Climate Data

Global Mean Sea Level from TOPEX & Jason Altimetry

The global mean sea level timeseries is an excellent, integrative indicator of climate change, providing a record independent of common metrics like global surface air temperature.  The major contributions to the observed sea level trend of 3.3 mm/year include the ocean's thermal expansion, meltwater from mountain glaciers, and discharge from the Greenland and Antarctic ice sheets.  Interannual variability about the trends occurs due to ENSO and related climate processes.  Measurements from the TOPEX/Poseidon and Jason series of satellite radar altimeters have been used to estimate global mean sea level height.  These data are available for October, 1992 to present.  Tide gauge sea level data have complementary strengths and weaknesses. 

Key Strengths:

  • Provide nearly continuous, broad spatial coverage
  • Less uncertainty in estimate of global mean sea level than provided by tide gauge data

Key Limitations:

  • Short record, limited temporal context
  • Limited temporal resolution; repeat measurements only every 10 days as compared with minutes for tide gauge data
  • Must be corrected for satellite instrument drift, in addition to glacial isostatic rebound and atmospheric pressure

Expert User Guidance

The following was contributed by Dr. R.S. Nerem (University of Colorado), October, 2015:

Since 1993, measurements from the TOPEX/Poseidon and Jason series (Jason-1, Jason-2, and soon, Jason-3) of satellite radar altimeter missions have allowed estimates of global mean sea level (e.g., sea surface height averaged globally over the planet). In practice, these measurements only cover ±66° latitude that is covered by the satellites. The groundtrack of these satellites repeats approximately every 10 days (9.9159 days), and thus estimates of global mean sea level are generally computed at that frequency. The raw altimeter measurements are corrected for the effects of troposphere delays (via microwave radiometer measurements made onboard the satellites), ionosphere delays (via the two-frequency Ku and C-band altimeter measurements), sea state, and a variety of other effects. In addition, models are used to remove the effects of changes in atmospheric pressure (the inverted-barometer correction), ocean tides, solid Earth tides, and a variety of other effects. There has been overlap between each mission (TOPEX/Poseidon to Jason-1, Jason-1 to Jason-2), and these overlaps are used to estimate biases between the missions and remove them. The accuracy of the altimeter measurements after applying these corrections and models is about 1-2 cm for a point measurement along the satellite groundtrack, but 10-day averages of these measurements to compute global mean sea level are generally accurate to about 4-5 mm due to the reduction of errors in the averaging. A correction for Glacial Isostatic Adjustment (GIA) is also applied (increasing the rate of global mean sea level by 0.3 mm/year) to account for an increase in the volume of the ocean basins since the end of the last glacial cycle. The 10-day estimates of global mean sea level contain variations with a period near 60-days (due to an error that is still being diagnosed), and thus 60-day smoothing of the 10-day estimates is often applied.

Global mean sea level is an excellent barometer of climate change because many of the natural variations of sea level average out in the global mean. Nevertheless, interannual variations caused by ENSO and related process create variability about the trend with a standard deviation of ~4 mm. In combination with satellite gravity data (GRACE), one can parse out the major contributions to the observed 3.3 mm/year increase in global mean sea level (thermal expansion, Greenland, Antarctica, mountain glaciers). Measurements of global mean sea level are also available from tide gauges, but the errors are much larger because tide gauges don't uniformly sample the oceans in the same way that satellites do.

Because of the possibility of measurement drift after the satellites are launched (the onboard microwave radiometer is the most prone to drift), the altimeter sea surface height measurements are continuously compared against a global network of tide gauges in order to identify such drifts and address them in the data analysis. The accuracy of these tide gauge based drift estimates is about 0.4 mm/year (due primarily to errors in the vertical land motion at the tide gauges), and thus this is the dominant error source for estimates of the rate of sea level rise. A limitation of these data is that they only cover ±66° latitude, but the omission of higher latitudes has been shown to have only a small effect on the global mean sea level measurements.

Seasonal variations of global mean sea level are largely driven by 1) seasonal variations in the thermal expansion of the oceans, and 2) seasonal exchange of water between the land and the oceans. When seasonal variations are subtracted, they reveal a trend in global mean sea level (currently 3.3 ± 0.4 mm/year) plus variability largely associated with ENSO processes.

