Assessing scalar concentration footprint climatology and land surface impacts on tall-tower CO2 concentration measurements in the boreal forest of central Saskatchewan, Canada

Assessing scalar concentration footprint climatology and land surface impacts on tall-tower CO2 concentration measurements in the boreal forest of central Saskatchewan, Canada
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DOI:
10.1007/s00704-013-1038-2
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发表时间:
2014-10
影响因子:
3.4
通讯作者:
Baozhang Chen;Huifang Zhang;N. Coops;D. Fu;D. Worthy;Guangkuo Xu;T. Black
Baozhang Chen;Huifang Zhang;N. Coops;D. Fu;D. Worthy;Guangkuo Xu;T. Black
中科院分区:
地球科学3区
文献类型:
--
作者:
Baozhang Chen;Huifang Zhang;N. Coops;D. Fu;D. Worthy;Guangkuo Xu;T. Black

文献摘要

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Reducing the large uncertainties in current estimates of CO2sources and sinks at regional scales (102–105km2) is fundamental to improving our understanding of the terrestrial carbon cycle. Continuous high-precision CO2concentration measurements on a tower within the planetary boundary layer contain information on regional carbon fluxes; however, its spatial representativeness is generally unknown. In this study, we developed a footprint model (Simple Analytical Footprint model based on Eulerian coordinates for scalar Concentration [SAFE-C]) and applied it to two CO2concentration towers in central Canada: the East Trout Lake 106-m-tall tower (54°21′N, 104°59′W) and the Candle Lake 28-m-high tower (53°59′N, 105°07′W). Results show that the ETL tower’s annual concentration footprints were around 103–105km2. The monthly footprint climatologies in summer were 1.5–2 times larger than in winter. The impacts of land surface carbon flux associated with heterogeneous distribution of vegetation types on the CO2concentration measurements were different for the different heights, varied with a range of ±5 % to ±10 % among four heights. This study indicates that concentration footprint climatology analysis is important in interpreting the seasonal, annual and inter-annual variations of tower measured CO2concentration data and is essential for comparing and scaling regional carbon flux estimates using top-down or bottom-up approaches.