Ocean Surface Topography Mission/Jason-2 Watching Over Our Ocean Acknowledgments
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OSTM/Jason-2 Products Handbook
OSTM/Jason-2 Products Handbook References: CNES : SALP-MU-M-OP-15815-CN EUMETSAT : EUM/OPS-JAS/MAN/08/0041 JPL: OSTM-29-1237 NOAA : Issue: 1 rev 0 Date: 17 June 2008 OSTM/Jason-2 Products Handbook Iss :1.0 - date : 17 June 2008 i.1 Chronology Issues: Issue: Date: Reason for change: 1rev0 June 17, 2008 Initial Issue People involved in this issue: Written by (*) : Date J.P. DUMONT CLS V. ROSMORDUC CLS N. PICOT CNES S. DESAI NASA/JPL H. BONEKAMP EUMETSAT J. FIGA EUMETSAT J. LILLIBRIDGE NOAA R. SHARROO ALTIMETRICS Index Sheet : Context: Keywords: Hyperlink: OSTM/Jason-2 Products Handbook Iss :1.0 - date : 17 June 2008 i.2 List of tables and figures List of tables: Table 1 : Differences between Auxiliary Data for O/I/GDR Products 1 Table 2 : Summary of error budget at the end of the verification phase 9 Table 3 : Main features of the OSTM/Jason-2 satellite 11 Table 4 : Mean classical orbit elements 16 Table 5 : Orbit auxiliary data 16 Table 6 : Equator Crossing Longitudes (in order of Pass Number) 18 Table 7 : Equator Crossing Longitudes (in order of Longitude) 19 Table 8 : Models and standards 21 Table 9 : CLS01 MSS model characteristics 22 Table 10 : CLS Rio 05 MDT model characteristics 23 Table 11 : Recommended editing criteria 26 Table 12 : Recommended filtering criteria 26 Table 13 : Recommended additional empirical tests 26 Table 14 : Main characteristics of (O)(I)GDR products 40 Table 15 - Dimensions used in the OSTM/Jason-2 data sets 42 Table 16 - netCDF variable type 42 Table 17 - Variable’s attributes 43 List of figures: Figure 1 -
Ocean Surface Topography Altimetry by Large Baseline Cross-Interferometry from Satellite Formation
remote sensing Article Ocean Surface Topography Altimetry by Large Baseline Cross-Interferometry from Satellite Formation Weiya Kong 1,2, Bo Liu 2,*, Xiaohong Sui 2, Running Zhang 3 and Jinping Sun 1 1 School of Electronic and Information Engineering, Beihang University, Beijing 100191, China; [email protected] (W.K.); [email protected] (J.S.) 2 Qian Xuesen Laboratory of Space and Technology, Beijing 100094, China; [email protected] 3 Beijing Institute of Spacecraft System Engineering, Beijing 100094, China; [email protected] * Correspondence: [email protected]; Tel.: +86-010-6811-3401 Received: 21 September 2020; Accepted: 26 October 2020; Published: 27 October 2020 Abstract: Imaging Radar Altimeter (IRA) is the current development tendency for ocean surface topography (OST) altimetry,which utilizes Synthetic Aperture Radar (SAR) and interferometry to improve the spatial resolution of OST to several kilometers or even better. Meanwhile, centimetric altimetry accuracy should be guaranteed for applications such as geostrophic currents or marine gravity anomaly inversion. However, the baseline length of IRA which determines the altimetric sensitivity is confined by the satellite platform, in consideration of baseline vibration and payload capability. Therefore, the baseline length from a single satellite can extend to only tens of meters, making it difficult to achieve centimetric accuracy. Referring to the successful experience from TerraSAR-X/TanDEM-X, satellite formation can easily extend the baseline length to hundreds or thousands of meters, depending on the helix orbit. Therefore, we propose the large baseline IRA (LB-IRA) from satellite formation for OST altimetry: the carrier frequency shift (CFS) is brought in to compensate for the severe baseline decorrelation, and the helix orbit is carefully selected to prevent severe time decorrelation from along-track baseline. -
Estimating Gale to Hurricane Force Winds Using the Satellite Altimeter
