Advancements in Multi-Year Ice Concentration Estimation from SSM/I 91.6GHz Observations

Yue Zhao; Xingdong Wang; Zifan Zhang

doi:10.62762/TIOT.2024.682080

Article Information

Published in ICCK Transactions on Internet of Things

Volume/Issue Volume 2, Issue 1, 2024

Pages 26-35

Abstract

To enhance the LOMAX algorithm for sea ice concentration analysis in the polar regions, SSM/I 91.6GHz data was utilized, addressing the underuse of higher frequency data. The refinement process involved redefining PCT values for one-year and multi-year ice regions through both interpolation and least squares methods. Moreover, band operations were conducted to facilitate Arctic multi-year ice concentration retrieval. Comparative analyses with the NT algorithm indicated that the Arctic sea ice extents determined by both algorithms were similar, affirming the credibility of the modified LOMAX algorithm. When examining the results for March and September, the updated LOMAX algorithm demonstrated improved accuracy over the NT algorithm, especially under summer ice melt conditions, highlighting the enhanced performance and reliability of the refined algorithm in various seasonal contexts.

Graphical Abstract

Advancements in Multi-Year Ice Concentration Estimation from SSM/I 91.6GHz Observations

Keywords

LOMAX Multi-year ice concentration 91.6 GHz

Funding

This work was supported without any funding.

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Cite This Article

APA Style

Zhao, Y., Wang, X., & Zhang, Z. (2024). Advancements in Multi-Year Ice Concentration Estimation from SSM/I 91.6GHz Observations. ICCK Transactions on Internet of Things, 2(1), 26–35. https://doi.org/10.62762/TIOT.2024.682080

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TY  - JOUR
AU  - Zhao, Yue
AU  - Wang, Xingdong
AU  - Zhang, Zifan
PY  - 2024
DA  - 2024/03/12
TI  - Advancements in Multi-Year Ice Concentration Estimation from SSM/I 91.6GHz Observations
JO  - ICCK Transactions on Internet of Things
T2  - ICCK Transactions on Internet of Things
JF  - ICCK Transactions on Internet of Things
VL  - 2
IS  - 1
SP  - 26
EP  - 35
DO  - 10.62762/TIOT.2024.682080
UR  - https://www.icck.org/article/abs/TIOT.2024.682080
KW  - LOMAX
KW  - Multi-year ice concentration
KW  - 91.6 GHz
AB  - To enhance the LOMAX algorithm for sea ice concentration analysis in the polar regions, SSM/I 91.6GHz data was utilized, addressing the underuse of higher frequency data. The refinement process involved redefining PCT values for one-year and multi-year ice regions through both interpolation and least squares methods. Moreover, band operations were conducted to facilitate Arctic multi-year ice concentration retrieval. Comparative analyses with the NT algorithm indicated that the Arctic sea ice extents determined by both algorithms were similar, affirming the credibility of the modified LOMAX algorithm. When examining the results for March and September, the updated LOMAX algorithm demonstrated improved accuracy over the NT algorithm, especially under summer ice melt conditions, highlighting the enhanced performance and reliability of the refined algorithm in various seasonal contexts.
SN  - pending
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  -

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@article{Zhao2024Advancemen,
  author = {Yue Zhao and Xingdong Wang and Zifan Zhang},
  title = {Advancements in Multi-Year Ice Concentration Estimation from SSM/I 91.6GHz Observations},
  journal = {ICCK Transactions on Internet of Things},
  year = {2024},
  volume = {2},
  number = {1},
  pages = {26-35},
  doi = {10.62762/TIOT.2024.682080},
  url = {https://www.icck.org/article/abs/TIOT.2024.682080},
  abstract = {To enhance the LOMAX algorithm for sea ice concentration analysis in the polar regions, SSM/I 91.6GHz data was utilized, addressing the underuse of higher frequency data. The refinement process involved redefining PCT values for one-year and multi-year ice regions through both interpolation and least squares methods. Moreover, band operations were conducted to facilitate Arctic multi-year ice concentration retrieval. Comparative analyses with the NT algorithm indicated that the Arctic sea ice extents determined by both algorithms were similar, affirming the credibility of the modified LOMAX algorithm. When examining the results for March and September, the updated LOMAX algorithm demonstrated improved accuracy over the NT algorithm, especially under summer ice melt conditions, highlighting the enhanced performance and reliability of the refined algorithm in various seasonal contexts.},
  keywords = {LOMAX, Multi-year ice concentration, 91.6 GHz},
  issn = {pending},
  publisher = {Institute of Central Computation and Knowledge}
}

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