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Mapping Freezing and Thawing Surface State Periods With the CYGNSS Based F/T Seasonal Threshold Algorithm

التفاصيل البيبلوغرافية
العنوان: Mapping Freezing and Thawing Surface State Periods With the CYGNSS Based F/T Seasonal Threshold Algorithm
المؤلفون: Hugo Carreno-Luengo, Christopher S. Ruf
المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 9943-9952 (2022)
بيانات النشر: IEEE, 2022.
سنة النشر: 2022
المجموعة: LCC:Ocean engineering
LCC:Geophysics. Cosmic physics
مصطلحات موضوعية: CH4, climate change, CYGNSS, freeze/thaw, GNSS-R, retrieval algorithm, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809
الوصف: Freeze/Thaw (F/T) surface state detection and imaging has been demonstrated as a capability of NASA's Cyclone Global Navigation Satellite System mission. The objective of the research presented here is the application of an existing F/T retrieval algorithm to multiple target areas over several years in order to demonstrate the ability to provide long term trending of F/T behavior. Metrics are developed and evaluated to characterize F/T trends related to global warming. They include the annual fraction of time spent frozen and thawed as a function of location and year, and the earliest fall freeze and earliest spring thaw as a function of location and year. The results demonstrate the capability of Global Navigation Satellite Systems Reflectometry to provide long term trending of F/T behavior relevant to studies of climate change.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2151-1535
Relation: https://ieeexplore.ieee.org/document/9926088/; https://doaj.org/toc/2151-1535
DOI: 10.1109/JSTARS.2022.3216463
URL الوصول: https://doaj.org/article/a40531c105e74807bf21cc6c272071d6
رقم الأكسشن: edsdoj.40531c105e74807bf21cc6c272071d6
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:21511535
DOI:10.1109/JSTARS.2022.3216463