VOLUME 28 JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY APRIL 2011 Estimating Gale to Hurricane Force Winds Using the Satellite Altimeter YVES QUILFEN Space Oceanography Laboratory, IFREMER, Plouzane´, France DOUG VANDEMARK Ocean Process Analysis Laboratory, University of New Hampshire, Durham, New Hampshire BERTRAND CHAPRON Space Oceanography Laboratory, IFREMER, Plouzane´, France HUI FENG Ocean Process Analysis Laboratory, University of New Hampshire, Durham, New Hampshire JOE SIENKIEWICZ Ocean Prediction Center, NCEP/NOAA, Camp Springs, Maryland (Manuscript received 21 September 2010, in final form 29 November 2010) ABSTRACT A new model is provided for estimating maritime near-surface wind speeds (U10) from satellite altimeter backscatter data during high wind conditions. The model is built using coincident satellite scatterometer and altimeter observations obtained from QuikSCAT and Jason satellite orbit crossovers in 2008 and 2009. The new wind measurements are linear with inverse radar backscatter levels, a result close to the earlier altimeter high wind speed model of Young (1993). By design, the model only applies for wind speeds above 18 m s21. Above this level, standard altimeter wind speed algorithms are not reliable and typically underestimate the true value. Simple rules for applying the new model to the present-day suite of satellite altimeters (Jason-1, Jason-2, and Envisat RA-2) are provided, with a key objective being provision of enhanced data for near-real- time forecast and warning applications surrounding gale to hurricane force wind events. Model limitations and strengths are discussed and highlight the valuable 5-km spatial resolution sea state and wind speed al- timeter information that can complement other data sources included in forecast guidance and air–sea in- teraction studies. -
Significant Dissipation of Tidal Energy in the Deep Ocean Inferred from Satellite Altimeter Data
letters to nature 3. Rein, M. Phenomena of liquid drop impact on solid and liquid surfaces. Fluid Dynamics Res. 12, 61± water is created at high latitudes12. It has thus been suggested that 93 (1993). much of the mixing required to maintain the abyssal strati®cation, 4. Fukai, J. et al. Wetting effects on the spreading of a liquid droplet colliding with a ¯at surface: experiment and modeling. Phys. Fluids 7, 236±247 (1995). and hence the large-scale meridional overturning, occurs at 5. Bennett, T. & Poulikakos, D. Splat±quench solidi®cation: estimating the maximum spreading of a localized `hotspots' near areas of rough topography4,16,17. Numerical droplet impacting a solid surface. J. Mater. Sci. 28, 963±970 (1993). modelling studies further suggest that the ocean circulation is 6. Scheller, B. L. & Bous®eld, D. W. Newtonian drop impact with a solid surface. Am. Inst. Chem. Eng. J. 18 41, 1357±1367 (1995). sensitive to the spatial distribution of vertical mixing . Thus, 7. Mao, T., Kuhn, D. & Tran, H. Spread and rebound of liquid droplets upon impact on ¯at surfaces. Am. clarifying the physical mechanisms responsible for this mixing is Inst. Chem. Eng. J. 43, 2169±2179, (1997). important, both for numerical ocean modelling and for general 8. de Gennes, P. G. Wetting: statics and dynamics. Rev. Mod. Phys. 57, 827±863 (1985). understanding of how the ocean works. One signi®cant energy 9. Hayes, R. A. & Ralston, J. Forced liquid movement on low energy surfaces. J. Colloid Interface Sci. 159, 429±438 (1993). source for mixing may be barotropic tidal currents. -
Sustained Global Ocean Observing Systems
Introduction Goal The ocean, which covers 71 percent of the Earth’s surface, The goal of the Climate Observation Division’s Ocean Climate exerts profound influence on the Earth’s climate system by Observation Program2 is to build and sustain the in situ moderating and modulating climate variability and altering ocean component of a global climate observing system that the rate of long-term climate change. The ocean’s enormous will respond to the long-term observational requirements of heat capacity and volume provide the potential to store 1,000 operational forecast centers, international research programs, times more heat than the atmosphere. The ocean also serves and major scientific assessments. The Division works toward as a large reservoir for carbon dioxide, currently storing 50 achieving this goal by providing funding to implementing times more carbon than the atmosphere. Eighty-five percent institutions across the nation, promoting cooperation of the rain and snow that water the Earth comes directly from with partner institutions in other countries, continuously the ocean, while prolonged drought is influenced by global monitoring the status and effectiveness of the observing patterns of ocean temperatures. Coupled ocean-atmosphere system, and providing overall programmatic oversight for interactions such as the El Niño-Southern Oscillation (ENSO) system development and sustained operations. influence weather and storm patterns around the globe. Sea level rise and coastal inundation are among the Importance of Ocean Observations most significant impacts of climate change, and abrupt Ocean observations are critical to climate and weather climate change may occur as a consequence of altered applications of societal value, including forecasts of droughts, ocean circulation. -
