Remko Scharroo – Coastal Altimeter Workshop – Silver Spring, Maryland – 5-7 February 2008 Remko Scharroo, Altimetrics LLC, Cornish, New Hampshire with.

Slides:



Advertisements
Similar presentations
OVERVIEW OF THE IMPROVEMENTS MADE ON THE EMPIRICAL DETERMINATION OF THE SEA STATE BIAS CORRECTION S. Labroue, P. Gaspar, J. Dorandeu, F. Mertz, N. Tran,
Advertisements

ECCO-2 and NASA Satellite Missions Lee-Lueng Fu Jet Propulsion Laboratory January 22-23, ECCO-2 Meeting.
Draft Recommendations subtitle here. Recommendation 1 The study groups from this workshop continue to collaborate with the goal of reporting progress.
1 Internal waves and tidal energy dissipation observed by satellite altimetry E. Schrama, TU Delft / Geodesy The Netherlands
Application of coastal altimetry to storm surge studies Paolo Cipollini National Oceanography Centre, UK Global Storm Surge Networking Forum, Venice,
26/11/2012 – Observatoire de Paris Analysis of wind speed evolution over ocean derived from altimeter missions and models M. Ablain (CLS)
Coastal Altimetry Meeting, Silver Spring, 5-7 February 2008Page n° 1/19 The wet tropospheric correction for coastal altimetry T. Strub S. Brown F. Mercier.
Global Storm Surge User Forum - Venice – November particular thanks also go to data providers (ESA, CNES, CTOH, ISPRA and ICPSM, etc.) with invaluable.
Clima en España: Pasado, presente y futuro Madrid, Spain, 11 – 13 February 1 IMEDEA (UIB - CSIC), Mallorca, SPAIN. 2 National Oceanography Centre, Southampton,
SAR Altimetry in Coastal Zone: Performances, Limits, Perspectives Salvatore Dinardo Serco/ESRIN Bruno Lucas Deimos/ESRIN Jerome Benveniste ESA/ESRIN.
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.
- 1- Quality of real time altimeter products OSTST, Hobart, March 2007 Quality of real time altimeter products impact of the delay G.Larnicol, G. Dibarboure,
Page 1 Singular Value Decomposition applied on altimeter waveforms P. Thibaut, J.C.Poisson, A.Ollivier : CLS – Toulouse - France F.Boy, N.Picot : CNES.
MR P.Durkee 5/20/2015 MR3522Winter 1999 MR Remote Sensing of the Atmosphere and Ocean - Winter 1999 Active Microwave Radar.
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.
Monitoring the Global Sea Level Rise Budget with Jason, Argo and GRACE Observations Eric Leuliette and Laury Miller NOAA/Laboratory for Satellite Altimetry.
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.
Development of an “end-to-end” altimeter mission simulator Alix Lombard - Juliette Lambin (CNES) Laurent Roblou – Julien Lamouroux (NOVELTIS)
Coastal Altimetry Workshop - February 5-7, 2008 CNES initiative for altimeter processing in coastal zone : PISTACH Juliette Lambin – Alix Lombard Nicolas.
1 Assessment of Geoid Models off Western Australia Using In-Situ Measurements X. Deng School of Engineering, The University of Newcastle, Australia R.
OC3522Summer 2001 OC Remote Sensing of the Atmosphere and Ocean - Summer 2001 Active Microwave Radar.
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.
GEOF334 – Spring 2010 Radar Altimetry Johnny A. Johannessen Nansen Environmental and Remote Sensing Center, Bergen, Norway.
Development of coastal altimetry and perspectives for data assimilation in coastal domain Matthieu Le Hénaff (1) and many more… (1) RSMAS, Miami, FL.
IMPROVEMENT OF GLOBAL OCEAN TIDE MODELS IN SHALLOW WATER REGIONS Altimetry for Oceans and Hydrology OST-ST Meeting Poster Number: SV Yongcun Cheng,
Resolution (degree) and RMSE (cm) Resolution (degree) and RMSE (cm)
Mapping Ocean Surface Topography With a Synthetic-Aperture Interferometry Radar: A Global Hydrosphere Mapper Lee-Lueng Fu Jet Propulsion Laboratory Pasadena,
Is sea level rise larger near the coast? Remko Scharroo Altimetrics LLC, Cornish, New Hampshire Eric Leuliette and Laury Miller NOAA / Laboratory for Satellite.
