Evaluation of Parameterized Convective Transport of Trace Gases in Simulation of Storms Observed During the DC3 Field Campaign.

Autor: Li Y; Department of Atmospheric and Oceanic Sciences, University of Maryland, College Park, MD, USA., Pickering KE; Department of Atmospheric and Oceanic Sciences, University of Maryland, College Park, MD, USA., Barth MC; National Center for Atmospheric Research, Boulder, CO, USA., Bela MM; University of Colorado Cooperative Institute for Research in Environmental Sciences (CIRES) at the NOAA Earth System Research Laboratory (ESRL) Chemical Sciences Division, Boulder, CO, USA., Cummings KA; Kennedy Space Center, National Aeronautics and Space Administration (NASA), FL, USA., Allen DJ; Department of Atmospheric and Oceanic Sciences, University of Maryland, College Park, MD, USA.
Jazyk: angličtina
Zdroj: Journal of geophysical research. Atmospheres : JGR [J Geophys Res Atmos] 2018 Sep 14; Vol. 123 (19), pp. 11238-11261.
DOI: 10.1029/2018jd028779
Abstrakt: Deep convective transport of surface moisture and pollution from the planetary boundary layer to the upper troposphere and lower stratosphere affects the radiation budget and climate. This study uses cloud-parameterized Weather Research and Forecasting model coupled with Chemistry simulations to analyze the subgrid deep convective transport of CO at 12- and 36-km horizontal resolution in supercell and mesoscale convective systems observed during the 2012 Deep Convective Clouds and Chemistry field campaign and compares the simulation results with aircraft measurements and cloud-resolved simulations. The best Weather Research and Forecasting simulation of these storms was obtained with the use of the Grell-Freitas convective scheme. The default Weather Research and Forecasting model coupled with Chemistry subgrid convective transport scheme was replaced with a scheme to compute convective transport within the Grell-Freitas subgrid cumulus parameterization, which resulted in improved transport simulations. We examined the CO tendencies due to subgrid- and grid-scale convective transport. Results showed that the subgrid convective transport started earlier than the grid-scale convective transport. The subgrid-scale convective transport reached its maximum during the hour prior to the formation of the grid-scale constant-altitude detrainment layer. After that, both the subgrid- and grid-scale convective transport began to decrease. The subgrid-scale convective transport played a more significant role in the supercell case than the mesoscale convective system case. Subgrid contribution reached ~90% at the beginning of the storm and decreased to ~30% (17%) for the 36-km (12-km) domain 4 hr later.
Databáze: MEDLINE
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