Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements ...
Authors: Yongxiang Hu, Xiaomei Lu, Xubin Zeng, Snorre A Stamnes, Thomas A. Neuman, Nathan T. Kurtz, Pengwang Zhai, Meng Gao, , Wenbo Sun, Kuanman Xu, Zhaoyan Liu, Ali H. Omar, Rosemary R. Baize, Laura J. Rogers, Brandon O. Mitchell, Knut Stamnes, Yuping Huang, Nan Chen, Carl Weimer, Jennifer Lee and...
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Online Access: | https://dx.doi.org/10.13016/m2mgcg-34wf https://mdsoar.org/handle/11603/27033 |
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ftdatacite:10.13016/m2mgcg-34wf 2023-08-27T04:05:12+02:00 Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements ... Hu, Yongxiang Lu, Xiaomei Zeng, Xubin Stamnes, Snorre A Zhai, Peng-Wang Et Al 2022 https://dx.doi.org/10.13016/m2mgcg-34wf https://mdsoar.org/handle/11603/27033 unknown Frontiers Public Domain Mark 1.0 This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. http://creativecommons.org/publicdomain/mark/1.0/ CreativeWork article 2022 ftdatacite https://doi.org/10.13016/m2mgcg-34wf 2023-08-07T14:24:23Z Authors: Yongxiang Hu, Xiaomei Lu, Xubin Zeng, Snorre A Stamnes, Thomas A. Neuman, Nathan T. Kurtz, Pengwang Zhai, Meng Gao, , Wenbo Sun, Kuanman Xu, Zhaoyan Liu, Ali H. Omar, Rosemary R. Baize, Laura J. Rogers, Brandon O. Mitchell, Knut Stamnes, Yuping Huang, Nan Chen, Carl Weimer, Jennifer Lee and Zachary Fair ... : Snow is a crucial element in the Earth’s system, but snow depth and mass are very challenging to be measured globally. Here, we provide the theoretical foundation for deriving snow depth directly from space-borne lidar (ICESat-2) snow multiple scattering measurements for the first time. First, based on the Monte Carlo lidar radiative transfer simulations of ICESat-2 measurements of 532-nm laser light propagation in snow, we find that the lidar backscattering path length follows Gamma distribution. Next, we derive three simple analytical equations to compute snow depth from the average, second-, and third-order moments of the distribution. As a preliminary application, these relations are then used to retrieve snow depth over the Antarctic ice sheet and the Arctic sea ice using the ICESat-2 lidar multiple scattering measurements. The robustness of this snow depth technique is demonstrated by the agreement of snow depth computed from the three derived relations using both modeled data and ICESat-2 observations. ... Article in Journal/Newspaper Antarc* Antarctic Arctic Ice Sheet Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic Antarctic The Antarctic Stamnes ENVELOPE(9.020,9.020,63.443,63.443) |
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DataCite Metadata Store (German National Library of Science and Technology) |
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Authors: Yongxiang Hu, Xiaomei Lu, Xubin Zeng, Snorre A Stamnes, Thomas A. Neuman, Nathan T. Kurtz, Pengwang Zhai, Meng Gao, , Wenbo Sun, Kuanman Xu, Zhaoyan Liu, Ali H. Omar, Rosemary R. Baize, Laura J. Rogers, Brandon O. Mitchell, Knut Stamnes, Yuping Huang, Nan Chen, Carl Weimer, Jennifer Lee and Zachary Fair ... : Snow is a crucial element in the Earth’s system, but snow depth and mass are very challenging to be measured globally. Here, we provide the theoretical foundation for deriving snow depth directly from space-borne lidar (ICESat-2) snow multiple scattering measurements for the first time. First, based on the Monte Carlo lidar radiative transfer simulations of ICESat-2 measurements of 532-nm laser light propagation in snow, we find that the lidar backscattering path length follows Gamma distribution. Next, we derive three simple analytical equations to compute snow depth from the average, second-, and third-order moments of the distribution. As a preliminary application, these relations are then used to retrieve snow depth over the Antarctic ice sheet and the Arctic sea ice using the ICESat-2 lidar multiple scattering measurements. The robustness of this snow depth technique is demonstrated by the agreement of snow depth computed from the three derived relations using both modeled data and ICESat-2 observations. ... |
format |
Article in Journal/Newspaper |
author |
Hu, Yongxiang Lu, Xiaomei Zeng, Xubin Stamnes, Snorre A Zhai, Peng-Wang Et Al |
spellingShingle |
Hu, Yongxiang Lu, Xiaomei Zeng, Xubin Stamnes, Snorre A Zhai, Peng-Wang Et Al Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements ... |
author_facet |
Hu, Yongxiang Lu, Xiaomei Zeng, Xubin Stamnes, Snorre A Zhai, Peng-Wang Et Al |
author_sort |
Hu, Yongxiang |
title |
Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements ... |
title_short |
Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements ... |
title_full |
Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements ... |
title_fullStr |
Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements ... |
title_full_unstemmed |
Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements ... |
title_sort |
deriving snow depth from icesat-2 lidar multiple scattering measurements ... |
publisher |
Frontiers |
publishDate |
2022 |
url |
https://dx.doi.org/10.13016/m2mgcg-34wf https://mdsoar.org/handle/11603/27033 |
long_lat |
ENVELOPE(9.020,9.020,63.443,63.443) |
geographic |
Arctic Antarctic The Antarctic Stamnes |
geographic_facet |
Arctic Antarctic The Antarctic Stamnes |
genre |
Antarc* Antarctic Arctic Ice Sheet Sea ice |
genre_facet |
Antarc* Antarctic Arctic Ice Sheet Sea ice |
op_rights |
Public Domain Mark 1.0 This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. http://creativecommons.org/publicdomain/mark/1.0/ |
op_doi |
https://doi.org/10.13016/m2mgcg-34wf |
_version_ |
1775356737519353856 |