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TitleFull WRF-Chem output in support of the NASA Atmospheric Carbon and Transport (ACT)-America project (7/1/2016 – 7/31/2019)
Date2020
AbstractThe NASA Atmospheric Carbon and Transport (ACT) – America project conducted five airborne campaigns across three regions in the eastern United States to study the transport and fluxes of atmospheric carbon dioxide (CO2) and methane (CH4). Each six-week campaign measured how weather systems transport these greenhouse gases. The objective of the study is to enable more accurate and precise estimates of the sources and sinks of these gases. Better estimates of greenhouse gas sources and sinks are needed for climate management and for prediction of future climate. ACT America addresses three primary sources of uncertainty in our ability to infer carbon dioxide and methane sources and sinks – transport error, prior flux uncertainty and limited data density. This WRF-Chem simulation is the baseline simulation in support of the ACT-America team and broader community to achieve above project goals. It serves as the complementary information to the ACT-America measurements and help scientists to interpret the data with a broader picture in space and time. The simulation domain contains most of North America at 27 km horizontal resolution. The model has 50 levels up to 50 hPa with 20 levels in the lowest 1 km. The model meteorology is initialized every five days and driven with ERA5 reanalysis every six hours at 25-km horizontal resolution. The WRF-Chem dynamic is relaxed to ERA5 meteorology every six hours using grid nudging. We also update sea surface temperature every six hours at 12-km resolution. Choices of the model physics parameterizations used in this experiment are documented as the baseline setup in Feng et al (2019a; 2019b). This simulation is run with WRF-Chem version 3.6.1 with the tracer modification described in Lauvaux (2012). Specifically, the CarbonTracker (Peters et al., 2007) CO2 components, CASA biogenic fluxes (Zhou et al, 2019), SiB4 biogenic fluxes (Haynes et al., 2019a; Haynes et al., 2019b), CH4 EPA emissions (Maasakkers et al., 2016), CH4 wetland (from WETCharts), CarbonTracker CH4, EDGAR (nssens-Maenhout et al., 2019), and Ethane inventory (Tzompa-Sosa et al., 2017) are included in this simulation.
MetadataClick here for full metadata
Data DOIdoi:10.26208/rqf5-q142

Researchers
Feng, S.
Penn State Department of Meteorology
Lauvaux, T.
Penn State Department of Meteorology
Barkley, Z. R.
Penn State Department of Meteorology
Davis, K. J.
Penn State Department of Meteorology
Butler, M. P.
Penn State Department of Meteorology
Deng, A.
Penn State Department of Meteorology
Gaudet, B.
Penn State Department of Meteorology
Stauffer, D.
Penn State Department of Meteorology

Data Access


References
Feng, S., T. Lauvuax, K. Klaus, K. Davis, P. Rayner, T. Oda, K. Gurney, 2019a: A road map for improving the treatment of uncertainties in high-resolution regional carbon flux estimates. Geophys. Res. Lett., 46. https://doi.org/10.1029/2019GL082987
Feng, S., T. Lauvaux, K. Davis, K. Keller, Y. Zhou, C. Willimans, A. Schuh, J. Liu, I. Baker, 2019b: Seasonal characteristics of model uncertainties from biogenic fluxes, transport, and large-scale boundary inflow in atmospheric CO2 simulations over North America. J. Geophys. Res.-Atmos., 124: 14325– 14346. https://doi.org/10.1029/2019JD031165
Haynes, K., Baker, I. T., Denning, S., St ¨ockli, R., Schaefer, K., Lokupitiya, E. Y., Haynes, J. M. (2019a). Representing grasslands using dynamic prognostic phenology based on biological growth stages: 1. Implementation in the Simple Biosphere Model (SiB4). J. Adv. Mod. Earth Sy., 11. https://doi.org/10.1029/ 2018MS001540
Haynes, K. D., Baker, I. T., Denning, A. S., Wolf, S., Wohlfahrt, G., Kiely, G., et al. (2019b). Representing grasslands using dynamic prognostic phenology based on biological growth stages: 2. Carbon cycling. , J. Adv. Mod. Earth Sy., 11. https:// doi.org/10.1029/2018MS001541
Janssens-Maenhout, G., Crippa, M., Guizzardi, D., Muntean, M., Schaaf, E., Dentener, F., Bergamaschi, P., Pagliari, V., Olivier, J. G. J., Peters, J. A. H. W., van Aardenne, J. A., Monni, S., Doering, U., Petrescu, A. M. R., Solazzo, E., and Oreggioni, G. D.: EDGAR v4.3.2 Global Atlas of the three major greenhouse gas emissions for the period 1970–2012, Earth Syst. Sci. Data, 11, 959–1002, https://doi.org/10.5194/essd-11-959-2019, 2019.
Lauvaux, T., Schuh, A. E., Uliasz, M., Richardson, S., Miles, N., Andrews, A. E., et al. (2012). Constraining the CO2 budget of the corn belt: exploring uncertainties from the assumptions in a mesoscale inverse system. Atmospheric Chemistry and Physics, 12(1), 337–354. https://doi.org/10.5194/acp-12-337-2012
Maasakkers, J. D.; Jacob, D. J.; Sulprizio, M. P.; Turner, A. J.; Weitz, M.; Wirth, T.; Hight, C.; DeFigueiredo, M.; Desai, M.; Schmeltz, R.; Hockstad, L.; Bloom, A. A.; Bowman, K. W.; Jeong, S.; Fischer, M. L. Gridded National Inventory of U.S. Methane Emissions. Environ. Sci. Technol. 2016, 50, 13123– 13133, DOI: 10.1021/acs.est.6b02878
Peters, W., Jacobson, A. R., Sweeney, C., Andrews, A. E., Conway, T. J., Masarie, K., et al. (2007). An atmospheric perspective on North American carbon dioxide exchange: CarbonTracker. Proceedings of the National Academy of Sciences, 104(48), 18,925–18,930. https:// doi.org/10.1073/pnas.0708986104
Tzompa-Sosa, Z. A., et al. (2017), Revisiting global fossil fuel and biofuel emissions of ethane, J. Geophys. Res. 2016JD025767.
Zhou, Y., Williams, C. A., Lauvaux, T., Davis, K. J., Feng, S., Baker, I., et al. (2020). A multiyear gridded data ensemble of surface biogenic carbon fluxes for North America: Evaluation and analysis of results. Journal of Geophysical Research: Biogeosciences, 125, e2019JG005314. https://doi.org/ 10.1029/2019JG005314