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Constructing a Seasonal and Sub-seasonal Variance Budget for OCO-2 XCO2 for North America and Adjacent Ocean Basins

Kayla Alexis Mitchell,  University of Virginia,  kam9rc@virginia.edu (Presenter)
Scott Doney,  University of Virginia,  scd5c@virginia.edu
Gretchen Keppel-Aleks,  University of Michigan,  gkeppela@umich.edu

We characterize seasonal and sub-seasonal variance in OCO-2 XCO2 over North America from 2014-2019. Hemispheric and regional-scale patterns emerge in XCO2 seasonal amplitudes, reflecting a combination of seasonality in underlying surface ecosystem CO2 fluxes and transported ecosystem signals. The terrestrial Pacific Northwest exhibits lower seasonal amplitudes compared to the adjacent northeast Pacific Ocean, demonstrating that seasonal variance XCO2 is not totally shaped by local surface fluxes. We find significant regional variations and land-ocean contrasts in sub-seasonal XCO2 variance (synoptic plus mesoscale XCO2 anomalies), with the greatest sub-seasonal variance of 1.2 - 1.8 ppm2 over the northern continental U.S. and Canada. Along the west coast, sub-seasonal variance over land was nearly double that over the ocean (1.9 ppm2 versus 1.0 ppm2). Along the east coast, sub-seasonal variance over land was also greater than that over the ocean (1.6 ppm2 versus 1.1 ppm2), with possible advection of the continental signal offshore. Sub-seasonal XCO2 variance across the domain primarily peaks during the summer months, likely reflecting synoptic-scale advection across the hemispheric summertime XCO2 concentration gradient and a more sensitive biosphere. Further research efforts will partition the sub-seasonal XCO2 variance across the domain into noise, mesoscale, and synoptic-scale variations. We will assess these patterns in terms of pointing mode, retrieval covariates (surface type, albedo, topography), atmosphere dynamics (wind direction/speed, large-scale gradients, synoptic storm patterns), and surface CO2 flux variability. We will quantify the contributions of these different sources of variance in OCO-2 observations for use in formal inverse modeling and flux inference.

Poster: Poster_Mitchell_0_85_25.pdf 

Presentation Type: Poster

Session: 3.5c Flux estimates and atmospheric inversions from space-based GHG measurements

Session Date: Wednesday (6/16) 12:00 PM

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