Dear Dr. Saverio Mori, Thank You Very Much for Kindly Inviting Us To
Dear Dr. Saverio Mori, Thank you very much for kindly inviting us to submit a revised manuscript titled “Simulating precipitation radar observations from a geostationary satellite” to Atmospheric Measurement Techniques. We would also appreciate the time and effort you and the reviewers have dedicated to providing insightful feedback on the ways to strengthen our paper. We would like to submit our revised manuscript. We have incorporated changes that reflect the suggestions you and the reviewers have provided. We hope that the revisions properly address the suggestions and comments. Sincerely, A. Okazaki, T. Honda, S. Kotsuki, M. Yamaji, T. Kubota, R. Oki, T. Iguchi, and T. Miyoshi The reviewer comments are in blue and italic and the replies are in black. Anonymous Referee #1 The manuscript presents the usefulness of a “feasible” Ku-band precipitation radar for a geostationary satellite (GeoSat/PR). It is an effort ongoing at JAXA to overcome two limitations of orbiting radar-based systems such as TRMM or GPM, namely, the limited swath and revisit time. A geostationary satellite needs a larger antenna than TRMM PR and GPM KuPR. A 20-m antenna for a 20 km footprint is considered in the study for its feasibility. The scan of the radar is within 6◦ that makes measurements available for a circular disk with a diameter of 8400 km. Effects of Non Uniform Beam Filling (NUBF) and clutter are presented usng an extremely simple cloud model. The impact of coarse resolutions of the GeoSat/PR is quantified on 3-D Typhoon observations obtained with realistic simulations. The subject of is important and the manuscript is, in general, well written. -
Chapter 2: Ocean Observations
Chapter 2. Ocean observations 2.1 Observational methods With the rapid advancement in technology, the instruments and methods for measuring oceanic circulation and properties have been quickly evolving. Nevertheless, it is useful to understand what types of instruments have been available at different points in oceanographic development and their resolution, precision, and accuracy. The majority of oceanographic measurements so far have been made from research vessels, with auxiliary measurements from merchant ships and coastal stations. Fig. 2.1 Research vessel. Accuracy: The difference between a result obtained and the true value. Precision: Ability to measure consistently within a given data set (variance in the measurement itself due to instrument noise). Generally the precision of oceanographic measurements is better than the accuracy. 2.1.1 Measurements of depth. Each oceanographic variable, such as temperature (T), salinity (S), density , and current , is a function of space and time, and therefore a function of depth. In order to determine to which depth an instrument has been deployed, we need to measure ``depth''. Depth measurements are often made with the measurements of other properties, such as temperature, salinity and current. Meter wheel. The wire is passed over a meter wheel, which is simply a pulley of known circumference with a counter attached to the pulley to count the number of turns, thus giving the depth the instrument is lowered. This method is accurate when the sea is calm with negligible currents. In reality, research vessels are moving and currents might be strong, and thus the wire is not straight. The real depth is shorter than the distance the wire paid out. -
Toward 1-Mgal Accuracy in Global Marine Gravity from Cryosat-2, Envisat, and Jason-1
