Next Article in Journal
Early Analysis of Landsat-8 Thermal Infrared Sensor Imagery of Volcanic Activity
Next Article in Special Issue
Spatio-Temporal Assessment of Tuz Gölü, Turkey as a Potential Radiometric Vicarious Calibration Site
Previous Article in Journal
Estimating Canopy Characteristics of Inner Mongolia’s Grasslands from Field Spectrometry
Previous Article in Special Issue
Multi-Sensor Calibration Studies of AVHRR-Heritage Channel Radiances Using the Simultaneous Nadir Observation Approach
Article Menu

Export Article

Open AccessArticle
Remote Sens. 2014, 6(3), 2255-2281; doi:10.3390/rs6032255

Multi-Mission Cross-Calibration of Satellite Altimeters: Constructing a Long-Term Data Record for Global and Regional Sea Level Change Studies

Deutsches Geodätisches Forschungsinstitut (DGFI), Alfons-Goppel-Str. 11, München D-80539, Germany
*
Author to whom correspondence should be addressed.
Received: 10 October 2013 / Revised: 11 February 2014 / Accepted: 19 February 2014 / Published: 12 March 2014
View Full-Text   |   Download PDF [1013 KB, uploaded 19 June 2014]   |  

Abstract

Climate studies require long data records extending the lifetime of a single remote sensing satellite mission. Precise satellite altimetry exploring global and regional evolution of the sea level has now completed a two decade data record. A consistent long-term data record has to be constructed from a sequence of different, partly overlapping altimeter systems which have to be carefully cross-calibrated. This cross-calibration is realized globally by adjusting an extremely large set of single- and dual-satellite crossover differences performed between all contemporaneous altimeter systems. The total set of crossover differences creates a highly redundant network and enables a robust estimate of radial errors with a dense and rather complete sampling for all altimeter systems analyzed. An iterative variance component estimation is applied to obtain an objective relative weighting between altimeter systems with different performance. The final time series of radial errors is taken to estimate (for each of the altimeter systems) an empirical auto-covariance function. Moreover, the radial errors capture relative range biases and indicate systematic variations in the geo-centering of altimeter satellite orbits. The procedure has the potential to estimate for all altimeter systems the geographically correlated mean errors which is not at all visible in single-satellite crossover differences but maps directly to estimates of the mean sea surface.
Keywords: satellite altimetry; sea level; calibration; crossover analysis; range bias; radial errors; geographically correlated errors satellite altimetry; sea level; calibration; crossover analysis; range bias; radial errors; geographically correlated errors
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Bosch, W.; Dettmering, D.; Schwatke, C. Multi-Mission Cross-Calibration of Satellite Altimeters: Constructing a Long-Term Data Record for Global and Regional Sea Level Change Studies. Remote Sens. 2014, 6, 2255-2281.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top