Reconstructed Sea Level Version 1
(RECON_SEA_LEVEL_OST_L4_V1)
17 Publications Cited this Dataset
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Publications citing Reconstructed Sea Level Version 1
Citation metrics available for years (2014-2022)
Year | Citation |
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2014 | CCAR, University of Colorado, Boulder. 2013. RECON_ SEA_LEVEL_OST_L4_V1. NASA JPL Physical Oceanography Distributed Active Archive Center (PO.DAAC). PODAAC-RECSL-000V1. http://podaac.jpl.nasa.gov/dataset/RECON_SEA_LEVEL_OST_L4_V1 Cyclostationary empirical orthogonal function sea‐level reconstruction, Geoscience Data Journal ,https://doi.org/10.1002/gdj3.6 |
2015 | Decadal trends of the upper ocean salinity in the tropical Indo-Pacific since mid-1990s, Scientific reports ,https://doi.org/10.1038/srep16050 |
2015 | Multidecadal variations of the surface Kuroshio between 1950s and 2000s and its impacts on surrounding waters, Journal of Geophysical Research: Oceans ,https://doi.org/10.1002/2014JC010582 |
2015 | The effect of the El Niño‐Southern Oscillation on US regional and coastal sea level, Journal of Geophysical Research: Oceans ,https://doi.org/10.1002/2014JC010602 |
2015 | Theoretical foundation of cyclostationary EOF analysis for geophysical and climatic variables: concepts and examples, Earth-science reviews ,https://doi.org/10.1016/j.earscirev.2015.06.003 |
2016 | An ongoing shift in Pacific Ocean sea level, Journal of ,https://doi.org/10.1002/2016JC011815 |
2017 | Mechanisms of variability in decadal sea-level trends in the Baltic Sea over the 20th century, Earth System Dynamics ,https://doi.org/10.5194/esd-8-1031-2017 |
2018 | A new framework to assess relative ecosystem vulnerability to climate change, Conservation Letters ,https://doi.org/10.1111/conl.12372 |
2018 | 23. CCAR Reconstructed Sea Level Version 1. Available online: https://podaac.jpl.nasa.gov/dataset/RECON_SEA_LEVEL_OST_L4_V1 (accessed on 23 December 2016). Indo-Pacific Sea Level as an Indicator of Climate Variability and Change, N/A |
2018 | Reconstruction of sea level around the Korean Peninsula using cyclostationary empirical orthogonal functions, Ocean Science ,https://doi.org/10.5194/os-14-959-2018 |
2018 | 16. CCAR (2013) Reconstructed Sea Level Version 1. Prod. Boulder University of Colorado. http://podaac.jpl.nasa.gov/dataset/RECON_SEA_LEVEL_OST_L4_V1. Ocean Currents Modeling along the Iranian Coastline of the Oman Sea and the Northern Indian Ocean, Journal of Hydraulic Structures ,https://doi.org/10.22055/JHS.2018.24985.1075 |
2019 | An Atlantic-driven rapid circulation change in the North Pacific Ocean during the late 1990s, Scientific reports ,https://doi.org/10.1038/s41598-019-51076-1 |
2019 | Role of the western hemisphere warm pool in climate variability over the western North Pacific, Climate Dynamics ,https://doi.org/10.1007/s00382-019-04652-0 |
2020 | 20th Century Multivariate Indian Ocean Regional Sea Level Reconstruction, Journal of Geophysical Research: Oceans ,https://doi.org/10.1029/2020JC016270 |
2020 | JPL (Jet Propulsion Lab), 2011. Reconstructed Sea Level. https://podaac.jpl.nasa.gov/dataset/RECON_SEA_LEVEL_OST_L4_V1 A Quasi-Decadal Oscillation of Sea-Level Variation in the South China Sea, Journal of Coastal Research ,https://doi.org/10.2112/JCOASTRES-D-19-00078.1 |
2022 | Assessing the vulnerability of marine life to climate change in the Pacific Islands region, PLoS ONE ,10.1371/journal. pone.0270930 |
2022 | Influence of climate variability on sea level rise and its teleconnection with sea surface temperature anomalies over the Indo‐Pacific Ocean, International Journal of Climatology ,10.1002/joc.7893 |
Version | 1 |
Processing Level | 4 |
Start/Stop Date | 1950-Jan-03 to 2009-Jun-27 |
Short Name | RECON_SEA_LEVEL_OST_L4_V1 |