Philip Moore Jiasong Wang School of Civil Engineering and Geosciences University of Newcastle upon Tyne Newcastle upon Tyne NE1 7RU
OSTST Hobart 2007 – Performance assessment Jason-1 data M.Ablain, S.Philipps, J.Dorandeu, - CLS N.Picot - CNES Jason-1 GDR data Performance assessment.
Radar Altimeter Data Base System (RADS) -- producing a consistent set of climate-grade observations spanning multiple satellite missions Altimeter/Tide.
Enhancing predictability of the Loop Current variability using Gulf of Mexico Hycom Matthieu Le Hénaff (1) Villy Kourafalou (1) Ashwanth Srinivasan (1)
GFO Cal/Val Meeting Silver Spring, Md 12 June 2001 J. McMillan Software Process Engineering Consulting Services.
The roles of conventional nadir altimeter on SWOT The most fundamental need for a nadir altimeter is for calibration/validation of KaRIN SSH measurement.
Altimetry for coastal oceanography in Australia -an assessment of PISTACH David Griffin, Madeleine Cahill, Jim Mansbridge, Neil White.
Improved Satellite Altimeter data dedicated to coastal areas :
E. Schrama TU Delft, DEOS Error characteristics estimated from CHAMP, GRACE and GOCE derived geoids and from altimetry derived.
Ocean Surface Topography Science Team, Reston, VA, USA, October, 2015 References Feng et al., Splin based nonparametric estimation of the altimeter.
Jason-1/Envisat cross-calibration Y. Faugere (CLS) J. Dorandeu (CLS) N. Picot (CNES) P. Femenias (ESA) Jason-1 / Envisat Cross-calibration.
Local and global calibration/validation P. Bonnefond, S. Desai, B. Haines, S. Nerem and N. Picot Jason-1 - T/P Sea Surface Height Formation Flying Phase.
Joint OS & SWH meeting in support of Wide-Swath Altimetry Measurements Washington D.C. – October 30th, 2006 Baptiste MOURRE ICM – Barcelona (Spain) Pierre.
New improvements on the Dynamic Atmospheric Corrections L. Carrère, F. Lefèvre, F. Briol, J. Dorandeu (CLS), L. Roblou, E. Jeansou, G. Jan (Noveltis),
Improved Marine Gravity from CryoSat and Jason-1 David T. Sandwell, Emmanuel Garcia, and Walter H. F. Smith (April 25, 2012) gravity anomalies from satellite.
Inverse Barometer correction comparison for Envisat mission between Corrections based on JRA-55 and ERA-Interim atmospheric reanalyses The JRA-55 correction.
Validation of the TMR and JMR Wet Path delay Measurements using GPS, SSM/I, and TMI Shailen Desai Shannon Brown Bruce Haines Wenwen Lu Victor Zlotnicki.
1 July 20, 2000 Geosat Follow-On An examination from an operational point of view Impact on operational products Overall system performance (from sensor.
WP120 External Calibration of Spaceborne Microwave Remote Sensing System Sensors Objective:Evaluation of external calibration needs for a variety of microwave.
6/14/2016AOMIP Sea level Atlantic-to-Arctic: an examination of the altimeter record Gennady Chepurin and James Carton Dept. Atmospheric and Ocean.
C. Shum, C. Zhao, Y. Yi, and P. Luk The Ohio State University GFO Calibration/Validation Meeting NOAA Laboratory for Satellite Altimetry Silver Spring,
Validation strategy MARCDAT-III meeting - Frascati, Italy - May 2011 The validation phase to compare all the algorithms together and to select the best.
ESA Climate Change Initiative Sea-level-CCI project A.Cazenave (Science Leader), G.Larnicol /Y.Faugere(Project Leader), M.Ablain (EO) MARCDAT-III meeting.
L. Carrère, Y. Faugère, E. Bronner, J. Benveniste
(2) Norut, Tromsø, Norway Improved measurement of sea surface velocity from synthetic aperture radar Morten Wergeland Hansen.
L. Carrère, F. Lyard, M. Cancet, L. Roblou, A. Guillot
Can fully-focused altimeter range data provide enhanced detection of coastal currents in the Nova Scotia Shelf?: Preliminary diagnosis Hui Feng1, Alejandro.
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
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
Spatial and temporal Variability
Presentation transcript:

