Using GRACE Satellite Acceleration Data to Recover Arctic Ocean Tides Bryan Killett 1, John Wahr 1, Shailen D. Desai 2, Dah-Ning Yuan 2, Mike Watkins 2,

Slides:



Advertisements
Similar presentations
Arctic Ocean Tides from GRACE Satellite Accelerations Bryan Killett University of Colorado and CIRES, Boulder, CO, USA TexPoint fonts used in EMF. Read.
Advertisements

1 Internal waves and tidal energy dissipation observed by satellite altimetry E. Schrama, TU Delft / Geodesy The Netherlands
Preliminary SWOT Orbit Design Study R. Steven Nerem, Ryan Woolley, George Born, James Choe Colorado Center for Astrodynamics Research, University of Colorado.
Repeat station crustal biases and accuracy determined from regional field models M. Korte, E. Thébault* and M. Mandea, GeoForschungsZentrum Potsdam (*now.
IMPACT OF INSERTION LOCATION ON THE LONGEVITY OF A MARS BALLOON Spaghetti plot for a balloon launch centered in Hellas (42S, 70E) as shown above. Trajectories.
Some Hydrological and Cryospheric Applications of GRACE John Wahr (U of Colorado), Sean Swenson (NCAR), Isabella Velicogna (U of California at Irvine)
Limits of static processing in a dynamic environment Matt King, Newcastle University, UK.
VieVS User Workshop 14 – 16 September, 2011 Vienna VIE_MOD stations corrections Hana Spicakova.
The Four Candidate Earth Explorer Core Missions Consultative Workshop October 1999, Granada, Spain, Revised by CCT GOCE S 43 Science and.
VieVS User Workshop 7 – 9 September, 2010 Vienna VIE_MOD station corrections Hana Spicakova.
Principles of Sea Level Measurement Long-term tide gauge records  What is a tide station?  How is sea level measured relative to the land?  What types.
Time-depending validation of ocean mass anomalies from GRACE by means of satellite altimetry and numerical models Henryk Dobslaw and Maik Thomas GeoForschungsZentrum.
Recent results from GRACE in Greenland and Antarctica Isabella Velicogna* and John Wahr** * ESS, University of California Irvine, Irvine CA ** Dept Of.
Climate Change in Earth’s Polar Regions
Gary Lagerloef, PhD Science on Tap, 7 April Apollo 17 December 1972 Climate Science in the Space Age Gary Lagerloef Oceanographer & Climate Scientist.
Integration Tide Gauge and Satellite Altimetry for Storm Surge and Sea Level change prediction. Ole B. Andersen and Y. Cheng (DTU, Denmark) Xiaoli Deng,
Judah Levine, NIST, Mar-2006: 1 Using g to monitor the snow pack Judah Levine John Wahr Department of Physics University of Colorado
An Assimilating Tidal Model for the Bering Sea Mike Foreman, Josef Cherniawsky, Patrick Cummins Institute of Ocean Sciences, Sidney BC, Canada Outline:
1 Status of Ring-diagram Analysis of MOTH Data Kiran Jain Collaborators: F. Hill, C. Toner.
Northern PMC brightness zonal variability and its correlation with temperature and water vapor 1* Rong, P. P., 1 Russell, J.M., 2 Randall, C.E., 3 S. M.
Arctic sea ice melt in summer 2007: Sunlight, water, and ice NSIDC Sept 2007.
Using GRACE to estimate changes in land water storage: present limitations and future potential John Wahr, Sean Swenson, Isabella Velicogna University.
A spherical Fourier approach to estimate the Moho from GOCE data Mirko Reguzzoni 1, Daniele Sampietro 2 2 POLITECNICO DI MILANO, POLO REGIONALE DI COMO.
Sea Level Change in Hong Kong and ENSO DW Zheng 1,2, XL Ding 1, YQ Chen 1, C Huang 2 1 Department of Land Surveying and Geo-Informatics Hong Kong Polytechnic.
Sea Level Change Measurements: Estimates from Altimeters Understanding Sea Level Rise and Variability June 6-9, 2006 Paris, France R. S. Nerem, University.
Secular variation in Germany from repeat station data and a recent global field model Monika Korte and Vincent Lesur Helmholtz Centre Potsdam, German Research.
Resolution (degree) and RMSE (cm) Resolution (degree) and RMSE (cm)
Cambiamento attuale: Ghiaccio e mare CLIMATOLOGIA Prof. Carlo Bisci.
1 Average time-variable gravity from GPS orbits of recent geodetic satellites VIII Hotine-Marussi Symposium, Rome, Italy, 17–21 June 2013 Aleš Bezděk 1.
Tidal hydrodynamics of the Hudson Bay and its impact in the global ocean tides L. Chevallier 1,2, D. Greenberg 3, F. Lyard 1 1 LEGOS, Toulouse, France.
Patagonia Ice Field Melting Observed by GRACE Joint International GSTM and DFG SPP Symposium, October 15-17, 2007 at GFZ Potsdam J.L. Chen 1, C.R. Wilson.
