Resolution (degree) and RMSE (cm) Resolution (degree) and RMSE (cm)

Slides:



Advertisements
Similar presentations
ECCO-2 and NASA Satellite Missions Lee-Lueng Fu Jet Propulsion Laboratory January 22-23, ECCO-2 Meeting.
Advertisements

ECOOP Meeting March 14-21, 2005 ECOOP WP7 Pierre-Yves LE TRAON Better use of remote sensing and in-situ observing systems for coastal/regional seas Objective.
Draft Recommendations subtitle here. Recommendation 1 The study groups from this workshop continue to collaborate with the goal of reporting progress.
26/11/2012 – Observatoire de Paris Analysis of wind speed evolution over ocean derived from altimeter missions and models M. Ablain (CLS)
Large scale sea level variation in the Arctic Ocean from Cryosat-2 SAR altimetry (and ERS1/ERS2/ENVISAT). Ole Baltazar Andersen Per Knudsen Lars Stenseng.
Present-Day Sea Level Change Present-Day Sea Level Change Assessment and Key Uncertainties Anny Cazenave Anny Cazenave LEGOS, Toulouse.
Coastal Altimetry Workshop February 5-7, 2008 Organized by: Laury Miller, Walter Smith: NOAA/NESDIS Ted Strub, Amy Vandehey: CIOSS/COAS/OSU With help from.
Remko Scharroo – Coastal Altimeter Workshop – Silver Spring, Maryland – 5-7 February 2008 Remko Scharroo, Altimetrics LLC, Cornish, New Hampshire with.
WATER HM maating, Washington, DC 2007 Tidal corrections for the WATER mission F. Lyard LEGOS, CNRS, Toulouse.
Xiaochun Wang Influence of Stratification on Semidiurnal Tides in Monterey Bay, California & Coastal Barotropic Tide Solutions Contributions from: JPL.
Spatial-Temporal Parametric Model with Covariance Structure based on Multiple Satellite Altimetry for Predicting and Interpolating Sea Surface Heights.
ASIC**3 Workshop -- May 2006 Measuring Global Sea Level Rise With Satellite Radar Altimetry ASIC**3 Workshop -- May 2006 Laury Miller NOAA/NESDIS Lab for.
Surface Water and Ocean Topography Mission (SWOT)
Sea Level Change Observation Status on the elements of the puzzle Christian Le Provost LEGOS / CNRS Toulouse, France.
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.
Chapter 8: Measuring sealevel. Sea Level and Pressure Pressure and sea level measurements are of special interest in geophysical studies, and few other.
GLOSS - The Global Sea Level Observing System Global Level of the Sea Surface 1. Monitoring and Measuring.
Integration Tide Gauge and Satellite Altimetry for Storm Surge and Sea Level change prediction. Ole B. Andersen and Y. Cheng (DTU, Denmark) Xiaoli Deng,
HY-2A Satellite Altimetric data Evaluation in the Arctic Ocean Yongcun Cheng Ole Baltazar Andersen.
ODINAFRICA/GLOSS Sea Level Training Course
WP3.1-ECOOP First annual meeting - Athens T3.1 Optimal synergy between altimetry and in-situ data Claire Dufau (1) Enrique Alvarez (2), Ole B. Andersen.
Sea-ice freeboard heights in the Arctic Ocean from ICESat and airborne laser H. Skourup, R. Forsberg, S. M. Hvidegaard, and K. Keller, Department of Geodesy,
Coastal Altimetry Workshop - February 5-7, 2008 CNES initiative for altimeter processing in coastal zone : PISTACH Juliette Lambin – Alix Lombard Nicolas.
Multi-Satellite Remote Sensing of Global Surface Water Extent and Volume Change. Fabrice PAPA (1), Catherine PRIGENT (2), William B. ROSSOW (1), Elaine.
Satellite Altimetry - possibilities and limitations
ESEOO meeting, Santiago de Compostela, january 2007 Improved satellite altimetry for the observation of shelf/coastal dynamics The Margins Altimetry Projects.
Sea Level Change Measurements: Estimates from Altimeters Understanding Sea Level Rise and Variability June 6-9, 2006 Paris, France R. S. Nerem, University.
1 20 th century sea-Level change. The Earth’s ice is melting, sea level has increased ~3 inches since 1960 ~1 inch since signs of accelerating melting.
Modelling 1: Basic Introduction. What constitutes a “model”? Why do we use models? Calibration and validation. The basic concept of numerical integration.
IMPROVEMENT OF GLOBAL OCEAN TIDE MODELS IN SHALLOW WATER REGIONS Altimetry for Oceans and Hydrology OST-ST Meeting Poster Number: SV Yongcun Cheng,
Data management: Data sources & Quality control. Sea level measurements.
Towards improved GRACE de-aliasing - first results from dynamical and residual ocean tide analysis Wolfgang Bosch 1), Detlef Stammer 2), Frank Flechtner.
