Using atmospheric trace gas vertical profiles to evaluate model fluxes: a case study of Arctic-CAP observations and GEOS simulations for the ABoVE domain
-
Published:2022-05-17
Issue:9
Volume:22
Page:6347-6364
-
ISSN:1680-7324
-
Container-title:Atmospheric Chemistry and Physics
-
language:en
-
Short-container-title:Atmos. Chem. Phys.
Author:
Sweeney ColmORCID, Chatterjee AbhishekORCID, Wolter Sonja, McKain KathrynORCID, Bogue Robert, Conley StephenORCID, Newberger Tim, Hu LeiORCID, Ott Lesley, Poulter BenjaminORCID, Schiferl LukeORCID, Weir BradORCID, Zhang ZhenORCID, Miller Charles E.
Abstract
Abstract. Accurate estimates of carbon–climate feedbacks require an
independent means for evaluating surface flux models at regional scales. The
altitude-integrated enhancement (AIE) derived from the Arctic Carbon
Atmospheric Profiles (Arctic-CAP) project demonstrates the utility of this
bulk quantity for surface flux model evaluation. This bulk quantity
leverages background mole fraction values from the middle free troposphere,
is agnostic to uncertainties in boundary layer height, and can be derived
from model estimates of mole fractions and vertical gradients. To
demonstrate the utility of the bulk quantity, six airborne profiling surveys
of atmospheric carbon dioxide (CO2), methane (CH4), and carbon
monoxide (CO) throughout Alaska and northwestern Canada between April and
November 2017 were completed as part of NASA's Arctic–Boreal Vulnerability
Experiment (ABoVE). The Arctic-CAP sampling strategy involved acquiring
vertical profiles of CO2, CH4, and CO from the surface to 5 km
altitude at 25 sites around the ABoVE domain on a 4- to 6-week time
interval. All Arctic-CAP measurements were compared to a global simulation
using the Goddard Earth Observing System (GEOS) modeling system. Comparisons
of the AIE bulk quantity from aircraft observations and GEOS simulations of
atmospheric CO2, CH4, and CO highlight the fidelity of the modeled
surface fluxes. The model–data comparison over the ABoVE domain reveals that
while current state-of-the-art models and flux estimates are able to capture
broad-scale spatial and temporal patterns in near-surface CO2 and
CH4 concentrations, more work is needed to resolve fine-scale flux
features that are captured in CO observations.
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference74 articles.
1. Allen, M., Erickson, D., Kendall, W., Fu, J., Ott, L., and Pawson, S.: The
influence of internal model variability in GEOS-5 on interhemispheric
CO2 exchange, J. Geophys. Res.-Atmos., 117, D10107,
https://doi.org/10.1029/2011jd017059, 2012. 2. Arora, V. K., Katavouta, A., Williams, R. G., Jones, C. D., Brovkin, V., Friedlingstein, P., Schwinger, J., Bopp, L., Boucher, O., Cadule, P., Chamberlain, M. A., Christian, J. R., Delire, C., Fisher, R. A., Hajima, T., Ilyina, T., Joetzjer, E., Kawamiya, M., Koven, C. D., Krasting, J. P., Law, R. M., Lawrence, D. M., Lenton, A., Lindsay, K., Pongratz, J., Raddatz, T., Séférian, R., Tachiiri, K., Tjiputra, J. F., Wiltshire, A., Wu, T., and Ziehn, T.: Carbon–concentration and carbon–climate feedbacks in CMIP6 models and their comparison to CMIP5 models, Biogeosciences, 17, 4173–4222, https://doi.org/10.5194/bg-17-4173-2020, 2020. 3. Baier, B. C., Sweeney, C., Choi, Y., Davis, K. J., DiGangi, J. P., Feng, S.,
Fried, A., Halliday, H., Higgs, J., Lauvaux, T., Miller, B. R., Montzka, S.
A., Newberger, T., Nowak, J. B., Patra, P., Richter, D., Walega, J., and
Weibring, P.: Multispecies Assessment of Factors Influencing Regional
CO2 and CH4 Enhancements During the Winter 2017 ACT-America
Campaign, J. Geophys. Res.-Atmos., 125, e2019JD031339,
https://doi.org/10.1029/2019jd031339, 2020. 4. Baldocchi, D. D., Krebs, T., and Leclerc, M. Y.: “Wet/dry Daisyworld”: a
conceptual tool for quantifying the spatial scaling of heterogeneous
landscapes and its impact on the subgrid variability of energy fluxes,
Tellus B, 57, 175–188,
https://doi.org/10.1111/j.1600-0889.2005.00149.x, 2005. 5. Bosilovich, M. G., Chern, J.-D., Mocko, D., Robertson, F. R., and da Silva,
A. M.: Evaluating Observation Influence on Regional Water Budgets in
Reanalyses, J. Climate, 28, 3631–3649, https://doi.org/10.1175/jcli-d-14-00623.1, 2015.
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|