Classification of CryoSat-2 Radar Echoes

Sea-ice thickness at global scale is an important variable in the polar climate system. Only satellite altimeters such as onboard the CryoSat-2 mission allow us to obtain sea-ice thickness on hemispherical scale. Accurate CryoSat-2 altimeter range measurements provide surface elevations which have t...

Full description

Bibliographic Details
Main Authors: Ricker, Robert, Hendricks, Stefan, Helm, Veit, Gerdes, RĂ¼diger
Other Authors: Lohmann, Gerrit, Meggers, Helge, Unnithan, Vikram, Wolf-Gladrow, Dieter, Notholt, Justus, Bracher, Astrid
Format: Book Part
Language:unknown
Published: Springer International Publishing 2015
Subjects:
Online Access:https://epic.awi.de/id/eprint/37379/
https://epic.awi.de/id/eprint/37379/1/rricker_v3.pdf
http://link.springer.com/chapter/10.1007%2F978-3-319-13865-7_17
https://hdl.handle.net/10013/epic.45046
https://hdl.handle.net/10013/epic.45046.d001
Description
Summary:Sea-ice thickness at global scale is an important variable in the polar climate system. Only satellite altimeters such as onboard the CryoSat-2 mission allow us to obtain sea-ice thickness on hemispherical scale. Accurate CryoSat-2 altimeter range measurements provide surface elevations which have to be referenced to the local sea level to obtain sea-ice freeboard that can be converted into sea-ice thickness assuming hydrostatic equilibrium. The local sea-surface height is determined by careful detection of leads in the ice surface using the specific characteristics of the radar signal. Off-nadir reflections from leads can significantly affect the range retracking and hence bias the surface elevations of leads and sea ice. This can finally lead to a negative freeboard and hence also affects the thickness and volume retrieval. We present a method for the classification of CryoSat-2 radar echoes to correctly discriminate between valid and off-nadir biased echoes. We apply our classification to a CryoSat-2 track from December 15 where 50 leads over a distance of 2,300 km are identified. Overall 22 % of the surface elevations are associated with biased radar echoes.