2007 OSTST meeting Y. Faugere (CLS) J. Dorandeu (CLS) F. Lefevre (CLS) Long period errors observed at Envisat crossovers and possible impact of tides.
Looking for Climate Signals in Ice Cores Santa Fe, 2011 Gerald R. North Thanks to Petr Chylek for the data and encouragement.
Tides and Tide Raising Forces. This presentation addresses five points about tides: What causes tides? Why do tide times change? Why do tide heights vary?
“Very high resolution global ocean and Arctic ocean-ice models being developed for climate study” by Albert Semtner Extremely high resolution is required.
GRACE Mascons and Hydrological Data for the Continents: GRACE ACCESS D. Rowlands (1), F. Lemoine (1), S. Luthcke (1), S. Klosko (2), D. Chinn (2), K. Akoumany.
An Overview of the Observations of Sea Level Change R. Steven Nerem University of Colorado Department of Aerospace Engineering Sciences Colorado Center.
Progress in Geoid Modeling from Satellite Missions
 We also investigated the vertical cross section of the vertical pressure velocity (dP/dt) across 70°W to 10°E averaged over 20°S-5°S from December to.
Issues in the Comparison of Ground Gravity with GRACE Data David Crossley, Saint Louis U., Dept. Earth & Atmospheric Science, 3507 Laclede Ave., St. Louis.
Physics of Surfing Waves David T. Sandwell ( Physics of waves Characteristics of waves Generation of waves by storms Wave speed.
National Aeronautics and Space Administration Jet Propulsion Laboratory California Institute of Technology Tropospheric Emission Spectrometer Studying.
GRACE Science Team Meeting October 15-17, 2007 Potsdam Germany Alternative Gravity Field Representations: Solutions, Characteristics, and Issues Michael.
The Influence of loss saturation effects on the assessment of polar ozone changes Derek M. Cunnold 1, Eun-Su Yang 1, Ross J. Salawitch 2, and Michael J.
1 Volatile Exchange on Mars Maria T. Zuber MIT David E. Smith NASA/GSFC 16 th International Workshop on Laser Ranging Poznan, Poland 13 October 2008 NASA/MRO/HiRISE.
Don Chambers Center for Space Research, The University of Texas at Austin Josh Willis Jet Propulsion Laboratory, California Institute of Technology R.
CE 401 Climate Change Science and Engineering evolution of climate change since the industrial revolution 9 February 2012
Principles of the Global Positioning System Lecture 18 Prof. Thomas Herring Room A;
2600 High Latitude Issues Data Editing AlgorithmInterestApplicability E1E2ENTPJ1J2G1C2 MSS based editingImproved data editingXXXxxxxx Fine tuned.
SeaWiFS Views Equatorial Pacific Waves Gene Feldman NASA Goddard Space Flight Center, Lab. For Hydrospheric Processes, This.
Orbit Selection for the WATER HM Mission R. S. Nerem CCAR, CIRES, University of Colorado D. P. Chambers Center for Space Research, University of Texas.
Variability of CO 2 From Satellite Retrievals and Model Simulations Xun Jiang 1, David Crisp 2, Edward T. Olsen 2, Susan S. Kulawik 2, Charles E. Miller.
Figure 1. The three overlapping study regions. The small region is centered on Disko Bay. The areas of the small, medium, and large regions (not including.
PHY 151: Lecture Motion of an Object attached to a Spring 12.2 Particle in Simple Harmonic Motion 12.3 Energy of the Simple Harmonic Oscillator.
Project presentation - Significant parameters for satellite communication.
Limits of static processing in a dynamic environment Matt King, Newcastle University, UK.
Lecture 9: Time-Response Characteristics (II) TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: AA A AAA A A A A A A A.
Sensitivity of Orbit Predictions to Density Variability
Sponge: Tell three reasons reflectors are better than refractors.
Universal Gravitation
Geodesy & Crustal Deformation
5th Workshop on "SMART Cable Systems: Latest Developments and Designing the Wet Demonstrator Project" (Dubai, UAE, April 2016) Contribution of.
Variability of CO2 From Satellite Retrievals and Model Simulations
Aquarius SSS space/time biases with respect to Argo data
CHAPTER 8 TIME AND TIME-RELATED PARAMETERS
Variability of CO2 From Satellite Retrievals and Model Simulations
CHAPTER 8 TIME AND TIME-RELATED PARAMETERS
CHAPTER 8 TIME AND TIME-RELATED PARAMETERS
Change in fresh water inflow from glaciers and rivers
Coastal Altimetry Challenges
Presentation transcript:

