ftp CM FORMAT The common file (filename.cm) consists of ASCII text with variable precision depending on the precision of the original data. There are 7 columns as follows: time time since an epoch (sec), or record sequence number longitude decimal degrees (+/- 180.) latitude decimal degrees (+/- 90.) depth depth; below sea level is negative (corrected meters) sigma_h estimated uncertainty in navigation (m) (0=no estimate) sigma_d depth uncertainty (m) (9999=edited data; -1= no estimate) source_id unique ID number for each source ( ). pred_depth predicted depth estimate (m) (used internally at SIO for editing)
5 What tools and methods do you use to clean and disseminate your data? cm_editor and www/ftp
6 What tools and methods do you use to clean and disseminate your data? cm_editor and www/ftp
7 What is your gridding process? gridded map products flow chart
8 Bathymetry from Gravity and Ship Soundings: Inverse Nettleton Method 1. Grid available depth soundings. 1. Separate into low-pass and high-pass filtered components (~160 km). 1. High-pass filter gravity and downward continue to low-pass filtered depths. 1. Perform a robust linear regression of high-pass topography and high-pass, downward-continued gravity in small regions. 1. Multiply gravity by topography/gravity slope to predict topography in pass band. 1. Add original low-pass filtered depth. 1. Force agreement with soundings.
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10 What tools do you use? ER_Mapper
11 Where do you see your efforts going in the future? Satellite Altimetry Improved range precision -- A factor of 2 or more improvement in altimeter range precision, with respect current altimeters, is needed to reduce the noise due to ocean waves. Fine cross-track spacing and long mission duration -- A ground track spacing of 6 km or less is required. A six-year mission would reduce the error by another factor of two. Moderate inclination -- Current non-repeat-orbit altimeter data have high inclination and thus poor accuracy of the E-W slope at the equator. The new mission should have an inclination of ~60 or 120 to improve E-W slope recovery. Near-shore tracking -- For applications near coastlines, the ability to track the ocean surface close to shore is desirable.
12 Improved Marine Gravity fromcryosat and Jason-1 David T. Sandwell and Walter H. F. Smith
13 Geosat/GM ERS-1/GM CryoSat light lines planed 1 yr. dark lines 6 mo. Jason-1 planed 1 yr. 419-days
14 waveform retracking Estimate 3 parameters: arrival time (t o ), rise time (σ), and power (A). M(A,t o,σ) = A 2 1+ erf (η) { }; η = t o 2σ
15 recipe for improved range precision 1) retrack waveforms with standard 3- parameter model 2) smooth wave height and amplitude over 40-km 3) retrack waveforms with 2-parameter model
16 LRM 1b results 2-parameter retracking is 1.2 times better than 3-parameter CryoSat range precision is 1.4 times better than Geosat and ERS-1/GM
17 predicted gravity improvement 1.4 better range precision with 3 years of CryoSat and 419 days of Jason
18 Improved Marine Gravity from CryoSat and Jason-1 David T. Sandwell and Walter H. F. Smith Improved range precision is critical for gravity improvement. Cryosat LRM has 1.4 better range precision than Geosat and ERS-1 because PRF is 2 X higher. 3 years of CryoSat LRM + 1 year Jason will improve gravity accuracy by 2 X and reveal 20,000 uncharted seamounts and abyssal fabric. We don t yet know the improvement in resolution from SAR-mode data.
19 Seamount Discovery Tool Created as an efficient way for ships of opportunity to plan routes that travel over uncharted seamounts. Most seamounts < 2 km tall are uncharted Seamount exploration strategies - acquire and edit existing data - ships of opportunity and Google Earth - satellite altimetry Discovery tool uses Google Earth and a GPS Wessel, P., D. T. Sandwell and S-S. Kim, The global seamount census, Oceanography, 23:1 p , Sandwell, D. T., and P. Wessel, Seamount discovery tool aids navigation to uncharted seafloor features, Oceanography, 23:1, p , 2010.
20 1/2 of global seafloor bathymetry not resolved at 10 km resolution [Smith and Marks, 2009]
21 uncharted seamounts > 3 km tall
22 size distribution of seamounts Wessel JGR, 2001
23 Seamount Exploration Strategies Existing data Ships of opportunity and Google Earth (GE) GE to encourage data sharing GE as a real-time survey tool Satellite altimetry Cryosat II Other non-repeat orbit altimeters
24 San Diego to Honolulu - White Holly - May 2009 red - great circle = 4180 km green 14 new seamounts = km (1.028) yellow - 7 new seamounts = km (1.0023)
25 Cape Town to Punta Arenas - Melville - Feb, 2011 red - great circle = 6896 km green - 10 new seamounts = 7130 km (1.034) violet - 11 new seamounts = 7069 km (1.025)
26 Cape Town to Punta Arenas - Melville - Feb, 2011
27 Cape Town to Punta Arenas - Melville - Feb, 2011
28 Okeanos Explorer - Monterey Bay to Honolulu - soon Elizabeth Lobecker
29 stress from topography loads Karen Luttrell, Ph. D., 2010
30 mid-ocean ridge earthquakes Alternating spreading ridge and transform offset segments Ridge earthquakes have normal focal mechanism Transform earthquakes have strike-slip focal mechanism
31 3-D stress within a thick elastic plate Calculate stress in a thick elastic plate loaded with surface topography and Moho topography Semi-analytic Green s function response of a the system to non-identical point loads True 2-D (horizontal) shape of the load without simplification Convolve in the Fourier domain (numerically efficient)
32 constraining tectonic stress Determine regime of total stress field given a range of candidate tectonic stresses Optimal tectonic stress has ridges in a normal regime and transforms in a strike-slip regime
33 Global Edited Soundings for Gravity/Bathymetry Calibration David Sandwell, Walter Smith, JJ Becker, Karen Marks, Megan Jones, Adrienne Apacile, Seung-Hee Kim, Scott Nelson Rob Beaman,... Objective - construct global bathymetry at 1-10 km resolution for scientific research Where does your organization obtain data? anywhere - focus on single beam soundings How do you manage your data? (not very well) What tools and methods do you use to clean and disseminate your data? cm_editor and www/ftp How do you assess the quality of your data? visual (undergrad students) and statistical How do you describe and document your data? online docs and occasional journal article How do you grid your data? gravity to topography recipe What is your gridding process? high-pass G&T, estimate T/G, add long-λ T, remove/restore T What tools do you use? GMT, ER_Mapper, C-programs, csh, awk,... How do you evaluate your grid? visual How do you update your grid? regrid globally How do you document your grid development? version number and README What are the limitations of the methodologies and tools that you currently use? not portable What capabilities and functionalities are on your wish list? Where do you see your efforts going in the future? What issues do you face that complicate your effort? ER_Mapper for Mac Improved gravity from Cryosat Classified and proprietary data
34
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