Mapping Ocean Surface Topography With a Synthetic-Aperture Interferometry Radar: A Global Hydrosphere Mapper Lee-Lueng Fu Jet Propulsion Laboratory Pasadena,
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.
2007 OSTST meeting Y. Faugere (CLS) J. Dorandeu (CLS) F. Lefevre (CLS) Long period errors observed at Envisat crossovers and possible impact of tides.
Seasonal Terrestrial Water Storage Change and Global Mean Sea Level Variation Jianli Chen 1 and Clark Wilson 1,2 Center for Space Research, The University.
Radar Altimeter Data Base System (RADS) -- producing a consistent set of climate-grade observations spanning multiple satellite missions Altimeter/Tide.
Model and experiment setup The Navy Coastal Ocean Model (NCOM) is used for numerical simulation of the sea level response to tidal forcing. The NCOM is.
Improved Satellite Altimeter data dedicated to coastal areas :
Integration Tide Gauge and Satellite Altimetry for Storm Surge and Sea Level change prediction. Ole B. Andersen,Y. Cheng (DTU, Denmark) X. Deng, M. Steward,
Regional Enhancement of the Mean Dynamic Topography using GOCE Gravity Gradients Matija Herceg 1 and Per Knudsen 1 1 DTU Space, National Space Institute,
Ocean processes affecting ice-cover in the Arctic, and their impact on hydrocarbon exploration William Crawford Eddy Carmack Josef Cherniawsky Institute.
Joint OS & SWH meeting in support of Wide-Swath Altimetry Measurements Washington D.C. – October 30th, 2006 Baptiste MOURRE ICM – Barcelona (Spain) Pierre.
International Symposium on Gravity, Geoid and Height Systems GGHS 2012, Venice, Italy 1 GOCE data for local geoid enhancement Matija Herceg Per Knudsen.
Measuring Sea Level Change. Overview What is Sea Level? Mean – Arithmetic average Mean sea level – The average sea level over a large region Mean high.
2600 High Latitude Issues Data Editing AlgorithmInterestApplicability E1E2ENTPJ1J2G1C2 MSS based editingImproved data editingXXXxxxxx Fine tuned.
An Ocean Tidal Inverse Model For Antarctic Ice Shelves:
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Closing the Global Sea Level.
New improvements on the Dynamic Atmospheric Corrections L. Carrère, F. Lefèvre, F. Briol, J. Dorandeu (CLS), L. Roblou, E. Jeansou, G. Jan (Noveltis),
A. Bonaduce, N. Pinardi Mediterranean Sea level reconstruction during the last century A. Bonaduce (1), N. Pinardi (2) (1) Centro Euro-Mediterraneo per.
A. Bonaduce, N. Pinardi Mediterranean Sea level recostruction during the last century A. Bonaduce (1), N. Pinardi (2) (1) Centro Euro-Mediterraneo per.
ESA Living Planet Symposium 28 June - 2 July 2010, Bergen, Norway A. Albertella, R. Rummel, R. Savcenko, W. Bosch, T. Janjic, J.Schroeter, T. Gruber, J.
The OC in GOCE: A review The Gravity field and Steady-state Ocean Circulation Experiment Marie-Hélène RIO.
GOCE geoids and derived Mean Dynamic Topography in the Arctic Ocean Ole B. Andersen & Per Knudsen. DTU Space – Copenhagen, Denmark.
Validation strategy MARCDAT-III meeting - Frascati, Italy - May 2011 The validation phase to compare all the algorithms together and to select the best.
The validation and user assessment of the SL-CCI products has been performed through: - Internal consistency check and comparison with in-situ data. -
ESA Climate Change Initiative Sea-level-CCI project A.Cazenave (Science Leader), G.Larnicol /Y.Faugere(Project Leader), M.Ablain (EO) MARCDAT-III meeting.
(2) Norut, Tromsø, Norway Improved measurement of sea surface velocity from synthetic aperture radar Morten Wergeland Hansen.
Evaluation of operational altimeter-derived ocean currents for shelf sea applications: a case study in the NW Atlantic D. Vandemark1, H. Feng1, and.
L. Carrère, F. Lyard, M. Cancet, L. Roblou, A. Guillot
Ole B. Andersen, Adil Abulaitijiang M. Idzanovic and O. Vegard (NMBU)
Virginia Institute of Marine Sciences College of William and Mary
Objectives and Requirements of SWOT for Observing the Oceanic Mesoscale Variability (based on a workshop held at Scripps Institution of Oceanography, April.
Corinne James, Martin Saraceno, Remko Scharoo
GLOSS - The Global Sea Level Observing System
Altimeter sea level anomaly data in the Middle Atlantic Bight and the Gulf of Maine Assessment and application H. Feng1, D. Vandemark1, R. Scharroo2,
Coastal Altimetry Challenges
CMOD Observation Operator
The next 3 figures are from the Ocean Pathfinder Project at NASA/GSFC The next 3 figures are from the Ocean Pathfinder Project at NASA/GSFC. Compliments.
