2016
DOI: 10.1073/pnas.1601085113
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Detecting regional patterns of changing CO 2 flux in Alaska

Abstract: With rapid changes in climate and the seasonal amplitude of carbon dioxide (CO 2 ) in the Arctic, it is critical that we detect and quantify the underlying processes controlling the changing amplitude of CO 2 to better predict carbon cycle feedbacks in the Arctic climate system. We use satellite and airborne observations of atmospheric CO 2 with climatically forced CO 2 flux simulations to assess the detectability of Alaskan carbon cycle signals as future warming evolves. We find that current satellite remote … Show more

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Cited by 38 publications
(47 citation statements)
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“…Simulations are spun up from 2000 to 2008 to establish hemispheric gradients. The experiments based on GEOS‐Chem and CLM are described in more detail in Parazoo et al []. As we will demonstrate, the modeled CO 2 seasonal cycle from our GEOS‐Chem/CLM setup compares well with that from the NOAA Marine Boundary Layer Reference data set.…”
Section: Data and Experimental Designmentioning
confidence: 70%
“…Simulations are spun up from 2000 to 2008 to establish hemispheric gradients. The experiments based on GEOS‐Chem and CLM are described in more detail in Parazoo et al []. As we will demonstrate, the modeled CO 2 seasonal cycle from our GEOS‐Chem/CLM setup compares well with that from the NOAA Marine Boundary Layer Reference data set.…”
Section: Data and Experimental Designmentioning
confidence: 70%
“…Future efforts to reduce these errors and interpret patterns of thaw vs. C flux onset requires at a minimum nonlinear interpolation methods for monthly SIF and ideally more spatiotemporal explicit application of satellite SIF data in light use efficiency models. More sustained early season, spatially intensive sampling of airborne CO 2 (Parazoo et al., ) and longer term eddy covariance fluxes and from additional sites in high northern boreal forests is also needed.…”
Section: Discussionmentioning
confidence: 99%
“…We use the coupled permafrost and biogeochemistry Community Land Model version 4.5 (CLM4.5) to investigate in detail the subsurface thermal processes driving C emissions from shallow (0-3 m) and deep (> 3 m) permafrost C stocks and to project the rate of NHL permafrost C feedbacks (> 55 • N) over the 21st century. Using CLM4.5 in the framework of an observing system simulation experiment (Parazoo et al, 2016), we ask how we might be able to (1) identify potential thresholds in soil thaw, (2) detect the specific changes in soil thermal regimes that lead to changes in ecosystem C balance, and (3) project future C sources following talik onset. We hypothesize that talik formation in permafrost triggers accelerated respiration of deep soil C and, ultimately, NHL ecosystem transition to long-term C sources.…”
Section: Introductionmentioning
confidence: 99%