Snow Depth Distribution Over Sea Ice in the Southern Ocean from Satellite Passive Microwave Data

2013 ◽  
pp. 19-39 ◽  
Author(s):  
Thorsten Markus ◽  
Donald J. Cavalieri
Keyword(s):  
Southern Ocean ◽  
Sea Ice ◽  
Snow Depth ◽  
Depth Distribution ◽  
Passive Microwave ◽  
Microwave Data

A comparison between coincident laser and Ku radar versus S- to C-band 'snow radar' data for airborne retrievals of snow depth on sea ice

2021 ◽  
Author(s):  
Claude de Rijke-Thomas ◽  
Jack Landy ◽  
Joshua King ◽  
Michel Tsamados
Keyword(s):  
Sea Ice ◽  
Snow Depth ◽  
Depth Distribution ◽  
Laser Scanner ◽  
Radar Data ◽  
Scanner Data ◽  
Sea Ice Thickness ◽  
Band Frequency ◽  
Radar Waveforms ◽  
Calibration Step

<p>Snow depth estimates remain a large uncertainty for constraining the accuracy of sea ice thickness retrievals from polar altimetry. There have been several recent investigations into methods for estimating snow depth from airborne observations over sea ice; this poster outlines a comparison between two different methods applied to Operation IceBridge data from the Spring 2016 campaign. The first co-locates visible-band laser scanner data from the Airborne Topographic Mapper with Ku-band data from the CReSIS radar, using a fixed threshold first-maximum retracker algorithm for retracking radar waveforms and applying a calibration step to remove the vertical offset between sensors at leads. This method represents an airborne proxy for the newly-aligned ICESat-2 and CryoSat-2 orbits of the Cryo2Ice campaign. The second method uses the conventional CReSIS ultrawide-band frequency‐modulated continuous‐wave ‘snow radar’ system, that ranges between S- and C-band, applying the retracker algorithm described by Newman et al 2014. We evaluate properties of the estimated snow depth distribution, and alignment of air-snow and snow-ice interfaces, along the aircraft track and the scale of correlation between sensors.</p>

scholarly journals Snow Depth Retrieval on Arctic Sea Ice From Passive Microwave Radiometers—Improvements and Extensions to Multiyear Ice Using Lower Frequencies

2018 ◽  
Vol 123 (10) ◽  
pp. 7120-7138 ◽  
Author(s):  
Philip Rostosky ◽  
Gunnar Spreen ◽  
Sinead L. Farrell ◽  
Torben Frost ◽  
Georg Heygster ◽  
...  
Keyword(s):  
Sea Ice ◽  
Snow Depth ◽  
Arctic Sea Ice ◽  
Passive Microwave ◽  
Arctic Sea ◽  
Microwave Radiometers ◽  
Multiyear Ice ◽  
Lower Frequencies

Estimation of melt pond fraction over high-concentration Arctic sea ice using AMSR-E passive microwave data

2016 ◽  
Vol 121 (9) ◽  
pp. 7056-7072 ◽  
Author(s):  
Yasuhiro Tanaka ◽  
Kazutaka Tateyama ◽  
Takao Kameda ◽  
Jennifer K. Hutchings
Keyword(s):  
Sea Ice ◽  
Arctic Sea Ice ◽  
Passive Microwave ◽  
High Concentration ◽  
Melt Pond ◽  
Arctic Sea ◽  
Microwave Data

scholarly journals Comparison of passive microwave remote-sensing snow-depth products on Arctic sea ice

2019 ◽  
Vol 38 (0) ◽  
Author(s):  
Chenlei Zhang ◽  
Qing Ji ◽  
Xiaoping Pang ◽  
Jie Su ◽  
Chang Liu
Keyword(s):  
Remote Sensing ◽  
Sea Ice ◽  
Snow Depth ◽  
Microwave Remote Sensing ◽  
Arctic Sea Ice ◽  
Passive Microwave ◽  
Passive Microwave Remote Sensing ◽  
Arctic Sea

scholarly journals Advances in Sea-Ice Research Based on Remotely Sensed Passive Microwave Data

Oceanography ◽  
1993 ◽  
Vol 6 (1) ◽  
pp. 4-12 ◽  
Author(s):  
Barry ◽  
Masianik ◽  
Steffen ◽  
Weaver ◽  
Troisi ◽  
...  
Keyword(s):  
Sea Ice ◽  
Remotely Sensed ◽  
Passive Microwave ◽  
Microwave Data
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