Saturday, September 27, 2025
Science
No Result
View All Result
  • Login
  • HOME
  • SCIENCE NEWS
  • CONTACT US
  • HOME
  • SCIENCE NEWS
  • CONTACT US
No Result
View All Result
Scienmag
No Result
View All Result
Home Science News Climate

Ice recon: Satellite navigation breakthrough in mapping sea ice thickness

June 24, 2024
in Climate
Reading Time: 3 mins read
0
Schemes of the combined model.
65
SHARES
595
VIEWS
Share on FacebookShare on Twitter
ADVERTISEMENT

A cutting-edge study harnesses the power of spaceborne Global Navigation Satellite System-Reflectometry (GNSS-R) technology to accurately measure sea ice thickness, a critical parameter for understanding climate change impacts in polar regions. This breakthrough method, using a sophisticated three-layer model, significantly enhances the precision of thickness estimation, offering a vital tool for climate scientists and polar explorers.

Schemes of the combined model.

Credit: Satellite Navigation

A cutting-edge study harnesses the power of spaceborne Global Navigation Satellite System-Reflectometry (GNSS-R) technology to accurately measure sea ice thickness, a critical parameter for understanding climate change impacts in polar regions. This breakthrough method, using a sophisticated three-layer model, significantly enhances the precision of thickness estimation, offering a vital tool for climate scientists and polar explorers.

The polar regions are critical to understanding climate change due to their significant impact on global weather patterns and sea levels. Traditional methods of measuring sea ice thickness face challenges such as high costs and limited spatial coverage. Due to these challenges, an in-depth study is necessary to explore more efficient and accurate techniques for sea ice thickness retrieval.

Researchers at the School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, have published their findings (DOI: 10.1186/s43020-024-00138-5) in the Satellite Navigation journal on 10 June 2024. The study introduces a refined method using Fengyun-3E (FY-3E) satellite data to estimate sea ice thickness (SIT) with a three-layer model, promising a significant advancement in polar climate studies.

The study rigorously evaluates the performance of a novel three-layer model against the traditional two-layer model for retrieving SIT. Using sea ice data from 2022 and 2023, the three-layer model demonstrated a Root Mean Square Error (RMSE) of 0.149 meters and a correlation coefficient (r) of 0.830, indicating high accuracy. In contrast, the two-layer model, while effective for thin ice, showed reduced accuracy for thicker ice, with an RMSE of 0.162 meters and an r value of 0.789. To maximize accuracy, researchers combined the two models, resulting in an RMSE of 0.137 meters and an r value of 0.852. This combined approach significantly enhances the precision of SIT retrieval, making it applicable to ice thicknesses up to 1.1 meters. This marks a substantial advancement in remote sensing techniques for polar research.

Dr. Qingyun Yan, one of the lead researchers, stated, “This innovative approach leverages the strengths of both two-layer and three-layer models, providing a more accurate and reliable method for monitoring sea ice thickness. It represents a crucial step forward in our ability to study and understand polar regions.”

The enhanced accuracy of sea ice thickness measurements has profound implications for climate research, marine resource development, and polar expedition planning. This method offers a cost-effective and comprehensive solution for large-scale SIT monitoring, aiding in the prediction of climatic changes and supporting sustainable practices in polar regions. Future developments in GNSS-R technology may further refine these models, leading to even more precise measurements.

###

References

DOI

10.1186/s43020-024-00138-5

Original Source URL

Funding information

This research was funded by the National Natural Science Foundation of China under Grant 42001362.

About Satellite Navigation

Satellite Navigation (E-ISSN: 2662-1363; ISSN: 2662-9291) is the official journal of Aerospace Information Research Institute, Chinese Academy of Sciences. The journal aims to report innovative ideas, new results or progress on the theoretical techniques and applications of satellite navigation. The journal welcomes original articles, reviews and commentaries.



Journal

Satellite Navigation

DOI

10.1186/s43020-024-00138-5

Subject of Research

Not applicable

Article Title

Retrieval of sea ice thickness using FY-3E/GNOS-II data

Article Publication Date

10-Jun-2024

COI Statement

The authors declare that they have no competing interests.

Share26Tweet16
Previous Post

Health care delivered in a patient’s preferred language could decrease emergency department visits, hospitalizations and death

Next Post

Comparison of no-test telehealth and in-person medication abortion

Related Posts

blank
Climate

Dynamic Grids Cut Wildfire Costs in Power Sector

September 25, 2025
blank
Climate

Development Policy Shapes China’s Coastal Flood Risk Over Sea-Level Rise

September 24, 2025
blank
Climate

Wildfires Delay Arctic Snow Cover Amid Warming

September 23, 2025
blank
Climate

Private Sector Driving Climate Change Adaptation Investments

September 22, 2025
blank
Climate

Global Coastal Retreat Driven by Climate Vulnerability

September 22, 2025
blank
Climate

GenAI’s Potential and Limits in Tackling Climate Doubt

September 19, 2025
Next Post

Comparison of no-test telehealth and in-person medication abortion

  • Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study

    Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study

    27560 shares
    Share 11021 Tweet 6888
  • University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept

    969 shares
    Share 388 Tweet 242
  • Bee body mass, pathogens and local climate influence heat tolerance

    646 shares
    Share 258 Tweet 162
  • Researchers record first-ever images and data of a shark experiencing a boat strike

    512 shares
    Share 205 Tweet 128
  • Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function

    468 shares
    Share 187 Tweet 117
Science

Embark on a thrilling journey of discovery with Scienmag.com—your ultimate source for cutting-edge breakthroughs. Immerse yourself in a world where curiosity knows no limits and tomorrow’s possibilities become today’s reality!

RECENT NEWS

  • Viewing single status as inherently negative bias.
  • NICU Volume and Care Impact VLBW Infant Outcomes
  • Whey-Boosted Serum-Free Medium Expands Bovine Myoblasts
  • Exploring Neonatal Nurses’ Digital Health Competencies

Categories

  • Agriculture
  • Anthropology
  • Archaeology
  • Athmospheric
  • Biology
  • Blog
  • Bussines
  • Cancer
  • Chemistry
  • Climate
  • Earth Science
  • Marine
  • Mathematics
  • Medicine
  • Pediatry
  • Policy
  • Psychology & Psychiatry
  • Science Education
  • Social Science
  • Space
  • Technology and Engineering

Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 5,186 other subscribers

© 2025 Scienmag - Science Magazine

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • HOME
  • SCIENCE NEWS
  • CONTACT US

© 2025 Scienmag - Science Magazine

Discover more from Science

Subscribe now to keep reading and get access to the full archive.

Continue reading