Description | The Reconstructed Sea Level dataset contains sea level anomalies derived from satellite altimetry and tide gauges. The satellite altimetric record provides accurate measurements of sea level with near-global coverage, but it has a relatively short time span, since 1993. Tide gauges have measured sea level over the last 200 years, with some records extending back to 1807, but they only provide regional coverage, not global. Combining satellite altimetry with tide gauges, using a technique known as sea level reconstruction, results in a dataset with the record length of the tide gauges and the near-global coverage of satellite altimetry. Cyclostationary empirical orthogonal functions (CSEOFs), derived from satellite altimetry, are combined with historical sea level measurements from tide gauges to create the Reconstructed Sea Level dataset spanning from 1950 through 2009. Combining the altimetric and tide gauge records alleviates the difficulties caused by the short record length and poor spatial distribution of the satellite altimetry and tide gauges, respectively. Previous sea level reconstructions have utilized empirical orthogonal functions (EOFs) as basis functions, but by using CSEOFs and by addressing other aspects of the reconstruction procedure, an alternative sea level reconstruction can be computed. The resulting reconstructed sea level dataset has weekly temporal resolution and half-degree spatial resolution. For specific information on the algorithm and how the CSEOFs are applied to the tide gauge data please see Hamlington et al. 2011. |
DOI | 10.5067/RECSL-000V1 |
Measurement | OCEANS > SEA SURFACE TOPOGRAPHY > SEA SURFACE HEIGHT |
Platform/Sensor | OSTM/JASON-2 / Platform Name: Ocean Surface Topography Mission/Jason-2 (OSTM/JASON-2) Orbit Period: 112.43 minutes Inclination Angle: 66.04 degrees AMR SENSOR Name: Advanced Microwave Radiometer (AMR) OSTM/JASON-2 / Platform Name: Ocean Surface Topography Mission/Jason-2 (OSTM/JASON-2) Orbit Period: 112.43 minutes Inclination Angle: 66.04 degrees POSEIDON-3 SENSOR Name: OSTM/Jason-2 RADAR alitmieter (POSEIDON-3) Swath Width: 5.1 kilometers Description: Spacecraft angular distance from orbital plane relative to the Equator. Jason-1 Geodetic / Platform Name: Jason-1 Geodetic (Jason-1 Geodetic) Orbit Period: 99999.0 minutes Inclination Angle: 66.15 degrees JASON-1 Microwave Radiometer SENSOR Name: JASON-1 MICROWAVE RADIOMETER (JASON-1 Microwave Radiometer) Swath Width: 22.9 kilometers Description: Spacecraft angular distance from orbital plane relative to the Equator. Jason-1 Geodetic / Platform Name: Jason-1 Geodetic (Jason-1 Geodetic) Orbit Period: 99999.0 minutes Inclination Angle: 66.15 degrees POSEIDON-2 SENSOR Name: JASON-1 RADAR ALTIMETER (POSEIDON-2) JASON-1 / Platform Name: JASON-1 (JASON-1) Orbit Period: 112.43 minutes Inclination Angle: 66.04 degrees JASON-1 Microwave Radiometer SENSOR Name: JASON-1 MICROWAVE RADIOMETER (JASON-1 Microwave Radiometer) Swath Width: 22.9 kilometers Description: Spacecraft angular distance from orbital plane relative to the Equator. Show More |
Project | Research Opportunities in Space and Earth Science (ROSES) |
Data Provider | Publisher: CCAR Creator: CCAR, University of Colorado, Boulder Release Place: NASA/JPL/PODAAC Release Date: 2013-Jun-11 |
Format | netCDF-4 |
Keyword(s) | SSHA, SSH, SLA, Sea Surface Height, Sea Level, OST, Reconstruction |
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
Resolution Spatial Resolution: 0.5 Decimal Degrees x 0.5 Decimal Degrees Temporal Resolution: 7 Day Coverage Region: GLOBAL North Bounding Coordinate: 90 degrees South Bounding Coordinate: -90 degrees West Bounding Coordinate: -180 degrees East Bounding Coordinate: 180 degrees Time Span: 1950-Jan-03 to 2009-Jun-27 Granule Time Span: 1950-Jan-03 to 2009-Jun-27 |
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us-west-2 | |
podaac-ops-cumulus-protected/RECON_SEA_LEVEL_OST_L4_V1/ | |
podaac-ops-cumulus-public/RECON_SEA_LEVEL_OST_L4_V1/ | |
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Name | Long Name | Unit |
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lat | latitude | degrees_north |
lon | longitude | degrees_east |
ssha | reconstructed SSHA | cm |
time | time (days since 1/1/1900) | days since 1900-1-1 |
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Citation is critically important for dataset documentation and discovery. Please cite the data as follows, and cite the reference papers when it is appropriate.
Citation | CCAR, University of Colorado, Boulder. 2013. RECON_SEA_LEVEL_OST_L4_V1. Ver. 1. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/RECSL-000V1
For more information see Data Citations and Acknowledgments.
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Journal Reference | Hamlington, B. D., Leben, R. R., Strassburg, M. W. and Kim, K.-Y. (2014), Cyclostationary empirical orthogonal function sea-level reconstruction. Geoscience Data Journal. doi: 10.1002/gdj3.6 . |