Remko Scharroo – Coastal Altimeter Workshop – Silver Spring, Maryland – 5-7 February 2008 Remko Scharroo, Altimetrics LLC, Cornish, New Hampshire with contributions from Hu Feng and Laurent Roublou and others Coastal Altimeter Workshop Silver Spring, Maryland, 5–7 February 2008 Radar Altimeter Data Corrections and Editing in Coastal Regions

Remko Scharroo – Coastal Altimeter Workshop – Silver Spring, Maryland – 5-7 February 2008 Issues Are corrections sufficient for coastal applications? –Are corrections for open oceans only? –Can they be applied in coastal areas? –What corrections are particularly affected? –Are there alternatives? –Are alternatives available on the products? Can we use standard edit criteria? –Can we use edit criteria that are tailored to open oceans? –Do we need to restrict edit criteria? –Do we need to relax edit criteria? –Is all information available for editing the data?

3

Remko Scharroo – Coastal Altimeter Workshop – Silver Spring, Maryland – 5-7 February 2008 Jason-1 and Envisat Editing

Remko Scharroo – Coastal Altimeter Workshop – Silver Spring, Maryland – 5-7 February 2008 Jason-1 and Envisat Editing

Remko Scharroo – Coastal Altimeter Workshop – Silver Spring, Maryland – 5-7 February 2008 Jason-1 and Envisat Editing cm cm

Remko Scharroo – Coastal Altimeter Workshop – Silver Spring, Maryland – 5-7 February 2008 Jason-1 and Envisat Editing cm

Remko Scharroo – Coastal Altimeter Workshop – Silver Spring, Maryland – 5-7 February 2008 Jason-1 and Envisat Editing

Remko Scharroo – Coastal Altimeter Workshop – Silver Spring, Maryland – 5-7 February 2008 Jason-1 and Envisat Editing

Remko Scharroo – Coastal Altimeter Workshop – Silver Spring, Maryland – 5-7 February 2008 Jason-1 and Envisat Editing

Remko Scharroo – Coastal Altimeter Workshop – Silver Spring, Maryland – 5-7 February 2008 Jason-1 and Envisat Editing

Remko Scharroo – Coastal Altimeter Workshop – Silver Spring, Maryland – 5-7 February 2008 Jason-1 and Envisat Editing

Remko Scharroo – Coastal Altimeter Workshop – Silver Spring, Maryland – 5-7 February 2008 Jason-1 and Envisat Editing cm cm

Remko Scharroo – Coastal Altimeter Workshop – Silver Spring, Maryland – 5-7 February 2008 Jason-1 and Envisat Editing m m

Remko Scharroo – Coastal Altimeter Workshop – Silver Spring, Maryland – 5-7 February 2008 Jason-1 and Envisat Editing dB

