2008
DOI: 10.1029/2007jc004285
|View full text |Cite
|
Sign up to set email alerts
|

Combination of laser and radar altimeter height measurements to estimate snow depth during the 2004 Antarctic AMSR‐E Sea Ice field campaign

Abstract: [1] Among the most important parameters needed to evaluate the present and future state of Antarctic sea ice cover is the ice thickness. The retrieval of ice thickness using remote sensing techniques has been hampered by the absence of a capability to remotely measure snow thickness covering the sea ice. Data sets collected with Johns Hopkins Applied Physics Laboratory's Delay-Doppler Phase Monopulse (D2P) radar and NASA's Airborne Topographic Mapper (ATM) scanning lidar during NASA's Antarctic AMSR-E Sea Ice … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4

Citation Types

0
16
0

Year Published

2008
2008
2016
2016

Publication Types

Select...
9
1

Relationship

1
9

Authors

Journals

citations
Cited by 29 publications
(17 citation statements)
references
References 28 publications
0
16
0
Order By: Relevance
“…This is due to the lack of systematic sea-ice thickness measurements in the Southern Hemisphere. There are only few in situ data sets from upwardlooking sonars (only Weddell Sea; e.g., Harms et al, 2001;Behrendt et al, 2013), drillings (e.g., Lange and Eicken, 1991;Ozsoy-Cicek et al, 2013;Wadhams et al, 1987;Perovich et al, 2004), electromagnetic methods (Haas, 1998;Weissling et al, 2011;Haas et al, 2008) and airborne altimetry (e.g., Dierking, 1995;Leuschen et al, 2008). Those data are distributed unevenly in location, coverage and time and do not allow for the estimation of seasonal and interannual sea-ice volume changes.…”
Section: Introductionmentioning
confidence: 99%
“…This is due to the lack of systematic sea-ice thickness measurements in the Southern Hemisphere. There are only few in situ data sets from upwardlooking sonars (only Weddell Sea; e.g., Harms et al, 2001;Behrendt et al, 2013), drillings (e.g., Lange and Eicken, 1991;Ozsoy-Cicek et al, 2013;Wadhams et al, 1987;Perovich et al, 2004), electromagnetic methods (Haas, 1998;Weissling et al, 2011;Haas et al, 2008) and airborne altimetry (e.g., Dierking, 1995;Leuschen et al, 2008). Those data are distributed unevenly in location, coverage and time and do not allow for the estimation of seasonal and interannual sea-ice volume changes.…”
Section: Introductionmentioning
confidence: 99%
“…The determination of sea ice properties from remote sensing data has been a long sought-after goal through the utilization of a wide variety of instruments and field campaigns (e.g., Wadhams et al, 1991;Comiso et al, 2003;Cavalieri et al, 2006;Leuschen et al, 2008;Haas et al, 2010). Data on sea ice properties from satellite altimetry missions have been used to study the behavior of sea ice at regional to global scales (e.g., Laxon et al, 2003;Giles et al, 2008a;Kwok et al, 2009;Farrell et al, 2009;Zwally et al, 2008;Kurtz and Markus, 2012), while data from airborne remote sensing missions have been used to validate satellite data (e.g., Kurtz et al, 2008;Connor et al, 2009;Laxon et al, 2013) and identify new ways to extend the range of sea ice properties that can be studied using satellite remote sensing data (e.g., .…”
Section: Introductionmentioning
confidence: 99%
“…For measurements collected over the Arctic sea ice during October-March, in which the snow cover is dry and cold, the peak radar return is assumed to come from the snow/ice interface (Laxon and others, 2003). This was confirmed through a comparison of data retrieved from laser and radar altimeters operating from an airborne platform ( Giles and others, 2007; Leuschen and others, 2008). Consequently, during these months accurate sea-ice thickness estimates made from satellite radar-altimeter measurements over the Arctic contain less uncertainty due to snow loading.…”
Section: Introductionmentioning
confidence: 58%