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PI: Lei Hu (NOAA/CIRES)

Toward disentangling causes for the substantial increase of CO 2 seasonal cycle amplitude in the Arctic. PI: Lei Hu (NOAA/CIRES) Co-PIs & Co-Is: Arlyn Andrews (NOAA), Steve Montzka (NOAA), Kathryn McKain (NOAA/CIRES), John Miller (NOAA), John Henderson (AER).

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PI: Lei Hu (NOAA/CIRES)

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  1. Toward disentangling causes for the substantial increase of CO2 seasonal cycle amplitude in the Arctic PI: Lei Hu (NOAA/CIRES) Co-PIs & Co-Is: Arlyn Andrews (NOAA), Steve Montzka (NOAA), Kathryn McKain (NOAA/CIRES), John Miller (NOAA), John Henderson (AER) Collaborators: Scott Denning (CSU), Ian Baker(CSU), Jim Abshire(NASA/GSFC) Thanks to Colm Sweeney for helping with the development of this proposal and facilitating our interaction with other ABoVE projects. Questions to lei.hu@noaa.gov

  2. Increasing CO2 Seasonal Cycle Amplitude (SCA) Possible causes? 1972 – 1974 2015 - 2017

  3. Project Goal and Scientific Objectives Disentangle potential causes that resulted in enhanced CO2 SCA in northern high latitudes Separating and quantifying contributions of GPP and respiration from the Arctic ecosystems The ABoVE region 2015 - 2019 pan-Arctic 2000 onward Polar-VPRM Using CO2 and COS, satellite products Separating and quantifying contributions of mid-latitudev.s. high-latitude fluxes to the enhanced SCA Using CarbonTracker

  4. Uniqueness of Our Approach • We will use CO2 and COS to partition GPP and respiration from NEE

  5. Uniqueness of Our Approach • We will use the most abundant observational datasets ABoVE Region - Atmospheric CO2 and COS data from flasks, in situ, and satellites • Flask + In situ • ArcticCAP • ATom • CARVE • NSA • NOAA GGRN • Remote sensing • ASCENDS • OCO-2 - Satellite land-data products SMAP soil moisture TROPOMI SIF MODIS NDVI MODIS FPAR MODIS GPP MODIS land surface temperature MODIS precipitable water Flask sampling (campaign, long-term) ABoVE in situ (ArcticCAP) OCO2 (V9)

  6. Uniqueness of Our Approach • We will use multiple modeling approaches, leveraging advantages of both regional and global models Response of North American NEE to ENSO • 0.1o regional inverse model – CarbonTracker-ABoVE • Satellite-data driven Polar-VPRM • CarbonTracker Hu et al., Science Advances (in press)

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