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

被引：19

作者：

Carreno-Luengo, Hugo ^{[1
]}

Ruf, Christopher S. S. ^{[1
]}

机构：

[1] Univ Michigan, Coll Engn, Dept Climate & Space Sci & Engn, Ann Arbor, MI 48109 USA

来源：

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING | 2022年 / 15卷

关键词：

CH4; climate change; CYGNSS; freeze/thaw; GNSS-R; retrieval algorithm; CLIMATE-CHANGE; SOIL-MOISTURE; GNSS REFLECTOMETRY; FREEZE/THAW STATE; WATER-RESOURCES; RADAR; SENSITIVITY; ORBIT;

D O I：

10.1109/JSTARS.2022.3216463

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：9943 / 9952

页数：10

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