Quantifying iceberg calving fluxes with underwater noise
Accurate estimates of calving fluxes are essential in understanding small-scale glacier dynamics and quantifying the contribution of marine-terminating glaciers to both eustatic sea-level rise (SLR) and the freshwater budget of polar regions. Here we investigate the application of acoustical oceanog...
Gespeichert in:
Veröffentlicht in: | The cryosphere 2020-03, Vol.14 (3), p.1025-1042 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Accurate estimates of calving fluxes are essential in
understanding small-scale glacier dynamics and quantifying the contribution of
marine-terminating glaciers to both eustatic sea-level rise (SLR) and the
freshwater budget of polar regions. Here we investigate the application of
acoustical oceanography to measure calving flux using the underwater sounds
of iceberg–water impact. A combination of time-lapse photography and passive
acoustics is used to determine the relationship between the mass and impact
noise of 169 icebergs generated by subaerial calving events from Hansbreen,
Svalbard. The analysis includes three major factors affecting the observed
noise: (1) time dependency of the thermohaline structure, (2) variability in
the ocean depth along the waveguide and (3) reflection of impact noise from
the glacier terminus. A correlation of 0.76 is found between the
(log-transformed) kinetic energy of the falling iceberg and the
corresponding measured acoustic energy corrected for these three factors. An
error-in-variables linear regression is applied to estimate the coefficients
of this relationship. Energy conversion coefficients for non-transformed
variables are 8×10-7 and 0.92, respectively, for the
multiplication factor and exponent of the power law. This simple model can
be used to measure solid ice discharge from Hansbreen. Uncertainty in the
estimate is a function of the number of calving events observed; 50 %
uncertainty is expected for eight blocks dropping to 20 % and 10 %,
respectively, for 40 and 135 calving events. It may be possible to lower
these errors if the influence of different calving styles on the received
noise spectra can be determined. |
---|---|
ISSN: | 1994-0424 1994-0416 1994-0424 1994-0416 |
DOI: | 10.5194/tc-14-1025-2020 |