16 Table 1. Data dropout statistics of mission-long altimeter (TOPEX and Jason1 ) SSHA measurements in the GOM {40,45} in lat and {-71.5, -64} in lon TOPEXTOPEX( TDM )Jason-1 Total SSH measurements Rejected SSH29896(21%)11137(26%)20811(29%) Orbital altitude, GCM02C(m) TMR wet tropospheric corr (m)8058(5.5%)2823(6.7%) JMR wet tropospheric corr (m)118 (<1%) Dual-freq ionospheric correction7950(5.5%)2450(5.8%)1000(1.4%) Sea State Bias, Chambers,BM4826(<1%)102(<1%)1619(2.2%) Hs-Ku outside the range{0,8}[m]7125(4.9%)2161(5.1%)374 (<1%) Sigma-0 Ku outside {6,27} [db]3125(2.1%)690 (1.6%)151(<1%) Std of range(10HzKu) : {0,0.15}[m]11504(7.9%)3303(7.8%) Std of range(20HzKu) : {0,0.15}[m]1204(1.7%) # of 10Hz Ku range meas: {8.5, 10.5}15898(11%)4595(10.8%) # of 20Hz Ku range meas: {15.5, 20.5}3664(5.1%) Engineering flags29339(20%)10964(25.6%)17647(24.4%) Std of Hs(10Hz-Ku) outside{0,0.09}[m]7642(5.2%)1996(4.7%) Std of Hs(20Hz-Ku) outside{0,0.09}[m]1526(2.1%)

17

18

NEW PROCESSING STRATEGIES FOR ALTIMETRY IN COASTAL AREAS Laurent ROBLOU In collaboration with: Jérôme BOUFFARD, Stéfano VIGNUDELLI, Florent LYARD, Matthieu Le Hénaff, Julien LAMOUROUX

New processing strategies for altimetry in coastal regions Roblou et al.06/02/ Satellite altimetry in the coastal domain Is satellite altimetry possible in the coastal domain? Problems Increased space/time sub-sampling:  Shorter horizontal scales  Amplified high frequencies Increased error budget Increased loss of data Solutions New sensors Multi-mission approach Improve data post-processing

New processing strategies for altimetry in coastal regions Roblou et al.06/02/ Data post-processing: example of the X-TRACK processor The objective of the X-TRACK processor is to improve both the quantity and quality of altimeter sea surface measurements in coastal regions: Features: redefining the data editing strategy to minimize the loss of data during the correction phase using improved local modelling of tidal and short-period atmospheric forcing Using an accurate mean sea level consistent with the coastal data set

New processing strategies for altimetry in coastal regions Roblou et al.06/02/ X-TRACK historical playground: NW Mediterranean Sea

New processing strategies for altimetry in coastal regions Roblou et al.06/02/ X-TRACK features: a new data editing strategy (1) The X-TRACK processor adopts a new data screening strategy and filtering techniques allowing to recover data that would otherwise be flagged as bad De-flagging and re-interpolation of each single correction yields a reconstructed level profile. Circles: uncorrected sea level anomalies (SLA) and original corrections from the AVISO Geophysical Data Records (GDR). Brown line: SLA after application of the standard corrections from the GDR. Purple line: the new SLA profile computed with X- TRACK processor Roblou (2004)

New processing strategies for altimetry in coastal regions Roblou et al.06/02/ X-TRACK features: a new data editing strategy (2) number of T/P cycles exploitable X-TRACK SLA productAVISO DT-(M) SLA product Cal/Val sites

New processing strategies for altimetry in coastal regions Roblou et al.06/02/ X-TRACK features: a new data editing strategy (3) More altimeter data near to and far from the coast Coherent behaviour for ascending/descending passes Time series are longer (+10%) and less noisy (-7%) Bouffard et al. Gulf of Lion X-TRACK SLA AVISO DT-(M) SLA Lack of coastal data North 44° 43° 42° North 3° 4° 5°

New processing strategies for altimetry in coastal regions Roblou et al.06/02/ X-TRACK features: regional de-aliasing corrections (1) Issues: Aliasing of the tides and short-period ocean response to meteorological forcing is a major problem when estimating the seasonal or longer time scales oceanic circulations in altimeter data Because of their insufficient spatial resolution that implies unresolved rapid changes in tidal features and an incorrect frictional dissipation, current global model cannot represent tides over continental shelves below a decimetre error level. Solution: defining regional modelling of tides and ocean response to atmospheric forcing. T-UGO 2D model (Mog2D model follow-on) for both processes