SPECIALGravity SECTION: and G rpotential a v i t y and fieldspotential fields Toward 1-mGal accuracy in global marine gravity from CryoSat-2, Envisat, and Jason-1 DAVID SANDWELL and EMMANUEL GARCIA, Scripps Institution of Oceanography KHALID SOOFI, ConocoPhillips PAUL WESSEL and MICHAEL CHANDLER, University of Hawaii at Mānoa WALTER H. F. SMITH, National Oceanic and Atmospheric Administration ore than 60% of the Earth’s land and shallow contribution to gravity field improvement, especially Mmarine areas are covered by > 2 km of sediments in the Arctic where the closely spaced repeat tracks can and sedimentary rocks, with the thickest accumulations collect data over unfrozen areas as the ice cover changes on rifted continental margins (Figure 1). Free-air marine (Childers et al., 2012). gravity anomalies derived from Geosat and ERS-1 satellite 3) The Jason-1 satellite was launched in 2001 to replace the altimetry (Fairhead et al., 2001; Sandwell and Smith, 2009; aging Topex/Poseidon satellite. To avoid a potential colli- Andersen et al., 2009) outline most of these major basins sion between Jason 1 and Topex, the Jason-1 satellite was with remarkable precision. Moreover, gravity and bathymetry moved into a lower orbit with a long repeat time of 406 data derived from altimetry are used to identify current and days resulting in an average ground-track spacing of 3.9 paleo-submarine canyons, faults, and local recent uplifts. km at the equator. The maneuver was performed in May These geomorphic features provide clues to where to look 2012 and the satellite is collecting a tremendous new data for large deposits of sediments. -
Global Observations of Fine-Scale Ocean Surface Topography with the Surface Water and Ocean Topography (SWOT) Mission
fmars-06-00232 May 13, 2019 Time: 15:5 # 1 REVIEW published: 15 May 2019 doi: 10.3389/fmars.2019.00232 Global Observations of Fine-Scale Ocean Surface Topography With the Surface Water and Ocean Topography (SWOT) Mission Rosemary Morrow1*, Lee-Lueng Fu2, Fabrice Ardhuin3, Mounir Benkiran4, Bertrand Chapron3, Emmanuel Cosme5, Francesco d’Ovidio6, J. Thomas Farrar7, Sarah T. Gille8, Guillaume Lapeyre9, Pierre-Yves Le Traon4, Ananda Pascual10, Aurélien Ponte3, Bo Qiu11, Nicolas Rascle12, Clement Ubelmann13, Jinbo Wang2 and Edward D. Zaron14 1 Centre de Topographie des Océans et de l’Hydrosphère, Laboratoire d’Etudes en Géophysique et Océanographie Spatiale, CNRS, CNES, IRD, Université Toulouse III, Toulouse, France, 2 Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, 3 Laboratoire d’Océanographie Physique et Spatiale, Centre National de la Edited by: Recherche Scientifique – Ifremer, Plouzané, France, 4 Mercator Ocean, Ramonville-Saint-Agne, France, 5 Institut des Fei Chai, Géosciences de l’Environnement, Université Grenoble Alpes, Grenoble, France, 6 Sorbonne Université, CNRS, IRD, MNHN, Second Institute of Oceanography, Laboratoire d’Océanographie et du Climat: Expérimentations et Approches Numériques (LOCEAN-IPSL), Paris, France, State Oceanic Administration, China 7 Woods Hole Oceanographic Institution, Woods Hole, MA, United States, 8 Scripps Institution of Oceanography, University 9 Reviewed by: of California, San Diego, La Jolla, CA, United States, Laboratoire de Météorologie Dynamique (LMD-IPSL), -
The Contribution of Wind-Generated Waves to Coastal Sea-Level Changes
1 Surveys in Geophysics Archimer November 2011, Volume 40, Issue 6, Pages 1563-1601 https://doi.org/10.1007/s10712-019-09557-5 https://archimer.ifremer.fr https://archimer.ifremer.fr/doc/00509/62046/ The Contribution of Wind-Generated Waves to Coastal Sea-Level Changes Dodet Guillaume 1, *, Melet Angélique 2, Ardhuin Fabrice 6, Bertin Xavier 3, Idier Déborah 4, Almar Rafael 5 1 UMR 6253 LOPSCNRS-Ifremer-IRD-Univiversity of Brest BrestPlouzané, France 2 Mercator OceanRamonville Saint Agne, France 3 UMR 7266 LIENSs, CNRS - La Rochelle UniversityLa Rochelle, France 4 BRGMOrléans Cédex, France 5 UMR 5566 LEGOSToulouse Cédex 9, France *Corresponding author : Guillaume Dodet, email address : [email protected] Abstract : Surface gravity waves generated by winds are ubiquitous on our oceans and play a primordial role in the dynamics of the ocean–land–atmosphere interfaces. In particular, wind-generated waves cause fluctuations of the sea level at the coast over timescales from a few seconds (individual wave runup) to a few hours (wave-induced setup). These wave-induced processes are of major importance for coastal management as they add up to tides and atmospheric surges during storm events and enhance coastal flooding and erosion. Changes in the atmospheric circulation associated with natural climate cycles or caused by increasing greenhouse gas emissions affect the wave conditions worldwide, which may drive significant changes in the wave-induced coastal hydrodynamics. Since sea-level rise represents a major challenge for sustainable coastal management, particularly in low-lying coastal areas and/or along densely urbanized coastlines, understanding the contribution of wind-generated waves to the long-term budget of coastal sea-level changes is therefore of major importance. -
