Academic Journal

Multisensor data fusion of operational sea ice observations

التفاصيل البيبلوغرافية
العنوان: Multisensor data fusion of operational sea ice observations
المؤلفون: Keguang Wang, Caixin Wang, Frode Dinessen, Gunnar Spreen, Robert Ricker, Xiangshan Tian-Kunze
المصدر: Frontiers in Marine Science, Vol 11 (2024)
بيانات النشر: Frontiers Media S.A., 2024.
سنة النشر: 2024
المجموعة: LCC:Science
LCC:General. Including nature conservation, geographical distribution
مصطلحات موضوعية: multisensor optimal data fusion (MODF), regridding, multisensor optimal data merging (MODM), sea ice concentration (SIC), sea ice thickness (SIT), sea ice volume (SIV), Science, General. Including nature conservation, geographical distribution, QH1-199.5
الوصف: Multisensor data fusion (MDF) is a process/technique of combining observations from multiple sensors to provide a more robust, accurate and complete description of the concerned object, environment or process. In this paper we introduce a new MDF method, multisensor optimal data fusion (MODF), to fuse different operational sea ice observations around Svalbard. The overall MODF includes regridding, univariate multisensor optimal data merging (MODM), multivariate check of consistency, and generation of new variables. For MODF of operational sea ice observations around Svalbard, the AMSR2 sea ice concentration (SIC) is firstly merged with the Norwegian Meteorological Institute ice chart. Then the daily SMOS sea ice thickness (SIT) is merged with the weekly CS2SMOS SIT to form a daily CS2SMOS SIT, which is further refined to be consistent with the SIC through consistency check. Finally sea ice volume (SIV) and its uncertainty are calculated based on the merged SIC and fused SIT. The fused products provide an improved, united, consistent and multifaceted description for the operational sea ice observations, they also provide consistent descriptions of sea ice edge and marginal ice zone. We note that uncertainties may vary during the regridding process, and therefore correct determination of the observation uncertainties is critically important for MDF. This study provides a basic framework for managing multivariate multisensor observations.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2296-7745
Relation: https://www.frontiersin.org/articles/10.3389/fmars.2024.1366002/full; https://doaj.org/toc/2296-7745
DOI: 10.3389/fmars.2024.1366002
URL الوصول: https://doaj.org/article/909f249037394cf3854e747685b0301b
رقم الانضمام: edsdoj.909f249037394cf3854e747685b0301b
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:22967745
DOI:10.3389/fmars.2024.1366002