Authors: Qian Yu*, University of Massachusetts-Amherst, Jiwei Li, Arizona State University, Yong Tian, Central Michigan University
Topics: Remote Sensing, Global Change, Coastal and Marine
Keywords: Remote sensing, Dissolved organic carbon, arctic
Session Type: Paper
Start / End Time: 3:05 PM / 4:20 PM
Room: Director's Row I, Sheraton, Plaza Building, Lobby Level
Presentation File: No File Uploaded
Arctic Ocean receives a significant amount of terrestrially derived DOC input that was sensitive to global environmental change. This study highlights one robust satellite-based solution for understanding multiple factors driving spatial and temporal variation of riverine DOC flux in Arctic large rivers: temperature, biological properties, and hydrological processes. The incorporation of co-variations of freshwater DOC and CDOM by using a recent algorithm made it possible to analyze carbon loading patterns reliably from the satellite imagery. This study focuses on six large Arctic Rivers (Kolyma, Lena, Mackenzie, Ob’, Yenisey and Yukon) from 2012 to 2016. Results demonstrated that annual DOC flux among six rivers could be as large as ~18.75 Tg with discharge of 2206 km3. Annual DOC flux increased by 8.5 % within relative same discharge by comparing with the period from 2004 to 2005 (DOC = 17.28 Tg, Water = 2183 km3) in relative equal discharge. Changing of DOC flux showed strong quantitative correlation to landcover change, temperature/precipitation increase and thawing of permafrost in Arctic regions.