Climate-Change–Driven Accelerated Sea-Level Rise Detected in the Altimeter Era
Climate-change–driven accelerated sea-level rise detected in the altimeter era R. S. Nerema,1, B. D. Beckleyb, J. T. Fasulloc, B. D. Hamlingtond, D. Mastersa, and G. T. Mitchume aColorado Center for Astrodynamics Research, Ann and H. J. Smead Aerospace Engineering Sciences, Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO 80309; bStinger Ghaffarian Technologies Inc., NASA Goddard Space Flight Center, Greenbelt, MD 20771; cNational Center for Atmospheric Research, Boulder, CO 80305; dOld Dominion University, Norfolk, VA 23529; and eCollege of Marine Science, University of South Florida, St. Petersburg, FL 33701 Edited by Anny Cazenave, Centre National d’Etudes Spatiales, Toulouse, France, and approved January 9, 2018 (received for review October 2, 2017) Using a 25-y time series of precision satellite altimeter data from acceleration estimate by 0.033 mm/y2, resulting in a final “climate- TOPEX/Poseidon, Jason-1, Jason-2, and Jason-3, we estimate the change–driven” acceleration of 0.084 mm/y2. Climate-change–driven climate-change–driven acceleration of global mean sea level over in this case means we have tried to adjust the GMSL measurements the last 25 y to be 0.084 ± 0.025 mm/y2. Coupled with the average for as many natural interannual and decadal effects as we can to try climate-change–driven rate of sea level rise over these same 25 y of to isolate the longer-term, potentially anthropogenic, acceleration–– 2.9 mm/y, simple extrapolation of the quadratic implies global mean any remaining effects are considered in the error analysis. sea level could rise 65 ± 12 cm by 2100 compared with 2005, roughly We also must consider the impact of errors in the altimeter in agreement with the Intergovernmental Panel on Climate Change measurements, especially instrument drift. -
Guidelines Towards an Integrated Ocean Observation System for Ecosystems and Biogeochemical Cycles
GUIDELINES TOWARDS AN INTEGRATED OCEAN OBSERVATION SYSTEM FOR ECOSYSTEMS AND BIOGEOCHEMICAL CYCLES Hervé Claustre(1), David Antoine(1), Lars Boehme(2), Emmanuel Boss(3), Fabrizio D’Ortenzio(1), Odile Fanton D’Andon(4), Christophe Guinet(5), Nicolas Gruber(6), Nils Olav Handegard(7), Maria Hood(8), Ken Johnson(9), Arne Körtzinger(10), Richard Lampitt(11), Pierre-Yves LeTraon(12), Corinne Lequéré(13), Marlon Lewis(14), Mary-Jane Perry(15), Trevor Platt(16), Dean Roemmich(17), Shubha Sathyendranath(16), Uwe Send(17), Pierre Testor(18), Jim Yoder(19) (1) CNRS and University P. & M. Curie, Laboratoire d’Océanographie de Villefranche, 06230 Villefranche-sur-mer, France, Email: [email protected], [email protected], [email protected] (2) NERC Sea Mammal Research Unit, Scottish Oceans Institute, University of St Andrews, St Andrews, Fife KY16 8LB, Scotland, UK, Email: [email protected] (3) University of Maine, School of Marine Science, Orono, ME 04469 USA, Email: [email protected] (4) ACRI-ST, 260, route du Pin Montard - B.P. 234, 06904 Sophia Antipolis Cedex, France, Email: [email protected] (5) CNRS, Centre d'Etudes Biologiques de Chizé, Villiers-en-Bois, 79360 Beauvoir-sur-niort , France, [email protected] (6) Institute of Biogeochemistry and Pollutant Dynamics, ETH Zurich, Universitatstrasse 16, 8092 Zurich, Switzerland, Email: [email protected] (7) Institute of Marine Research, Postboks 1870 Nordnes, 5817 Bergen, Norway, Email: [email protected] (8) UNESCO-IOC, 1 Rue Miollis, 75732 Paris cedex 15, France, Email: [email protected] (9) Monterey Bay Aquarium Research Institute 7700 Sandholdt Road Moss Landing, CA 95039, USA, Email: [email protected] (10) Leibniz-Institut für Meereswissenschaften (IFM-GEOMAR) Chemische Ozeanographie Düsternbrooker Weg 20, 24105 Kiel, Germany.