气候变化领域集成服务门户(CCPortal): MABEL photon-counting laser altimetry data in Alaska for ICESat-2 simulations and development

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DOI	10.5194/tc-10-1707-2016
	MABEL photon-counting laser altimetry data in Alaska for ICESat-2 simulations and development
	Brunt K.M.; Neumann T.A.; Amundson J.M.; Kavanaugh J.L.; Moussavi M.S.; Walsh K.M.; Cook W.B.; Markus T.
发表日期	2016
ISSN	19940416
卷号	10 期号:4
英文摘要	Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) is scheduled to launch in late 2017 and will carry the Advanced Topographic Laser Altimeter System (ATLAS), which is a photon-counting laser altimeter and represents a new approach to satellite determination of surface elevation. Given the new technology of ATLAS, an airborne instrument, the Multiple Altimeter Beam Experimental Lidar (MABEL), was developed to provide data needed for satellite-algorithm development and ICESat-2 error analysis. MABEL was deployed out of Fairbanks, Alaska, in July 2014 to provide a test dataset for algorithm development in summer conditions with water-saturated snow and ice surfaces. Here we compare MABEL lidar data to in situ observations in Southeast Alaska to assess instrument performance in summer conditions and in the presence of glacier surface melt ponds and a wet snowpack. Results indicate the following: (1) based on MABEL and in situ data comparisons, the ATLAS 90m beam-spacing strategy will provide a valid assessment of across-track slope that is consistent with shallow slopes (<1°) of an ice-sheet interior over 50 to 150m length scales; (2) the dense along-track sampling strategy of photon counting systems can provide crevasse detail; and (3) MABEL 532nm wavelength light may sample both the surface and subsurface of shallow (approximately 2m deep) supraglacial melt ponds. The data associated with crevasses and melt ponds indicate the potential ICESat-2 will have for the study of mountain and other small glaciers. © 2016 Author(s).
学科领域	algorithm; data set; elevation; ICESat; laser; lidar; mountain region; pond; sampling; satellite altimetry; satellite data; topography; Alaska; United States
语种	英语
scopus关键词	algorithm; data set; elevation; ICESat; laser; lidar; mountain region; pond; sampling; satellite altimetry; satellite data; topography; Alaska; United States
来源期刊	Cryosphere
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/119605
作者单位	Earth System Science Interdisciplinary Center (ESSIC), University of Maryland, College Park, MD, United States; NASA Goddard Space Flight Center, Greenbelt, MD, United States; Department of Natural Sciences, University of Alaska Southeast, Juneau, AK, United States; Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, AB, Canada; Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, CO, United States; National Snow and Ice Data Center (NSIDC), CIRES, University of Colorado, Boulder, CO, United States; Stinger Ghaffarian Technologies Inc., Greenbelt, MD, United States
推荐引用方式 GB/T 7714	Brunt K.M.,Neumann T.A.,Amundson J.M.,et al. MABEL photon-counting laser altimetry data in Alaska for ICESat-2 simulations and development[J],2016,10(4).
APA	Brunt K.M..,Neumann T.A..,Amundson J.M..,Kavanaugh J.L..,Moussavi M.S..,...&Markus T..(2016).MABEL photon-counting laser altimetry data in Alaska for ICESat-2 simulations and development.Cryosphere,10(4).
MLA	Brunt K.M.,et al."MABEL photon-counting laser altimetry data in Alaska for ICESat-2 simulations and development".Cryosphere 10.4(2016).