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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 10, issue 8
Geosci. Model Dev., 10, 3085–3104, 2017
https://doi.org/10.5194/gmd-10-3085-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 10, 3085–3104, 2017
https://doi.org/10.5194/gmd-10-3085-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Model evaluation paper 21 Aug 2017

Model evaluation paper | 21 Aug 2017

Biogenic isoprene emissions driven by regional weather predictions using different initialization methods: case studies during the SEAC4RS and DISCOVER-AQ airborne campaigns

Min Huang et al.

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Anderson, M. C., Norman, J. M., Mecikalski, J. R., Otkin, J. P., and Kustas, W. P.: A climatological study of surface fluxes and moisture stress across the continental United States based on thermal infrared remote sensing, Part I: model formulation, J. Geophys. Res., 112, D10117, https://doi.org/10.1029/2006JD007506, 2007.
Angevine, W. M., Eddington, L., Durkee, K., Fairall, C., Bianco, L., and Brioude, J.: Meteorological model evaulation for CalNex 2010, Mon. Weather Rev., 140, 3885–3906, https://doi.org/10.1175/MWR-D-12-00042.1, 2012.
Angevine, W. M., Bazile, E., Legain, D., and Pino, D.: Land surface spinup for episodic modeling, Atmos. Chem. Phys., 14, 8165–8172, https://doi.org/10.5194/acp-14-8165-2014, 2014.
Bell, J. R., Case, J. L., LaFontaine, F. J., and Kumar, S. V.: Evaluating the Impacts of NASA/SPoRT Daily Greenness Vegetation Fraction on Land Surface Model and Numerical Weather Forecasts, the 16th Symposium on Integrated Observing and Assimilation Systems for Atmosphere, Oceans, and Land Surface, New Orleans, LA, 22–26 January 2012, available at: http://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20120004024.pdf (last access: January 2017), 2012.
Byun, D. and Schere, K. L.: Review of the Governing Equations, Computational Algorithms, and Other Components of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System, Appl. Mech. Rev., 59, 51–77, https://doi.org/10.1115/1.2128636, 2006.
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Short summary
Various sensitivity simulations during two airborne campaigns were performed to assess the impact of different initialization methods and model resolutions on NUWRF-modeled weather states, heat fluxes, and the follow-on MEGAN isoprene emission calculations. Proper land initialization is shown to be important to the coupled weather modeling and the follow-on emission modeling, which is also critical to accurately representing other processes in air quality modeling and data assimilation.
Various sensitivity simulations during two airborne campaigns were performed to assess the...
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