As new data, models and corrections become available, these estimates are continuously revised (about every two months) to improve their quality and the length of the time series (http://sealevel.colorado.edu/). Comparable data sets are available from NOAA and AVISO and are linked into this website.##

Years of Record

1992/10 to 2015/10
temporal metadataID:

Formats

Timestep

Monthly

Data Time Period Extended?

yes, data set is extended

Domain

Ocean or Land

Ocean Only

Vertical Levels

Input Data

satellite radar altimeters

Earth system components and main variables

Global Mean Sea Level from TOPEX & Jason Altimetry

The global mean sea level timeseries is an excellent, integrative indicator of climate change, providing a record independent of common metrics like global surface air temperature.  The major contributions to the observed sea level trend of 3.3 mm/year include the ocean's thermal expansion, meltwater from mountain glaciers, and discharge from the Greenland and Antarctic ice sheets.  Interannual variability about the trends occurs due to ENSO and related climate processes.  Measurements from the TOPEX/Poseidon and Jason series of satellite radar altimeters have been used to estimate global mean sea level height.  These data are available for October, 1992 to present.  Tide gauge sea level data have complementary strengths and weaknesses. 

Suggested Data Citation

Nerem, R. S., D. Chambers, C. Choe, and G. T. Mitchum. "Estimating Mean Sea Level Change from the TOPEX and Jason Altimeter Missions." Marine Geodesy 33, no. 1 supp 1 (2010): 435

Data Access: Please Cite data sources, following the data providers' instructions.

  1. Nerem, R. S., D. Chambers, C. Choe, and G. T. Mitchum. "Estimating Mean Sea Level Change from the TOPEX and Jason Altimeter Missions." Marine Geodesy 33, no. 1 supp 1 (2010): 435
  2. Boening, C., J. K. Willis, F. W. Landerer, R. S. Nerem, and J. Fasullo, The 2011 La Niña: So Strong, the Oceans Fell, Geophys. Res. Lett., 39, L18607, doi:10.1029/2012GL052885, 2012.
  3. Fasullo, J. T., C. Boening, F. W. Landerer, and R. S. Nerem, Australia's unique influence on global sea level in 2010–2011, Geophys. Res. Lett., 40, 4368–4373, doi:10.1002/grl.50834, 2013.
  4. Hamlington, B. D., R. R. Leben, M. W. Strassburg, R. S. Nerem, and K.-Y. Kim, Contribution of the Pacific Decadal Oscillation to global mean sea level trends, Geophys. Res. Lett., 40, 5171–5175, doi:10.1002/grl.50950, 2013.
  5. Masters, D., R. S. Nerem, C. Choe, E. Leuliette, B. Beckley, N. White, and M. Ablain, Comparison of Global Mean Sea Level Time Series from TOPEX/Poseidon, Jason-1, and Jason-2, Marine Geodesy, Vol. 35, Suppl. 1, pp. 20-41, 2012.
  6. Mitchum, Gary T. 2000. “An Improved Calibration of Satellite Altimetric Heights Using Tide Gauge Sea Levels with Adjustment for Land Motion.” Marine Geodesy 23 (3): 145–66.
  7. Nerem, R. S., D. P. Chambers, E. W. Leuliette, G. T. Mitchum, and B. S. Giese. 1999. “Variations in Global Mean Sea Level Associated with the 1997–1998 ENSO Event: Implications for Measuring Long Term Sea Level Change.” Geophysical Research Letters 26 (19
  8. Nerem, R. S., E. Leuliette, and A. Cazenave, Present-day sea-level change: A review. Comptes Rendus Geoscience, 338, 1077-1083, 2006.
  9. Tamisiea, Mark E. 2011. “Ongoing Glacial Isostatic Contributions to Observations of Sea Level Change.” Geophysical Journal International 186 (3): 1036–44
  10. Willis J. K., D. P. Chambers, R. S. Nerem, Assessing the globally averaged sea level budget on seasonal to interannual timescales, J. Geophys. Res., 113, C06015, doi:10.1029/2007JC004517, 2008.

Key Figures

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Thumbnails

Captions

Global-mean sea level timeseries from satellite altimertry Global-mean sea level from satellite altimetry (contributed by R.S. Nerem)

Cite this page

Nerem, R.S. & National Center for Atmospheric Research Staff (Eds). Last modified 19 Jan 2016. "The Climate Data Guide: Global Mean Sea Level from TOPEX & Jason Altimetry." Retrieved from https://climatedataguide.ucar.edu/climate-data/global-mean-sea-level-topex-jason-altimetry.

Acknowledgement of any material taken from this page is appreciated. On behalf of experts who have contributed data, advice, and/or figures, please cite their work as well.