New processing strategies for altimetry in coastal regions Roblou et al.06/02/ X-TRACK features: regional de-aliasing corrections (1) LEGOS regional models Caspian Sea Amazonian shelf

New processing strategies for altimetry in coastal regions Roblou et al.06/02/ X-TRACK features: regional de-aliasing corrections (2) M2 mean error: 1.3 cm rms (TG), 0.8 cm rms (ALT) K1 mean error: 1.0 cm rms (TG), 0.9 cm rms (ALT) Roblou (2003) Mog2D tidal regional models M2 mean error: 28.4 cm (TG), 5.3 cm (ALT) K1 mean error: 1.7 cm (TG), 1.2 cm (ALT) M4 mean error: 5.7 cm (TG), 1.2 cm (ALT) Letellier (2004),

New processing strategies for altimetry in coastal regions Roblou et al.06/02/ X-TRACK features: regional de-aliasing corrections (3) Comparisons to tide gauges data: Gain vs IB: 46% Gain vs Mog2D-G correction: 5% Similar results w.r.t altimetry (Bouffard) Lyard and Roblou (2004) Response to wind and atmospheric pressure forcing Mog2D model

New processing strategies for altimetry in coastal regions Roblou et al.06/02/ X-TRACK features: an accurate mean sea level (1) Until accurate estimates of the geoid small- and meso-scales undulations become available, the dynamic topography of the ocean is not fully accessible in the altimeter measurements. Thus, the ocean mean sea surface provides an alternative reference surface, suitable for the observation of the ocean variability. Standard MSS products are not accurate in coastal regions Solutions: Higher resolution MSS (including across-track effects) computed from an inverse method MSS consistent with the improved altimeter products

New processing strategies for altimetry in coastal regions Roblou et al.06/02/ X-TRACK features: an accurate mean sea level (2) Sea level anomalies versus latitude SLA=SSH-MSS CLS01 SLA=SSH-MSS X-TRACK Difference coast MSS CLS01 Jason-1 pass 009 MSS X-TRACK MSS products comparisons

New processing strategies for altimetry in coastal regions Roblou et al.06/02/ X-TRACK work in progress : orbit error reduction Time evolution of the mean along-track SLA, GFO 074 Step 1: Raw signal vs Low Frequency (LF) signal, Step 2: Localization and elimination of the outliers: 3 σ filtering of the High frequency signal, Step 3: Re-building of the total corrected signal: linear regression. Bouffard et al

New processing strategies for altimetry in coastal regions Roblou et al.06/02/ X-TRACK work in progress: high rate data stream Averaged along-track spatial spectrum, T/P track 146. Bouffard et al

Remko Scharroo – Coastal Altimeter Workshop – Silver Spring, Maryland – 5-7 February 2008 Corrections MWR correction –MWR correction breaks down close to the coast –Jason-1 has particularly large footprint –Envisat MWR land flag leaves land affected data Models –Beware of land effects in dry tropo, wet tropo and MOG2D models Recommendations –Data bases should attempt to incorporate MWR extension near coast –Land effects in model atmospheric corrections should be avoided by using pressure and total water vapour to sea level

Remko Scharroo – Coastal Altimeter Workshop – Silver Spring, Maryland – 5-7 February 2008 Editing Flags –Open ocean flags can generally be used –Use MWR land flag with caution; use it to transition to model Edit criteria –Open ocean edit criteria can generally be used in coastal regions –Keep zero and “negative” SWH (calm seas) Multi-Hertz data –Given the footprint size, sampling distance, measurement noise and typical length scales of ocean dynamics, multi-Hertz data are not very useful for coastal purposes Recommendations –Data bases should recommend editing criteria tailored to coastal regions