Spatial and temporal Variability
Presentation transcript:

Resolution (degree) and RMSE (cm) Resolution (degree) and RMSE (cm) Introduction A new global ocean tide model DTU10 is proposed based on an extended FES2004 (Finite Element Solutions), with residual tide determined using the ‘response method’ (Munk and Cartwright, 1966). Seventeen years (1992-2009) multi-mission altimetry measurements with special correction criterions are applied in order to get improved sea level residuals in shallow water regions. Both seventeen years phase A and four years of phase B data from TOPEX/POSEIDON and Jason-1/2 are merged for the development of the new global tide model. Applying the response analysis to the tide residuals, the harmonic coefficients correspond to the new global ocean tide model is developed. The new global tide model is validated with several tide gauge datasets (e.g. Ray deep water stations, World Ocean Circulation Experiment (WOCE)). Compared with the FES2004 reference model and other existing global ocean tide models, the harmonic constituents for the principle constitutes (M2, S2, K1, O1) from the new tide model fit the tide gauges measurements favorable over the Northwest European Shelf region. Data The data used for developing the new global tide model consist of 17 years of sea level data from multi-mission satellite altimeter from September 1992 to December 2009. The combination of T/P, J1 and J2 satellites is selected because it gives more accurate and consistent sea level data compared with other satellites, i.e. ERS, Envisat. Different with the FES2004, both phase A and four years of phase B sea level data are applied in order to get improved global sea level residuals. The altimeter sea level data are retrieved from Radar Altimeter Database System (RADS) database. As the reference global tide model, the FES2004 is applied to remove tide signals from altimeter sea level data. Method In this study, the FES2004 is extended to the coast regions to fill the gap in the reference model in these regions. The response method is applied to residual analysis and the dynamic interpolation method is used to perform interpolate the along track data to FES2004 grid. Applying the extended FES2004 and the response analysis to the multi-mission altimeter tide residuals, the harmonic coefficients correspond to the new global ocean tide model is developed. Over the past few decades years, many efforts have been devoted to study the shallow water tides and tidal corrections the NES region. The magnitude of the shallow water constituent is largely dependent on the tidal regime and the water depth, and the amplitudes are generally only important in the NES regions. The comparison between the DTU10 global tide model and tide gauge measurements are shown over the NES region in this study. Results Table 1 Comparisons of the harmonic constituents for the principle constitutes (M2, S2, K1, O1) from the new tide model with the tide gauge measurements in deep water. Compared with other existing tide models, the new developed DTU10 tide model fit the measurements from 102 tide gauge stations in deep ocean better with lower root mean square errors . Talble2 Same as Table 1 but for the NES regions. Figure 1 show the real part and image part for the principle constitutes (M2, S2, K1, O1) from the new tide model fit the tide gauges measurements. The figures show that the new DTU10 global tide model fit the tide gauge measurements well over the NES regions. Table 1 Validation of the DTU10 tide model in deep water Table 2 Validation of the DTU10 tide model in shallow water Dataset and Number Wave Resolution (degree) and RMSE (cm) DTU10 FES2004 EOT10a TPXO7.2 GOT4.7 0.125 0.25 0.5 ST-102 (102) M2 S2 K1 O1 1.23 0.87 1.07 0.91 1.33 0.89 1.09 0.93 1.30 1.05 1.29 1.20 0.94 0.92 1.12 0.97 RSS 2.06 2.15 2.09 2.19 2.17 Dataset and Number Wave Resolution (degree) and RMSE (cm) DTU10 FES2004 EOT10a TPXO7.2 GOT4.7 0.125 0.25 0.5 NES (195) M2 S2 K1 O1 12.55 8.08 1.43 1.09 14.63 9.15 1.65 1.21 14.18 8.65 1.59 1.36 15.13 6.80 1.56 16.40 7.98 1.51 1.30 RSS 15.03 17.38 16.74 16.70 18.35 Figure 1 The real part and image part of the principle constitutes from the DTU10 tide model and tide gauge measurements at NES regions The colors denote real part and image part of ocean tide solution and the reference ground truth data. The pluses denote the locations of tide gauge. References Andersen, O. B. (1999), Shallow water tides in the northwest European shelf region from Topex/Poseidon altimetry, J. Geophys. Res., 104(C4), 7729–7741. Andersen, O. B., and P. Knudsen, 2009, DNSC08 mean sea surface and mean dynamic topography models, J. Geophys. Res., 114, C11001, doi:10.1029/2008JC005179. Munk, W. H. and D. E. Cartwright, 1966, Tidal Spectroscopy and Prediction. Philos. Trans. R. Soc. London, A, 259:533-583. Lyard, F., F. Lefèvre, T. Letellier and O. Francis, (2006) , Modelling the global ocean tides: a modern insight from FES2004, Ocean Dynamics, 56, 394-415,.