Results 1 to 10 of about 619 (177)
Initial assessment of all-season Arctic sea ice thickness from ICESat-2 [PDF]
We present an initial assessment of all-season Arctic sea ice thickness estimates from ICESat-2 by combining freeboard retrievals with all-season SnowModel-LG snow loading.
Alek Petty, Alex Cabaj, Jack C. Landy
doaj +2 more sources
Estimating Arctic Sea Ice Thickness with CryoSat-2 Altimetry Data Using the Least Squares Adjustment Method [PDF]
Satellite altimeters can be used to derive long-term and large-scale sea ice thickness changes. Sea ice thickness retrieval is based on measurements of freeboard, and the conversion of freeboard to thickness requires knowledge of the snow depth and snow,
Feng Xiao +5 more
doaj +2 more sources
THE RESEARCH ON ELEVATION CHANGE OF ANTARCTIC ICE SHEET BASED ON CRYOSAT-2 ALIMETER [PDF]
In this paper, the Cryosat-2 altimeter data distributed by the ESA, and these data are processed to extract the information of the elevation change of the Antarctic ice sheet from 2010 to 2017.
Q. Sun, J. Wan, S. Liu, Y. Li
doaj +1 more source
Abstract During the past decades, the rapid decline of sea ice in the Arctic Ocean has substantially favored commercial navigation activities in the summertime. Numerical sea ice prediction on a seasonal scale plays a crucial role in guiding the programme of such activities, yet the role of snow depth data assimilation in numerical sea ice prediction ...
Xi Liang +8 more
wiley +1 more source
Snow depth estimation on leadless landfast ice using Cryo2Ice satellite observations [PDF]
Observations of snow on Arctic Sea ice are vitally important for sea ice thickness estimation, bio-physical processes, and human activities. While previous studies have combined CryoSat-2- and ICESat-2-derived freeboards to estimate snow depth over ...
M. Saha +8 more
doaj +1 more source
Abstract The surface energy budget governs Arctic sea‐ice growth/melt, yet observations are sparse, and reanalysis data sets suffer from systematic biases. Here, we train a neural network with observational data to bias‐correct hourly ERA5 fluxes over Arctic ice‐covered regions (≥70°N; sea‐ice concentration >80%) for 1994–2024.
Akil Hossain +14 more
wiley +1 more source
Greenland Ice Sheet Elevation Change From CryoSat‐2 and ICESat‐2
Although fluctuations in ice sheet surface mass balance lead to seasonal and interannual elevation changes, it is unclear if they are resolved differently by radar and laser satellite altimeters.
Nitin Ravinder +5 more
doaj +1 more source
Abstract Satellite altimetry is advantageous for measuring water surface elevations (WSE) globally. However, biases of time series can be caused by uneven water surfaces, as nadir pointing measurements are often collected at different locations across a lake.
Chi Hsiang Huang, Huilin Gao
wiley +1 more source
Assessment of Lead Discrimination from CryoSat-2 [PDF]
Sea ice is strongly affecting the global climate, and the sea ice extent has been monitored by satellites since 1979. To estimate the Arctic sea ice volume, ice thickness must be determined. The measurements of sea ice thickness are however more difficult to achieve, and encounter limitations due to spatial and temporal variability. The measurements of
Kildegaard Rose, Stine +5 more
openaire
Evaluation of new CryoSat-2 products over the ocean
The CryoSat-2 satellite, primarily dedicated to precise monitoring of the Cryosphere, is demonstrating its capability to provide valuable altimetric data also over the ocean. Here we present the results of a global assessment and validation of the new Geophysical Ocean Product (GOP) distributed by the European Space Agency (ESA) since April 2014 ...
Calafat, F.M. +4 more
openaire +5 more sources

