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TitleMeteorological fields over Indianapolis, IN from the Weather Research and Forecasting model (WRF v3.5.1)
Date2020
AbstractThe data set contains hourly meteorological variables over Indianapolis, IN and its surroundings (nine counties around the metropolitan area) at 1-km horizontal resolution and 60 vertical levels (up to 50hPa), as simulated by the Weather Research and Forecasting model (WRF v3.5.1) using Four-Dimensional Data Assimilation (FDDA - observation nudging) of measurement stations from the World Meteorological Organization. Additional technical information about the model configuration have been documented in Deng et al. (2017). In short, the WRF configuration consists of three nested grids with 9-/3-/1-km horizontal resolutions, and 60 vertical model layers, with the first model layer at about 7 m AGL and with 24 model layers below 1.5 km AGL. The model physics includes the MYNN PBL scheme, Noah land surface scheme, RRTM longwave and Dudhia shortwave radiation schemes, and WSM-5 microphysical scheme. The Kain-Fritsch cumulus parametrization scheme is used on the 9-km grid. For FDDA, both analysis nudging and observational nudging are used to assimilate observations. The 5-day WRF simulations cover the time period 1 Sept 2012 to 28 Oct 2015. These meteorological simulations were designed to provide meteorological input fields to a Lagrangian Particle Dispersion Model (Lauvaux et al., 2016; Nathan et al., 2018; Lauvaux et al., ES&T, in review). Two formats are provided here, with a reduced set of WRF variables (named wrflight), and the full set of variables (wrfout). The Indianapolis Flux Experiment (INFLUX) was designed to develop and evaluate methods for the measurement and modeling of greenhouse gas fluxes from urban environments. Determination of greenhouse gas fluxes and uncertainty bounds is essential for the evaluation of the effectiveness of mitigation strategies.
MetadataClick here for full metadata
Data DOIdoi:10.26208/z04g-3h91

Researchers
Deng, A.
Penn State Department of Meteorology
Lauvaux, T.
Penn State Department of Meteorology
Miles, N. L.
Penn State Department of Meteorology
Davis, K. J.
Penn State Department of Meteorology
Barkley, Z. R.
Penn State Department of Meteorology

Data Access


References
Deng, A., Lauvaux, T., Davis, K.J., Gaudet, B.J., Miles, N.L., Richardson, S.J., Wu, K., Sarmiento, D.P., Hardesty, R.M., Bonin, T.A., Brewer, W.A., and Gurney, K.R.: Toward reduced transport errors in a high resolution urban CO2 inversion system, Elem Sci Anth. 2017;5:20. DOI: http://doi.org/10.1525/elementa.133, 2017.
Lauvaux T, Miles NL, Deng A, Richardson SJ, Cambaliza MO, Davis KJ, Gaudet B, Gurney KR, Huang J, Karion A, Oda T, Patasaruk R, Razlivanov I, Sarmiento D, Shepson P, Sweeney C, Turnbull J, and Wu K: High resolution atmospheric inversion of urban CO2 emissions during the dormant season of the Indianapolis Flux Experiment (INFLUX), Journal of Geophys. Res. Atmos., 121, doi:10.1002/2015JD024473, 2016.
Nathan, B., Lauvaux, T., Turnbull, J., Richardson, S. R., Miles, N.L., and Gurney, K.R: Source Sector Attribution of CO2 Emissions Using an Urban CO/CO2 Bayesian Inversion System, J. Geophys. Res. Atmos., accepted, 2018.
Miles, N.L., Richardson, S.J., Lauvaux, T., Davis, K.J., Balashov, N.V., Deng, A., Turnbull, J.C., Sweeney, C., Gurney, K.R., Patarasuk, R., Razlivanov, I., Cambaliza, M.O.L., and Shepson, P.B.: Quantification of urban atmospheric boundary layer greenhouse gas dry mole fraction enhancements: Results from the Indianapolis Flux Experiment (INFLUX), Elem Sci Anth. 2017;5:27. DOI: http://doi.org/10.1525/elementa.127, 2017.