Using GRACE Satellite Acceleration Data to Recover Arctic Ocean Tides Bryan Killett 1, John Wahr 1, Shailen D. Desai 2, Dah-Ning Yuan 2, Mike Watkins 2, 1 University of Colorado and CIRES, Boulder, CO, USA 2 Jet Propulsion Laboratory, Pasadena, CA, USA TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: AAAAA

Quick Overview Motivation: FES 2004 is primarily based on TOPEX/Poseidon data, which does not extend north of 66° N. Thus, Arctic ocean tides are not well constrained by satellite altimetry. Relative acceleration values between the two GRACE satellites are used to solve for mass concentrations (mascons) on Earths surface. The solution method allows each mascons mass to oscillate at tidal and seasonal frequencies, as well as changing linearly. FES 2004 effects have been subtracted from the acceleration values, so the amplitudes at tidal periods represent errors in FES The mass amplitudes are converted to equivalent cm of water amplitudes.

B A MASCON GRACE relative accel. due to a mascon directly below satellites Relative acceleration > 0

MASCON GRACE relative accel. due to a mascon directly below satellites B A

MASCON GRACE relative accel. due to a mascon directly below satellites B A Relative acceleration < 0

MASCON GRACE relative accel. due to a mascon directly below satellites B A

MASCON GRACE relative accel. due to a mascon directly below satellites B A Relative acceleration > 0

GRACE relative accel. due to a mascon not below satellites

Inversion Details Smoothed residual acceleration values were averaged at 5 second intervals when satellites are north of 50° N latitude. 6 million accelerations total over 5 years. A constant offset, secular trend and amplitude/phase at seasonal and tidal periods are simultaneously solved for at each mascon. Mascons are ~230km apart; 1200 mascons cover the area north of 50° N latitude. Mascons are modeled as point masses for speed.

Simulations To test the inversion program, arbitrary mascon amplitudes were created on Earths surface. These mascons have constant values, linear trends and amplitudes at M2 and K1 periods. Next, the accelerations that GRACE would record due to these mascons were calculated using the actual times and positions of the GRACE satellites. Finally, these simulated accelerations were inverted to solve for surface mascon amplitudes using the same algorithm used for real data.

Simulation – Constant Term

Simulation – Secular Trend

Simulation – M2 (Sine)

Simulation – M2 (Cosine)

Simulation – K1 (Sine)

Simulation – K1 (Cosine)

Inversion of Real GRACE Data

Real Data – Secular Trend

Real Data – Annual Amplitude

FES 2004 – M2 Amplitude

Residual M2 Amplitude

FES 2004 – K1 Amplitude

Residual K1 Amplitude

FES 2004 – O1 Amplitude

Residual O1 Amplitude

Conclusion Existing tide models such as FES 2004 have room for improvement. GRACE is a useful tool for recovering tidal signals even at semidiurnal frequencies. Errors in FES2004 arent significantly larger north of 66°N compared to south of 66°N (the TOPEX/Poseidon turning point). Simulations suggest that the large K1 amplitudes at the north pole are not real.

Main grid points are white, and spaced 230 km apart. Supporting grid points are colored differently according to which main grid point theyre associated with. Each main grid point has 8 supporting points.

The red area contains points at which a solution is desired for region #1. In order to properly account for gravity due to mascons in the green area, stack accelerations are loaded from both red and green regions. Mascons in the red AND green regions are then solved for, but only mascons in the red region are saved.

Notice that the red areas do not overlap, while the green areas do overlap. The green overlap areas represent computational waste, but they help reduce edge effects. This region can be larger than the 1 st polar region because GRACEs ground track density is higher at the poles, making polar region computations lengthy.